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Anupam Das

Budge Budge Institute of Technology, Brainware University, KIIT University, AMITY UNIVERSITY

Research areas: Neuroscience · Cognitive Neuroscience · Autism Spectrum Disorder Research · Emotion and Mood Recognition · Artificial Intelligence in Healthcare

ORCID iD 0000-0003-1687-4004
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About

Dr. Anupam Das is an academician and researcher in Computer Science & Engineering with over 15 years of experience in teaching, research, and academic administration. He holds a Ph.D. in Artificial Intelligence (Machine Learning) from KIIT Deemed to be University, Bhubaneswar, under the Visvesvaraya Ph.D. Scheme, sponsored by the Ministry of Electronics and Information Technology (MeitY), Government of India. He is currently serving as an Assistant Professor in the Department of Computer Science & Engineering at Budge Budge Institute of Technology (BBIT). Prior to joining BBIT, he was associated with Brainware University after completing his Ph.D. He has also held academic positions at reputed institutions, contributing to teaching, research, academic administration, and student mentoring. He possesses over 15 years of academic, research, and administrative experience across reputed institutions. Prior to joining KIIT, he served as a Faculty member in the Department of Computer Science & Engineering at Amity University Kolkata (2015–2023), where he was actively involved in teaching B.Tech, BCA, and MCA programs. His roles extended beyond teaching to include Coordinator of the AMITY–CII Innovation Centre, Coordinator of the CODIFICA Coding Club, core member of the University Examination Cell, and member of the NAAC accreditation team, reflecting his strong engagement in academic leadership and institutional development. Earlier, he worked as an Assistant Professor and Head of the Department of Computer Applications at ABS Academy of Science Technology & Management, Durgapur (2011–2015), gaining valuable experience in academic administration, curriculum delivery, and faculty coordination. Mr. Das’s research focuses on AI-driven healthcare, particularly early Autism Spectrum Disorder (ASD) detection using Machine Learning, Deep Learning, and multimodal data (EEG and facial images). His work includes hybrid ML–DL models, CNN–Transformer architectures, and optimization techniques, and he is currently extending his research towards quantum computing and quantum machine learning, aligning with the emerging technological era. He has authored 30+ research publications in Scopus-indexed journals and IEEE international conferences, including IEEE Access, IJCDS, IJECE, ICDAI, ICCCNT, INCET, ISACC, and other reputed venues. He is also the author of a textbook titled “Windows Programming using Visual C++ and Allied Languages”, published by SCITECH Publications (ISBN: 9789385983559), which is widely used as a reference for undergraduate computer science education. In addition, he is a design patent holder of two UK-registered innovations: (i) Wearable Robotic Exoskeleton for Disabled (UK Design No. 6300690, granted in 2023), focusing on assistive healthcare technologies, and (ii) Autism Detection Computer Device for Children in Classrooms (UK Design No. 6457587, granted in 2025), aimed at AI-driven early autism screening in educational environments. His research excellence has been recognized with the Best Poster Award at the KIIT Annual Research Summit 2025, awarded among all university researchers across disciplines, selected from over 720 scholars. Additionally, he received an award at the 22nd ICDCIT 2025 for his research on secure federated learning in autism detection. With a strong foundation in Machine Learning, Deep Learning, Computer Vision, EEG analytics, graph-based data modelling, and optimisation, Anupam Das continues to pursue impactful research aimed at developing accurate, scalable, and real-time AI-driven diagnostic systems, particularly for neurodevelopmental and healthcare applications.

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Publications (5)