معرفی
Dr. Kehinde Babaagba is a Lecturer at the School of Computing (Edinburgh Napier University), specializing in cybersecurity, machine learning, and evolutionary computation. She holds a PhD in Computing and has contributed to malware analysis, AI-driven solutions for real-world challenges, and cybersecurity defense mechanisms. Her research emphasizes metamorphic malware detection, generative adversarial networks (GANs), and federated learning privacy.
- Education:
- BSc (Hons) Computer Science (First Class), Redeemers University, Nigeria
- MSc Computing Information Engineering (Distinction), Robert Gordon University
- PhD in Computing, Edinburgh Napier University
- Research Interests: Transfer learning, computer vision, cybersecurity applications of AI, evolutionary algorithms
- Awards:
- Outstanding Contribution Award (Evo* 2020)
- Best Paper (3rd Place, IEEE DSC 2022)
- Excellent Oral Presentation (ACM ICEIT 2019)
- Professional Roles:
- IEEE Member (Women in Engineering, Computational Intelligence)
- STEM Ambassador
- Associate Fellow of Advance HE
Her recent work includes developing adversarial learning frameworks for malware evolution prediction and enhancing federated learning models for privacy compliance. She actively contributes to conferences as a reviewer and organizer, including roles as Finance Chair (IEEE DSC 2022) and Publication Chair (EvoAPPS 2022).
