Arnob Ghosh

Assistant Professor, Electrical & Computer Engineering
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.
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
Website
https://sites.google.com/site/arnob008/
2026 Fall Courses
DS 792B - PRE-DOCTORAL RESEARCH
ECE 790A - DOCTRL DISSRTN & RESEARCH
DS 726 - INDEPENDENT STUDY II
ECE 700B - MASTER'S PROJECT
DS 700B - MASTER'S PROJECT
DS 790A - DOCT DISSERTATION & RES
DS 725 - INDEPENDENT STUDY I
DS 701B - MASTER'S THESIS
ECE 725 - INDEPENDENT STUDY I
ECE 601 - LINEAR SYSTEMS
ECE 321 - RANDOM SIGNALS AND NOISE
DS 488 - INDEPENDENT STUDY IN DS
DS 701C - MASTER'S THESIS
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
Research Interests
Reinforcement Learning, Online Learning, Optimization, Wireless Communication, Multi-agent modeling and learning
Journal Article
Kartik Pandit, Sourav Ganguly, Arnesh Banerjee, Shaahin Angizi, Arnob Ghosh. 2025. "Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models." arXiv preprint arXiv:2510.03520.
Deepak Vungarala, Md Hasibul Amin, Pietro Mercati, Arnob Ghosh, Arman Roohi, Ramtin Zand, Shaahin Angizi. 2025. "Limca: Llm for automating analog in-memory computing architecture design exploration." arXiv preprint arXiv:2503.13301.
Ubaid Qureshi, Arnob Ghosh, Bijaya K Panagrahi. 2024. "Menu-Based Pricing for Electric Vehicle Charging in a Mobile Charging Service for Maximizing Charging Station's Profit and Social Welfare: A Stackelberg Game." IEEE Transactions on Industry Applications, vol. 61, no. 2, pp. 3447-3456.
Ubaid Qureshi, Arnob Ghosh, Bijaya K Panigrahi. 2024. "Multiobjective Pareto-Optimal Intelligent Electric Vehicle Charging Schedule in a Commercial Charging Station: A Stochastic Convex Optimization Approach." IEEE Transactions on Industrial Informatics, vol. 20, no. 11, pp. 12620--12632.
Conference Proceeding
"From Prompt to Accelerator: A Perspective on LLM-Based Analog In-Memory Accelerator Design Automation"
2025.
"Sa-ds: A dataset for large language model-driven ai accelerator design generation"
2025.
"TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator"
2025 IEEE International Conference on LLM-Aided Design (ICLAD), July (3rd Quarter/Summer), 2025.
" Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces"
Proceedings of the 42nd International Conference on Machine Learning, PMLR, June, 2025.
"Online Learning in Risk Sensitive constrained MDP"
Proceedings of the 42nd International Conference on Machine Learning, PMLR, June, 2025.
"Communication Efficient Asynchronous Stochastic Gradient Descent"
IEEE Conference on Computer Communications, London, May, 2025.
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.
Professional
Reviewer, Conference Paper, 2023