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About Me

I have been an Assistant Professor at the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT) since Fall 2023..

Note to Students: I will be looking for motivated, hard-working Ph.D. students in the area of Applied Mathematics, Machine Learning, Wireless Communication, Control Theory, and Computer Networks. Please apply to the Ph.D. program and send your CVs at arnob.ghosh@njit.edu. If you are an undergrad at the NJIT please drop a mail with your list of potential interests, and the coursework you have done.

Past Experience: Before joining NJIT, I was a Research Scientist at the Electrical and Computer Engineering Department of The Ohio State University. I was also part of the NSF AI-EDGE Institute (https://aiedge.osu.edu/).  I was hosted by Ness Shroff since June 2021.  Prior to that, I was an Assistant Professor at the Industrial Engineering and Operations Research (IEOR) Program of Mechanical  Engineering Department at Indian Institute of Technology-Delhi (IIT-Delhi) since August 2019.  At IIT-Delhi, I was also associated with the School of Artificial Intelligence. While serving as an Assistant Professor, I also spent at the Imperial College as a Research Associate where I was hosted by Thomas Parisini. Prior to joining IIT-Delhi, I was a Post-doctoral research associate in the School of Industrial Engineering at Purdue University from August 2016 to July 2019. There, I was hosted by Dr. Vaneet Aggarwal. 

I also spent 3 months (May'2017- August' 2017) at Northwestern University in the Department of Electrical Engineering and Computer Science with Prof. Randall Berry.  I have been privileged to work with Eitan Altman during the summer of 2014 at INRIA, Sophia Antipolis, France. 

I completed my Ph.D. in August, 2016 from the Electrical and System Engineering Department, University of Pennsylvania where I was advised by Prof. Saswati Sarkar. Before joining UPENN, I have studied Electronics & Telecommunication Engineering at Jadavpur University from 2007-2011.  

My research interests lie broadly in Reinforcement/Machine Learning, Game Theory, Control and Decision Theory, Wireless Communication, Networking, Intelligent Transportation, Smart Grid,  and their intersections.

 My CV is here. 

 My Google Scholar page is here.

My Google Scholar page is here. 

News (10 Latest ones)

1. Paper on ``Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL" has been accepted at AISTATS'24.

2.  Paper on ``Achieving fairness in multi-agent Reinforcement Learning" has been accepted at ICLR'24.

3. I am going to teach Reinforcement Learning course in Spring 2024. Please register for the course or contact me if you need any information.

4. Nov. 2023: Selected as co-chair of the Robotics and Automation Chapter of IEEE North Jersey Section.

5. Sept. 2023: Paper on Video streaming using constrained RL has been accepted at the IEEE CQR Workshop.

6. Mar 2023: Our paper on ''Provably Efficient Learning in Leader-Follower Markov Game with Linear Function Approximation" has been accepted at L4DC'2023.

7. Jan 2023: Our paper on ``Achieving sub-linear regret in infinite-horizon average reward constrained MDP with linear function approximation" has been accepted at ICLR'2023.

8. Jan 2023: Our paper on ''Provably Efficient Model-free RL algorithm for non-stationary constrained MDPs" has been accepted at AISTATS'2023.

9. Oct 2022: Paper on ''Traffic-light control in urban environment exploiting drivers' reaction to the expected red-light durations" has been published at Elsevier, Transportation Research Part C: Emerging Technologies, Link 

10. Sept. 2022: Our Paper on ``Provably efficient Model-free Constrained RL with linear function approximation" has been accepted at NeurIPS'2022. ArxIV 

Education

• Ph.D.  Electrical and Systems Engineering, University Of Pennsylvania, Sept. 2011-August2016.

• M.S., Electrical Engineering, University Of Pennsylvania, May 2013.

• B.E., Electronics and Telecommunication Engineering, Jadavpur University, May 2011.