Journal of Artificial Intelligence and Digital Health

Taiwo Blessing Ogunseyi obtained his master's degree in Information Science from the University of Ibadan, Nigeria and his doctorate in Communication and Information Systems from the Communication University of China. He has received an award for an outstanding research paper given by the China Society of Motion Picture & Television Engineers (CSMPTE). He is a recipient of the High-Level Foreign Talent Award of Sichuan Province. He has published multiple academic papers in reputable journals and he serves as a reviewer for several journals. Currently, He is an Assistant Professor at the School of Electronic and Information Engineering, Yibin University. His research interests include Applied Cryptography, Information Security, Data Privacy, Cybersecurity, Digital Forensics, Network Security, Privacy Enhancing Technologies (PETs), Machine Learning and Artificial Intelligence.

• Cybersecurity
• Applied Cryptography
• Information Security
• Data Privacy
• Artificial Intelligence & Machine Learning
• Digital Forensics
• Intrusion Detection Systems
• Recommender Systems
• Network Security
• Privacy-Preserving Technologies

1. Reviewer for IEEE Access, IEEE Transactions on Network and Service Management, ACM Computing Surveys, Springer Cluster Computing, Journal of Big Data, PLOS ONE, Wiley Security & Privacy, Hindawi journals.
2. Cybersecurity Research Unit Coordinator – Organization of African Academic Doctors (OAAD)
3. Delivered academic lectures on cybersecurity, social engineering, GenAI threats, Industry 4.0, digital safety, and password hygiene.
4. Presenter at international conferences (IEEE ICPICS, ICCCS, WiMNET, SmartTechCon, AAFS).
5. Member: IEEE, Internet Society (Cybersecurity SIG), Project Management Institute (PMI).
6. TEFL certified; Cisco Cybersecurity Pathway certified.

1. Explainable LSTM-Based Intrusion Detection System Optimized by Firefly Algorithm for IoT Networks (Sensors, 2025)
2. Cryptographic Techniques for Data Privacy in Digital Forensics (IEEE Access, 2023)
3. A Systematic Review of Privacy Techniques in Recommendation Systems (2023)
4. Privacy-Preserving Matrix Factorization for Cross-Domain Recommendation (IEEE Access, 2021)
5. A Privacy-Preserving Framework for Cross-Domain Recommender Systems (Computers & Electrical Engineering, 2021)
6. Securing and Facilitating Communication Within Opportunistic Networks (IEEE Access, 2021)
7. Fast Decryption Algorithm for Paillier Homomorphic Cryptosystem (IEEE ICPICS, 2020)
8. Cloud Computing Usance among SMEs: Comparative Analysis of China & Nigeria (SmartTechCon, 2017)