• Theory
• Systems
• Intelligent Systems

• Dissertations
• Technical Reports

Intelligent Systems

Research in the intelligent systems group focuses on auctions and mechanism design, computational neuroscience, data science, electronic commerce, game theory, machine learning, natural language processing, pattern recognition, reinforcement learning, social network analysis, stochastic control and optimization and stochastic simulation.

Faculty

• Siddharth Barman
  
• Shalabh Bhatnagar
• Chiranjib Bhattacharyya
  
• Sridharan Devarajan
  
• Ambedkar Dukkipati
  
• M. Narasimha Murty
  
• Y. Narahari
• Shirish Shevade
• V. Susheela Devi
  
• Partha Pratim Talukdar

Research Projects

• Structural Theory of Equilibrium Computation [Siddharth Barman]
  
• Efficient algorithms for optimization and control in stochastic systems [Shalabh Bhatnagar | Stochastic Systems Lab]
  
• Robust optimization and machine learning for computer systems [Chiranjib Bhattacharyya | Machine Learning Lab]
  
• Unraveling neural computations underlying cognitive phenomena [Sridharan Devarajan | Cognition, Computation and Behavior Lab]
  
• Statistical and spectral methods, Deep Learning, Natural Language Inference [Ambedkar Dukkipati | Statistics and Machine Learning Lab]
  
• Social Network Analysis [M. Narasimha Murty | Topic Analysis and Synthesis Lab]
  
• Incentive design for Enhancing Efficiency in Online Education, Game Theory Based Approaches for Disaster Management[Y. Narahari | Game Theory Lab]
  
• Machine Learning, Deep Learning for NLP [Shirish Shevade | Intelligence Systems Lab]
  
• NLP, Knowledge Graphs, Machine Learning [Partha Pratim Talukdar | Machine and Language Learning (MALL) Lab]