Group Members
We are looking for new PhD students, Postdocs, and Master students to join the team (see openings) !
Jump to staff, master and bachelor students, alumni, administrative support, lab visitors.
Post Doctoral Researchers
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Formal Verification for Hardware Security
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Prof. Kamakoti V, Prof. Chester Rebeiro
Ph.D. Students
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Approximate computing, micro-architecture
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Prof. Kamakoti V
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Hardware security, enery efficient computing, computer architecture
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Prof. Kamakoti V
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Shakti-T: A Secure Microprocessor
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Prof. Kamakoti V
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Network Function Virtualization, Cloud Networking, Network Security, Next Generation Networks.
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Prof. Kamakoti V
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FileSystems/Storage Controllers
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Prof. Kamakoti V, Dr. Suparna Bhattacharya
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Class Imbalance Learning
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Prof. Ravindran B
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Network Security
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Prof. Kamakoti V, Prof. Chester Rebeiro
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Network Privacy
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Prof. Kamakoti V, Prof. Nitin Chandrachoodan
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microarchitectural security
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Prof. Chester Rebeiro
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Machine Learning and Virtual Reality
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Prof. Ravindran B, Prof. Manivannan M.
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Network Security
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Prof. Kamakoti V
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Machine Learning, Complex Network Analysis, Bioinformatics
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Prof. Ravindran B, Prof. Manikandan Narayanan
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Deep Learning for Knowledge Graphs, Natural Language Processing
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Prof. Ravindran B
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Hardware Security
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Prof. Chester Rebeiro
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Micro-architectural Security, Malware Defense, OS Security
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Prof. Chester Rebeiro
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Manufacturing analytics, Machine Learning, Reinforcement Learning
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Prof. Ravindran B, Prof. Raghunathan Rengaswamy (Chemical Engineering)
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Systems for ML
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Prof. Kamakoti V, Prof. Pratyush Kumar
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Theoretical machine learning
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Prof. Harish Guruprasad
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Machine Learning, Natural Language Processing, Deep Learning,
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Prof. Mitesh Khapra
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reinforcement learning, machine learning
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Prof. Ravindran B
MS Students
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Hardware Security
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Prof. Debdeep Mukhopadhyay
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Epsilon Equitable Partitions based Approach for Role & Positional Analysis of Social Networks
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Prof. Ravindran B
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A Scalable Approach to Mining Communication Motifs from Dynamic Networks
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Prof. Ravindran B
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A Study of Community Detection Algorithms in Large Networks
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Prof. Ravindran B
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Exploring the Plasticity of Deep Convolutional Neural Networks
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Prof. Ravindran B, Prof. Gitakrishnan Ramadurai (Co-Guide, CE)
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Machine learning approaches to predict essential genes
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Prof. Ravindran B
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Natural Language Generation from Structured Data
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Prof. Mitesh Khapra
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Finite-time Analysis of Frequentist Strategies for Multi-armed Bandits
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Prof. Ravindran B
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Parallelizing Cache Timing Attacks for Last Level Cache Memories
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Prof. Chester Rebeiro
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Hardware Security ( Thesis Title: Automatic Synthesis of Fault Attack Resistant Block Cipher Implementation)
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Prof. Chester Rebeiro
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Incorporating External Knowledge in Domain Specific Conversation Systems
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Prof. Ravindran B, Prof. Mitesh Khapra
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Incorporating Domain Knowledge in Multilingual, Goal-Oriented Neural Dialogue Models
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Prof. Mitesh Khapra
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On Test and Diagnostic methodologies for nanometer technologies
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Prof. Kamakoti V
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Differential Power Analysis, RISC-V Secure Microprocessor, Side-channel Leakage Evaluation
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Prof. Chester Rebeiro
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Hierarchical Reinforcement Learning
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Prof. Ravindran B
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Deep Learning, Visual Question Answering, Computer Vision, Object Detection
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Prof. Mitesh Khapra
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Fairness in AI
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Prof. Ravindran B
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Computer Vision, Visual Question Answering and Deep Learning
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Prof. Mitesh Khapra
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Programming Languages and Distributed Systems
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Prof. KC Sivaramakrishnan
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Computer Architecture, High Performance Computing, Hardware Security
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Prof. Kamakoti V, Prof. Chester Rebeiro
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Machine Learning, Deep Learning, NLP
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Prof. Pratyush Kumar
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Reinforcement Learning, Machine Learning, Applied AI
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Prof. Ravindran B
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Spectral Hypergraph Theory
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Prof. Ravindran B
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NLP and Deep Learning
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Prof. Mitesh Khapra, Prof. Pratyush Kumar
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Hardware Security, Fault Attacks
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Prof. Chester Rebeiro
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Intrinsically Motivated Reinforcement Learning
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Prof. Ravindran B
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Deep Attention Models, Deep Learning, Machine Learning
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Prof. Harish Guruprasad
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Machine Learning
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Prof. Arun Rajkumar
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Concurrent software testing, distributed systems
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Prof. KC Sivaramakrishnan
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Reinforcement Learning, Natural Language Processing
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Prof. Ravindran B
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Continual Learning, Time-Series
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Prof. Ravindran B
MTech Students
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Multicore OCaml
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Prof. KC Sivaramakrishnan
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Device Drivers for SHAKTI
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Prof. Kamakoti V
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Machine Learning, Deep Learning, Recurrent Neural Networks
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Prof. Harish Guruprasad
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Satellite image analysis with Deep Learning models
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Prof. Pratyush Kumar
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Hardware Design
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Prof. Kamakoti V
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Machine Learning, Deep Learning
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Prof. Harish Guruprasad
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Fairness in Influence Maximization
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Prof. Arun Rajkumar
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Machine learning
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Prof. Arun Rajkumar
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Machine Learning
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Prof. Arun Rajkumar
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Design of ”Memory Management Unit and Cache Controller”
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Prof. Kamakoti V
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RL for control/stabilization of mechanical systems
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Prof. Ravindran B
Administrative Support
Ellie van Rijsewijk is helping us (and other groups) with administration.