CDS is engaged in cutting-edge research programs in areas relating to computational and data science, computing and data systems, and their applications. The research focus of CDS is broadly classified into Computer and Data Systems stream and Computational Science stream, with sub-areas within each as described below.
Please visit the CDS labs page to learn more about the research works research works carried out in the respective labs. The department is also involved in several sponsored research projects in collaboration with many government and private agencies.
Computer and Data Systems Stream (CDS-CS)
- Software & Runtime Systems
- Runtime Frameworks for High Performance and Accelerated Computing, Middleware for Batch Systems, Computing and data platforms for Cloud and Edge computing, Software and analytics frameworks for Internet of Things, Compiler optimization
- Labs:
- Data Management, Computing & Analytics
- Database Systems, Big Data Analytics & Platforms, Graph Analytics, Computer Vision, Distributed Data Systems, Machine Learning and Natural Language Processing
- Labs:
- Database Systems Lab (Prof. Jayant R. Haritsa)
- Distributed Research on Emerging applications and Machines (DREAM) Lab (Prof. Yogesh Simmhan)
- Machine And Language Learning (MALL) Lab (Prof. Partha Pratim Talukdar)
- Video Analytics Lab (Prof. R. Venkatesh Babu)
- Visual Computing Lab (Prof. Anirban Chakraborty)
- Computer Architecture
- Runtime Reconfigurable System-on-Chip (SoC) architectures, modeling of massively parallel reconfigurable silicon cores, compilation techniques for reconfigurable silicon cores, large scale simulations on massively parallel and distributed SoC architectures, application synthesis on Runtime Reconfigurable
- Labs:
Computational Science Stream (CDS-CP)
- Computational Science and Engineering
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- Modeling and simulation for various applications in science and engineering, Computational Mathematics, Computational algorithms for evolving high-performance computing architectures, Mathematical Software/Libraries, Parallel Computing
- Labs:
- Computational Mathematics Group (CMG) (Prof. Sashikumaar Ganesan)
- Computational and Statistical Physics Lab (CSPL) (Prof. Murugesan Venkatapathi)
- FLow Analysis and Multiphysics-simulations at Extreme-scale (FLAME) Lab (Prof. Konduri Aditya)
- Materials-physics & Algorithmic Techniques Research In eXtreme-computing (MATRIX) Lab (Prof. Phani Motamarri)
- Medical Imaging Group (MIG) (Prof. Phaneendra K. Yalavarthy)
- Quantifying Uncertainty in Engineering, Science and Technology (QUEST) Lab (Prof. Deepak Subramani)
- Scientific Computation Lab (SCL) (Prof. Soumendyu Raha)
- Bioinformatics
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- Computational genomics, Structural bioinformatics, Systems Biology, Drug and Vaccine Discovery, Bioinformatic Databases and Software Tools
- Labs:
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