Arnob Ghosh
Arnob Ghosh
Assistant Professor, Electrical and Computer Engineering
9735963342 Electrical and Computer Engineering Center (ECEC)
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.
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 the 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. 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 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.
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 the 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. 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 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.
Education
Ph.D.; University of Pennsylvania; Electrical and Systems Engineering; 2016
M.S.; University of Pennsylvania; Electrical Engineering; 2013
B.E.; Jadavpur University; Electronics and Tele-Communication Engineering; 2011
M.S.; University of Pennsylvania; Electrical Engineering; 2013
B.E.; Jadavpur University; Electronics and Tele-Communication Engineering; 2011
2024 Fall Courses
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 700B - MASTER'S PROJECT
ECE 601 - LINEAR SYSTEMS
ECE 725 - INDEPENDENT STUDY I
ECE 417 - ELECT AND COMP ENGR PROJ II
ECE 701B - MASTER'S THESIS
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 700B - MASTER'S PROJECT
ECE 601 - LINEAR SYSTEMS
ECE 725 - INDEPENDENT STUDY I
ECE 417 - ELECT AND COMP ENGR PROJ II
ECE 701B - MASTER'S THESIS
ECE 792B - PRE-DOCTORAL RESEARCH
Teaching Interests
Linear Dynamical Systems
Machine Learning
Control and Decision Making
Reinforcement Learning
Machine Learning
Control and Decision Making
Reinforcement Learning
Research Interests
Reinforcement Learning, Online Learning, Optimization, Wireless Communication, Multi-agent modeling and learning
Conference Paper
Sample Complexity for Obtaining Sub-optimality and Violation bound for Distributionally Robust Constrained MDP
First Reinforcement Learning Safety Workshop, August 2024
Dynamic Routing and Scheduling of Mobile Charging Stations for Electric Vehicles Using Deep Reinforcement Learning
2024 IEEE Power & Energy Society General Meeting (PESGM), July (3rd Quarter/Summer) 2024
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning
International Conference on Learning Representation, May 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free R
International Conference on Artificial Intelligence and Statistics, April (2nd Quarter/Spring) 2024
COREL: Constrained Reinforcement Learning for Video Streaming ABR Algorithm Design Over mmWave 5G
2023 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR), November 2023
First Reinforcement Learning Safety Workshop, August 2024
Dynamic Routing and Scheduling of Mobile Charging Stations for Electric Vehicles Using Deep Reinforcement Learning
2024 IEEE Power & Energy Society General Meeting (PESGM), July (3rd Quarter/Summer) 2024
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning
International Conference on Learning Representation, May 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free R
International Conference on Artificial Intelligence and Statistics, April (2nd Quarter/Spring) 2024
COREL: Constrained Reinforcement Learning for Video Streaming ABR Algorithm Design Over mmWave 5G
2023 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR), November 2023
Professional
Reviewer, Conference Paper, 2023