Dr. Soharab Hossain Shaikh is a Professor in the Department of Computer Science and Engineering at BML Munjal University with nearly two decades of experience in academia, research, and AI-driven innovation. He specializes in Applied Artificial Intelligence, Generative AI, Computer Vision, Deep Learning, and Natural Language Processing, with a strong focus on developing practical and socially impactful AI solutions. He received his Ph.D. in Computer Science and Engineering from the University of Calcutta and was awarded the Gold Medal for securing first rank in his M.Tech. program.
Dr. Shaikh’s research spans Generative AI; Agentic AI orchestration, alignment and safety; video understanding and surveillance; and Natural Language Processing for Indian languages. His recent work explores trustworthy autonomous AI agents and multi-agent systems, supported through Google Cloud research credits for frontier research in AI alignment and safety. He has also contributed extensively to industry-oriented AI applications, particularly in workplace safety and surveillance systems using Deep Learning and Computer Vision.
He has authored more than 40 refereed research publications in reputed international journals and conferences, including venues published by Springer and IEEE. His research contributions include Generative-AI powered multi-agent systems, AI alignment and safety, Transformer-based architectures for temporal action localization, dense video captioning, Bengali language processing, word sense disambiguation, and intelligent surveillance systems. He has also jointly supervised four Ph.D. scholars working in areas related to Computer Vision, and NLP.
Dr. Shaikh holds a US patent and has contributed to books and book chapters published by reputed international publishers such as Springer, CRC Press, and Edward Elgar Publishing.
Dr. Shaikh teaches a wide range of undergraduate Computer Science courses spanning both foundational and emerging areas of AI and computing. His teaching portfolio includes Generative AI and Large Language Models (LLMs), Agentic AI, Deep Learning, Machine Learning, Applied Data Science, Artificial Intelligence, Design and Analysis of Algorithms, Data Structures and Algorithms, and Object-Oriented Programming. He has also taught postgraduate M.Tech. programs at the University of Calcutta and has been associated with several leading EdTech organizations in India, mentoring industry professionals through advanced training programs in Deep Learning and applied AI technologies.
In addition to research and teaching, Dr. Shaikh has been actively involved in professional and academic leadership activities. He is a member of the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and serves as a Program Committee Member for several reputed international conferences, including AGENTICS 2026, VISAPP 2026, ICAART 2026, ICSBT 2026, and ICEIS 2026. He has delivered invited talks and hands-on workshops on Generative AI, Agentic AI, GraphRAG, and Retrieval-Augmented Generation for academia and industry audiences, while also mentoring students and researchers in advanced AI and Machine Learning technologies.
Apart from research and teaching, Dr. Shaikh is passionate about music composition and song writing and enjoys creative exploration beyond technology.
