Enayat Rajabi

Dr. Enayat Rajabi is an Associate Professor of Data Analytics at the Shannon School of Business, Cape Breton University, Canada. He also serves as an Adjunct Professor at Dalhousie University and is affiliated with Nova Scotia Health as a scientist. His academic journey included a Ph.D. in Information and Knowledge Engineering from the University of Alcalá, Spain, and he has contributed extensively to machine learning and semantic web domains.

Education:

• Ph.D. in Information and Knowledge Engineering, University of Alcalá, Spain (2015)
• Master of Software Engineering, Ferdowsi University of Mashhad, Iran (2004)
• Bachelor of Software Engineering, Razi University, Iran (2001)

Dr. Rajabi's research focuses on machine learning, knowledge engineering, and semantic web applications in healthcare and smart cities. His work explores explainable AI frameworks, knowledge graph construction, and data-driven solutions for sustainable transportation and clinical decision support systems.

His recent publications highlight trends in knowledge graph integration with large language models for healthcare, graph neural networks, and predictive analytics in urban environments. He has secured significant grants, including the NSERC Discovery Grant and Mitacs Research Training Award, to advance these domains.

Scientific Contributions:

• NSERC Discovery Grant (2020-2025) - Semantic Web Analysis over Nova Scotia Open Data ($156,000)
• New Health Investigator Grant (2022-2024) - Machine Learning for ALC Patients ($97,418)
• Mitacs Globalink ($4,250) - Graph Neural Networks
• CBU RISE grants for Explainable Clinical Decision Support Systems and Multi-Label Text Classification

Dr. Rajabi has mentored numerous research assistants across projects and maintains active collaborations with institutions in Canada, Spain, and Iran. His technical expertise spans Python, Tableau, Databricks, and PySpark, with teaching responsibilities in Predictive Analytics, Data Visualization, and Quantitative Methods.