Dr. Brij Gupta
Research Faculty
Prof. Brij B. Gupta completed his PhD in Computer Science & Engineering from the Indian Institute of Technology Roorkee, India, in 2011. With over 18 years of professional experience, he has authored over 500 papers in journals and conferences, including 35 books and 12 patents, with over 27,000 citations. Prof. Gupta has received numerous national and international awards, including the Canadian Commonwealth Scholarship (2009), Faculty Research Fellowship Award (2017) from MeitY, Government of India, IEEE GCCE Outstanding and WIE Paper Awards, and the Best Faculty Award (2018 & 2019) from NIT KKR, respectively. He has been recognized as a Clarivate Web of Science Highly Cited Researcher in Computer Science (top 0.1% researchers globally) consecutively in 2022 and 2023 and has been included in Stanford University’s ranking of the world’s top 2% scientists consecutively in 2020, 2021, 2022, and 2023. Prof. Gupta is also a visiting/adjunct professor at several universities worldwide. He became an IEEE Senior Member in 2017 and was selected as the 2021 Distinguished Lecturer in IEEE CTSoc. Dr. Gupta serves as a Member-in-Large on the Board of Governors of the IEEE Consumer Technology Society (2022-2024). He currently serves as the Editor-in-Chief of IJSWIS, IJSSCI, STE, and IJCAC and leads a Book Series with CRC and IET press. He has also served as a TPC member for over 150 international conferences and as an Associate/Guest Editor for various journals and transactions. Prof. Gupta serves as the Director of the International Center for AI and Cyber Security Research and Innovations (CCRI) and holds the position of Distinguished Professor in the Department of Computer Science and Information Engineering (CSIE) at Asia University, Taiwan. His research interests include information security, cyber-physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media, and networking.
Selected Publications:
- Zhang, S., Hu, B., Liang, W., Li, K. C., & Gupta, B. B. (2023). A caching-based dual k-anonymous location privacy-preserving scheme for edge computing. IEEE Internet of Things Journal.
- Gupta, B. B., Gaurav, A., & Arya, V. (2023). Secure and Privacy-Preserving Decentralized Federated Learning for Personalized Recommendations in Consumer Electronics using Blockchain and Homomorphic Encryption. IEEE Transactions on Consumer Electronics.
- Gupta, B. B., & Lytras, M. D. (2022). Fog-enabled secure and efficient fine-grained searchable data sharing and management scheme for IoT-based healthcare systems. IEEE Transactions on Engineering Management.
- Zhou, Z., Gupta, B. B., Gaurav, A., Li, Y., Lytras, M. D., & Nedjah, N. (2022). An efficient and secure identity-based signature system for underwater green transport system. IEEE Transactions on Intelligent Transportation Systems, 23(9), 16161-16169.
- Gupta, B. B., Gaurav, A., Marín, E. C., & Alhalabi, W. (2022). Novel graph-based machine learning technique to secure smart vehicles in intelligent transportation systems. IEEE transactions on intelligent transportation systems.
Academic Profiles: https://scholar.google.com/citations?user=pxzB3EwAAAAJ&hl=en