Faculty Directory Prof. Sayantan Das
Prof. Sayantan Das

Prof. Sayantan Das

Assistant Professor

Academic Information

M.Tech 2023, Ph.D(PURSUING)

Research Interests

My research interests focus on Artificial Intelligence and Machine Learning, with particular emphasis on Graph Neural Networks, deep learning, and data-driven intelligence for real-world applications. I am interested in sentiment analysis and social media analytics, AI-based classification and pattern discovery, and computational intelligence for healthcare, including early disease detection and biomarker discovery. I also explore Generative AI and Bio-Digital Twins for rehabilitation and human-centric systems, along with security and encryption analysis. My work aims to develop scalable, explainable, and application-oriented AI models across interdisciplinary domains.

Courses Taught

DSA, CPP

Positions Held

Current Academic Position:

Assistant Professor, Institute of Engineering and Management (IEM), Kolkata (July 2023 – Present)

Industry / Consulting Experience:

Authorized Enumerator, CSE E-Governance Services India Limited – 7th Economic Census (October 2019 – April 2020)

Teaching Assistant, Institute of Engineering and Management (IEM), Kolkata (March 2022 – June 2023)

Publications

“Taxonomic Delineation of Musical Genres through Computational Paradigms : An Exploration Employing the K-Nearest Neighbors (KNN) Algorithm” in Proceedings of the Fifth International Conference on Emerging Trends in Mathematical Sciences & Computing (IEMSC-24) and book chapter in Scrivener Wiley edited book. https://doi.org/10.1007/978-3-031-71125-1_11
“Comparative Performance Analysis of Security Encryption Algorithms” Proceedings of the Fifth International Conference on Emerging Trends in Mathematical Sciences & Computing (IEMSC-24) and book chapter in Scrivener Wiley edited book. https://doi.org/10.1007/978-3-031-71125-1_12 “AI-Driven Classification and Biomarker Discovery in Alzheimer's Disease: Toward Early Detection and Therapeutic Insight” in CRC Press, Taylor & Francis Group. “Bio-Digital Twins for Rehabilitation Using Generative AI” in CRC Press, Taylor & Francis Group.