AI/ML
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 Devaran
- Ambedkar Dukkipati
- Shishir N. Y. Kolathaya
- Y. Narahari
- Shirish Shevade
- Gugan Thoppe
Research Projects We list here some of the ongoing research projects of different faculty members. For further information, please look at the laboratory web pages or the posters.
- 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]
- 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]