Prof. Dr. Mohammad Husain is an accomplished academician, researcher, and IT professional with 35 years of experience in Information Technology academics, teaching, administration, and software development. Since July 2026, he has been serving as Dean Academics (Engineering) and Professor at the School of Management Sciences (SMS), Lucknow, India, where he is responsible for undergraduate teaching, academic supervision, institutional academic control, and monitoring academic activities.

Previously, he served for nearly 13 years as Professor in the Department of Computer Science, Faculty of Computer and Information Systems, Islamic University Madinah, Saudi Arabia (2013–2026). During his tenure, he contributed significantly to academic administration and accreditation activities, including heading the Faculty Affairs Committee for ABET and participating in NCAAA accreditation-related activities.

His earlier leadership positions include Director/Professor at Jahangirabad Institute of Technology and MG Institute of Management & Technology, Lucknow, as well as Director and Professor/HoD at Azad Institute of Engineering & Technology, Lucknow. His professional career also includes experience as a Computer Engineer and Software Engineer in Saudi Arabia and India, along with extensive teaching experience in computer science.

Research & Publications

Prof. Husain has established a substantial research record, with 97 journal publications and 96 publications in proceedings. His research and scholarly interests encompass Artificial Intelligence, Machine Learning, Data Mining, Cybersecurity, Cloud Computing, Internet of Things, Computer Vision, Distributed Systems, Blockchain, Explainable AI, and intelligent information systems.

He has authored and edited several books, including Principle of Programming Languages and Advances in Computer Vision and Information Technology. He has also contributed chapters to books published by internationally recognized academic publishers such as Taylor & Francis, Springer, IGI Global, De Gruyter, and River Publishers.

Research Projects & Innovation

Prof. Husain has supervised funded research projects at the Islamic University Madinah, including projects on document filtering in heterogeneous databases, web-based filtering and ranking systems, and date-palm crop prediction using artificial neural networks, with funding totaling SR 105,000 across the listed projects.

His innovation portfolio also includes a UK patent/design registration for an AI-powered autonomous drone for surveillance, demonstrating his contribution to applied artificial intelligence and technology development.

Academic Leadership & Professional Contributions

Beyond teaching and research, Prof. Husain has made significant contributions to academic administration, accreditation, curriculum development, institutional planning, and quality assurance. He has served on expert and program committees, faculty selection committees, entrance examination committees, and academic evaluation panels.

He has also contributed as a paper setter, evaluator, project evaluator, and technical/program committee member for various universities and professional conferences. His involvement with NBA, ABET, and NCAAA-related activities further reflects his experience in maintaining academic standards and accreditation processes.

Books, Chapters & Scholarly Impact

His scholarly contributions include multiple authored/edited books, nine documented book chapters, 97 journal publications, and 96 conference/proceedings publications. His recent publications demonstrate continued engagement with emerging technologies such as machine learning-based healthcare, cyber-resilience, explainable AI, blockchain, IoT security, cloud computing, virtual reality, and intelligent recommendation systems.

Eligibility for Most Promising Researcher Award 

Prof. Dr. Mohammad Husain is eligible for the Most Promising Researcher Award in Scientific Laurels in recognition of his 35 years of academic and professional experience, extensive research publications, funded research supervision, books and book chapters, technological innovation, patent contribution, and sustained leadership in computer science education and research. His interdisciplinary work spanning AI, machine learning, cybersecurity, data science, IoT, blockchain, and intelligent systems, together with his contributions to international academic and accreditation activities, demonstrates a strong and continuing commitment to research excellence and academic advancement.