Federated Edge Intelligence & Big Data

Pre-prints

1. Nathan Ng, Walid A. Hanafy, Prashanthi Kadambi, Balachandra Sunil, Ayush Gupta, David Irwin, Yogesh Simmhan, Prashant Shenoy, Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs, arXiv:2602.17808, 2026
2. Prashanthi S. K., Saisamarth Taluri, Pranav Gupta, Amartya Ranjan Saikia, Kunal Kumar Sahoo, Atharva Vinay Joshi, Lakshya Karwa, Kedar Dhule, Yogesh Simmhan, Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators, arXiv:2509.20205, 2025

Refereed Publications

1. SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling, Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruhle, Anoop Kulkarni, Steve Kofsky, and Saravan Rajmohan, Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 9(3), 2025 (To appear, extended version of SIGMETRICS 2025).
2. Roopkatha Banerjee, Prince Modi, Jinal Vyas, Abhijit Sri Chunduru, Tejus Chandrashekar, Harsha Varun Marisetty, Manik Gupta and Yogesh Simmhan, Flotilla: A Scalable, Modular and Resilient Federated Learning Framework for Heterogeneous Resources, Journal of Parallel and Distributed Computing (JPDC), 2025 (arXiv). [CORE A*]
3. Roopkatha Banerjee, Tejus Chandrashekar, Ananth Eswar and Yogesh Simmhan, Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators, 31st International European Conference on Parallel and Distributed Computing (EuroPar), 2025 (arXiv)
4. Roopkatha Banerjee, Sampath Koti, Gyanendra Singh, Anirban Chakraborty, Gurunath Gurrala, Bhushan Jagyasi and Yogesh Simmhan, Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids, IEEE International Conference on e-Science (eScience), 2025 (to appear, Best paper finalist) [CORE B]
5. Harsha Varun Marisetty, Manik Gupta and Yogesh Simmhan, D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data, IEEE International Conference on Edge Computing and Communications (EDGE), 2025 (arXiv)
6. Mayank Arya and Yogesh Simmhan, Understanding the Performance and Power of LLM Inferencing on Edge Accelerators, Workshop on Parallel AI and Systems for the Edge (PAISE), Co-located with IEEE IPDPS 2025 (arXiv)
7. Suman Raj, Bhavani A Madhabhavi, Kautuk Astu, Arnav A Rajesh, Pratham M and Yogesh Simmhan, Ocularone-Bench: Benchmarking DNN Models on GPUs to Navigate the Visually Impaired, IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems (ParSocial), Co-located with IEEE IPDPS 2025 (arXiv).
8. M Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Simmhan and Anirban Chakraborty, Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning, Transactions on Machine Learning Research (TMLR), 2024 (arXiv)
9. Prashanthi S. K., Saisamarth Taluria, Beautlin S, Lakshya Karwa and Yogesh Simmhan, PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges, Future Generation Computer Systems, Elsevier, 2024 [IF 6.2, CORE A]
10. Mumuksh Tayal, Yogesh Simmhan, Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device, HiPC SRS, 2024
11. Prashanthi S.K., Vinayaka Hegde, Keerthana Patchava, Ankita Das and Yogesh Simmhan, Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators, IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2023 (Short paper)
12. Prashanthi S.K., Sai Anuroop Kesanapalli and Yogesh Simmhan, Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models, ACM SIGMETRICS, 2023 [CORE A*]
13. Prashanthi S K, Aakash Khochare, Sai Anuroop Kesanapalli, Rahul Bhope and Yogesh Simmhan, Don't Miss the Train: A Case for Systems Research into Training on the Edge, Workshop on Parallel AI and Systems for the Edge (PAISE), collocated with IPDPS, 2022
14. Prashanthi S.K., Sai Anuroop Kesanapalli and Yogesh Simmhan, Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models, Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2022 (extended version)
15. Manoj K Agarwal, Animesh Baranawal, Yogesh Simmhan and Manish Gupta, Event Related Data Collection from Microblog Streams, International Conference on Database and Expert Systems Applications (DEXA), 2021
16. Yogesh Simmhan, Aakash Khochare, and Seshadri K. Ramachandra, Chapter: Computing and storage models for edge computing, Edge Computing: Models, technologies and applications, IET, 2020
17. Dhruv Garg, Prathik Shirolkar, Anshu Shukla and Yogesh Simmhan, TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage, International Conference on Parallel and Distributed Computing (Euro-Par), LNCS 12247, Springer, 2020 [CORE A]
18. Sumit Kumar Monga, R. Sheshadri K and Yogesh Simmhan, ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources, IEEE International Conference on Web Services (ICWS), 2019 [CORE A]
19. Yogesh Simmhan, Encyclopedia of Big Data Technologies , , 2019
20. Aakash Khochare, Pushkara Ravindra, Siva Prakash Reddy, and Yogesh Simmhan, Distributed Video Analytics across Edge and Cloud using ECHO, International Conference on Service-Oriented Computing (ICSOC) Demo, 2017
21. Shilpa Chaturvedi, Sahil Tyagi, and Yogesh Simmhan, Collaborative Reuse of Streaming Dataflows in IoT Applications , IEEE International Conference on eScience (eScience), 2017
22. Anshu Shukla, and Yogesh Simmhan, RIoTBench: An IoT Benchmark for Distributed Stream Processing Systems , Concurrency and Computation: Practice and Experience, 2017
23. Qunzhi Zhou, Yogesh Simmhan, and Viktor Prasanna, Knowledge-infused and Consistent Complex Event Processing over Real-time and Persistent Streams , Future Generation Computer Systems, 2017
24. Alok Kumbhare, Marc Frincu, Yogesh Simmhan, and Viktor K. Prasanna, Fault-Tolerant and Elastic Streaming MapReduce with Decentralized Coordination , IEEE International Conference on Distributed Computing Systems (ICDCS), 2015

Hybrid Cloud, Agentic and Quantum Platforms

Pre-prints

1. Varad Kulkarni, Vaibhav Jha, Nikhil Reddy, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan, Optimizing FaaS Platforms for MCP-enabled Agentic Workflows, arXiv:2601.14735, 2026
2. Shikhar Srivastava, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan Shikhar Srivastava, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan, Lightweight Targeted Estimation of Layout Noise in a Quantum Computer using Quality Indicator Circuits, arXiv:2509.18679, 2025

Refereed Publications

1. Varad Kulkarni, Vaibhav Jha, Nikhil Reddy, Anand Eswaran, Praveen Jayachandran and Yogesh Simmhan, XCAgent: Automating Multi-Cloud Deployment of Agentic Workflows on FaaS Platforms, IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGRID), 2026 (To appear, Short Paper)
2. Prathamesh Saraf Vinayak, Saswat Subhajyoti Mallick, Lakshmi Jagarlamudi, Anirban Chakraborty and Yogesh Simmhan, CARL: Cost-optimized Online Container Placement on VMs using Adversarial Reinforcement Learning, IEEE Transactions on Cloud Computing, 2025
3. Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang and Saravan Rajmohan, AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds, Annual Conference on Machine Learning and Systems (MLSys), 2025 (Artifact Functional Badge) (arXiv)
4. Vaibhav Jha, Shikhar Srivastava, Tarun Pal, Vaishnav Manoj, Ritajit Majumdar, Tuhin Khare, Padmanabha Venkatagiri Seshadri, Varad Kulkarni, Anupama Ray and Yogesh Simmhan, Choreography and Profiling of Quantum-Classical FaaS Workflows On Hybrid Clouds, IEEE CCGRID, 2025
5. Shiva Sai Krishna Anand Tokal, Vaibhav Jha, Anand Eswaran, Praveen Jayachandran and Yogesh Simmhan, Towards Orchestrating Agentic Applications as FaaS Workflows, Workshop on HPC for AI Foundation Models & LLMs for Science (HPAI4S), Co-located with IEEE IPDPS 2025
6. Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Harini Mohan, Jahnavi Murali, Mohith A, Ragul B, Sanjai Balajee, Sanjjit S, Swathika Durairaj, Vaishnavi S, Yashasvee V, Chitra Babu, Abhinandan S Prasad and Yogesh Simmhan, XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms, IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2024 (Open Research Objects (ORO) and Research Objects Reviewed (ROR) Badges) [CORE B]
7. Shikhar Srivastava, Mridulanka Nath, Tarun Harishchandra Pal, Vaishnav Manoj Kavitha, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan, Towards Platform-aware Application of Qubit Reuse in Hybrid Quantum-Classical Workflows, HiPC-W SRS, 2024
8. Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal and Saravan Rajmohan, Building AI Agents for Autonomous Clouds: Challenges and Design Principles, ACM Symposium on Cloud Computing, 2024 (arXiv)
9. Tuhin Khare, Ritajit Majumdar, Rajiv Sangle, Anupama Ray, Padmanabha Venkatagiri Seshadri and Yogesh Simmhan, Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques, IEEE QCE, 2023
10. Rajiv Sangle, Tuhin Khare, Padmanabha Venkatagiri Seshadri and Yogesh Simmhan, Comparing the Orchestration of Quantum Applications on Hybrid Clouds, CCGrid Student Research Symposium, 2023
11. Aakash Khochare, Tuhin Khare, Varad Kulkarni and Yogesh Simmhan, XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds, IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2023 (Open Research Objects (ORO) and Research Objects Reviewed (ROR) Badges) [CORE A]
12. Prateeksha Varshney, Shriram Ramesh, Shayal Chhabra, Aakash Khochare and Yogesh Simmhan, Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources, IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2022 [CORE A]
13. Aakash Khochare, Yogesh Simmhan, Sameep Mehta and Arvind Agarwal, Poster: Toward Scientific Workflows in a Serverless World, IEEE e-Science Conference, 2022
14. Shrey Baheti, Shreyas Badiger and Yogesh Simmhan, VIoLET: An Emulation Environment for Validating IoT Deployments at Large-Scales, ACM Transactions on Cyber-Physical Systems (TCPS), 2021
15. Prateeksha Varshney and Yogesh Simmhan, Characterizing application scheduling on edge, fog, and cloud computing resources, Software: Practice and Experience, 2020, pp. 558–595
16. Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martin Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assuncao, Omer Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya and Haiying Shen, A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade, ACM Computing Surveys (CSUR), 51(5), 2019 [CORE A*]
17. Prateeksha Varshney and Yogesh Simmhan, AutoBoT: Resilient and Cost-effective Scheduling of a Bag of Tasks on Spot VMs, IEEE Transactions on Parallel and Distributed Systems (TPDS), 30(7), 2019 [CORE A*]
18. Shilpa Chaturvedi and Yogesh Simmhan, Toward Resilient Stream Processing on Clouds using Moving Target Defense, IEEE International Symposium on Real-Time Distributed Computing (ISORC), 2019
19. Rajrup Ghosh and Yogesh Simmhan, Distributed Scheduling of Event Analytics across Edge and Cloud, ACM Transactions on Cyber-Physical Systems (TCPS), 2(4), 2018
20. Anshu Shukla and Yogesh Simmhan, Model-driven Scheduling for Distributed Stream Processing Systems, Journal of Parallel and Distributed Computing (JPDC), 117, 2018, pp. 98–114
21. Rajrup Ghosh, Siva Prakash Reddy and Yogesh Simmhan, Adaptive Energy-aware Scheduling of Dynamic Event Analytics across Edge and Cloud Resources, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2018 [CORE A]
22. Anshu Shukla and Yogesh Simmhan, Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds, IEEE International Conference on Distributed Computing Systems (ICDCS), 2018 [CORE A]
23. Prateeksha Varshney, and Yogesh Simmhan, Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions , IEEE International Conference on Fog and Edge Computing (ICFEC), 2017
24. Pushkara Ravindra, Aakash Khochare, Siva Prakash Reddy, Sarthak Sharma, Prateeksha Varshney, and Yogesh Simmhan, ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge, International Conference on Service-Oriented Computing (ICSOC), 2017
25. Alok Gautam Kumbhare, Yogesh Simmhan, Marc Frincu, and Viktor K. Prasanna, Reactive Resource Provisioning Heuristics for Dynamic Dataflows on Cloud Infrastructure , IEEE Transactions on Cloud Computing (TCC), 2015
26. Jayanth Kalyanasundaram, and Yogesh Simmhan, ARM Wrestling with Big Data: A Study of Commodity ARM64 Server for Big Data Workloads , IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2017
27. Vedsar Kushwaha, and Yogesh Simmhan, An Analysis of Spot-Priced Clouds for Practical Job Scheduling , IEEE Cloud Computing for Emerging Markets (CCEM), 2014
28. Hsuan-Yi Chu, and Yogesh Simmhan, Cost-efficient and Resilient Job Life-cycle Management on Hybrid Clouds , IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2014
29. 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), 2014
30. Alok Kumbhare, Yogesh Simmhan, and Viktor K. Prasanna, PLAStiCC: Predictive Look-Ahead Scheduling for Continuous dataflows on Clouds , IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2014

Scalable Dynamic Graphs and GNNs

Pre-prints

1. Pranjal Naman, Parv Agarwal, Hrishikesh Haritas, Yogesh Simmhan, RIPPLE++: An Incremental Framework for Efficient GNN Inference on Evolving Graphs, arXiv:2601.12347, 2026

Refereed Publications

1. Pranjal Naman and Yogesh Simmhan, OptimES: Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks, Journal of Parallel and Distributed Computing, 2026 (arXiv)
2. Ruchi Bhoot, Tuhin Khare, Manoj Agarwal, Siddharth Jaiswal, and Yogesh Simmhan, Triparts: Scalable Streaming Graph Partitioning to Enhance Community Structure, Proceedings of the VLDB Endowment, 18, 2025, DOI (Artifact Available Badge) [CORE A*]
3. Pranjal Naman and Yogesh Simmhan, Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs, 45th IEEE International Conference on Distributed Computing Systems (ICDCS), 2025 (arXiv) [CORE A]
4. Pranjal Naman and Yogesh Simmhan, Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks, 30th International European Conference on Parallel and Distributed Computing (EuroPar), 2024 (arXiv) [CORE B]
5. Pranjal Naman and Yogesh Simmhan, Topology-Aware Aggregation for Federated Graph Learning, International European Conference on Parallel and Distributed Computing PhD Symposium (EuroParW), 2024
6. Ruchi Bhoot, Suved Sanjay Ghanmode and Yogesh Simmhan, TARIS: Scalable Incremental Processing of Time-respecting Algorithms on Streaming Graphs, IEEE Transactions on Parallel and Distributed Systems, 2024 [IF 5.6, CORE A*]
7. Animesh Baranawal and Yogesh Simmhan, Optimizing the Interval-centric Distributed Computing Model for Temporal Graph Algorithms, European Conference on Computer Systems (EuroSys), 2022 (Artifact Functional Badge) [CORE A]
8. Varad Kulkarni, Ruchi Bhoot and Yogesh Simmhan, Poster: I-WICM: Incremental Graph Computation using Optimized Interval-centric Distributed Model, Student Research Symposium (SRS), IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2022
9. Shriram Ramesh, Animesh Baranawal, and Yogesh Simmhan, Granite: A Distributed Engine for Scalable Path Queries over Temporal Property Graphs, Journal of Parallel and Distributed Computing (JPDC), 151, 94–111, 2021 [CORE A*]
10. Amrita Namtirtha, Animesh Dutta, Biswanath Dutta, Amritha Sundararajan and Yogesh Simmhan, Best Influential Spreaders Identification Using Network Global Structural Properties, Nature Scientific Reports, 2021
11. Shriram Ramesh, Animesh Baranawal and Yogesh Simmhan, A Distributed Path Query Engine for Temporal Property Graphs, IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2020
12. Swapnil Gandhi and Yogesh Simmhan, An Interval-centric Model for Distributed Computing over Temporal Graphs, IEEE International Conference on Data Engineering (ICDE), 2020
13. Siddharth D. Jaiswal and Yogesh Simmhan, A Partition-centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs, IEEE Workshop on High-Performance Big Data, Deep Learning, and Cloud Computing (HPBDC), Co-located with IEEE IPDPS, 2019, pp. 452–459
14. Ravikant Dindokar and Yogesh Simmhan, Adaptive Partition Migration for Irregular Graph Algorithms on Elastic Resources, IEEE International Conference on Cloud Computing (CLOUD), 2019, pp. 281–290 [CORE B]
15. Safiollah Heidari, Yogesh Simmhan, Rodrigo N. Calheiros and Rajkumar Buyya, Scalable Graph Processing Frameworks: A Taxonomy and Open Challenges, ACM Computing Surveys (CSUR), 51(3), 2018, pp. 1–53
16. Ravikant Dindokar, and Yogesh Simmhan, Characterization of Vertex-centric Breadth First Search for Lattice Graphs , IEEE International Workshop on Foundations in Big Data Computing (BigDF), Co-located with HiPC , 2017
17. Ravikant Dindokar, Neel Choudhury, and Yogesh Simmhan, Analysis of Subgraph-centric Distributed Shortest Path Algorithm , IEEE International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning), Co-located with IPDPS , 2015
18. Yogesh Simmhan, Neel Choudhury, Charith Wickramaarachchi, Alok Kumbhare, Marc Frincu, Cauligi Raghavendra, and Viktor Prasanna, Distributed Programming over Time-series Graphs , IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2015
19. 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 , International European Conference on Parallel Processing (Euro-Par), 2014
20. Nitin Chandra Badam, and Yogesh Simmhan, Subgraph Rank: PageRank for SubgraphCentric Distributed Graph Processing, International Conference on Management of Data (COMAD), 2014

Autonomous Systems

Pre-prints

1. Suman Raj, Radhika Mittal, Rajiv Mayani, Pawel Zuk, Anirban Mandal, Michael Zink, Yogesh Simmhan, Ewa Deelman, AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios, arXiv:2511.00038, 2025
2. Suman Raj, Bhavani A Madhabhavi, Madhav Kumar, Prabhav Gupta, Yogesh Simmhan, NeoARCADE: Robust Calibration for Distance Estimation to Support Assistive Drones for the Visually Impaired, arXiv:2504.01988, 2025
3. Suman Raj, Swapnil Padhi, Ruchi Bhoot, Prince Modi, Yogesh Simmhan, Towards Perception-based Collision Avoidance for UAVs when Guiding the Visually Impaired, Late-Breaking Results at IEEE/RSJ IROS, 2023

Refereed Publications

1. Suman Raj, Radhika Mittal, Harshil Gupta and Yogesh Simmhan, Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets, Future Generation Computer Systems (FGCS), 2025 (arXiv)
2. Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta and Yogesh Simmhan, AerialDB: A federated peer-to-peer spatio-temporal edge datastore for drone fleets, Pervasive and Mobile Computing (PMCJ), 2025 (arXiv) [IF 3.5]
3. Suman Raj, Rajdeep Singh, Kautuk Astu and Yogesh Simmhan, AeroDaaS: Towards an Application Programming Framework for Drones-as-a-Service, IEEE ICWS, 2025 (short paper, extended arXiv) [CORE A]
4. Aakash Khochare, Francesco Betti Sorbelli, Yogesh Simmhan and Sajal K. Das, Improved Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions, IEEE/ACM TON, 2024 [CORE A*]
5. Srikrishna Acharya B., Mukunda Bharatheesha, Yogesh Simmhan and Bharadwaj Amrutur, A Co-simulation Framework for Communication and Control in Autonomous Multi-Robot Systems, IEEE/RSJ IROS, 2023 [CORE A]
6. Suman Raj, Swapnil Padhi, Ruchi Bhoot, Prince Modi and Yogesh Simmhan, Towards Collision Avoidance for UAVs to Guide the Visually Impaired, IROS Late Breaking Work, 2023
7. Suman Raj, Swapnil Padi and Yogesh Simmhan, Ocularone: Exploring drones-based assistive technologies for the visually impaired, CHI EA, 2023
8. Suman Raj, Harshil Gupta and Yogesh Simmhan, Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets, IEEE/ACM CCGRID, 2023 [CORE A]
9. Srikrishna Acharya, Bharadwaj Amrutur, Mukunda Bharathesa and Yogesh Simmhan, CORNET 2.0: A Co-Simulation Middleware for Robot Networks, International Conference on COMmunication Systems & NETworkS (COMSNETS), 2022, 10.1109/COMSNETS53615.2022.9668501
10. Bharati Khanijo, Harshil Gupta and Yogesh Simmhan, Poster: D2V: Drone Data Ingest Mechanism for Video Databases, Student Research Symposium (SRS), IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2022 (Best Poster Award)
11. Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli and Sajal K. Das, Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions, IEEE International Conference on Computer Communications (INFOCOM), 2021
12. Srikrishna Acharya, S. Sadgun S. Devanahalli, Alok Rawat, Varghese P. Kuruvilla, Pratik Sharma, Bharadwaj Amrutur, Ashish Joglekar, Raghu Krishnakuram, Yogesh Simmhan and Himanshu Tyagi, Network Emulation For Tele-driving Application Development, IEEE COMSNETS, 2021
13. Srikrishna Acharya, Amrutur Bharadwaj, Yogesh Simmhan, Aditya Gopalan, Parimal Parag and Himanshu Tyagi, CORNET: A Co-Simulation Middleware for Robot Networks, IEEE International Conference on COMmunication Systems & NETworkS (COMSNETS), 2020

Smart Cities

Pre-prints

1. Akash Sharma, Chinmay Mhatre, Sankalp Gawali, Ruthvik Bokkasam, Brij Kishore, Vishwajeet Pattanaik, Tarun Rambha, Abdul R. Pinjari, Vijay Kovvali, Anirban Chakraborty, Punit Rathore, Raghu Krishnapuram, Yogesh Simmhan, The Urban Vision Hackathon Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic, arXiv:2511.02563, 2025

Refereed Publications

1. Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra, Arun Josephraj, Rakshit Ramesh, Punit Rathore Anirban Chakraborty, Raghu Krishnapuram3,4, Vijay Kovvali4 and Yogesh Simmhan, Scaling Real-Time Traffic Analytics on Edge–Cloud Fabrics for City-Scale Camera Networks, TCSC SCALE Challenge, 2026 (To Appear)
2. Amrita Namtirtha, Sheetal Kumar K., Sejal Jain, Yogesh Simmhan, M. S. Mohan Kumar, Placement Strategies for Water Quality Sensors using Complex Network Theory for Continuous and Intermittent Water Distribution Systems, Water Resources Research, 2023 [IF 6.159]
3. Aakash Khochare, Aravindhan Krishnan, and Yogesh Simmhan A Scalable Platform for Distributed Object Tracking across a Many-camera Network, IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 32, Pages 1479-1493, June 2021, 10.1109/TPDS.2021.3049450 [CORE A*]
4. Ravi Sahu, Ayush Nagal, Kuldeep Kumar Dixit, Harshavardhan Unnibhavi, Srikanth Mantravadi, Srijith Nair, Yogesh Simmhan, Brijesh Mishra, Rajesh Zele, Ronak Sutaria, Vidyanand Motiram Motghare, Purushottam Kar and Sachchida Nand Tripathi, Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors, Atmospheric Measurement Techniques (AMT), 2021
5. Aakash Khochare and Yogesh Simmhan, A scalable and composable analytics platform for distributed wide-area tracking, ACM ICDCN, 2019 [CORE B] (Extended Abstract)
6. Aakash Khochare, Sheshadri Ramachandra, Shriram Ramesh and Yogesh Simmhan, Dynamic Scaling of Video Analytics for Wide-area Tracking in Urban Spaces, IEEE SCALE (CCGRID), 2019 (SCALE Challenge Winner)
7. Prithvi Alva, K. R. Sheetal Kumar, Yogesh Simmhan and M. S. Mohan Kumar, Enabling Equitable Water Supply in a Mega-city using a Big Data Analytics Platform, CCWI, 2019 (Extended Abstract)
8. Yogesh Simmhan, Malati Hegde, Rajesh Zele, Sachchida N. Tripathi, Srijith Nair, Sumit K. Monga, Ravi Sahu, Kuldeep Dixit, Ronak Sutaria, Brijesh Mishra, Anamika Sharma and S. V. R. Anand, SATVAM: Toward an IoT Cyber-Infrastructure for Low-Cost Urban Air Quality Monitoring, IEEE eScience, 2019
9. Saima Aman, Yogesh Simmhan, and Viktor Prasanna, Holistic Measures for Evaluating Prediction Models in Smart Grids , IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015
10. Saima Aman, Marc Frincu, Charalampos Chelmis, Muhammad Noor, Yogesh Simmhan, and Viktor K. Prasanna, Prediction Models for Dynamic Demand Response: Requirements, Challenges, and Insights , IEEE International Conference on Smart Grid Communications (SmartGridComm), 2015
11. Prasant Misra, Yogesh Simmhan, and Jay Warrior, Towards a Practical Architecture for Internet of Things: An India-centric View, IEEE Internet of Things Newsletter, 2015

FinTech & DPI

Refereed Publications

1. Shrey Baheti, Parwat Singh Anjana, Sathya Peri and Yogesh Simmhan, DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain, Concurrency and Computation: Practice and Experience, 2021
2. Yogesh Simmhan, Anshu Shukla, and Arun Verma, Benchmarking Fast Data Platforms for the Aadhaar Biometric Database , Workshop on Big Data Benchmarking (WBDB), 2015

Genomics

Refereed Publications

1. Chandrika Bhattacharyya et al., Mapping genetic diversity with the GenomeIndia project, Nature Genetics, 2025
2. Ajeya B S, Sai Manasa Chadalavada, Nagakishore Jammula, Chirag Jain and Yogesh Simmhan, A Lossless Compression Pipeline for Petabyte-scale Whole Genome Sequencing Data, IEEE HiPC, 2023 (Short paper)
3. Yogesh Simmhan, Tarun Rambha, Aakash Khochare, Shriram Ramesh, Animesh Baranawal, John Varghese George, Rahul Atul Bhope, Amrita Namtirtha, Amritha Sundararajan, Sharath Suresh Bhargav, Nihar Thakkar and Raj Kiran, GoCoronaGo: Privacy Respecting Contact Tracing for COVID-19 Management, Journal of the Indian Institute of Science, 2020
4. Diksha Chaudhary, Bratati Kahali, and Yogesh Simmhan, An Empirical Study on Efficient Storage of Human Genome Data , Women in Data Science and Computing Workshop, Co-located with IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) , 2019

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