Dr. Kingshuk Srivastava is a Professor of Computer Science with 16+ years of experience spanning academic leadership, administration, teaching, research, and institution-building. He specializes in Artificial Intelligence and Machine Learning, with strong expertise in applied AI, data analytics, and emerging areas such as intelligent decision systems and AI-driven assessment models. Over the years, he has contributed significantly to curriculum delivery, faculty development, research mentoring, and academic governance, and is known for simplifying complex concepts for diverse learner groups.
Dr. Srivastava brings strong administrative experience in academic planning, departmental coordination, and quality-driven institutional processes. He has also worked closely with IQAC-related frameworks, supporting academic audits, outcome-based education implementation, documentation, and continuous quality improvement initiatives aligned with NAAC and NBA expectations.
He has contributed to strategic initiatives such as the design and planning of a High-Performance Computing (HPC) facility to strengthen advanced research and hands-on learning on campus. He has also been associated with funded and applied research initiatives, including projects focused on MSME financial health monitoring, creditworthiness assessment, and AI-based training gap identification.
In addition to teaching and research, he regularly serves as a speaker and resource person for FDPs and interdisciplinary workshops on AI tools, meta-learning, and research proposal development. His professional interests include responsible AI, climate-resilient AI strategies, and real-world AI adoption in education and industry.