Dr. Payel Sadhukhan is an accomplished academician and researcher with over 11 years of experience in teaching, research, and academic administration. She holds a Ph.D. in Computer Science with specialization in Machine Learning and Data Science from the Indian Statistical Institute, Kolkata, where she also completed her M.Tech in Computer Science. Her undergraduate degree is in Electronics and Communication Engineering from Techno India, Salt Lake, affiliated with MAKAUT.

Dr. Sadhukhan has been associated with reputed national and international academic institutions, including the Fields Institute for Research in Mathematical Sciences (Canada), Indian Statistical Institute Kolkata, TCG CREST, Techno Main Salt Lake, The Neotia University, and NITMAS. She has held various academic roles such as Post-Doctoral Researcher, Visiting Scientific Researcher, Part-Time Faculty, and Associate Professor across these institutions.

Her teaching portfolio encompasses a range of subjects aligned with the evolving needs of technology and analytics education, including Business Analytics, Python Programming, Big Data Analytics, Machine Learning, Discrete Mathematics, and Data Visualization.

Dr. Sadhukhan’s academic contributions have been recognized with several awards and accolades:

• Outstanding Paper Award at the West Bengal Regional Science Congress 2025 (Region 5)
• SERB-ANRF and AMCIS Inclusion Fund Grants to attend AMCIS 2024 in the USA
• Nominations for Best Paper Awards at ICAART 2023 and 2024
• Microsoft India Travel Grant for IJCNN 2019, Budapest
• Best Paper Award at the 4th Regional Science and Technology Congress (2019)
• Funded invitations to prestigious global events, including the Fields Institute’s Data Science Program (Toronto, 2022) and the Workshop on Big Data Visualization (2015)
• MHRD Fellowships for both her M.Tech and Ph.D. at ISI Kolkata

Dr. Sadhukhan’s research interests lie at the intersection of Explainable AI, applications of AI in finance and medicine, ethical and privacy concerns in AI, and social network analysis. She has published:

• 12 papers in SCI/SCIE-indexed journals (including publications in ABDC-A and ABDC-C listed journals)
• 12 conference papers, including two book chapters

In addition to research, she has actively contributed to student mentorship and academic outreach:

• Supervised a Master’s thesis and guided undergraduate internships
• Served as Track Chair for the Next Generation Information Systems track at the 2nd India Information Systems Conference (InCIS 2026) at IIM Ahmedabad
• Served as Area Chair at ICONIP 2025
• Invited speaker at FDPs hosted by Shri Ram College of Commerce (SRCC), New Delhi
• Program Committee Member for the Pacific Rim International Conference on Artificial Intelligence (2023–2025)

With a strong foundation in both theoretical and applied aspects of data science and artificial intelligence, Dr. Payel Sadhukhan continues to contribute significantly to academia, research, and interdisciplinary collaborations.