Bio
Dr. Yetunde Folajimi is an Associate Professor at Wentworth Institute of Technology, Boston, USA. With Ph.D. in computer science and research interests in artificial intelligence, educational games, recommender systems, machine learning, and natural language processing, she has about 20 years of experience teaching in higher institutions and has served as an advisor to over 100 undergraduate and graduate research work. She has worked with colleagues and students from diverse backgrounds in interdisciplinary fields all over the world, including the University of Ibadan and Nnamdi Azikiwe university in Nigeria, Wentworth Institute of Technology, Northeastern University USA, the University of Pittsburgh USA, the University of British Columbia, Canada, and De Montfort University, UK. She has served on the program committee of several conferences and peer-reviewed journals including ACM, Foundations of Digital Games, Grace Hopper, and Nigeria Computer Society. She has published over 50 publications that have been presented in highly ranked conferences and journals including ACM, Elsevier, IEEE, and Springer.
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She has received several recognitions, fellowships, grants, and awards from international organizations, including the MacArthur Foundation, Commonwealth of UK, The Institute of International Education (IIE) WeTech, and The Schlumberger Foundation. She is a Senior Member of the Association for Computing Machinery, a Fellow of the British Computer Society. She pioneered the Ibadan ACM Chapter where she was the Chapter Chair from 2012 to 2016. With a strong passion to promote diversity, inclusion, and belonging, she is committed to inclusiveness in the curriculum and in the classroom and implements strategies to motivate more girls and women into Computer Science. Dr. Folajimi founded and coordinates the Geek Girls Collaborative, a network of girls and women with the objective of empowering and motivating more African girls to be interested in Computer Science and technology. Through this platform, she has been impacting thousands of girls and women whom she mentors through summer camps, hackathons, and training programs annually. Aside from her academic, research, and outreach activities
Education
- Ph.D. Computer Science, University of Benin
- M.Sc. Computer Science, Nnamdi Azikiwe University
- B.Sc. Computer Science, University of Ado Ekiti
Teaching
Courses
- Computer Science II
- Natural Language Processing
- AI for Gaming
- Senior Project
Advising / Student Opportunities
- Wayne Williams
Research & Projects
Research interests
SkillGen (http://moon.cs.wit.edu/aimslab/skillgen/)
Selected Publications
- Folajimi, Y. (2025). Navigating the complexities of fibromyalgia research: An artificial intelligence-driven exploration. Journal of Medical Artificial Intelligence, 8, 29. https://doi.org/10.21037/jmai-24-106
- Isinkaye, F., Folajimi, Y., & Adeyemo, B. (2020). On collaborative filtering model optimized with multi-item attribute information space for enhanced recommendation accuracy. Intelligent Systems Technologies and Applications, 19(3).
- Isinkaye, F., Folajimi, Y., & Ojokoh, B. (2015). Recommendation systems: Principles, methods and evaluation. Egyptian Informatics Journal, 16(3), 261–273.
- Folajimi, Y. (2024). From GPT to BERT: Benchmarking large language models for automated quiz generation. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’24), pp. 312–313. https://doi.org/10.1145/3649409.3691090
- Jimenez Gil, M., Folajimi, Y., Othman, S., & Deligiannidis, L. (2025). Evaluating ensemble learning for robust real-time deepfake detection. In Proceedings of the 2025 International Conference on Large Language Models (LLM’25). Springer Nature. Las Vegas, NV, USA, December 3–5, 2025.
Full list: Google Scholar • DBLP