Publications

Research Publications

2017

Journal Articles

  • [DOI] A. Banerjee, A. Pal, D. Pal, and P. Mitra, “Ebolavirus interferon antagonists\textemdashprotein interaction perspectives to combat pathogenesis,” Briefings in functional genomics, 2017.
    [Bibtex]
    @article{17DP14,
    doi = {10.1093/bfgp/elx034},
    url = {https://doi.org/10.1093/bfgp/elx034},
    year = {2017},
    month = {nov},
    publisher = {Oxford University Press ({OUP})},
    author = {Anupam Banerjee and Abantika Pal and Debnath Pal and Pralay Mitra},
    title = {Ebolavirus interferon antagonists{\textemdash}protein interaction perspectives to combat pathogenesis},
    journal = {Briefings in Functional Genomics}
    }
  • [DOI] P. Bhadra and D. Pal, “Pipeline for ınferring protein function from dynamics using coarse-grained molecular mechanics forcefield,” Comput. biol. med., vol. 83, iss. C, pp. 134-142, 2017.
    [Bibtex]
    @article{17DP17,
    author = {Bhadra, Pratiti and Pal, Debnath},
    title = {Pipeline for Inferring Protein Function from Dynamics Using Coarse-grained Molecular Mechanics Forcefield},
    journal = {Comput. Biol. Med.},
    issue_date = {April 2017},
    volume = {83},
    number = {C},
    month = {apr},
    year = {2017},
    issn = {0010-4825},
    pages = {134--142},
    numpages = {9},
    url = {https://doi.org/10.1016/j.compbiomed.2017.02.009},
    doi = {10.1016/j.compbiomed.2017.02.009},
    acmid = {3076668},
    publisher = {Pergamon Press, Inc.},
    address = {Elmsford, NY, USA},
    keywords = {Database, Dynamics, Forcefield, Molecular function, Simulation}
    }
  • A. Biswas, A. Shukla, R. Vijayan, J. Jeyakanthan, and K. Sekar, “Crystal structures of an archaeal thymidylate kinase from ſulfolobus tokodaii provide insights into the role of a conserved active site arginine residue,” Journal of structural biology, vol. 197, iss. 3, pp. 236-249, 2017.
    [Bibtex]
    @article{17KS23,
    title={Crystal structures of an archaeal thymidylate kinase from Sulfolobus tokodaii provide insights into the role of a conserved active site Arginine residue},
    author={Biswas, Ansuman and Shukla, Arpit and Vijayan, RSK and Jeyakanthan, Jeyaraman and Sekar, Kanagaraj},
    journal={Journal of structural biology},
    volume={197},
    number={3},
    pages={236--249},
    year={2017},
    publisher={Elsevier}
    }
  • [DOI] S. Biswas and V. R. Babu, “Anomaly detection via short local trajectories,” Neurocomputing, vol. 242, pp. 63-72, 2017.
    [Bibtex]
    @article{17VB12,
    title = "Anomaly detection via short local trajectories",
    journal = "Neurocomputing",
    volume = "242",
    pages = "63 - 72",
    year = "2017",
    issn = "0925-2312",
    doi = "https://doi.org/10.1016/j.neucom.2017.02.058",
    url = "http://www.sciencedirect.com/science/article/pii/S0925231217303491",
    author = "Sovan Biswas and R. Venkatesh Babu",
    keywords = "Anomaly detection, Short local trajectory, Super-pixels, Hidden Markov Model"
    }
  • A. Biswas, A. Shukla, S. K. Chaudhary, R. Santhosh, J. Jeyakanthan, and K. Sekar, “Structural studies of a hyperthermophilic thymidylate kinase enzyme reveal conformational sub-states along the reaction coordinate,” The febſ journal, 2017.
    [Bibtex]
    @article{17KS20,
    title={Structural studies of a hyperthermophilic Thymidylate Kinase enzyme reveal conformational sub-states along the reaction coordinate},
    author={Biswas, Ansuman and Shukla, Arpit and Chaudhary, Santosh Kumar and Santhosh, Rajendran and Jeyakanthan, Jeyaraman and Sekar, Kanagaraj},
    journal={The FEBS journal},
    year={2017},
    publisher={Wiley Online Library}
    }
  • B. Chakrabarti, H. R. Bairagya, B. P. Mukhopadhyay, and K. Sekar, “New biochemical insight of conserved water molecules at catalytic and structural zn2+ ions in human matrix metalloproteinase-ı: a study by md-simulation,” Journal of molecular modeling, vol. 23, iss. 2, p. 57, 2017.
    [Bibtex]
    @article{17KS22,
    title={New biochemical insight of conserved water molecules at catalytic and structural Zn2+ ions in human matrix metalloproteinase-I: a study by MD-simulation},
    author={Chakrabarti, Bornali and Bairagya, Hridoy R and Mukhopadhyay, Bishnu P and Sekar, K},
    journal={Journal of molecular modeling},
    volume={23},
    number={2},
    pages={57},
    year={2017},
    publisher={Springer}
    }
  • [DOI] S. Das, P. Bhadra, S. Ramakumar, and D. Pal, “Molecular dynamics ınformation ımproves cis-peptide-based function annotation of proteins,” Journal of proteome research, vol. 16, iss. 8, pp. 2936-2946, 2017.
    [Bibtex]
    @article{17DP16,
    author = {Das, Sreetama and Bhadra, Pratiti and Ramakumar, Suryanarayanarao and Pal, Debnath},
    title = {Molecular Dynamics Information Improves cis-Peptide-Based Function Annotation of Proteins},
    journal = {Journal of Proteome Research},
    volume = {16},
    number = {8},
    pages = {2936-2946},
    year = {2017},
    doi = {10.1021/acs.jproteome.7b00217},
    note ={PMID: 28633522},
    URL = { https://doi.org/10.1021/acs.jproteome.7b00217 },
    eprint = {https://doi.org/10.1021/acs.jproteome.7b00217}
    }
  • S. Ganesan and S. Srivastava, “Ale-ſupg finite element method for convection–diffusion problems in time-dependent domains: conservative form,” Applied mathematics and computation, vol. 303, pp. 128-145, 2017.
    [Bibtex]
    @article{17SKG27,
    title={ALE-SUPG finite element method for convection--diffusion problems in time-dependent domains: Conservative form},
    author={Ganesan, Sashikumaar and Srivastava, Shweta},
    journal={Applied Mathematics and Computation},
    volume={303},
    pages={128--145},
    year={2017},
    publisher={Elsevier}
    }
  • S. Ganesan and S. Lingeshwaran, “Galerkin finite element method for cancer invasion mathematical model,” Computers & mathematics with applications, vol. 73, iss. 12, pp. 2603-2617, 2017.
    [Bibtex]
    @article{17SKG28,
    title={Galerkin finite element method for cancer invasion mathematical model},
    author={Ganesan, Sashikumaar and Lingeshwaran, Shangerganesh},
    journal={Computers \& Mathematics with Applications},
    volume={73},
    number={12},
    pages={2603--2617},
    year={2017},
    publisher={Elsevier}
    }
  • S. Ganesan and S. Lingeshwaran, “A biophysical model of tumor invasion,” Communications in nonlinear ſcience and numerical ſimulation, vol. 46, pp. 135-152, 2017.
    [Bibtex]
    @article{17SKG29,
    title={A biophysical model of tumor invasion},
    author={Ganesan, Sashikumaar and Lingeshwaran, Shangerganesh},
    journal={Communications in Nonlinear Science and Numerical Simulation},
    volume={46},
    pages={135--152},
    year={2017},
    publisher={Elsevier}
    }
  • S. Garg and M. Venkatapathi, “Fano-type spectra and other interference effects in an all-dielectric nanoshell,” Journal of optics, vol. 19, iss. 7, p. 75603, 2017.
    [Bibtex]
    @article{17VN01,
    author={Srishti Garg and Murugesan Venkatapathi},
    title={Fano-type spectra and other interference effects in an all-dielectric nanoshell},
    journal={Journal of Optics},
    volume={19},
    number={7},
    pages={075603},
    url={http://stacks.iop.org/2040-8986/19/i=7/a=075603},
    year={2017}
    }
  • R. Ghosh and Y. Simmhan, “Distributed ſcheduling of event analytics across edge and cloud,” Acm transactions on cyber-physical ſystems (tcpſ), 2017.
    [Bibtex]
    @article{ghosh:tcps:2017,
    author = {Rajrup Ghosh and Yogesh Simmhan},
    title = {Distributed Scheduling of Event Analytics across Edge and Cloud},
    journal = {ACM Transactions on Cyber-Physical Systems (TCPS)},
    year = {2017},
    note = {To Appear},
    keywords = {iisc, peer reviewed, stream processing, edge computing, iot},
    owner = {simmhan},
    timestamp = {2018.03.12},
    url = {https://arxiv.org/abs/1608.01537}
    }
  • S. Gutta, V. S. Kadimesetty, S. K. Kalva, M. Pramanik, S. Ganapathy, and P. K. Yalavarthy, “Deep neural network-based bandwidth enhancement of photoacoustic data,” Journal of biomedical optics, vol. 22, iss. 11, p. 116001, 2017.
    [Bibtex]
    @article{17PY32,
    title={Deep neural network-based bandwidth enhancement of photoacoustic data},
    author={Gutta, Sreedevi and Kadimesetty, Venkata Suryanarayana and Kalva, Sandeep Kumar and Pramanik, Manojit and Ganapathy, Sriram and Yalavarthy, Phaneendra K},
    journal={Journal of biomedical optics},
    volume={22},
    number={11},
    pages={116001},
    year={2017},
    publisher={International Society for Optics and Photonics}
    }
  • K. Hatti, A. Biswas, S. Chaudhary, V. Dadireddy, K. Sekar, N. Srinivasan, and M. R. Murthy, “Structure determination of contaminant proteins using the marathonmr procedure,” Journal of structural biology, vol. 197, iss. 3, pp. 372-378, 2017.
    [Bibtex]
    @article{17KS21,
    title={Structure determination of contaminant proteins using the MarathonMR procedure},
    author={Hatti, Kaushik and Biswas, Ansuman and Chaudhary, Santosh and Dadireddy, Venkatareddy and Sekar, Kanagaraj and Srinivasan, Narayanaswamy and Murthy, Mathur RN},
    journal={Journal of structural biology},
    volume={197},
    number={3},
    pages={372--378},
    year={2017},
    publisher={Elsevier}
    }
  • B. Javvaji, S. Raha, and D. Mahapatra, “Length-scale and strain rate-dependent mechanism of defect formation and fracture in carbon nanotubes under tensile loading.,” Journal of nanoparticle research, vol. 19, iss. 2, pp. 1-17, 2017.
    [Bibtex]
    @article{17SR08,
    Author = {Javvaji, Brahmanandam and Raha, S. and Mahapatra, D.},
    ISSN = {13880764},
    Journal = {Journal of Nanoparticle Research},
    Keywords = {STRAIN rate (Materials science), CRYSTAL defects, CARBON nanotubes, TENSILE strength, FRACTURE mechanics, Carbon nanotube, Defects, Fracture, Length scale, Mechanical properties, Molecular dynamics simulations, Strain rate},
    Number = {2},
    Pages = {1 - 17},
    Title = {Length-scale and strain rate-dependent mechanism of defect formation and fracture in carbon nanotubes under tensile loading.},
    Volume = {19},
    URL = {http://search.ebscohost.com/login.aspx?direct=true&db=asx&AN=121976774&site=eds-live},
    Year = {2017},
    }
  • S. Jha, D. S. Katz, A. Luckow, N. Chue Hong, O. Rana, and Y. Simmhan, “Introducing distributed dynamic data-intensive (d3) science: understanding applications and infrastructure,” Concurrency and computation: practice and experience, vol. 29, iss. 8, 2017.
    [Bibtex]
    @article{jha2017introducing,
    title={Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure},
    author={Jha, Shantenu and Katz, Daniel S and Luckow, Andre and Chue Hong, Neil and Rana, Omer and Simmhan, Yogesh},
    journal={Concurrency and Computation: Practice and Experience},
    volume={29},
    number={8},
    year={2017},
    publisher={Wiley Online Library}
    }
  • A. Kashyap, S. S. Vadhiyar, R. S. Nanjundiah, and P. Vinayachandran, “Asynchronous and synchronous models of executions on ıntel\textregistered xeon phi™ coprocessor systems for high performance of long wave radiation calculations in atmosphere models,” Journal of parallel and distributed computing, vol. 102, pp. 199-212, 2017.
    [Bibtex]
    @article{kashyap2017asynchronous,
    title={Asynchronous and synchronous models of executions on Intel{\textregistered} Xeon Phi™ coprocessor systems for high performance of long wave radiation calculations in atmosphere models},
    author={Kashyap, Amlesh and Vadhiyar, Sathish S and Nanjundiah, Ravi S and Vinayachandran, PN},
    journal={Journal of Parallel and Distributed Computing},
    volume={102},
    pages={199--212},
    year={2017},
    publisher={Elsevier}
    }
  • [DOI] S. S. S. Kruthiventi, K. Ayush, and R. V. Babu, “Deepfix: a fully convolutional neural network for predicting human eye fixations,” Ieee transactions on ımage processing, vol. 26, iss. 9, pp. 4446-4456, 2017.
    [Bibtex]
    @article{17VB11,
    author={S. S. S. Kruthiventi and K. Ayush and R. V. Babu},
    journal={IEEE Transactions on Image Processing},
    title={DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations},
    year={2017},
    volume={26},
    number={9},
    pages={4446-4456},
    doi={10.1109/TIP.2017.2710620},
    ISSN={1057-7149},
    month={Sept}
    }
  • S. Kumar and S. Ganesan, “Numerical simulation of nanocrystal synthesis in a microfluidic reactor,” Computers & chemical engineering, vol. 96, pp. 128-138, 2017.
    [Bibtex]
    @article{17SKG30,
    title={Numerical simulation of nanocrystal synthesis in a microfluidic reactor},
    author={Kumar, Satish and Ganesan, Sashikumaar},
    journal={Computers \& Chemical Engineering},
    volume={96},
    pages={128--138},
    year={2017},
    publisher={Elsevier}
    }
  • F. Merchant, A. Chattopadhyay, S. Raha, S. K. Nandy, and R. Narayan, “Accelerating blaſ and lapack via efficient floating point architecture design,” Parallel processing letters, vol. 27, iss. 03n04, p. 1750006, 2017.
    [Bibtex]
    @article{17SR07,
    title={Accelerating BLAS and LAPACK via Efficient Floating Point Architecture Design},
    volume={27}, url={http://dx.doi.org/10.1142/S0129626417500062},
    DOI={10.1142/s0129626417500062},
    number={03n04},
    journal={Parallel Processing Letters},
    publisher={World Scientific Pub Co Pte Lt},
    author={Merchant, Farhad and Chattopadhyay, Anupam and Raha, Soumyendu and Nandy, S. K. and Narayan, Ranjani},
    year={2017},
    month={Dec},
    pages={1750006}
    }
  • K. R. Mopuri, V. B. Athreya, and V. R. Babu, “Deep image representations using caption generators,” Arxiv preprint arxiv:1705.09142, 2017.
    [Bibtex]
    @article{mopuri2017deep,
    title={Deep image representations using caption generators},
    author={Mopuri, Konda Reddy and Athreya, Vishal B and Babu, R Venkatesh},
    journal={arXiv preprint arXiv:1705.09142},
    year={2017}
    }
  • [DOI] S. B. Mukherjee, D. Datta, S. Raha, and D. Pal, “Numerical simulation of a glucose sensitive composite membrane closed-loop insulin delivery system,” Bioprocess and biosystems engineering, vol. 40, iss. 10, pp. 1453-1462, 2017.
    [Bibtex]
    @article{17SR05,
    author="Mukherjee, Shashi Bajaj and Datta, Debabrata and Raha, Soumyendu and Pal, Debnath",
    title="Numerical simulation of a glucose sensitive composite membrane closed-loop insulin delivery system",
    journal="Bioprocess and Biosystems Engineering",
    year="2017",
    month="Oct",
    day="01",
    volume="40",
    number="10",
    pages="1453--1462",
    issn="1615-7605",
    doi="10.1007/s00449-017-1803-1",
    url="https://doi.org/10.1007/s00449-017-1803-1"
    }
  • S. Nalesh, K. T. Madhu, S. Das, S. K. Nandy, and R. Narayan, “Energy aware synthesis of application kernels through composition of data-paths on a cgra,” Integration, the vlſı journal, vol. 58, pp. 320-328, 2017.
    [Bibtex]
    @article{nalesh2017energy,
    title={Energy aware synthesis of application kernels through composition of data-paths on a CGRA},
    author={Nalesh, S and Madhu, Kavitha T and Das, Saptarsi and Nandy, S. K. and Narayan, Ranjani},
    journal={Integration, the VLSI Journal},
    volume={58},
    pages={320--328},
    year={2017},
    publisher={Elsevier}
    }
  • [DOI] D. R. Nayak, N. Bhat, M. Venkatapathi, and S. Umapathy, “Impact of ultrathin dielectric spacers on ſerſ: energy transfer between polarized charges and plasmons,” J. mater. chem. c, vol. 5, pp. 2123-2129, 2017.
    [Bibtex]
    @Article{17VN02,
    author ="Nayak, D. R. and Bhat, N. and Venkatapathi, M. and Umapathy, S.",
    title ="Impact of ultrathin dielectric spacers on SERS: energy transfer between polarized charges and plasmons",
    journal ="J. Mater. Chem. C",
    year ="2017",
    volume ="5",
    issue ="8",
    pages ="2123-2129",
    publisher ="The Royal Society of Chemistry",
    doi ="10.1039/C6TC05122G",
    url ="http://dx.doi.org/10.1039/C6TC05122G"
    }
  • B. Pal and S. Ganesan, “Projection-based variational multiscale method for incompressible navier–ſtokes equations in time-dependent domains,” International journal for numerical methods in fluids, vol. 84, iss. 1, pp. 19-40, 2017.
    [Bibtex]
    @article{pal2017projection,
    title={Projection-based variational multiscale method for incompressible Navier--Stokes equations in time-dependent domains},
    author={Pal, Birupaksha and Ganesan, Sashikumaar},
    journal={International Journal for Numerical Methods in Fluids},
    volume={84},
    number={1},
    pages={19--40},
    year={2017},
    publisher={Wiley Online Library}
    }
  • B. Pal and S. Ganesan, “Projection-based variational multiscale method for incompressible navier–ſtokes equations in time-dependent domains,” International journal for numerical methods in fluids, vol. 84, iss. 1, pp. 19-40, 2017.
    [Bibtex]
    @article{17SKG31,
    title={Projection-based variational multiscale method for incompressible Navier--Stokes equations in time-dependent domains},
    author={Pal, Birupaksha and Ganesan, Sashikumaar},
    journal={International Journal for Numerical Methods in Fluids},
    volume={84},
    number={1},
    pages={19--40},
    year={2017},
    publisher={Wiley Online Library}
    }
  • [DOI] H. Rahman, R. Soundararajan, and R. V. Babu, “Evaluating multiexposure fusion using ımage ınformation,” Ieee ſignal processing letters, vol. 24, iss. 11, pp. 1671-1675, 2017.
    [Bibtex]
    @article{17VB10,
    author={H. Rahman and R. Soundararajan and R. V. Babu},
    journal={IEEE Signal Processing Letters},
    title={Evaluating Multiexposure Fusion Using Image Information},
    year={2017},
    volume={24},
    number={11},
    pages={1671-1675},
    doi={10.1109/LSP.2017.2752233},
    ISSN={1070-9908},
    month={Nov}
    }
  • [DOI] N. P. Rao, H. Jeelani, R. Achalia, G. Achalia, A. Jacob, R. dawn Bharath, S. Varambally, G. Venkatasubramanian, and P. K. Yalavarthy, “Population differences in brain morphology: need for population specific brain template,” Psychiatry research: neuroimaging, vol. 265, pp. 1-8, 2017.
    [Bibtex]
    @article{17PY33,
    doi = {10.1016/j.pscychresns.2017.03.018},
    url = {https://doi.org/10.1016/j.pscychresns.2017.03.018},
    year = {2017},
    month = {jul},
    publisher = {Elsevier {BV}},
    volume = {265},
    pages = {1--8},
    author = {Naren P. Rao and Haris Jeelani and Rashmin Achalia and Garima Achalia and Arpitha Jacob and Rose dawn Bharath and Shivarama Varambally and Ganesan Venkatasubramanian and Phaneendra K. Yalavarthy},
    title = {Population differences in brain morphology: Need for population specific brain template},
    journal = {Psychiatry Research: Neuroimaging}
    }
  • [DOI] L. Ravilla, N. Venkata subba Naidu, S. Dogra, D. Umrao, P. N. Yadav, A. Biswas, D. Michael, K. Sekar, and K. Nagarajan, “Opioid receptor modulators with a cinnamyl group,” Journal of medicinal chemistry, vol. 60, iss. 15, pp. 6733-6750, 2017.
    [Bibtex]
    @article{17KS19,
    author = {Ravilla, Lokesh and Venkata subba Naidu, N. and Dogra, Shalini and Umrao, Deepmala and Yadav, Prem N. and Biswas, Ansuman and Michael, Daliah and Sekar, Kanagaraj and Nagarajan, Kuppuswamy},
    title = {Opioid Receptor Modulators with a Cinnamyl Group},
    journal = {Journal of Medicinal Chemistry},
    volume = {60},
    number = {15},
    pages = {6733-6750},
    year = {2017},
    doi = {10.1021/acs.jmedchem.7b00643},
    note ={PMID: 28726402},
    URL = { https://doi.org/10.1021/acs.jmedchem.7b00643},
    eprint = { https://doi.org/10.1021/acs.jmedchem.7b00643}
    }
  • S. G. Rayapadi, R. Sudha, S. Kanagaraj, and A. Anand, “Melioidosis database (mdb): a comprehensive web-based resource on melioidosis and gene protein repository for burkholderia pseudomallei,” Reſearch journal of bıotechnology, vol. 12, iss. 1, pp. 48-55, 2017.
    [Bibtex]
    @article{17KS24,
    title={Melioidosis Database (MDB): A comprehensive web-based resource on Melioidosis and gene protein repository for Burkholderia pseudomallei},
    author={Rayapadi, Swetha G and Sudha, Ramaiah and Kanagaraj, Sekar and Anand, Anbarasu},
    journal={RESEARCH JOURNAL OF BIOTECHNOLOGY},
    volume={12},
    number={1},
    pages={48--55},
    year={2017},
    publisher={RESEARCH JOURNAL BIOTECHNOLOGY SECTOR A-80, SCHEME NO 54, VIJAY NAGAR, AB ROAD, INDORE, 452 010 MP, INDIA}
    }
  • [DOI] R. K. Sarvadevabhatla, S. Suresh, and V. R. Babu, “Object category understanding via eye fixations on freehand ſketches,” Ieee transactions on ımage processing, vol. 26, iss. 5, pp. 2508-2518, 2017.
    [Bibtex]
    @article{17VB13,
    author={R. K. Sarvadevabhatla and S. Suresh and R. Venkatesh Babu},
    journal={IEEE Transactions on Image Processing},
    title={Object Category Understanding via Eye Fixations on Freehand Sketches},
    year={2017},
    volume={26},
    number={5},
    pages={2508-2518},
    doi={10.1109/TIP.2017.2675539},
    ISSN={1057-7149},
    month={May}
    }
  • [DOI] T. Sheet, S. Ghosh, D. Pal, and R. Banerjee, “Computational design of model scaffold for anion recognition based on the ‘cαnn’ motif,” Peptide ſcience, vol. 108, iss. 1, p. e22921–n/a, 2017.
    [Bibtex]
    @article{17DP18,
    author = {Sheet, Tridip and Ghosh, Suvankar and Pal, Debnath and Banerjee, Raja},
    title = {Computational design of model scaffold for anion recognition based on the ‘CαNN’ motif},
    journal = {Peptide Science},
    volume = {108},
    number = {1},
    issn = {1097-0282},
    url = {http://dx.doi.org/10.1002/bip.22921},
    doi = {10.1002/bip.22921},
    pages = {e22921--n/a},
    keywords = {anion affinity, ‘CαNN' motif, designed peptidic scaffold, molecular docking, molecular dynamics},
    year = {2017},
    note = {e22921}
    }
  • [DOI] A. Shukla, S. Chaturvedi, and Y. Simmhan, “Rıotbench: an ıot benchmark for distributed ſtream processing ſystems,” Concurrency and computation: practice and experience, 2017.
    [Bibtex]
    @article{shukla:ccpe:2017,
    author = {Anshu Shukla and Shilpa Chaturvedi and Yogesh Simmhan},
    title = {RIoTBench: An IoT Benchmark for Distributed Stream Processing Systems},
    journal = {Concurrency and Computation: Practice and Experience},
    year = {2017},
    doi = {10.1002/cpe.4257},
    keywords = {iisc, iot, stream processing, benchmark},
    owner = {simmhan},
    timestamp = {2018.03.12},
    url = {https://arxiv.org/abs/1701.08530}
    }
  • [DOI] A. Simha and S. Raha, “Geometric methods in analysis and control of ımplicit differential ſystems,” Journal of the ındian ınstitute of ſcience, vol. 97, iss. 3, pp. 391-411, 2017.
    [Bibtex]
    @article{17SR04,
    author="Simha, Ashutosh and Raha, Soumyendu",
    title="Geometric Methods in Analysis and Control of Implicit Differential Systems",
    journal="Journal of the Indian Institute of Science",
    year="2017",
    month="Sep",
    day="01",
    volume="97",
    number="3",
    pages="391--411",
    doi="10.1007/s41745-017-0038-0",
    url="https://doi.org/10.1007/s41745-017-0038-0"
    }
  • [DOI] A. Simha, S. Vadgama, and S. Raha, “Almost-global exponential tracking of a variable pitch quadrotor on ſe(3),” Ifac-papersonline, vol. 50, iss. 1, pp. 10268-10273, 2017.
    [Bibtex]
    @article{17SR03,
    title = "Almost-Global Exponential Tracking of a Variable Pitch Quadrotor on SE(3)",
    journal = "IFAC-PapersOnLine",
    volume = "50",
    number = "1",
    pages = "10268 - 10273",
    year = "2017",
    note = "20th IFAC World Congress",
    issn = "2405-8963",
    doi = "https://doi.org/10.1016/j.ifacol.2017.08.1476",
    url = "http://www.sciencedirect.com/science/article/pii/S2405896317320530",
    author = "Ashutosh Simha and Sharvaree Vadgama and Soumyendu Raha"
    }
  • Y. Simmhan, “Iot analytics across edge and cloud platforms,” Ieee ınternet of things newsletter, 2017.
    [Bibtex]
    @article{simmhan:iotn:2017,
    author = {Yogesh Simmhan},
    title = {IoT Analytics Across Edge and Cloud Platforms},
    journal = {IEEE Internet of Things Newsletter},
    year = {2017},
    month = may,
    keywords = {iisc, edge computing, iot},
    owner = {simmhan},
    timestamp = {2017.09.22},
    url = {http://iot.ieee.org/newsletter/may-2017/iot-analytics-across-edge-and-cloud-platforms}
    }
  • A. varun Subramanya, S. Srinivas, and V. R. Babu, “Confidence estimation in deep neural networks via density modelling,” Arxiv preprint arxiv:1707.07013, 2017.
    [Bibtex]
    @article{subramanya2017confidence,
    title={Confidence estimation in Deep Neural networks via density modelling},
    author={Subramanya, Akshay varun and Srinivas, Suraj and Babu, R Venkatesh},
    journal={arXiv preprint arXiv:1707.07013},
    year={2017}
    }
  • T. Uppal, S. Raha, and S. Srivastava, “Trajectory feasibility evaluation using path prescribed control of unmanned aerial vehicle in differential algebraic equations framework,” The aeronautical journal, vol. 121, iss. 1240, p. 770–789, 2017.
    [Bibtex]
    @article{17SR06,
    author={Uppal, T. and Raha, S. and Srivastava, S.},
    title={Trajectory feasibility evaluation using path prescribed control of unmanned aerial vehicle in differential algebraic equations framework},
    volume={121},
    DOI={10.1017/aer.2017.36},
    number={1240},
    journal={The Aeronautical Journal},
    publisher={Cambridge University Press},
    year={2017},
    pages={770–789}
    }
  • J. Venkatesan and S. Ganesan, “A three-field local projection stabilized formulation for computations of oldroyd-b viscoelastic fluid flows,” Journal of non-newtonian fluid mechanics, vol. 247, pp. 90-106, 2017.
    [Bibtex]
    @article{17SKG25,
    title={A three-field local projection stabilized formulation for computations of Oldroyd-B viscoelastic fluid flows},
    author={Venkatesan, Jagannath and Ganesan, Sashikumaar},
    journal={Journal of Non-Newtonian Fluid Mechanics},
    volume={247},
    pages={90--106},
    year={2017},
    publisher={Elsevier}
    }
  • [DOI] S. K. Venkatesh, J. Haritsa, S. Kenkre, V. Pandit, and L. Krishnan, “Platform-independent robust query processsing,” IEEE transactions on knowledge and data engineering, pp. 1-1, 2017.
    [Bibtex]
    @article{17JRH37,
    doi = {10.1109/tkde.2017.2664827},
    url = {https://doi.org/10.1109/tkde.2017.2664827},
    year = {2017},
    publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
    pages = {1--1},
    author = {Srinivas Karthik Venkatesh and Jayant Haritsa and Sreyash Kenkre and Vinayaka Pandit and Lohit Krishnan},
    title = {Platform-independent Robust Query Processsing},
    journal = {{IEEE} Transactions on Knowledge and Data Engineering}
    }
  • B. Wagh, R. Chaluvarayaswamy, and D. Pal, “Assessment of adaptive breast cancer ſcreening policies for ımproved mortality reduction in low to middle ıncome countries,” Asian pacific journal of cancer prevention, vol. 18, iss. 9, 2017.
    [Bibtex]
    @article{17DP15,
    title = {Assessment of Adaptive Breast Cancer Screening Policies for Improved Mortality Reduction in Low to Middle Income Countries},
    volume = {18},
    url = {http://doi.org/10.22034/APJCP.2017.18.9.2375},
    DOI = {10.22034/APJCP.2017.18.9.2375},
    number = {9},
    journal = {Asian Pacific Journal of Cancer Prevention},
    publisher = {Asian Pacific Organization for Cancer Prevention},
    author = {Baban Wagh and Ramesh Chaluvarayaswamy and Debnath Pal},
    year = {2017},
    month = {Sep}
    }
  • U. Wilbrandt, C. Bartsch, N. Ahmed, N. Alia, F. Anker, L. Blank, A. Caiazzo, S. Ganesan, S. Giere, G. Matthies, and others, “Parmoon—a modernized program package based on mapped finite elements,” Computers & mathematics with applications, vol. 74, iss. 1, pp. 74-88, 2017.
    [Bibtex]
    @article{17SKG26,
    title={ParMooN—A modernized program package based on mapped finite elements},
    author={Wilbrandt, Ulrich and Bartsch, Clemens and Ahmed, Naveed and Alia, Najib and Anker, Felix and Blank, Laura and Caiazzo, Alfonso and Ganesan, Sashikumaar and Giere, Swetlana and Matthies, Gunar and others},
    journal={Computers \& Mathematics with Applications},
    volume={74},
    number={1},
    pages={74--88},
    year={2017},
    publisher={Elsevier}
    }
  • [DOI] P. K. Yalavarthy, “Special ıssue on applied computational ſcience and engineering,” Journal of the ındian ınstitute of ſcience, vol. 97, iss. 3, pp. 311-311, 2017.
    [Bibtex]
    @article{17PY34,
    doi = {10.1007/s41745-017-0039-z},
    url = {https://doi.org/10.1007/s41745-017-0039-z},
    year = {2017},
    month = {sep},
    publisher = {Springer Nature},
    volume = {97},
    number = {3},
    pages = {311--311},
    author = {Phaneendra K. Yalavarthy},
    title = {Special Issue on Applied Computational Science and Engineering},
    journal = {Journal of the Indian Institute of Science}
    }
  • I. Yuvaraj, J. Sridhar, D. Michael, and K. Sekar, “Panget: pan-genomics tool,” Gene, vol. 600, pp. 77-84, 2017.
    [Bibtex]
    @article{17KS09,
    title={PanGeT: Pan-genomics tool},
    author={Yuvaraj, Iyyappan and Sridhar, Jayavel and Michael, Daliah and Sekar, Kanagaraj},
    journal={Gene},
    volume={600},
    pages={77--84},
    year={2017},
    publisher={Elsevier}
    }
  • Q. Zhou, Y. Simmhan, and V. Prasanna, “Knowledge-infused and consistent complex event processing over real-time and persistent streams,” Future generation computer ſystems, vol. 76, pp. 391-406, 2017.
    [Bibtex]
    @article{zhou2017knowledge,
    title={Knowledge-infused and consistent complex event processing over real-time and persistent streams},
    author={Zhou, Qunzhi and Simmhan, Yogesh and Prasanna, Viktor},
    journal={Future Generation Computer Systems},
    volume={76},
    pages={391--406},
    year={2017},
    publisher={Elsevier}
    }

Conference Proceedings

  • B. Amrutur, V. Rajaraman, S. Acharya, R. Ramesh, A. Joglekar, A. Sharma, Y. Simmhan, A. Lele, A. Mahesh, and S. Sankaran, “An open smart city ıot test bed: street light poles as smart city spines,” in Proceedings of the ſecond ınternational conference on ınternet-of-things design and ımplementation, 2017, pp. 323-324.
    [Bibtex]
    @inproceedings{amrutur2017open,
    title = {An open smart city IoT test bed: street light poles as smart city spines},
    author = {Amrutur, Bharadwaj and Rajaraman, Vasanth and Acharya, Srikrishna and Ramesh, Rakshit and Joglekar, Ashish and Sharma, Abhay and Simmhan, Yogesh and Lele, Abhijit and Mahesh, Ashwin and Sankaran, Sathya},
    booktitle = {Proceedings of the Second International Conference on Internet-of-Things Design and Implementation},
    pages = {323--324},
    year = {2017},
    organization = {ACM}
    }
  • R. Dindokar and Y. Simmhan, “Characterization of vertex-centric breadth first ſearch for lattice graphs,” in Ieee ınternational workshop on foundations in big data computing (bigdf), co-located with hipc, 2017.
    [Bibtex]
    @inproceedings{dindokar:hipcw:2017,
    author = {Ravikant Dindokar and Yogesh Simmhan},
    title = {Characterization of Vertex-centric Breadth First Search for Lattice Graphs},
    booktitle = {IEEE International Workshop on Foundations in Big Data Computing (BigDF), Co-located with HiPC},
    year = {2017},
    keywords = {iisc, peer reviewed, graph processing},
    owner = {simmhan},
    timestamp = {2018.03.12}
    }
  • N. Divakar and V. R. Babu, “Image denoising via cnns: an adversarial approach,” in New trends in ımage restoration and enhancement, cvpr workshop, 2017.
    [Bibtex]
    @inproceedings{divakar2017image,
    title={Image denoising via CNNs: An adversarial approach},
    author={Divakar, Nithish and Babu, R Venkatesh},
    booktitle={New Trends in Image Restoration and Enhancement, CVPR workshop},
    year={2017}
    }
  • X. Fu, K. Huang, O. Stretcu, H. A. Song, E. Papalexakis, P. Talukdar, T. Mitchell, N. Sidiropoulo, C. Faloutsos, and B. Poczos, “Braınzoom: high resolution reconstruction from multi-modal brain signals,” in Proceedings of the 2017 ſıam ınternational conference on data mining, 2017, pp. 216-227.
    [Bibtex]
    @inproceedings{fu2017brainzoom,
    title={BRAINZOOM: High resolution reconstruction from multi-modal brain signals},
    author={Fu, Xiao and Huang, Kejun and Stretcu, Otilia and Song, Hyun Ah and Papalexakis, Evangelos and Talukdar, Partha and Mitchell, Tom and Sidiropoulo, Nicholas and Faloutsos, Christos and Poczos, Barnabas},
    booktitle={Proceedings of the 2017 SIAM International Conference on Data Mining},
    pages={216--227},
    year={2017},
    organization={SIAM}
    }
  • S. Gurumurthy, R. K. Sarvadevabhatla, and B. V. Radhakrishnan, “Deligan: generative adversarial networks for diverse and limited data,” in The ıeee conference on computer vision and pattern recognition (cvpr), 2017.
    [Bibtex]
    @inproceedings{gurumurthy2017deligan,
    title={Deligan: Generative adversarial networks for diverse and limited data},
    author={Gurumurthy, Swaminathan and Sarvadevabhatla, Ravi Kiran and Radhakrishnan, V Babu},
    booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    volume={1},
    year={2017}
    }
  • [DOI] J. Kalyanasundaram and Y. Simmhan, “Arm wrestling with big data: a ſtudy of commodity arm64 ſerver for big data workloads,” in Ieee ınternational conference on high performance computing, data, and analytics (hipc), 2017.
    [Bibtex]
    @inproceedings{kalyanasundaram:hipc:2017,
    author = {Jayanth Kalyanasundaram and Yogesh Simmhan},
    title = {ARM Wrestling with Big Data: A Study of Commodity ARM64 Server for Big Data Workloads},
    booktitle = {IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC)},
    year = {2017},
    note = {Best paper finalist},
    doi = {10.1109/HiPC.2017.00032},
    keywords = {iisc, peer reviewed, big data, low power},
    owner = {simmhan},
    timestamp = {2018.03.12},
    url = {https://arxiv.org/abs/1701.05996}
    }
  • A. Khochare, P. Ravindra, S. P. Reddy, and Y. Simmhan, “Distributed video analytics across edge and cloud using echo,” in International conference on ſervice-oriented computing (ıcſoc) demo, 2017.
    [Bibtex]
    @inproceedings{khochare:iscocw:2017,
    author = {Aakash Khochare and Pushkara Ravindra and Siva Prakash Reddy and Yogesh Simmhan},
    title = {Distributed Video Analytics across Edge and Cloud using ECHO},
    booktitle = {International Conference on Service-Oriented Computing (ICSOC) Demo},
    year = {2017},
    keywords = {iisc, peer reviewed, iot, edge computing},
    owner = {simmhan},
    timestamp = {2018.03.12}
    }
  • V. Kondameedi and S. Vadhiyar, “Adaptive hybrid queue configuration for ſupercomputer ſystems,” in Proceedings of the 17th ıeee/acm ınternational ſymposium on cluster, cloud and grid computing, 2017, pp. 90-99.
    [Bibtex]
    @inproceedings{kondameedi2017adaptive,
    title={Adaptive Hybrid Queue Configuration for Supercomputer Systems},
    author={Kondameedi, Vineetha and Vadhiyar, Sathish},
    booktitle={Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing},
    pages={90--99},
    year={2017},
    organization={IEEE Press}
    }
  • K. Krishnan, K. V. Reddy, B. Ajani, and P. K. Yalavarthy, “Rapid perfusion quantification using welch-ſatterthwaite approximation and analytical spectral filtering,” in Medical ımaging 2017: ımage processing, 2017, p. 101330Q.
    [Bibtex]
    @inproceedings{krishnan2017rapid,
    title={Rapid perfusion quantification using Welch-Satterthwaite approximation and analytical spectral filtering},
    author={Krishnan, Karthik and Reddy, Kasireddy V and Ajani, Bhavya and Yalavarthy, Phaneendra K},
    booktitle={Medical Imaging 2017: Image Processing},
    volume={10133},
    pages={101330Q},
    year={2017},
    organization={International Society for Optics and Photonics}
    }
  • K. Madhu, T. Singla, S. Nandy, R. Narayan, F. Neumann, and P. Baufreton, “Redefıne\textregistered™: a case for wcet-friendly hardware accelerators for real time applications,” in Proceedings of the 2017 ınternational conference on compilers, architectures and ſynthesis for embedded ſystems companion, 2017, p. 15.
    [Bibtex]
    @inproceedings{madhu2017redefine,
    title={REDEFINE{\textregistered}™: a case for WCET-friendly hardware accelerators for real time applications},
    author={Madhu, Kavitha and Singla, Tarun and Nandy, SK and Narayan, Ranjani and Neumann, Francois and Baufreton, Philippe},
    booktitle={Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion},
    pages={15},
    year={2017},
    organization={ACM}
    }
  • A. Majumder and V. R. Babu, “Deep neural network for foreground object ſegmentation: an unsupervised approach,” in Proceedings of the national conference on computer vision, pattern recognition, ımage processing and graphics, 2017.
    [Bibtex]
    @inproceedings{avishek2017ncvpripg1,
    title={Deep Neural Network for Foreground Object Segmentation: An Unsupervised Approach},
    author={Majumder, Avishek and Babu, R Venkatesh},
    booktitle={Proceedings of the National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics},
    year={2017}
    }
  • A. Majumder and V. R. Babu, “Anomaly from motion: unsupervised extraction of visual ırregularity via motion prediction,” in Proceedings of the national conference on computer vision, pattern recognition, ımage processing and graphics, 2017.
    [Bibtex]
    @inproceedings{avishek2017ncvpripg2,
    title={Anomaly From Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction},
    author={Majumder, Avishek and Babu, R Venkatesh},
    booktitle={Proceedings of the National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics},
    year={2017}
    }
  • K. R. Mopuri, U. Garg, and V. R. Babu, “Fast feature fool: a data independent approach to universal adversarial perturbations,” in Proceedings of the british machine vision conference, 2017.
    [Bibtex]
    @inproceedings{mopuri2017fast,
    title={Fast Feature Fool: A data independent approach to universal adversarial perturbations},
    author={Mopuri, Konda Reddy and Garg, Utsav and Babu, R Venkatesh},
    booktitle={Proceedings of the British Machine Vision Conference},
    year={2017}
    }
  • P. Ojha and P. Talukdar, “Kgeval: accuracy estimation of automatically constructed knowledge graphs,” in Proceedings of the 2017 conference on empirical methods in natural language processing, 2017, pp. 1741-1750.
    [Bibtex]
    @inproceedings{ojha2017kgeval,
    title={KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs},
    author={Ojha, Prakhar and Talukdar, Partha},
    booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
    pages={1741--1750},
    year={2017}
    }
  • S. V. Pericherla and S. Vadhiyar, “High performance and enhanced ſcalability for parallel applications using mpı-3’s non-blocking collectives,” in Proceedings of the ınternational conference on computational ſcience, 2017.
    [Bibtex]
    @inproceedings{pericherla2017high,
    title={High Performance and Enhanced Scalability for Parallel Applications using MPI-3’s non-blocking Collectives},
    author={Pericherla, Surendra Varma and Vadhiyar, Sathish},
    booktitle={Proceedings of the International Conference on Computational Science},
    year={2017}
    }
  • R. Pienta, M. Kahng, Z. Lin, J. Vreeken, P. Talukdar, J. Abello, G. Parameswaran, and D. H. Chau, “Facets: adaptive local exploration of large graphs,” in Proceedings of the 2017 ſıam ınternational conference on data mining, 2017, pp. 597-605.
    [Bibtex]
    @inproceedings{pienta2017facets,
    title={Facets: Adaptive local exploration of large graphs},
    author={Pienta, Robert and Kahng, Minsuk and Lin, Zhiyuan and Vreeken, Jilles and Talukdar, Partha and Abello, James and Parameswaran, Ganesh and Chau, Duen Horng},
    booktitle={Proceedings of the 2017 SIAM International Conference on Data Mining},
    pages={597--605},
    year={2017},
    organization={SIAM}
    }
  • R. K. Prabhakar, S. V. Srikar, and V. R. Babu, “Deepfuse: a deep unsupervised approach for exposure fusion with extreme exposure ımage pairs,” in Proceedings of the ınternational conference on computer vision, 2017.
    [Bibtex]
    @inproceedings{prabhakar2017deepfuse,
    title={DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs},
    author={Prabhakar, K Ram and Srikar, V Sai and Babu, R Venkatesh},
    booktitle={Proceedings of the International Conference on Computer Vision},
    year={2017}
    }
  • S. Ramesh, S. Vadhiyar, R. Nanjundiah, and P. Vinayachandran, “Deep and ſhallow convections in atmosphere models on ıntel xeon phi coprocessor ſystems,” in Proceedings of the ıeee high performance computing commmunications, 2017, pp. 1-8.
    [Bibtex]
    @inproceedings{ramesh2017deep,
    title={Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems},
    author={Ramesh, Srinivasan and Vadhiyar, Sathish and Nanjundiah, Ravi and Vinayachandran, PN},
    booktitle={Proceedings of the IEEE High Performance Computing Commmunications},
    pages={1--8},
    year={2017}
    }
  • [DOI] P. Ravindra, A. Khochare, S. P. Reddy, S. Sharma, P. Varshney, and Y. Simmhan, “Echo: an adaptive orchestration platform for hybrid dataflows across cloud and edge,” in International conference on ſervice-oriented computing (ıcſoc), 2017.
    [Bibtex]
    @inproceedings{ravindra:iscoc:2017,
    author = {Pushkara Ravindra and Aakash Khochare and Siva Prakash Reddy and Sarthak Sharma and Prateeksha Varshney and Yogesh Simmhan},
    title = {ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge},
    booktitle = {International Conference on Service-Oriented Computing (ICSOC)},
    year = {2017},
    note = {[CORE A]},
    doi = {10.1007/978-3-319-69035-3_28},
    keywords = {iisc, peer reviewed, iot, edge computing},
    owner = {simmhan},
    timestamp = {2018.03.12},
    url = {https://arxiv.org/abs/1707.00889}
    }
  • D. B. Sam, S. Surya, and V. R. Babu, “Switching convolutional neural network for crowd counting,” in Proceedings of the ıeee conference on computer vision and pattern recognition, 2017, p. 6.
    [Bibtex]
    @inproceedings{sam2017switching,
    title={Switching convolutional neural network for crowd counting},
    author={Sam, Deepak Babu and Surya, Shiv and Babu, R Venkatesh},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    volume={1},
    number={3},
    pages={6},
    year={2017}
    }
  • R. K. Sarvadevabhatla, I. Dwivedi, A. Biswas, S. Manocha, and others, “Sketchparse: towards rich descriptions for poorly drawn ſketches using multi-task hierarchical deep networks,” in Proceedings of the 2017 acm on multimedia conference, 2017, pp. 10-18.
    [Bibtex]
    @inproceedings{sarvadevabhatla2017sketchparse,
    title={SketchParse: Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks},
    author={Sarvadevabhatla, Ravi Kiran and Dwivedi, Isht and Biswas, Abhijat and Manocha, Sahil and others},
    booktitle={Proceedings of the 2017 ACM on Multimedia Conference},
    pages={10--18},
    year={2017},
    organization={ACM}
    }
  • A. Sharma, Z. Parekh, and P. Talukdar, “Speeding up reinforcement learning-based ınformation extraction training using asynchronous methods,” in Proceedings of the 2017 conference on empirical methods in natural language processing, 2017, pp. 2658-2663.
    [Bibtex]
    @inproceedings{sharma2017speeding,
    title={Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods},
    author={Sharma, Aditya and Parekh, Zarana and Talukdar, Partha},
    booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
    pages={2658--2663},
    year={2017}
    }
  • S. T. Shilpa Chaturvedi and Y. Simmhan, “Collaborative reuse of ſtreaming dataflows in ıot applications,” in Ieee ınternational conference on eſcience, 2017.
    [Bibtex]
    @inproceedings{chaturvedi:escience:2017,
    author = {Shilpa Chaturvedi, Sahil Tyagi and Yogesh Simmhan},
    title = {Collaborative Reuse of Streaming Dataflows in IoT Applications},
    booktitle = {IEEE International Conference on eScience},
    year = {2017},
    note = {[CORE A]},
    keywords = {iisc, peer reviewed, iot, stream processing},
    owner = {simmhan},
    timestamp = {2018.03.12},
    url = {https://arxiv.org/abs/1709.03332}
    }
  • S. Srinivas, A. Subramanya, and V. R. Babu, “Training sparse neural networks,” in Computer vision and pattern recognition workshops (cvprw), 2017 ıeee conference on, 2017, pp. 455-462.
    [Bibtex]
    @inproceedings{srinivas2017training,
    title={Training sparse neural networks},
    author={Srinivas, Suraj and Subramanya, Akshayvarun and Babu, R Venkatesh},
    booktitle={Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference on},
    pages={455--462},
    year={2017},
    organization={IEEE}
    }
  • [DOI] P. Varshney and Y. Simmhan, “Demystifying fog computing: characterizing architectures, applications and abstractions,” in Ieee ınternational conference on fog and edge computing (ıcfec), 2017.
    [Bibtex]
    @inproceedings{varshney:icfec:2017,
    author = {Prateeksha Varshney and Yogesh Simmhan},
    title = {Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions},
    booktitle = {IEEE International Conference on Fog and Edge Computing (ICFEC)},
    year = {2017},
    doi = {10.1109/ICFEC.2017.20},
    keywords = {peer reviewed, iISc, cloud, IoT, fog, edge},
    owner = {simmhan},
    timestamp = {2018.03.12},
    url = {https://arxiv.org/abs/1702.06331}
    }
2016
Journals

  1. J. Venkatesan, S. Rajasekaran, A. Das, S. Ganesan, “Effects of temperature-dependent contact angle on the flow dynamics of an impinging droplet on a hot solid substrate,” Int. J. Heat and Fluid Flow 62, 282-298, 2016.
  2. S.Mohapatra, S. Ganesan, “A Non-Conforming Least Squares Spectral Element Formulation for Oseen Equations with Applications to Navier-Stokes Equations,” Numerical Functional Analysis and Optimization 37, 1295 – 1311, 2016.
  3. R. Santhosh, S.N. Satheesh, M. Gurusaran, Daliah Michael, K. Sekar and J. Jeyakanthan, “NIMS: A database on Nucleobase compounds and their Interactions in Macromolecular Structures,” J. Appl. Cryst 49 2016.
  4. Rayapadi Swetha, Sudha Ramaiah, Anand Anbarasu and K. Sekar, “Ebolavirus Database (EDB): Gene and protein information resource for ebola viruses,” Adv. Bioinformatics 2016 2016.
  5. M. Gurusaran, P. Sivaranjan, K.S. Dinesh Kumar, P. Radha, K.P.S. Thulaa Tharshan, S.N. Satheesh, K. Jayanthan, R. Ilaiyaraja, J. Mohanapriya, D. Michael and K. Sekar Hydrogen Bonds Computing Server (HBCS): An online web server to compute hydrogen bond interactions and their precision J. Appl. Cryst 49 642-645 2016
  6. Sivaram Ambikasaran and Krithika Narayanaswamy An accurate, fast, mathematically robust, universal, non-iterative algorithm for computing multi-component diffusion velocities Proceedings of the Combustion Institute 36 2016 10.1016/j.proci.2016.05.055
  7. Arun I. and Murugesan Venkatapathi Analysis of numerical solutions to Sommerfeld integral relation of the half-space radiator problem Applied Numerical Mathematics 106 79–97 2016
  8. Manish Bhatt, Atithi Acharya, and Phaneendra K. Yalavarthy Computationally efficient error estimate for evaluation of regularization in photoacoustic tomography, Journal of Biomedical Optics 21 10 106002 2016 10.1117/1.JBO.21.10.106002
  9. Manish Bhatt, Sreedevi Gutta, and Phaneendra K. Yalavarthy Exponential Filtering of Singular Values Improves Photoacoustic Image Reconstruction Journal of the Optical Society of America A: Optics, Imaging Science, and Vision 33 9 1785-1792 2016
  10. Manish Bhatt, Kalyan R. Ayyalasomayajula, and Phaneendra K. Yalavarthy A Generalized Beer-Lambert Model for Near Infrared Light Propagation in Thick Biological Tissues Journal of Biomedical Optics 21 7 76012 2016 10.1117/1.JBO.21.7.076012
  11. Calvin B. Shaw, Zhiqiu Li, Brian W. Pogue, and Phaneendra K. Yalavarthy Direct sensitivity based data-optimization strategy for image-guided diffuse optical tomography IEEE Journal of Selected Topics in Quantum Electronics 22 3 6803709 2016 10.1109/JSTQE.2016.2558178
  12. A. Dutt and J. Haritsa Plan Bouquets: A Fragrant Approach to Robust Query Processing ACM Trans. on Database Systems (TODS) 41 2 2016 10.1145/2901738
  13. Evangelos Papalexakis, Tom Mitchell, Nicholas Sidiropoulos, Christos Faloutsos, Partha Talukdar, Brian Murphy Turbo-SMT: Parallel Coupled sparse Matrix-Tensor Factorizations and applications Statistical Analysis and Data Mining: The ASA Data Science Journal 9 4 Pages 269–290 2016 10.1002/sam.11315/full
  14. Prakash Murali, Sathish Vadhiyar Qespera: an Adaptive Framework for Prediction of Queue Waiting Times in Supercomputer Systems Concurrency and Computation: Practice and Experience 28 9 2685-2710 2016
  15. Tarun Uppal, Soumyendu Raha, Suresh Srivastava Inverse Simulation for Gas Turbine Engine Control through Differential Algebraic Inequality Formulation International Journal of Turbo & Jet-Engines 2016 10.1515/tjj-2016-0057
  16. Satadal Ghosh, Debasish Ghose, and Soumyendu Raha Unified Time-to-Go Algorithms for Proportional Navigation Class of Guidance Journal of Guidance, Control, and Dynamics 39 6 1188-1205 2016 10.2514/1.G001472
  17. Appala Naidu Kotana and Atanu K. Mohanty Determination of multipole coefficients in toroidal ion trap mass analysers International Journal of Mass Spectrometry 408 62-76 2016 10.1016/j.ijms.2016.06.011
  18. Hrishikesh S. Sonalikar, Ajay A. Ovhal, and Atanu K. Mohanty Numerical analysis of segmented-electrode Orbitraps International Journal of Mass Spectrometry 395 36-48 2016 10.1016/j.ijms.2015.12.001
  19. Sunil Kumar Boda, Subhendu Pandit, Aditya Garai, Debnath Pal and Bikramjit Basu. Bacterial Siderophore Mimicking Iron Complexes as DNA Targeting Antimicrobials RSC Advances 6 39245-39260 2016 10.1039/C6RA02603F
  20. Ravikumar Reddi, Kiran Singarapu, Debnath Pal and Anthony Addlagatta Unique Functional Role of C-H…S Hydrogen Bond in Substrate Specificity and Enzyme Catalysis of Type 1 Methionine Aminopeptidase Molecular Biosystems 12 2408-2416 2016 10.1039/C6MB00259E
  21. Rajdeep Das, Gopa Mitra, Boby Mathew, Vijay Bhat, Cecil Ross, Debnath Pal and Amit Mandal Mass Spectrometry-Based Diagnosis of Hemoglobinopathies: A Potential Tool for the Screening of Genetic Disorder 54 6 1-10 2016 10.1007/s10528-016-9758-5
  22. Tridip Sheet, Suvankar Ghosh, Debnath Pal and Raja Banerjee Computational design of model scaffold for anion recognition based on the ‘CαNN’ motif. Peptide Science 2016 10.1002/bip.22921
  23. Qunzhi Zhou, Yogesh Simmhan, Viktor Prasanna Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams Future Generation Computer Systems 16 2016 10.1016/j.future.2016.10.030
  24. Gopinath Mahale, Hamsika Mahale, S.K.Nandy, and Ranjani Narayan REFRESH: REDEFINE for Face Recognition using SURE Homogeneous Cores IEEE Transactions on Parallel and Distributed Systems 27 12 3602-3616 2016 10.1109/TPDS.2016.2539164
  25. Arnab Biswas, and S. K. Nandy Role based shared memory access control mechanisms in NoC based MP-SoC Nano Communication Networks, Elsevier 7 46-64 2016 10.1016/j.nancom.2015.11.002
  26. G. Krishna Vinay, Sk. M. Haque, R. Venkatesh Babu and K.R.Ramakrishnan Sparse Representation based Human Detection: A Scale Embedded Dictionary Approach Signal, Image and Video Processing 10 3 585-592 2016 10.1007/s11760-015-0781-5
  27. Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas Kruthiventi, Venkatesh Babu Radhakrishnan A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Frontiers in Robotics and AI 2016 10.3389/frobt.2015.00036
  28. R. Venkatesh Babu, Manu Tom and Paras Wadekar A Survey on Compressed Domain Video Analysis Techniques Multimedia Tools and Applications 75(2), 1043-1078, 2016.

Conference

  1. S. Ganesan, V. John, G. Matthies, R. Meesala, S. Abdus, U. Wilbrandt An object oriented parallel finite element scheme for computations of PDEs: Design and implementation. IEEE 23rd International Conference on High Performance Computing Workshops (HiPCW) Hyderabad 106-115 2016 DOI 10.1109/HiPCW.2016.19
  2. K. V. Reddy, A. Mitra, and and P. K. Yalavarthy Fast Analytical Spectral Filtering Methods for Magnetic Resonance Perfusion Quantification 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Florida, USA WeCT5.17 2016
  3. J. Prakash, N. Todd, and P. K. Yalavarthy Prior Image based Temporally Constrained Reconstruction for Magnetic Resonance guided HIFU ISMRM 24th Annual Meeting Singapore 3610 2016
  4. P. K. Yalavarthy, K. V. Reddy, and J. Lee Magnetic Resonance Perfusion Quantification using QR-based Deconvolution ISMRM 24th Annual Meeting Singapore 2864 2016
  5. Y. N. Swamy and P. K. Yalavarthy Minimum Residual Method based Optimal Selection of Regularization Parameter in Image Restoration IEEE International Conference on Signal and Information Processing (IConSIP 2016) Nanded, Maharashtra, India 119 2016
  6. S. Karthik, J. Haritsa, S. Kenkre and V. Pandit Platform-independent Robust Query Processing 32nd Intl. Conf. on Data Engineering (ICDE) Helsinki, Finland 2016
  7. Madhav Nimishakavi, Uday Singh Saini, Partha Talukdar Relation Schema Induction using Tensor Factorization with Side Information International Conference on Empirical Methods in NLP (EMNLP 2016) Austin, USA 2016
  8. Prakhar Ojha, Partha Talukdar Quality Estimation of Workers in Collaborative Crowdsourcingusing Group Testing AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016) Austin, USA 2016
  9. Danish, Yogesh Dahiya and Partha Talukdar Discovering Response-Eliciting Factors in Social Question-Answering: A Reddit Inspired Study 10th International AAAI Conference on Web and Social Media (ICWSM-16) Cologne, Germany 2016
  10. Mehdi Samadi, Partha Talukdar, Manuela Veloso, Manuel Blum ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources 30th AAAI Conference Conference on Artificial Intelligence (AAAI-16) Phoenix, USA 2016
  11. Xiao Fu, Kejun Huang, Evangelos Papalexakis, Hyun-Ah Song, Partha Talukdar, Nicholas Sidiropoulos, Christos Faloutsos, Tom Mitchell Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis International Conference on Data Mining (ICDM 2016) Barcelona, Spain 2016
  12. Aketh TM, Sathish Vadhiyar, PN Vinayachandran, Ravi Nanjundiah High Performance Horizontal Diffusion Calculations in Ocean Models on Intel Xeon Phi Coprocessor Systems 23rd IEEE International Conference on High Performance Computing, Data and Analytics (HiPC) Hyderabad, India 2016
  13. Anshu Shukla and Yogesh Simmhan Benchmarking Distributed Stream Processing Platforms for IoT Applications TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC) New Delhi, India 16 2016
  14. Nitin Jamadagni and Yogesh Simmhan GoDB: From Batch Processing to Distributed Querying over Property Graphs IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid) Cartagena, Columbia 10 2016 10.1109/CCGrid.2016.105
  15. Ravikant Dindokar and Yogesh Simmhan Elastic Partition Placement for Non-stationary Graph Algorithms IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid) Cartagena, Columbia 4 2016 10.1109/CCGrid.2016.97
  16. Ravikant Dindokar, Neel Choudhury and Yogesh Simmhan A Meta-graph Approach to Analyze Subgraph-centric Distributed Programming Models IEEE International Conference on Big Data (Big Data) Washington DC, USA 11 2016
  17. Santhi Natarajan, Krishna Kumar N, Debnath Pal and S. K. Nandy AccuRA: Accurate Alignment of Short Reads on Scalable Reconfigurable Accelerators SAMOS XVI 2016, July 18-21, 2016 SAMOS, Greece
  18. Kavitha Madhu, Anuj Rao, Saptarsi Das, Madhava Krishna, S. K. Nandy, Ranjani Narayan, Anup Kini, Makesh Tarun, Preetam Shivaram, Nalesh S Flexible Resource Allocation and Management for Application Graphs on ReNÉ MPSoC 7th PARMA-DITAM workshop, co-located with HiPEAC 2016 Prague
  19. Saptarsi Das, Nalesh S, Kavitha Madhu, S. K. Nandy, Ranjani Narayan RHyMe: REDEFINE HyperCell Multicore for Accelerating HPC Kernels 29th International Conference on VLSI Design, 2016 Kolkata, India
  20. Ashish Pradhan and  S.K.Nandy An Energy Efficient Dynamically Reconfigurable QR Decomposition for Wireless MIMO Communication 29th International Conference on VLSI Design, 2016 Kolkata, India
  21. Farhad Merchant, Nimash Choudhary, S K Nandy, Ranjani Narayan Efficient Realization of Table Look-up based Double Precision Floating Point Arithmetic 29th International Conference on VLSI Design, 2016 Kolkata, India
  22. Gopinath Mahale, Eshan Bhatia, S.K. Nandy, Ranjani Narayan VOP: Architecture of a Processor for Vector Operations in On-line Learning of Neural Networks 29th International Conference on VLSI Design, 2016 Kolkata, India
  23. Farhad Merchant, Tarun Vatwani, Anupam Chattopadhyay, Soumyendu Raha, S K Nandy, Ranjani Narayan, Achieving Efficient QR Factorization by Algorithm-Architecture Co-Design of Householder Transformation 29th International Conference on VLSI Design, 2016 Kolkata, India
  24. Mahnaz Mohammadi, Rohit Ronge, S. K. Nandy Performance Evaluation of Feed-Forward Backpropagation Neural Network for Classification on A Reconfigurable Hardware Architecture 12th International Symposium on Applied Reconfigurable Computing, Rio de Janeiro, Brazil, March 2016
  25. K Ram Prabhakar and R. Venkatesh Babu Ghosting-Free Multi-Exposure Image Fusion in Gradient Domain 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Shanghai, China 2016 10.1109/ICASSP.2016.7471980
  26. Chintak Sheth and R. Venkatesh Babu, Object Saliency using a Background Prior 41st IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP) Shanghai, China 2016 10.1109/ICASSP.2016.7472013
  27. Srinivas S S Kruthiventi, Vennela Gudisa, Jaley Dholakiya and R. Venkatesh Babu Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Las Vegas, NV, USA 2016 10.1109/CVPR.2016.623
  28. Sunil Kumar Vengalil, Neelam Sinha, Srinivas S S Kruthiventi and R. Venkatesh Babu Customizing CNNs for Blood Vessel Segmentation From Fundus Images International Conference on Signal Processing and Communications Bangalore 2016 10.1109/SPCOM.2016.7746702
  29. Kumaresh Krishnan, Nikita Prabhu and R. Venkatesh Babu ARRNET: Action Recognition through Recurrent Neural Networks International Conference on Signal Processing and Communications Bangalore 2016 10.1109/SPCOM.2016.7746614
  30. Nithish Divakar and R. Venkatesh Babu Denoising in a Jiffy: A Fast and GPU Friendly Algorithm for Image Denoising International Conference on Signal Processing and Communications Bangalore 2016
  31. Lokesh Boominathan, Srinivas S S Kruthiventi and R. Venkatesh Babu CrowdNet: Convolutional Neural Networks for Crowd Counting 2016 ACM Multimedia Conference Amsterdam, The Netherlands 2016 10.1145/2964284.2967300
  32. Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S S Kruthiventi and R. Venkatesh Babu SwiDeN: Convolutional Neural Networks for Depiction Invariant Object Recognition 2016 ACM Multimedia Conference Amsterdam, The Netherlands 2016 10.1145/2964284.2967208
  33. Ravi Kiran Sarvadevabhatla and R. Venkatesh Babu Analyzing structural characteristics of object category representations from their semantic-part distributions 2016 ACM Multimedia Conference Amsterdam, The Netherlands 2016 10.1145/2964284.2967190
  34. Ravi Kiran Sarvadevabhatla, Jogendra Nath Kundu and R. Venkatesh Babu Enabling my robot to play Pictionary: Recurrent Neural Networks for sketch recognition 2016 ACM Multimedia Conference Amsterdam, The Netherlands 2016 10.1145/2964284.2967220
  35. Suraj Srinivas and R. Venkatesh Babu Learning Neural Net Architectures using Backpropagation 27th British Machine Vision Conference (BMVC) York, UK 2016 10.5244/C.29.23
  36. Ravi Kiran Sarvadevabhatla, Shanthakumar V. and R. Venkatesh Babu Part’ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems 13th Asian Conference on Computer Vision (ACCV) Taipei, Taiwan 2016
  37. Lokesh Boominathan, Suraj Srinivas,Venkatesh Babu R Compensating for Large In-Plane Rotations in Natural Images 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) Guwahati, India 2016 10.1145/3009977.3009988
  38. Shiv Surya, R. Venkatesh Babu TraCount: A Deep Convolutional Neural Network for Highly Overlapping Vehicle Counting 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) Guwahati, India 2016 10.1145/3009977.3010060
  39. Ravi Kiran Sarvadevabhatla, Raviteja Meesala, Manjunath Hegde, R. Venkatesh Babu Analyzing object categories via novel category-ranking measures defined on visual feature emebddings 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) Guwahati, India 2016 10.1145/3009977.3010037
  40. Konda Reddy Mopuri, R. Venkatesh Babu Towards Semantic Visual Representation: Augmenting Image Representation with Natural Language Descriptors 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) Guwahati, India 2016 10.1145/3009977.3010010
  41. Souradeep Chakraborty, Jogendra Nath Kundu, R. Venkatesh Babu Deep image inpainting with region prediction at hierarchical scales 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) Guwahati, India 2016 10.1145/3009977.3009992
  42. K. Ram Prabhakar and R. Venkatesh Babu Ghosting Free HDR for Dynamic Scenes via Shift-maps 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) Guwahati, India 2016 10.1145/3009977.3010034

2015
Journals

  1. K. S. Dinesh Kumar, M. Gurusaran, S. N. Satheesh, P. Radha, S. Pavithra, K. P. S. Thulaa Tharshan, John R. Helliwell and K. Sekar “Online_DPI: A web server to Calculate the Diffraction Precision Index for a Protein Structure, J. APPL. CRYST.48, 939-942, 2015.
  2. K. Manjunath, J. Jeyakanthan and K. Sekar,Catalytic pathway, substrate binding and stability in SAICAR synthetase, A Structure and Molecular dynamics study JOURNAL OF STRUCTURAL BIOLOGY,191, Issue 1, 22-31, 2015
  3. D. Rai, M. Gurusaran, S. Qian, K. Weiss, V. Urban, P. Li, L. Ma, P. Ajayan, T. Narayanan, K. Sekar, S. Viswanathan and V. Renugopalakrishanan, Using Small Angle Neutron Scattering on Glucose Oxidase immobilized on Single Layer Graphene, APS MARCH MEETING ABSTRACTS,60,1109, 2015
  4. M. Gurusaran, D. Rai, S. Qian, K. Weiss, V. Urban, P. Li, L. Ma, T. N. Narayanan, P. M. Ajayan, K. Sekar, S. Viswanathan and V. Renugopalakrishanan,Small Angle Neutron Scattering Studies of Glucose Oxidase Immobilized on Single Layer Graphene: Relevant to Protein Microfluidic Chip, BIOPHYSICAL JOURNAL.108, Issue 2, 327a-328a, 2015
  5. Avik Banerjee, Subrata Dasgupta, Bishnu P Mukhopadhyay and K. Sekar, The putative role of some conserved water molecules in the structure and function of human transthyretin, ACTA CRYST,D71, 2248-2266, 2015
  6. Huang C, Vaishnavi K, Kaira RS, Zhang Z, Kaul SC, Wadhwa R and K.Sekar,3 β-Methoxy Derivation of withaferin-a Attenuates its Anticancer Potency: Bioinformatics and Molecular Evidence, MEDICINAL & AROMATIC PLANTS, 4, 219, 2015
  7. 8.Arnab Biswas, S. K. Nandy, and Ranjani Narayan, “Router Attack towards NoC enabled MPSoC and Monitoring Countermeasures Against Such Threat, Circuits, Systems, and Signal Processing (CSSP): Volume 34, Issue 10 Page 3241-3290, 2015.
  8. Kala. S, Nalesh. S, S. K. Nandy, and Ranjani Narayan, Scalable and Energy Efficient, Dynamically Reconfigurable FFT Architecture”, Journal of Low Power Electronics, Vol. 11, No. 3, September 2015.
  9. Avinash Ramakanth and R. Venkatesh Babu, Synthetic Image Super Resolution Using FeatureMatch, Multimedia Tools and Applications, Springer, pp. 6691-6707, vol. 74, no. 17, September 2015
  10. R. Venkatesh Babu, R. Badrinarayanan, S. Suresh and Manu Tom, “Human Action Recognition in H.264/AVC Compressed Domain using Meta-Cognitive Radial Basis Function Network”, Applied Soft Computing, Elsevier, pp. 218-227, vol. 36, November 2015.
  11. R. Venkatesh Babu, Priti P., and Aniruddha Acharya, “Robust Tracking with Interest Points:  A Sparse Representation Approach”, Image and Vision Computing, Vol. 33, No. 1,  pp. 44-56, 2015.
  12. Manu Tom, R. Venkatesh Babu and Gnana Praveen, “Compressed Domain Human Action Recognition in H.264/AVC Video Streams”, Multimedia Tools and Applications, Volume 74, Issue 21, pp. 9323-9338, November 2015,
  13. Sovan Biswas and R. Venkatesh Babu, “Anomaly Detection in Compressed H.264/AVC Video”, Multimedia Tools and Applications: Vol. 74, no. 24, pp. 11099-11115, December 2015
  14. Jaya Prakash, Nick Todd, and Phaneendra K. Yalavarthy, “Prior image based temporally constrained reconstruction algorithm for magnetic resonance guided high intensity focused ultrasound,” Medical Physics 42, 6804-6814, 2015.
  15. R Samanta, AI Erzin, S Raha, YV Shamardin, II Takhonov,A provably tight delay-driven concurrently congestion mitigating global routing algorithm,Venue Applied Mathematics and Computation, 255, 92-104, 2015
  16. 18.N Mishra, NC Parida, S Raha, Time scales of the stick–slip dynamics of the peeling of an adhesive tape, Proceedings of the Royal Society of London A : Mathematical, Physical and Engineering Sciences,471, 2174 ,20140399, 2015
  17. Aman, S.; Simmhan, Y. & Prasanna, V. Dr. Yogesh Simmhan, Holistic Measures for Evaluating Prediction Models in Smart Grids, IEEE Transactions on Knowledge and Data Engineering (TKDE) , 27 (2) 475-488, 2015
  18. Kumbhare, A.G.; Simmhan, Y.; Frincu, M. & Prasanna, V.K, Reactive Resource Provisioning Heuristics for Dynamic Dataflows on Cloud Infrastructure, IEEE Transactions on Cloud Computing (TCC)  3(2), 105-118, 2015
  19. Active Learning in Keyword Search-based Data Integration. Zhepeng Yan, Nan Zheng, Zachary Ives, Partha Pratim Talukdar, Cong Yu. The VLDB Journal Special Issue on Best Papers of VLDB 2013.

Conference

  1. Madhava Krishna , Nalesh S , Kavitha T Madhu , Saptarsi Das , Chandan Haldar, Ranjani Narayan, and S K Nandy, “ReN´E: Combating Dark Silicon in Polymorphic Massively Parallel Processing Cores”, ICCAD 2015 Conference for Workshop on Efficient Computing in the Dark Silicon Era, ICCAD 2015 Conference for Workshop on Efficient Computing in the Dark Silicon Era, Austin, Texas, USA, Nov 5, 2015.
  2. Nalesh S, Kavitha T Madhu, Saptarsi Das, S. K. Nandy and Ranjani Narayan, “Composition of Data-paths on a CGRA for Energy Aware Synthesis of Functionally Specified Application Kernels””,ICCAD 2015 Conference for Workshop on Efficient Computing in the Dark Silicon Era, Austin, Texas, USA, Nov 5, 2015.
  3. Alexander Fell, S K Nandy and Ranjani Narayan, ” A Deterministic, Minimal Routing Algorithm for a Toroidal, Rectangular Honeycomb Topology Using a 2-tupled Relative Address”, proceedings of the 28th IEEE International System on Chip Conference, Beijing, China, September 8-11, 2015.
  4. Mahnaz Mohammadi, Rohit Ronge, Jayesh Ramesh Chandiramani, and Soumitra Nandy, ” An Accelerator for Classification using Radial BasisFunction Neural Network”, proceedings of the 28th IEEE International System on Chip Conference, Beijing, China, September 8-11, 2015
  5. Kavitha T Madhu, Saptarsi Das, Nalesh S., S. K. Nandy and Ranjani Narayan, ” Compiling HPC kernels for the REDEFINE CGRA”, proceedings of the 17th International Conference on High Performance Computing and Communications (HPCC 2015), New York, August 24-26, 2015.
  6. Ramesh Chinthala, Amitava Datta, S. K. Nandy, ” Exploration of Cache Line Size for Sawtooth Compressed Row Storage based SpMV Multiplication”, proceedings of the 13th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2015), Sydney, January 27-30, 2015.
  7. Farhad Merchant, Arka Maity, Mahesh Mahadurkar, Kapil Vatwi, Ishan Munje, Madhava Krishna, Nalesh S, Nandhini Gopalan, Soumyendu Raha, S. K. Nandy, Ranjani Narayan, “Micro-architectural Enhancements in Distributed Memory CGRAs for LU and QR Factorizations”, Proceedings of the IEEE VLSI Design 2015, Bangalore, India, Jan 3-7, 2015.
  8. Gopinath Mahale, Hamsika Mahale, Arnav Goel, S.K.Nandy, S.Bhattacharya, Ranjani Narayan, ” Hardware Solution For Real-time Face Recognition”, Proceedings of the IEEE VLSI Design 2015, Bangalore, India, Jan 3-7, 2015.
  9. Mahnaz Mohammadi, Nitin Satpute, Rohit Ronge, Jayesh Ramesh Chandiramani, S. K. Nandy, Aamir Raihan,Tanmay Verma, Ranjani Narayan, and Sukumar Bhattacharya, ” A Flexible Scalable Hardware Architecture for Radial Basis Function Neural Networks”, Proceedings of the IEEE VLSI Design 2015, Bangalore, India, Jan 3-7, 2015
  10. V. Garg, A. Singh and J. Haritsa, Towards Making Database Systems PC Compliant, Proc. of 26th Intl. Conf. on Database and Expert Systems Applications (DEXA), LNCS 9261, 269-284, September 2015
  11. Ashoke S. and J. Haritsa, CODD, A Dataless Approach to Big Data Testing Proc. of 41st Intl. Conf. on Very Large Data Bases (VLDB)8, 12, 2008 – 2011, September 2015
  12. Pratima Dhuldhule, J. Lakshmi, S. K. Nandy, HPC Cloud: A PAAS Perspective, Proceedings of the International Conference on Cloud Computing and Big Data, Nov 4-6, 2015.
  13. Konda Reddy Mopuri and R. Venkatesh Babu, “Object Level Deep Feature Pooling for Compact Image Representation”, in CVPR workshop on Deep Vision, 2015
  14. Srinivas S S Kruthiventi and R. Venkatesh Babu, “Dominant Flow Extraction and Analysis in Traffic Surveillance Videos”, in CVPR workshop on Group And Crowd Behavior Analysis And Understanding, 2015
  15. Sai Srivatsa R and R. Venkatesh Babu, “Salient Object Detection via Objectness Measure”, in ICIP, 2015
  16. Srinivas S S Kruthiventi and R. Venkatesh Babu, “Crowd Flow Segmentation in Compressed Domain using CRF”, in ICIP, 2015
  17. Suraj Srinivas and R. Venkatesh Babu, “Data-free Parameter Pruning for Deep Neural Networks”, in BMVC, 2015
  18. Ravi Kiran Sarvadevabhatla and R. Venkatesh Babu, “Eye of the Dragon : Exploring discriminatively minimalist sketch-based abstractions for object categories”, in ACMMM, 2015
  19. Nikita Prabhu and R. Venkatesh Babu, “Attribute-Graph: A Graph based approach to Image Ranking”, in ICCV, 2015
  20. Simmhan, Y.; Choudhury, N.; Wickramaarachchi, C.; Kumbhare, A.; Frincu, M.; Raghavendra, C. & Prasanna, V, Distributed Programming over Time-series Graphs, IEEE International Parallel & Distributed Processing Symposium (IPDPS)  809 – 818, 2015
  21. Kumbhare, A.; Frincu, M.; Simmhan, Y. & Prasanna, V.K., Fault-Tolerant and Elastic Streaming MapReduce with Decentralized Coordination, IEEE International Conference on Distributed Computing Systems (ICDCS),  328 – 338, 2015.
  22. Aman, S.; Frincu, M.; Chelmis, C.; Noor, M.; Simmhan, Y. & Prasanna, V. K, Prediction Models for Dynamic Demand Response: Requirements, C. & Insights, IEEE International Conference on Smart Grid Communications (SmartGridComm) 1-6, 2015
  23. Dindokar, R.; Choudhury, N. & Simmhan, Y., Analysis of Subgraph-centric Distributed Shortest Path Algorithm,International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning),  1185-1190, 2015.
  24. K. Huang, N. Sidiropoulos, C. Faloutsos, E. Papalexakis, P. Talukdar, T. Mitchell. Principled Neuro-Functional Connectivity Discovery. SIAM International Conference on Data Mining (SDM 2015), Vancouver, Canada, 2015.
  25. Matt Gardner, Partha Talukdar and Tom Mitchell Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text. AAAI Spring Symposium on Knowledge Representation and Reasoning, Stanford, USA, 2015.
  26. Shukla, A.; Sharma, T. & Simmhan, Y, Characterizing Distributed Stream Processing Systems for IoT Applications,Workshop on Architectural Support and Middleware for InfoSymbiotics/ Dynamic Data Driven Applications Systems (DDDAS), co-located with High Performance Computing,Conference (HiPC)1-1, 2015
  27. Manjunath Hegde, Partha Talukdar An Entity-centric Approach for Overcoming Knowledge Graph Sparsity.. Empirical Methods in NLP (EMNLP 2015), Portugal, 2015.
  28. Bhushan Kotnis, Pradeep Bansal, Partha Talukdar.Knowledge Base Inference using Bridging Entities. Empirical Methods in NLP (EMNLP 2015), Portugal, 2015.
  29. Matt Gardner, Kejun Huang, Evangelos Papalexakis, Xiao Fu, Partha Talukdar, Christos Faloutsos, Nicholas Sidiropoulos, Tom Mitchell Translation Invariant Word Embeddings.. Empirical Methods in NLP (EMNLP 2015), Portugal, 2015.
  30. Mehdi Samadi, Partha Talukdar, Manuela Veloso, Tom Mitchell AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand.. International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, 2015.
  31. Tom Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi, Matt Gardner, Bryan Kisiel, Jayant Krishnmurthy, Ni Lao, Kathryn Mazaitis, Tahir Mohammad, Ndapa Nakashole, Emmanouil Antonios Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov,Never-Ending Learning Malcolm Greaves and Joel Welling. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, USA, 2015.
  32. Bhavana Dalvi, Einat Minkov, Partha Talukdar and William Cohen Automatic Gloss Finding for a Knowledge Base using Ontological Constraints.. International Conference on Web Search and Data Mining (WSDM 2015), Shanghai, China, 2015.
  33. Alona Fyshe, Leila Wehbe, Partha P. Talukdar, Brian Murphy and Tom M. Mitchell. A Compositional and Interpretable Semantic Space. Conference of the North American Chapter of the ACL (NAACL 2015), Denver, USA, 2015.

2014
Journals

  1. Hridoy R. Bairagya, Deepak K.Mishra, Bishnu P. Mukhopadhyay and Sekar, Conserved water-mediated recognition and dynamics of NAD+ (carboxamide group) to hIMPDH enzyme: water mimic approach toward the design of isoform-selective inhibitor, J. BIOMOL. STRUCT. DYN, 32 (8), 1248-1262, 2014
  2. Gurusaran, M. Shankar, R. Nagarajan, John R Helliwell and K. Sekar, Do we see what we should see? Describing the non-covalent interactions in protein structures including precision, IUCrJ,1 (1), 74-81, 2014
  3. Zameer Ahmed, M. Gurusaran, Prasanth Narayanan, K. S. Dinesh Kumar, J. Mohanapriya, M. Kirti Vaishnavi and K. Sekar, PPS: A computing engine to find Palindromes in all Protein sequences, BIOINFORMATION, 10 (1), 2014
  4. Karothu Durga Prasad , Jamma Trinath, Ansuman Biswas, K. Sekar, K. N. Balaji and T. N. Guru Row, Alkyl chain substituted 1, 9- Pyrazoloanthrones exhibit prominent inhibitory effect on c-Jun – N terminal Kinase (JNK), ORGANIC & BIOMOLECULAR CHEMISTRY, 12 (26), 4656-4662, 2014
  5. G. Swetha, D. K. K. Sekar, E. D. Devi, Z. Z. Ahmed, R. Sudha, K. Sekar and A. Anand, Streptococcus pneumoniae Genome Database (SPGDB): A database for strain specific comparative analysis of Streptococcus pneumoniae genes and proteins, GENOMICS,104, 582-586,2014
  6. Anupama, M. P. Aswathy Rajan, M. Gurusaran, P. Radha, K. S. Dinesh Kumar, R. Chitra, A. M. Hima Vyshanavi and K. Sekar, Evolutionary Analysis of CRISPRs in Archaea: An Evidence for Horizontal Gene Transfer, Journal of Proteomics & Bioinformatics, s9-005,2014
  7. G. Swetha, D K K Sekar, Sudha Ramaiah, Anand Anbarasu and K. Sekar, Haemophilus influenzae Genome Database (HIGDB): A single point web resource for Haemophilus influenza, COMPUTERS IN BIOLOGY AND MEDICINE,55, 86-91,2014.
  8. Helliwell, M. Gurusaran and K. Sekar, A knowledgebase of macromolecular non-covalent interactions including precision. ACTA CRYST, ACTA CRYST, A70, C497, 2014
  9. Durga Prasad Karothu , Trinath Jamma , Ansuman Biswas, K. Sekar, Kithiganahalli Balaji and T. N. Guru Row, Anthrapyrazolone analogues intercept inflammatory JNK signals to moderate endotoxin induced septic shock, SCIENTIFIC REPORTS – NATURE, 4, 2014
  10. Sreetama Das, Suryanarayanrao Rama kumar, and Debnath Pal. Identifying functionally important cis-peptide containing segments  in  proteins   and  their   utility   in   molecular   function  annotation, FEBS Journal, 5602-5621, 2014.
  11. Arnab Roy, Umesh Varshney and Debnath Pal, Avoiding acidic region streaking in two-dimensional gel electrophoresis:case study with two bacterial wholen cell ptotein extracts, Journal of Biosciences 39, 631-642 2014.
  12. Pratiti Bhadra   and   Debnath   Pal  Proteins, De novo inference of protein function from coarse-grained dynamics, Proteins: Structure,  Function and Bioinformatics 82 2443-2454, 2014.
  13. Durga  Datta  Kandel,  Chandan   Raychaudhury   and   Debnath,   Two   New  Atom Centered   Fragment  Descriptors  and  Scoring  Function  Enhance  Classification  of  Antibacterial Activity, Journal of Molecular Modeling, 20, 2164, 2014.
  14. Chandan Raychaudhury, Durga Datta Kandel and Debnath Pal Role of Vertex Index in Substructure Identification and Activity Prediction: A Study on Antitubercular Activity of a Series of Acid Alkyl Ester Derivatives, Croatica Chimica Acta 87, 39-47, 2014.
  15. Parida C, Soumyendu  Raha, Ramani,  A, Rollover-Preventive   Force  Synthesis  at Active    Suspensions    in    a  Vehicle  Performing  a Severe Maneuver   With Wheels Lifted  Off  Intelligent   Transportation  Systems,  IEEE  Transactions  On Intelligent Transportation Systems,  Volume:15,  Issue: 6, Page(s): 2583 – 2594, Dec 2014.
  16. Anirban Pal,  Abhishek     Agarwala,      Soumyendu    Raha,  Baidurya  Bhattacharya, Performance    metrics    in  a      hybrid MPI–Open    MP   based   molecular  dynamic simulation      with      short-range   interactions    Journal   of   Parallel  and Distributed Computing Volume 74, Issue 3, Pages 2203–2214, March 2014.
  17. Satadal Ghosh,  Debasish    Ghose,   Soumyendu  Raha,  Capturability of Augmented Pure    Proportional  Navigation  Guidance Against Time-Varying  Target   Maneuvers Journal  of     Guidance,    Control,  and     Dynamics, Vol. 37, No. 5 (2014),  1446-1461.  doi: 10.2514/1.G000561.
  18. Jaya Prakash,   Nick    Todd,   and   Phaneendra  Yalavarthy, Advances in Image Reconstruction   Methods for Real-Time Magnetic  Resonance Thermometry, Journal  of   the  Indian Institute  of  Science (Issue on Magnetic Resonance Spectroscopy and  Imaging) 94(4) 387-406, 2014.
  19. Jaya Prakash, Aditi S. Raju, Calvin B. Shaw, Manojit Pramanik (EE), and Phaneendra  Yalavarthy, Basis pursuit deconvolution for improving model-based reconstructed  images   in  photoacoustic  tomography, Biomedical Optics Express, 5(5), 1363-1377,  2014.
  20. Calvin B. Shaw and   Phaneendra      Yalavarthy,   Performance evaluation of typical  Approximation   algorithms    for non-convex Lp-minimization   in    diffuse       optical  tomography,   Journal   of  the Optical Society of America A: Optics, Imaging Science, and Vision, 31(4), 852-862, 2014.
  21. Jaya Prakash, Hamid Dehghani, Brian W. Pogue and Phaneendra K. Yalavarthy, Model-Resolution   based    Basis    Pursuit   Deconvolution   Improves Diffuse Optical  Tomographic Imaging, IEEE Transactions on Medical Imaging, 33(4), 891-901,2014.
  22. Nick Todd,  Jaya Prakash, Henrik  Odéen, Josh de Bever, Allison Payne, Phaneendra K. Yalavarthy, and Dennis L. Parker,  Toward  real-time  availability of   3-D temperature maps created with temporally constrained reconstruction Magnetic Resonance in  Medicine, 71(4), 1394-1404, 2014.
  23. Calvin B. Shaw and Phaneendra K. Yalavarthy, Incoherence based optimal selection of  independent   measurements    in    diffuse    optical  tomography, Journal of Biomedical  Optics, 19(3), 017-036, 2014.
  24. Jaya Prakash,    Calvin B. Shaw,    Rakesh Manjappa, Rajan Kanhirodan,  and  Phaneendra K. Yalavarthy,  Sparse  Recovery  Methods  Hold Promise for Diffuse  Electronics (Issue on biophotonics), 20(2) 608-609, 2014.
  25. Sashikumaar      Ganesan,       Sangeetha      Rajasekaran,   Lutz   Tobiska :   Numerical modeling   of        the   non-iso  thermal   liquid droplet impact on a hot solid substrate, Int. J. Heat Mass Transfer,   78, 670 – 687, 2014.
  26. Venkatapathi, “Collective eigenstates of emission in an N-entity ,heterostructure and the evaluation of its Green tensors and self-energy, components,” J. Optical Society of America B 31, 3153-3163 (2014).
  27. Nair, H. S. Johnson, D. Paria, M. Venkatapathi and A. Ghosh, “Plasmonic interactions at close proximity in chiral geometries: Route towards broadband chiroptical response and giant enantiomeric sensitivity,” J. Physical Chemistry C 118, 4991–4997 (2014).
  28. Avinash Ramakanth and Venkatesh Babu,  Approximate Nearest Neighbour Field based Optic Disk Detection, Computerized Medical  Imaging  and Graphics 38,1,2014.
  29. Avinash Ramakanth    and  Venkatesh Babu,  Feature Match: A General  ANNF Estimation Technique and its Applications, IEEE Trans. Image  Processing 23, 5, 2014.
  30. Leila Wehbe,       Brian   Murphy,     Partha   Talukdar,      Alona    Fyshe,    Aaditya Ramdas, Tom Mitchell, Simultaneously   Uncovering  the  Patterns    of   Brain  Regions Involved in Different Story Reading Sub processes,  PLoS ONE, 2014.
  31. Evangelos E. Papalexakis, Alona Fyshe,  Nicholas D. Sidiropoulos, Partha  Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos,  Good-Enough Brain Model: Challenges, Algorithms, and   Discoveries in Multisubject Experiments, Big Data Journal, 2014.
  32. Venkatapathi, “Collective eigenstates of emission in an N-entity , heterostructure and the evaluation of its Green tensors and self-energy, components,” J. Optical Society of America B 31, 3153-3163, 2014.
  33. Nair, H. S. Johnson, D. Paria, M. Venkatapathi and A. Ghosh, “Plasmonic interactions at close proximity in chiral geometries: Route towards broadband chiroptical response and giant enantiomeric sensitivity,” J. Physical Chemistry C 118, 4991–4997, 2014

Conference

  1. Aakriti Gupta,      J Lakshmi,  S K Nandy, ” Real Time Routing in Road Networks”, Proceedings     of  the  IEEE   International    Conference   on    Big  Data  and Cloud Computing (BDCloud2014) Sydney, Australia Dec. 3-5, 2014.
  2. Zoltán Endre Rákossy,   Farhad  Merchant,    Axel  Acosta  Aponte,   K. Nandy, Anupam Chattopadhyay, “Scalable    and   Energy-Efficient     Reconfigurable Accelerator   for   Column-Wise     Givens Rotation”,    22nd  IFIP/IEEE International Conference   on   Very   Large   Scale    Integration  (VLSI-SoC) IEEE, 2014, Oct 6-8, 2014, Playa del Carmen, Mexico.
  3. Mahesh Mahadurkar,      Farhad     Merchant,    Arka  Maity, Kapil Vatwani, Munje, Nandhini      Gopalan,      K. Nandy,  Ranjani  Narayan,  “Co-Exploration  of   NLA kernels and     Specification of    Compute  Elements in Distributed Memory CGRAs”, Proceedings of SAMOS XIV 2014, July 14-17, 2014, Samos, Greece.
  4. Zoltán Endre  Rákossy,   Farhad     Merchant,  Axel  Acosta   Aponte,  K.  Nandy, Anupam Chattopadhyay, “Efficient and Scalable CGRA-based Implementation of Column-wise    Givens Rotation”,   proceedings of IEEE ASAP 2014, June 18-20, 2014, Zurich, Switzerland.
  5. Farhad Merchant, Anupam Chattopadhyay, Ganesh Garga, S. K. Nandy, Ranjani Narayan, and Nandhini Gopalan,  ” Efficient QR Decomposition Using Low     Complexity    Column-wise Givens Rotation (CGR)”, proceedings of the IEEE VLSI Design, Jan 7-9, 2014, VLSI Design 2014, IIT Mumbai (Bombay).
  6. Pavan Akulakrishna, J Lakshmi, S K Nandy, “Efficient Storage of Big-Data for Real-Time GPS Applications” International Conference on Big Data and Cloud Computing (BDCloud2014) Sydney, Australia Dec. 3-5, 2014.
  7. Dutt and J. Haritsa, “Plan Bouquets: Query Processing without Selectivity Estimation”, Proc. Of ACM SIGMOD 33rd Intl. Conf. on Management of Data, Snowbird, USA, June 2014.
  8. Dutt, S. Neelam and J. Haritsa, QUEST: An Exploratory Approach to Robust Query Processing, September 2014.
  9. Rajath Kumar,   Sathish  Vadhiyar,   Prediction  of   Queue  Waiting  Times  for Metascheduling  on  Parallel    Batch      In   the proceedings   of  the Job Scheduling Strategies on Parallel Processing (JSSPP), Phoenix, USA, 2014.
  10. Archana R. and M. Venkatapathi, “Calculation of extinction cross section and lifetime of plasmons of gold nanoparticles using FDTD simulations,” AIP Conf. Proc. 1620, 52-57, 2014.
  11. Satadal Ghosh, Debasish Ghose, Soumyendu Raha, Retro-PN Based Simultaneous Salvo Attack  against  Higher  Speed Non  maneuvering  Targets Advances in  Control    and Optimization of Dynamical Systems,Volume 3, Part 1, pages  34-40,  Publisher:IFAC,DOI: 10.3182/20140313-3-IN-3024.00195 2014.
  12. Samanta R Erzin A, Soumyendu Raha, Timing-driven Steiner  tree construction on      uniform lambda-geometry, VLSI Design and, 18th International Symposium on Date    of Conference: Page(s): 1–4 Print ISBN: 978-1-4799-5088-1 DOI: 10.1109/ISVDAT.2014.6881082 Publisher:  IEEE 16-18 July 2014.
  13. Nitin Chandra Badam and  Yogesh  Simmhan,  Subgraph  Rank: Page Rank for Sub graph Centric Distributed Graph Processing, International Conference on Management of Data (COMAD), 1-12, 2014        .
  14. Hsuan Yi     Chu     and    Yogesh      Simmhan,    IEEE   International   Parallel   & Distributed Processing Symposium (IPDPS), 1-10, 2014.
  15. Nithyashri Govindarajan, Yogesh Simmhan, Nitin Jamadagni and Prasant  Misra,   Event   Processing   across   Edge   and  the     Cloud for Internet of Things  Applications, International Conference on Management of Data (COMAD),1-4,
  16. Alok Kumbhare,       Yogesh   Simmhan      and   Viktor    Prasanna, PLAStiCC: Predictive Look-Ahead    Scheduling   for  data    flows  on   Clouds,   IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)1-8, 2014.
  17. Vedsar Kushwaha     and   Yogesh Simmhan, An Analysis of Spot-Priced  Clouds for     Practical Job Scheduling, Cloud Computing for Emerging Markets (CCEM),1-8, 2014.
  18. Yogesh Simmhan,      Alok    Kumbhare,   Charith  Wickramaarachchi,   Soonil Nagarkar, Santosh Ravi, Cauligi   Raghavendra and Viktor Prasanna, GoFFish: A Sub-Graph Centric Framework   for   Large-Scale Graph Analytics, European  Conference on Parallel Processing (EuroPar),1-2, 2014.
  19. Matt Gardner, Partha Talukdar, Jayant Krishnamurthy, and Tom Mitchell, “Incorporating   Vector   Space     Similarity     in      Random  Walk    Inference   over Knowledge Bases”, EMNLP 2014, 2014.
  20. Avinash Ramakanth and R. Venkatesh Babu, “Super Resolution Using a Single Image Dictionary”, in IEEE CONECCT’14, Bangalore.
  21. Nirmal Jith, Avinash Ramakanth and R. Venkatesh Babu, “Optical Flow based on Approximate Nearest Neighbour Field”, in IEEE CONECCT’14, Bangalore.
  22. Gnana Praveen and R. Venkatesh Babu, “Crowd Flow Segmentation based on Motion Vectors in H.264 Compressed Domain”, in IEEE CONECCT’14, Bangalore.
  23. Badrinarayanan and R. Venkatesh Babu, “Human Action Recognition in Compressed Domain using PBL-McRBFN approach”, in IEEE ISSNIP, Singapore, 2014.
  24. Suraj Vantigodi and R. Venkatesh Babu, “Action Recognition from Motion Capture Data using Meta-cognitive RBF Network”, in IEEE ISSNIP, Singapore, 2014.
  25. Kartick and R. Venkatesh Babu , “3-D Optical Flow Features based Human Action Recognition System using Meta-Cognitive Neuro-Fuzzy Inference System”, in IEEE ISSNIP, Singapore, 2014.
  26. Kartick and R. Venkatesh Babu, “Database Independent Human Emotion Recognition with Meta-Cognitive Neuro-Fuzzy Inference System”, in IEEE ISSNIP, Singapore, April 2014.
  27. Nirmal Jith, Avinash Ramakanth and R. Venkatesh Babu, “Optical Flow Estimation Using Approximate Nearest Neighbor Field Fusion”, in ICASSP, Florance, Italy, 2014.
  28. Aniruddha Acharya and R. Venkatesh Babu, “Visual Object Tracking Via Random Ferns based Classification”, in ICASSP, Florance, Italy, 2014.
  29. Suraj V. and R. Venkatesh Babu, “Entropy Constrained Exemplar-based Image Inpainting”, in SPCOM’14.
  30. Nirmal Jith and R. Venkatesh Babu, “Joint Bilateral Filtering Based Non-local Means Image Denoising”, in SPCOM’14.
  31. Sovan Biswas and R. Venkatesh Babu, “Sparse Representation Based Anomaly Detection Using HOMV in H.264 Compressed Videos”, in SPCOM’14.
  32. Avinash Ramakanth and R. Venkatesh Babu, SeamSeg: Video Object Segmentation using Patch Seams, in CVPR, Columbus, Ohio, USA, 2014.
  33. Sovan Biswas,       Gnana     Praveen  and     Venkatesh  Babu,  “Super-pixel Based Crowd  Flow Segmentation in H.264 Compressed Videos”, in ICIP, Paris, 2014.
  34. Sovan Biswas and R. Venkatesh Babu, “Sparse Representation based Anomaly detection with Enhanced Local Dictionaries”, in ICIP, Paris, 2014.
  35. Sovan Biswas and R. Venkatesh Babu, “Short Local Trajectory based moving anomaly detection”, accepted in ICVGIP, 2014.
  36. Aniruddha Acharya      and    Venkatesh Babu, “Fractal Codes based Secret Image Sharing”, accepted in ICVGIP, 2014.
  37. Chintak Sheth  and      Venkatesh Babu,   “Super   Pixel   Clustering   via Kernel Density Estimation”, accepted in ICVGIP, 2014.
  38. Srinivas Kruthventi   and       Venkatesh   Babu, ”  3D   Action Recognition by Learning Sequences of Poses”, accepted in ICVGIP, 2014.
  39. Nikita Prabhu, Avinash     Ramakanth   and R. Venkatesh Babu, “Patch Flow based Visual Object Tracking”, accepted in ICVGIP, 2014.

2013
Journals

  1. Raghavan and S. Vadhiyar, “Efficient Asynchronous Executions of AMR Computations and Visualization on a GPU System,” Journal of Parallel and Distributed Computing 73(6), 866-875, 2013.
  2. C. B. Shaw, J. Prakash, M. Pramanik, and P. K. Yalavarthy, “Least Squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography,” Journal of Biomedical Optics, 18(8), 080501, 2013.
  3. P. K. Jagannath and P. K. Yalavarthy, “Non-Quadratic Penalization Improves Near Infrared Diffuse Optical Tomography,” Journal of the Optical Society of America A: Optics, Imaging Science, and Vision 30(8), 1516–1523, 2013.
  4. P. K. Jagannath and P. K. Yalavarthy, “An Efficient Gradient-Free Simplex Method for Estimation of Optical Properties in Image-Guided Diffuse Optical Tomography,” Journal of Biomedical Optics 18(3), 030503, 2013.
  5. Prakash and P. K. Yalavarthy, “A LSQR-type method provides a computationally efficient automated optimal choice of regularization parameter in diffuse optical tomography,” Medical Physics 40(3), 033101, 2013.
  6. R. Ayyalasomayajula and P. K. Yalavarthy, “Analytical Solutions for Diffuse Fluorescence Spectroscopy/Imaging of Biological Tissues in Regular Geometries Part II: Comparison and Validation,” Journal of the Optical Society of America A: Optics, Imaging Science, and Vision 30(3), 553-559, 2013.
  7. R. Ayyalasomayajula and P. K. Yalavarthy, “Analytical Solutions for Diffuse Fluorescence Spectroscopy/Imaging of Biological Tissues in Regular Geometries Part I: Zero and Extrapolated Boundary Conditions,” Journal of the Optical Society of America A: Optics, Imaging Science, and Vision 30(3), 537-552, 2013.
  8. Ganesan and P. K. Yalavarthy, “Modeling of Terahertz Heating Effects in Realistic Tissues,” IEEE Journal of Selected Topics in Quantum Electronics 19(1) , 8400908, 2013.
  9. Prakash and P. K. Yalavarthy, “Data-resolution based optimal choice of minimum required measurements for image-guided diffuse optical tomography,” Optics Letters 38(2), 88-90, 2013.
  10. S. Sonalikar and A. K. Mohanty, “Variable field ion traps International Journal of Mass Spectrometry 356, 60-70, 2013.
  11. Haridas, J. K. Basu, A. K. Tiwari and M. Venkatapathi,“Photoluminescence decay rate engineering of CdSe quantum dots in ensemble arrays embedded with gold nano-antennae,” Journal of Applied Physics 114, 064305, 2013.
  12. Venkatapathi, S. G. Dastidar, P. Bharath, A. Roy, and A. Ghosh,“Enhanced photo-absorption efficiency of incomplete nanoshells,” Optics Letters 38, 3275-3278, 2013.
  13. Ganesan, “On the dynamic contact angle in simulation of impinging droplets with sharp interface methods,” Microfluidics and Nanofluidics 14, 615-625, 2013.
  14. Ganesan and L. Tobiska, “Operator-splitting finite element algorithms for computations of high-dimensional parabolic problems,” Applied Mathematics and Computation 219, 6182-6196, 2013.
  15. R. Gajjar, T. V. Sreenivas and R. Govindarajan, “Fast Likelihood Computation in Speech Recognition using Matrices,” Journal of Signal Processing Systems 70(2), 219-234, 2013.
  16. Venkatesh Babu, R. Savitha, S. Suresh and B. Agarwal, “Subject Independent Human Action Recognition using Spatio-Depth Information and Meta-cognitive RBF Network,” Engineering Applications of Artificial Intelligence, 26(9), 2010-2021, 2013.
  17. Manjunath, S. P. Kanaujia, K. Surekha, J. Jeyakanthan, and K. Sekar, “Structure of SAICAR synthetase from Pyrococcus horikoshii OT3:Insights into thermal stability,” International Journal of Biological Macromolecules 53, 7-19, 2013.
  18. Sridhar, R. Sabarinathan, P. Gunasekaran, and K. Sekar, “Comparative genomics reveals ‘novel’ Fur regulated sRNAs and coding genes in diverse proteobacteria,” Gene 516, 335-344, 2013
  19. K. Chaudhary, J. Jeyakanthan, and K. Sekar, “Cloning, expression, purification, crystallization and preliminary X-ray crystallographic study of thymidylate kinase(TTHA1607) from Thermus thermophillus HB8,” Acta Crystallographica Section F: Structural Biology and Crystallization Communications 69, 118-121, 2013.
  20. Prasanth, M. Kirti Vaishnavi, and K. Sekar, “An algorithm to find all palindromic sequences in proteins,” Journal of Biosciences 38, 173-177, 2013.
  21. Anjana, M. Shankar, M. Kirti Vaishnavi, and K. Sekar, “A method to find palindromes in nucleic acid sequences,” Bioinformation 9, 255-258, 2013.
  22. K. Nayak, S. B. Mallik, S. P. Kanaujia, K. Sekar, K. R. Ranganathan, V. Ananthalakshmi, G. Jeyaraman, S. S. Saralaya, K. S. Rao, K. Shridhara, K. Nagarajan and T. N. Guru Row, “Crystal structures and binding studies of atovaquone and its derivatives with cytochrome bc1: a molecular basis for drug design,” Cryst Engg Comm 15, 4871-4884, 2013.
  23. Gurusaran, D. Ravella, and K. Sekar, “RepEx: Repeat Extractor for Biological Sequences,” Genomics 102, 403-408, 2013
  24. M. Kavyashree and K. Sekar, “Molecular dynamics perspective on the protein thermal stability: A case study using SAICAR synthetase,” Journal of Chemical Information and Modeling 53, 2448-2461, 2013

Conference

  1. Murty, V. Natarajan, and S. Vadhiyar, “Efficient Homology Computations on Multicore and Manycore Systems,” Proceedings of the International Conference on High Performance Computing (HiPC), Bangalore, India, 2013.
  2. K. Korwar, S. Vadhiyar, and R. Nanjundiah, “GPU-enabled Efficient Executions of Radiation Calculations in Climate Modeling,” Proceedings of the International Conference on High Performance Computing (HiPC), Bangalore, India, 2013.
  3. Malakar, V. Natarajan, S. Vadhiyar, and R. Nanjundiah, “A Diffusion-Based Processor Reallocation Strategy for Tracking Multiple Dynamically Varying Weather Phenomena,” Proceedings of the International Conference on Parallel Processing (ICPP), October 2013, Lyon, France
  4. Vasudevan, S. Vadhiyar, L. Kale, “G-Charm: An Adaptive Runtime System for Message-Driven Parallel Applications on Hybrid Systems,” Proceedings of International Conference on Supercomputing (ICS), 349-358, June 2013, Eugene, Oregon, USA
  5. Prakash, V. Desai, S. Srinivasan, and P. K. Yalavarthy, “Multi-core computers have high scalability than graphics processing units for diffuse optical tomographic image reconstruction,” SPIE/OSA European Conference on Biomedical Optics (ECBO-2013), EM1B.18, May 12-16, 2013.
  6. N. Swamy and P. K. Yalavarthy, “Estimation of optimal regularization parameter using Morozov discrepancy principle for Diffuse optical Tomography,” SPIE/OSA European Conference on Biomedical Optics (ECBO-2013), EM1B.25, May 12-16, 2013.
  7. P. K. Jagannath and P. K. Yalavarthy, “Automated Choice of Regularization Parameter for Spatially Variant Regularization in Diffuse Optical Tomography,” SPIE/OSA European Conference on Biomedical Optics (ECBO-2013), ES4D.1, May 12-16, 2013.
  8. C. B. Shaw and P. K. Yalavarthy, “Efficient compound regularization (L1-TV) based reconstruction method for rapid dynamic diffuse optical tomography,” SPIE/OSA European Conference on Biomedical Optics (ECBO-2013), EM1B.19, May 12-16, 2013
  9. Anand, J. Lakshmi, and S. K. Nandy, “Virtual Machine Placement optimization supporting performance SLAs”, Proceedings of the IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2013), Dec 2-5, 2013, Bristol, UK.
  10. Kala, S. Nalesh, S. K. Nandy, and R. Narayan, “Design of a Low Power 64 point FFT Architecture for WLAN Applications,” Proceedings of the 25th IEEE International Conference on Microelectronics, Dec 15 – 18, 2013, Beirut, Lebanon.
  11. Dhingra, J. Lakshmi, S. K. Nandy, C. Bhattacharyya, and K. Gopinath, “Elastic Resources Framework in IaaS, preserving performance SLAs,” Proceedings of the IEEE Sixth International Conference on Cloud Computing, June 28-July 3, 2013, Santa Clara, California, USA.
  12. Giri and S. K. Nandy, “Optimal Pipeline Depth And Supply Voltage For Power-constrained Processors,” Proceedings of the 26th International Conference on VLSI Design, January 5-10, 2013 Pune, India.
  13. Kala, S. Nalesh, A. Maity, S. K. Nandy, and R. Narayan, “High Throughput, Low Latency, Memory Optimized 64K Point FFT Architecture Using Novel Radix-4 Butterfly Unit,” Proceedings of the 2013 IEEE International Symposium on Circuits and Systems, May 19-23, 2013 Beijing, China.
  14. S. Pai, M. J. Thazhuthaveetil, and R. Govindarajan, “Improving GPGPU Concurrency with Elastic Kernels,” Proceedings of the 18th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-2013), Houston, USA, March 2013.
  15. Biswas and R. Venkatesh Babu, “H.264 Compressed Video Classification Using Histogram of Oriented Motion Vectors (HOMV),” 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 26 – 31, 2013, Vancouver, Canada.
  16. Raja and R. Venkatesh Babu, “A Near Optimal Projection for Sparse Representation based Classification,” 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 26 – 31, 2013, Vancouver, Canada.
  17. J. Ashwini, R. Venkatesh Babu and K. R. Ramakrishnan, “Context-Aware Real-Time Tracking in Sparse Representation Framework,” IEEE International Conference on Image Processing, Melbourne, Australia, 2013.
  18. Venkatesh Babu, “Real-time Robust Tracking Via Sparse Representation: A Mode Seeking Approach,” IEEE International Conference on Image Processing, Melbourne, Australia, 2013.
  19. Venkatesh Babu and P. Parate, “Interst Points Based Object Tracking via Sparse Representation,” IEEE International Conference on Image Processing, Melbourne, Australia, 2013.
  20. Tom and R. Venkatesh Babu, “Fast Moving-Object Detection in H.264/AVC Compressed Domain for Video Surveillance,” National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), December 18-21, 2013, Jodhpur, India.
  21. Biswas and R. Venkatesh Babu, “Real-time Anomaly Detection in H.264 Compressed Videos,” National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), December 18-21, 2013, Jodhpur, India.
  22. Vantigodi and R. Venkatesh Babu, “Real-time Human Action Recognition using Motion Capture Data,” National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), December 18-21, 2013, Jodhpur, India.
  23. Ramakanth and R. Venkatesh Babu, “OD-Match: A PatchMatch based Optic Disk Detection,” National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), December 18-21, 2013, Jodhpur, India.
  24. R. Mopuri, S. Arora, and R. Venkatesh Babu, “Spatio-Temporal feature based VLAD for efficient Video retrieval”, National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), December 18-21, 2013, Jodhpur, India.
  25. Acharya and R. Venkatesh Babu, “Speeding up SIFT using GPU,” National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2013), December 18-21, 2013, Jodhpur, India.
  26. Ghosh, D. Ghose, and S. Raha, “Three Dimensional Retro-PN Based Impact Time Control for Higher Speed Nonmaneuvering Targets,” 52nd IEEE Conference on Decision and Control Florence, Italy, December 10-13, 2013.
  27. Ghosh, D. Ghose, and S. Raha, “Capturability of augmented proportional navigation (APN) guidance with nonlinear engagement dynamics,” IEEE American Control Conference (ACC), 2013, pp. 7-12, 2013.
  28. Ghosh, D. Ghose, and S. Raha, “Three dimensional PN based impact angle control for higher speed nonmaneuvering targets,” IEEE American Control Conference (ACC), 2013, pp. 31-36, 2013.
  29. Samanta, A. Erzin, S. Raha, Y. V. Shamardin, I. I. Takhonov, and V. V. Zalyubovskiy, “A Provably Tight Delay-Driven Concurrently Congestion Mitigating Global Routing Algorithm,” Numerical Computations: Theory and Algorithms 119, 2013.

2012

Journals

  1. Ganesh Garga, Saptarsi Das, S. K. Nandy, Ranjani Narayan, Chandan Haldar, Maheshkumar P. Jagtap, and Siba Prasad Dash, A Flexible Crypto-system Based upon theREDEFINE Polymorphic ASIC Architecture, Defence Science Journal, Vol. 62, No. 1, pp. 30-36, January 2012.
  2. Uthayakumar, Sanjeev Patra, R. Nagarajan and K. Sekar, Sequence-structure similarity: Do sequentially identical peptide fragments have similar three-dimensional structures, CURR. BIOINFORMATICS, 7(2), 111-115, 2012
  3. Anita R. Chacko, J. Jeyakanthan, G. Ueno, K. Sekar, C.Durga Rao, Eleanor J. Dodson, KazaSuguna and Randy J. Read, A new pentameric structure of rotavirus NSP4 revealed by molecular replacement, ENCYCLOPEDIA OF LIFE SCIENCES, ACTA CRYST, D68, 57-61, 2012
  4. Ramasarma, N.V. Joshi, K. Sekar, M. Uthayakumar and D.Sherlin, Transmembrane Domains DOI: 10.1002/9780470015902.a0005051.pub2, 2012
  5. DheerajRavella, M. Uthayakumar, D. Sherlin, M. Shankar, KirtiVaishnavi M and K. Sekar,SMS-2.0: An updated database to study the structural plasticity of short peptide fragments in non-redundant proteins, GENOMICS, PROTEOMICS AND BIOINFORMATICS, 10(1), 44-50, 2012
  6. Nagarajan, S. Siva Balan, R. Sabarinathan, M. KirtiVaishnavi and K. Sekar, Fragment Finder 2.0: A computing server to identify structurally similar fragments J. APPL. CRYST. 45, 332-334, 2012
  7. Uthayakumar, B. Benazir, Sanjeev Patra, M. KirtiVaishnavi, M. Gurusaran, K. Surekha, J. Jeyakanthan and K. Sekar, Homopeptide Repeats: Implications in protein structure, function and evolution GENOMICS, PROTEOMICS AND BIOINFORMATICS 10(4) 217-225, 2012
  8. Rohit, R. Akshaya, R. Sabarinathan, M.KirtiVaishnavi, D. Sherlin, M. Gurusaran and K. Sekar, AS3P: A fast Algorithm to Search Structurally Similar Proteins, ICIC(3)166-173, 2012
  9. Dhanasekaran, D. Velmurugan, Shankar Prasad Kanaujia and K. Sekar, Role of invariant water molecules and water mediated ionic interactions in D-xylose isomerase from Streptomyces rubiginosus, J. BIOMOL. STRUCT. DYN, DOI:10.1080/073911 02.201 2.703064, 2012
  10. KirtiVaishnavi, NishantSaxena, Navjot Shah, Rumani Singh, KavyashreeManjunath, M. Uthayakumar, Shankar P Kanaujia, Sunil C Kaul, K. Sekar, RenuWadhwa, Differential Activities of the Two Closely Related Withanolides,Withaferin A and Withanone: Bioinformatics and Experimental Evidences PLoS ONE. 7(9) e44419. doi: 10.1371/journal.pone.0044419. 2012
  11. Subia, S. Mukherjee, RP. Bahadur, Vitor M Correlo, Reis, L mRui, R. Sabarinathan, K. Sekar and Sc. Kundu, BiomatdBase: A database on Biomaterials THE OPEN TISSUE ENGINEERING AND REGENERATIVE MEDICINE JOURNAL, 5,9-16, 2012
  12. Anjana, M. KirtiVaishnavi, D. Sherlin, S. Pavan Kumar, K. Naveen, P. Sandeep Kanth and K. Sekar, Aromatic-Aromatic Interactions in Structures of Proteins and Protein-DNA Complexes: A study based on orientation and distance, BIOINFORMATION, 8(24) 1220-1224, 2012
  13. ChandanRaychaudhury and Debnath Pal, Use of vertex index in structure-activity analysis and design of molecules, Current Computer Aided Drug Design, 8, 128-134, 2012
  14. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah, Large Improvements in Application Throughput of Long-running Multi-Component Applications using Batch Grids. Concurrency and Computation: Practice & Experience, Vol 24/15, pp 1775-1791, 2012.
  15. Venkatapathi and A. K. Tiwari, Radiative and non-radiative effects of a substrate on localized plasmon resonance of particles J. Applied Physics 112, 013529 (2012).
  16. Venkatapathi, Emitter near an arbitrary body : Purcell effect, optical theorem and the Wheeler-Feynman absorber , J. Quant. Spectros. Radiat. Transfer 113, 1705-1711 (2012).
  17. Sree Harsha Katamreddy and Phaneendra K. Yalavarthy, Model-Resolution Based Regularization Improves Near Infrared Diffuse Optical Tomography, Journal of the Optical Society of America A: Optics, Imaging Science, and Vision, 29(5) 649-656, 2012
  18. Deepak Karkala and Phaneendra K. Yalavarthy, Data-Resolution based Optimization of the Data-Collection Strategy for Near Infrared Diffuse Optical Tomography, Medical Physics, 39(8) 4715-4725, 2012
  19. Calvin B. Shaw and Phaneendra K. Yalavarthy, Effective contrast recovery in rapid dynamic near-infrared diffuse optical tomography using l1-norm-based linear image reconstruction method , Journal of Biomedical Optics, 086009 :1-1017(8) 2012
  20. Ravi P. K. Jagannath and Phaneendra K. Yalavarthy, Minimal Residual Method Provides Optimal Regularization Parameter for Diffuse Optical Tomography, Journal of Biomedical Optics, 17(10), 106015:1-7, 2012
  21. Calvin B. Shaw and Phaneendra K. Yalavarthy, Prior image-constrained l1-norm-based reconstruction method for effective usage of structural information in diffuse optical tomography Optics Letters , 37(20) 4353-4355 2012
  22. Dilip Mathew Thomas, Phaneendra K. Yalavarthy, Deepak Karkala, and Vijay Natarajan, Mesh simplification based on edge collapsing could improve computational efficiency in nea infrared optical tomographic imaging, IEEE Journal of Selected Topics in Quantum Electronics (issue on biophotonics), 18, 4, 1493-1501, 2012.
  23. VenkateshBabu, S. Suresh and R. Savitha, Human Action Recognition using a Fast Learning Fully Complex-valued Classifier, Neurocomputing, pp. 202-212, Vol. 89, July 2012.
  24. Ganesan, An operator-splitting Galerkin/SUPG finite element method for population balance equations: Stability and convergence.Journal: ESAIM: Mathematical Modelling and Numerical Analysis (M2AN), 46, 1447-1465, 2012.
  25. Ganesan, L. Tobiska, Arbitrary Lagrangian-Eulerian finite-element method for computation of two-phase flows with soluble surfactants.Journal: J. Comput. Phys., 231 (9), 3685-3702, 2012.
  26. Ganesan, , L. Tobiska: An operator-splitting finite element method for the efficient parallel solution of multidimensional population balance systems.Chem. Eng. Sci. 69 (1), 59-68, 2012.

Conference

  1. Harsola, P. Deshpande and J. Haritsa, IceCube: Efficient Targeted Mining in Data Cubes, Proc. of 23rd IEEE Intl. Conf. on Data Mining (ICDM), Brussels, Belgium December 2012
  2. Bruhathi H. S. and J. Haritsa, Analyzing Plan Diagrams of XQuery Optimizers, Proc. of 23rd Intl. Conf. on Database and Expert Systems Applications (DEXA), Vienna, Austria, September 2012
  3. Trivedi, I. Nilavalagan and J. Haritsa, CODD: COnstructingDataless Databases, Proc. of 5th Intl. Workshop on Testing Database Systems (DBTest), Scottsdale, USA, May 2012
  4. Kunjir, P. Birwa and J. Haritsa, Peak Power Plays in Database Engines, Proc. of 15th Intl. Conf. on Extending DataBase Technology (EDBT), Berlin, Germany, March 2012.
  5. AnkitAnand, MohitDhingra, J. Lakshmi, S. K. Nandy, Resource usage monitoring for KVM based virtual machines, ADCOM-2012, Bangalore, Dec., 2012.
  6. MohitDhingra, J. Lakshmi, S. K. Nandy, Resource Usage Monitoring in Clouds, The 13th IEEE/ACM International Conference on Grid Computing (GRID12), P-184-191,
    Beijing, Sept, 2012.
  7. K. Rakshatha, V. Vijaykumar, N. Sinha, and Phaneendra K. Yalavarthy, Distinguishing cognitive states using iterative classification, The Eighth Indian Conference on Vision, Graphics and Image Processing, (ICVGIP-2012) 8 135:1-616-19 December, 2012
  8. Krishna Vinay, Sk. M. Haque, R. VenkateshBabu and K.R.Ramakrishnan, Human Detection using Sparse Representation, in IEEE International Conference on Acoustic Speech and Signal Processing (ICASSP), pp. 1513 – 1516, Mar. 25-30, 2012.
  9. Kartick, S. Suresh and R. VenkateshBabu, Meta-Cognitive Neuro Fuzzy Inference System for Human Emotion Recognition, in International Joint conference on Neural Networks (IJCNN), June 10-15, 2012.
  10. Neelam Sinha and R. VenkateshBabu, Sparse Representation for Optic Disk Detection, in International Conference on Signal Processing and Communications (SPCOM), pp. 1-5, 22-25 July, 2012
  11. VennilaMegavannan, Bhuvnesh Agarwal and R. VenkateshBabu, Human Action Recognition Using Depth Maps, in International Conference on Signal Processing and Communications (SPCOM), pp. 1-5, 22-25 July, 2012
  12. Neelam Sinha and R. Venkatesh Babu, Optic Disk Localization using L1 minimization, in IEEE International Conference on Image Processing (ICIP), pp. 2829-2832, Orlando, Florida, USA, 30 Sep – 3 Oct, 2012.
  13. Naresh Kumar M. S., Priti Parate and R. Venkatesh Babu, Fragment-based Real-time Object Tracking: A Sparse Representation Approach, in IEEE International Conference on Image Processing (ICIP), pp. 433-436, Orlando, Florida, USA, 30 Sep – 3 Oct,2012.
  14. Avinash and R. Venkatesh Babu, FeatureMatch: An Efficient Low Dimensional PatchMatch Technique, in Indian Conference on Vision Graphics and Image Processing (ICVGIP), 16-19 Dec, 2012.
  15. Sudharshan S and R. Venkatesh Babu, Super resolution via sparse representation in L1 framework, in Indian Conference on Vision Graphics and Image Processing , (ICVGIP), 16-19 Dec, 2012.
  16. Naresh Kumar M.S., and R. Venkatesh Babu, Human Gait Recognition Using Depth Camera: A Covariance Based Approach, in Indian Conference on Vision Graphics and Image Processing (ICVGIP), 16-19 Dec, 2012.
  17. Avinash Ruchandani and R. Venkatesh Babu, Local Appearance based Robust Tracking via Sparse Representation, in Indian Conference on Vision Graphics and Image Processing (ICVGIP), 16-19 Dec, 2012.
  18. SreepathiPai, R. Govindarajan, Matthew J. Thazhuthaveetil, “Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme” in Proceedings of the 21st International Conference on Parallel Architectures and Compilation Techniques (PACT-12), Minneapolis, USA, September 19–23, 2012.
  19. Raghu Prabhakar, R. Govindarajan, Matthew J. Thazhuthaveetil,`CUDA-For-Clusters: A System for Efficient Execution ofCUDA Kernels on Multi-Core Clusters’, 18th International EuropeanConference on Parallel and Distributed Computing (Euro-Par 2012), Rhodes Island, Greece, August 27-31, 2012.
  20. Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, Sathish Vadhiyar., A Divide and Conquer Strategy for Scaling Weather Simulations with Multiple Regions of Interest. To be presented in IEEE/ACM Supercomputing conference, SC 2012, November 2012, Salt Lake City, Utah, USA.
  21. Cijo George, SathishVadhiyar.,AdFT:An Adaptive Framework for Fault Tolerance on Large Scale Systems using Application Malleability. In the proceedings of International Conference on Computational Science (ICCS), June 2012, Omaha, Nebraska, USA, pp 166-175.
  22. Rajath Kumar, SathishVadhiyar, Identifying Quick Starters: Towards an Integrated Framework for Efficient Predictions of Queue Waiting Times of Batch Parallel Jobs. In the Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), May 2012, Shanghai, China.
  23. Ganesan, A. Hahn, K. Held, L. Tobiska: Institute for Analysis and Numeric, Otto-von-Guericke-Universitaet, Magdeburg, Germany, An accurate numerical method for computation of two-phase flows with surfactants.Conference: ECCOMAS 2012, J. Eberhardsteiner et. al. (eds.), Vienna, Austria., Sept 10-14, CD-ROM, ISBN: 978-3-9502481-9-7

2011

Journals

  1. J. Haritsa, Plan Diagrams Visualizing Database Query Optimizers, Annals of Indian National Academy of Engineering (INAE), pgs. 59-68, April 2011, Volume VIII, Page No.59-68, 2011
  2. H.Sarojadevi and S. K. Nandy, “Processor-Directed Cache Coherence Mechanism – A Performance Study”, International Journal on Computer Science and Engineering (IJCSE) 3 (9), 3202-3206, 2011.
  3. Ratna Krishnamoorthy, Saptarsi Das, Keshavan Varadarajan, Mythri Alle, Masahiro Fujita, S K Nandy and Ranjani Narayan, “Data Flow Graph Partitioning Algorithms and Their Evaluations for Optimal Spatio-temporal Computation on a Coarse Grain Reconfigurable Architecture”, IPSJ Transactions on System LSI Design Methodology 4, 193-209, 2011.
  4. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah, “Adaptive Executions of Multi-Physics Coupled Applications on Grids”, Journal of Grid Computing 9(4), 455-478, 2011.
  5. H.A. Sanjay and Sathish Vadhiyar, Strategies for Rescheduling Tightly Coupled Parallel Applications in Multi-Cluster Grids. Journal of Grid Computing, Vol 9/3, pp 379-403, 2011.
  6. E.K. Ganapathy Subramanyan and Atanu K. Mohanty, “Escape of high mass ions due to initial thermal energy and its implications for axially symmetric RF ion trap mass analyzer design”, International Journal of Mass Spectrometry, 303, 31-41, 2011.
  7. Saswati Dana and Soumyendu Raha, “Physically Consistent Simulation of Mesoscale Chemical Kinetics: the Non Negative FIS-alpha Method”, Journal of Computational Physics 230, 8813-8834, 2011.
  8. Banibrata Mukhopadhyay, Ranchu Mathew, Soumyendu Raha, “Growing pseudo-eigenmodes and positive logarithmic norms in rotating shear flow”, New Journal of Physics 13, 023029, Feb 2011.
  9. Tapan K. Nayak, Saswati Dana, Soumyendu Raha, Sujit K. Sikdar, “Activator induced dynamic disorder and molecular memory in human two-pore domain hTREK1 K+ channel”, Journal of Chemical Biology 4(2), 69-84, 2011.
  10. Saswati Dana, Takashi Nakakuki, Mariko Hatakeyama, Shuhei Kimura and Soumyendu Raha, “Computation of Restoration of Ligand Response in the Random Kinetics of a Prostate Cancer Cell Signaling Pathway”, Computer Methods and Programs in Biomedicine 101,1-22, 2011.
  11. Shankar Prasad Kanaujia, Jeyaraman Jeyakanthan, Akeo Shinkai, Seiki Kuramitsu, Shigeyuki Yokoyama and K. Sekar. “Crystal structures, dynamics and functional implications of molybdenum cofactor biosynthesis protein MogA from two thermophilic organisms”, Acta Crystallographica section f, F67,2-16, 2011.
  12. M. Uthayakumar, G. Sowmiya, R. Sabarinathan, N.A. Udaya Prakash, M. Kirti Vaishnavi and K. Sekar, BSSB : Blast Server for Structural Biologists Journal of applied crystallography, 44, 651-654, 2011
  13. K.H. Venkatesh, M. Uthayakumar, M. Kirti Vaishnavi, R. Senthilkumar, M. Shankar, C. Archana, S. Sathya Priya and K. Sekar, “RPS: Repeats in Protein Sequences”, Journal of applied crystallography,44, 647-650, 2011
  14. A. Arora, N. R. Chandra, A. Das, B. Gopal, S.C. Mande, B. Prakash, .Ramachandran, R. Sankaranarayanan, K. Sekar, K. Suguna, A. K. Tyagi and M. Vijayan, “Structural Biology of M. tuberculosis Proteins: The Indian Efforts, Tuberculosis research”, 91(5), 456-468, 2011
  15. R. Sabarinathan, K. Aishwarya, R. Sarani, M. Kirti Vaishnavi and K. Sekar, “Water-mediated ionic interactions in protein structures”, Journal of biosciences, 36(2), 253-263, 2011
  16. Ragumani Sugadev, M.N.Ponnuswamy and K. Sekar, “Structural analysis of NADPH depleted bovine liver catalase and its inhibitor complexes”, International journal of biochemistry and molecular biology, 2(1), 67-77, 2011
  17. J. Sridhara, R. Sabarinathan, S. Siva Balan, Z. A. Rafi, P. Gunasekaran and K. Sekar, “Junker: An Intergenic Explorer for Bacterial genomes, Genomics, proteomics and bioinformatics, 9(4-5), 179-182, 2011
  18. A.R. Chacko, M. Arifullah, N. P. Sastri, J. Jeyakanthan, G. Ueno, K. Sekar, R. J. Read, E.J. Dodson, D.C. Rao and K. Suguna, “A Novel Pentameric Structure of the Diarrhea-inducing Region of the Rotavirus Enterotoxigenic Protein NSP4”, Journal of virology, 85(23), 12721-12732, 2011
  19. Pralay Mitra and Debnath Pal, PRUNE and PROBE – two modular web services for protein-protein docking, Nucleic Acids Research, 39, W229-W234, 2011
  20. Pralay Mitra and Debnath Pal, Combining Bayes classification and point group symmetry under Boolean framework for enhanced protein quaternary structure inference. Structure, 19, 304-312, 2011
  21. Anirban Mitra, Anil K. Kesarwani, Debnath Pal and Valakunja Nagaraja, WebGeSTer DB – a transcription terminator database, Nucleic Acids Research,39, D129-D135, 2011
  22. Pralay Mitra and Debnath Pal, Using correlated parameters for improved ranking of protein-protein docking decoys, Journal of Computational Chemistry, 32, 787-796, 2011
  23. Pralay Mitra and Debnath Pal, dock Yard – a repository to assist modeling of protein-protein docking, Journal of Molecular Modeling, 17, 599-606, 2011

Conferences

  1. Saptarsi Das, Keshavan Varadarajan, Ganesh Garga, Rajdeep Mondal, Ranjani Narayan and S K Nandy, “A Method for Flexible Reduction over Binary Fields using a Field Multiplier”, In the proceedings of the Internation Conference on Security and cryptography (SECRYPT ’11), July 2011.
  2. Adarsha Rao, S. K. Nandy, Hristo Nikolov, and Ed F. Deprettere. “USHA: Unified Software and Hardware Architecture for Video Decoding. “In Proceedings of the 9th IEEE Symposium on Application Specific Processors, SASP’11, pages 30-37, june 2011.
  3. Ratna Krishnamoorthy, Keshavan Varadarajan, Masahiro Fujita, S. K. Nandy, Spatio-Temporal Computation on a Coarse Grained Reconfigurable Architecture”. In 7th International Symposium on Applied Reconfigurable Computing (ARC 2011), March 2011.
  4. Sudhendra, C., Mahule, V., Pillai, A., Mohanty, A., “A novel space cloth using resistor grid network for radar absorbers in stealth applications”, 2011 International Conference on Communications and Signal Processing, ICCSP 2011; Kerala.
  5. Preeti Malakar, Vijay Natarajan, Sathish Vadhiyar. In St : An Integrated Steering Framework for Critical Weather Applications. In the proceedings of International Conference on Computational Science (ICCS), June 2011, Singapore, pp 116-125.
  6. Murugesan Venkatapathi, “The Wheeler-Feynman absorber revisited: lifetime of an emitter near a nanobody”, proceedings of American Physical Society meeting for Atomic, Molecular and Optical Physics, DAMOP 2011, Atlanta.
  7. Preeti Malakar, Vijay Natarajan, Sathish Vadhiyar. In St : An Integrated Steering Framework for Critical Weather Applications. In the proceedings of International Conference on Computational Science (ICCS), June 2011, Singapore, pp 116-125.
  8. Venkatesh Babu and S. Suresh, “Fully Complex-valued ELM Classifiers for Human Action Recognition”, in International Joint Conference on Neural Networks (IJCNN), pp. 2803 – 2808, 2011.
  9. R. P. K. Jagannath, P. K. Yalavarthy, “A semi-analytic method for continuous-wave diffuse optical tomography,” SPIE/OSA European Conference on Biomedical Optics, May 22-26, 2011, Munich, Germany.