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.