معرفی
Dr. Mohamad El-Hajj is an Associate Professor in the Department of Computer Science at MacEwan University. He holds a PhD from the University of Alberta (2006) and a Master's from the Lebanese American University (1998). His research focuses on applying data mining techniques to real-world domains such as healthcare, engineering, education, and sports analytics. His expertise spans databases, data warehousing, AI, parallel programming, and e-learning systems.
Educational Background
- PhD in Computer Science, University of Alberta (2006)
- M.Sc. in Computer Science, Lebanese American University (1998)
- Bachelor's in Computer Science, Beirut Arab University (Lebanon)
Research Interests
Dr. El-Hajj specializes in leveraging data mining for practical applications. His work bridges computational methods with societal challenges, including health informatics (e.g., predicting user behavior in health apps), sports analytics (e.g., NBA performance modeling), and urban data analysis (e.g., traffic patterns and crime prediction). He also explores parallel computing and database optimization for large-scale datasets.
Recent Trends in Publications
His recent work emphasizes interdisciplinary applications: 2023–2025 articles address smart grid energy profiling, sports strategy optimization, and pandemic policy analysis. Earlier contributions (2003–2017) focus on foundational data mining algorithms, including parallel pattern mining and constraint-based techniques.
Professional Engagement
He actively participates in conferences like IEEE ICDM and ACS/IEEE AICCSA. His teaching includes courses on database systems and data mining methodologies.
Advising & Collaboration
Open to supervising senior student research projects, though no current advisees are listed. No grants or lab affiliations explicitly mentioned.
