معرفی
Dr. Samuel A. Ajila is an Associate Professor and Associate Dean in the Faculty of Engineering and Design at Carleton University, Canada. He holds a Ph.D. in Software Engineering and Knowledge-based Systems from the Université de Lorraine, France. His academic roles include teaching courses such as SYSC 5703 (Integrated Database and Cloud Systems) and SYSC 4120 (Software Architecture and Design). He is a P.Eng. in Ontario and a Senior Member of both IEEE and ACM.
His research focuses on Software Requirements Engineering, Cloud Resource Provisioning, and Machine Learning applications in Data Mining. He has co-authored over 50 publications in journals and conferences, emphasizing topics like federated learning for forest fire prediction and deep learning for air pollution forecasting. His work often bridges theoretical computer science with practical applications in cloud computing and environmental informatics.
- Education:
- B.Sc. (Computer Science) - University of Ibadan, Nigeria
- M.Sc. (Computational Mathematics) - Obafemi Awolowo University
- Ph.D. (Software Engineering) - Université de Lorraine
Dr. Ajila’s research trends span from foundational studies on software impact analysis (1990s) to modern applications of federated learning and spatio-temporal modeling. His recent work highlights collaborations on wildfire prediction using multi-source data and DDoS detection via time series transformers. He has been recognized for contributions to software engineering and cloud computing through IEEE and ACM fellowships.
- Grants & Advising: Active in collaborative research projects, though specific grant details are not listed here. Supervises graduate students in machine learning and cloud systems.
- Labs/Teams: Involved in the Carleton Systems and Computer Engineering (SCE) research group, focusing on cloud infrastructure and data-driven solutions.
