Specializations
- Generative AI and Responsible AI Governance
- Data Governance, Digital Literacy, and Information Technology
- Cloud Computing, Cybersecurity, and Emerging Technologies
Courses
- IMT 598 - Special Topics In Information Management
Biography
Dr. Oluwaseyi Mokuolu is a Guest Faculty Member at the University of Washington Information School, where he teaches graduate students how to implement, evaluate, govern, and manage Enterprise Generative Artificial Intelligence systems. His teaching integrates Responsible AI, Prompt Engineering, Retrieval-Augmented Generation, Model Evaluation, Cloud Architecture, and Organizational AI Strategy. In addition to his academic work, he is an AI Cloud and DevOps Engineer, supporting secure, scalable, cloud-native systems within the FinTech industry. Dr. Mokuolu is also an AI researcher and published scholar with expertise in AI, Cybersecurity, Data Governance, Machine Learning, and Emerging technologies.
Education
- Ph D, Information Technology, University of the Cumberlands
- MSC, Business Systems Integration (with SAP Technology), Brunel University London
- BSC, Computer Science with Economics, Obafemi Awolowo University
Publications and Contributions
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Journal Article, Academic JournalAchieving Data Privacy and Security in FinTech Cloud Computing EnvironmentsThe World Journal of Advanced Research and Reviews (WJARR), 23(3), pp. 251-255
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Journal Article, Academic JournalExploring the Nature of Generative Artificial Intelligence in Evolving Cyber ThreatsWorld Journal of Advanced Engineering Technology and Sciences (WAJETS), 12(2), pp. 914-917
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Journal Article, Academic JournalExtraction of Value and Impact from IoT-Generated Big Data Sets: A Qualitative Exploration of Current Methodologies and Future DirectionsInternational Journal of Science and Research Archive (IJSRA), 13(1), pp. 503-507
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Journal Article, Academic JournalReviewing the impact of artificial intelligence and machine learning in enhancing IoT applications performanceInternational Journal of Science and Research Archive (IJSRA), 12(2), pp. 2869–2872
