About

Dr. Alok Singh Chauhan is a Professor in the School of Computing Science and Engineering at Galgotias University, India, with over 20 years of academic and research experience. He earned his Ph.D. in Computer Science, specializing in Educational Data Mining and Intelligent Data Analysis. He is also a Research Fellow at INTI International University, Malaysia, and a Postdoctoral Researcher at Kuala Lumpur University of Science and Technology, Malaysia. His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, Big Data Analytics, Digital Twins, Explainable Artificial Intelligence (XAI), Reinforcement Learning, Healthcare AI, Medical Imaging, Intelligent Decision-Support Systems, Predictive Analytics, Smart Cities, and Sustainable Intelligent Systems. An accomplished researcher and academic leader, Dr. Chauhan has published 57 Scopus- indexed research publications, including 6 Web of Science-indexed papers, in leading international journals and conference proceedings. His scholarly impact is reflected by a Google Scholar h-index of 15 and a Scopus h-index of 10. He has also authored book chapters with leading international publishers and holds multiple patents in the areas of Artificial Intelligence, healthcare technologies, and intelligent systems, demonstrating his commitment to translating research into practical technological innovations. His publications have contributed to advances in Artificial Intelligence, digital health, medical imaging, healthcare informatics, digital twins, predictive analytics, and intelligent computing..Dr. Chauhan actively contributes to the international research community as an Editorial Board Member of the Scopus-indexed journal Advance Sustainable Science, Engineering and Technology (ASSET), Indonesia. He also serves as a reviewer, keynote speaker, invited resource person, session chair, and technical program committee member for numerous international conferences, faculty development programmes, workshops, and academic events. He has successfully supervised postgraduate and doctoral research and continues to mentor scholars working in emerging areas of Artificial Intelligence and intelligent computing.

Services Offered

Skills

Publications

• "Kumar, S., Khan, W., Joshi, U. et al. Deep adaptive cryptographic video watermarking using hybrid DCT–SVD and CNN-based adaptive embedding. Sci Rep (2026). https://doi.org/10.1038/s41598-026-66530-0" https://www.nature.com/articles/s41598-026-66530-0.pdf#:~:text=Kumar%2C%20S.%2C%20Khan%2C%20W.%2C%20Joshi%2C%20U.%20et%20al.%20Deep%20adaptive%20cryptographic%20video%20watermarking%20using%20hybrid%20DCT%E2%80%93SVD%20and%20CNN%2Dbased%20adaptive%20embedding.%20Sci%20Rep%20(2026).%20https%3A//doi
• Comparative Study of Machine Learning Algorithms for Crystal Structure Predictive Modeling of Li-ion Battery Cathodes M Novita, AS Chauhan, RMD Ujianti, S Ristanto… - Journal of Data Science and Intelligent Systems, 2026

Projects Done

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