معرفی
Dr. Samuel Ajila is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University. His work bridges software engineering, cloud computing, and data science.
- Research Focus: Software Requirements Engineering, Model-Driven Development, Cloud Resource Provisioning, and Big Data Analytics.
- Technical Expertise: Network Traffic Analysis, Multi-tenancy Architecture, and Spatio-Temporal Modeling.
- Professional Affiliations: Licensed Engineer (P.Eng.) in Ontario, Senior Member of IEEE (SMIEEE), Senior Member of ACM (SMACM).
His recent publications highlight interdisciplinary applications of machine learning in forest fire prediction, DDoS detection, air pollution forecasting, and 5G handover management. Key themes include spatio-temporal modeling, transformer architectures, and few-shot learning. Notable methodological contributions involve agnostic sampling and meta-learning frameworks for imbalanced datasets.
Dr. Ajila’s career spans foundational work in aspect-oriented design, software architecture decomposition, and model transformation semantics, with recent expansions into cloud-native systems and explainable AI.
