Ph.D Students

In Progress

  1. Chandramouli K.: Stochastic optimization, joined 2014

  2. Indu John: Reinforcement learning, crowdsourcing, joined 2014

  3. Sindhu P.R.: Wireless sensor networks, reinforcement learning, joined 2015

  4. D. Raghuram Bharadwaj: Optimization in smart grids, sensor networks, joined 2016

Thesis Submitted

  1. Vinayaka G. Yaji: Stochastic Approximation with Set-Valued Maps and Markov Noise: Theoretical Foundations and Applications, Thesis Submitted, February 2018

  2. Prasenjit Karmakar: Stochastic Approximation with Markov Noise: Analysis and Applications in Reinforcement Learning, Thesis Submitted, January 2018

Former Students

  1. Arunselvan Ramaswamy: Stochastic Approximation Algorithms with Set-Valued Dynamics: Theory and Applications (Thesis Defended), November 2017

  2. Ajin George Joseph: Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings (Thesis Defended), October 2017

  3. Ranganath B.N.: Scalable Sparse Bayesian Nonparametric and Matrix Tri-factorization Models for Text Mining Applications (Thesis Defended), April 2017

  4. K.J. Prabu Chandran: Feature Adaptation Algorithms for Reinforcement Learning with Applications to Wireless Sensor Networks and Road Traffic Control, graduated 2016

  5. Chandrashekar Lakshmi Narayanan: Approximate Dynamic Programming and Reinforcement Learning - Algorithms, Analysis and An Application, graduated 2016

  6. Lakshmanan K : Online Learning and Simulation based Algorithms for Stochastic Optimization, graduated 2013.

  7. Prashanth L.A : Resource Allocation under Uncertainty: Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design, graduated 2013.

  8. H.L. Prasad : Algorithms for Stochastic Games and Service Systems, graduated 2013.

  9. Vivek Kumar Mishra : Simulation Based Methods for Optimization, graduated 2012.

  10. Mohammed Shahid Abdulla : Simulation Based Algorithms for Markov Decision Processes and Stochastic Optimization, graduated 2008.

  11. Ambedkar Dukkipati (joint guidance with Prof. M. Narasimha Murty) : On Generalized Measures of Information with Maximum and Minimum Entropy Prescriptions, graduated 2007.

  12. Viswanath Pulabaigari (joint guidance with Prof. M. Narasimha Murty) : Pattern Synthesis Techniques and Compact Data Representation Schemes for Efficient Nearest Neighbor Classification, graduated 2005.