Arnob Ghosh

Arnob Ghosh is an Assistant Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research focuses on reinforcement learning, optimization algorithms, and their applications in smart grid systems, electric vehicle infrastructure, and spectrum management. He has contributed significantly to areas such as multi-agent decision-making under constraints, dynamic resource allocation, and AI-driven hardware design. With an h-index of 9 and over 88 publications, his work bridges theoretical advancements with practical implementations in transportation, energy systems, and telecommunications.

Research interests include developing efficient algorithms for constrained Markov decision processes, designing intelligent charging solutions for electric vehicles, and optimizing spectrum access in heterogeneous networks. His recent work explores safe reinforcement learning frameworks, dynamic routing of mobile charging stations, and leveraging large language models for AI accelerator design.

Selected media engagements include patents filed with JIS College of Engineering on energy systems and contributions to studies on nonlinear science dynamics. His research emphasizes real-world applications, with projects addressing urban traffic control, renewable energy integration, and competitive market modeling in telecommunications.

Collaboration networks span academia and industry, with active projects in India and the US focusing on sustainable energy, autonomous systems, and next-generation communication technologies.