معرفی
Hai Wang serves as Professor in the Department of Finance, Information Systems, and Management Science at Saint Mary's University's Sobey School of Business, with an additional Adjunct Professor appointment in Dalhousie University's Faculty of Computer Science. His career progression from Assistant Professor (2004) to Associate Professor (2010s) to current full Professor demonstrates sustained academic impact within Canadian business education.
His educational foundation includes:
- B.Sc. in Computer Science, University of New Brunswick (1995)
- M.Sc. in Computer Science, University of Toronto (1997)
- Ph.D. in Computer Science, University of Toronto (2004)
Professor Wang's research integrates technical data science with business applications, featuring core interests in Big Data, Business Intelligence, and Knowledge Management. His work emphasizes practical implementation frameworks for enterprises, particularly focusing on Shared Services optimization and SME data analytics, while maintaining strong connections to Machine Learning and Database Management methodologies. This interdisciplinary approach bridges computer science rigor with business decision-making needs.
Analysis of his recent publications (2020-2023) reveals three dominant trajectories: (1) Knowledge Management applications in cybersecurity and small business contexts, (2) Pedagogical innovations in database and business analytics education (including no-code approaches), and (3) Predictive analytics for shared services operations. His work consistently demonstrates translational value from academic research to business practice.
His scientific recognition includes:
- Decision Sciences Journal of Innovative Education Best Teaching Brief Award (2011)
Research funding from NSERC supports his ongoing work, while his teaching portfolio spans foundational courses like Business Applications Programming and advanced topics including Business Intelligence and Data Visualization. His mentorship extends through course-based projects and textbook authorship, though formal doctoral advisees aren't documented in public profiles. Current course offerings (2023-2024) confirm active classroom engagement across undergraduate, MBA, and Master's programs.
Professor Wang maintains significant scholarly output through textbook development and conference leadership, with research increasingly addressing real-world challenges in business data ecosystems while advancing information systems education methodologies.
