Mark Leung

Mark Leung is a Professor of Management Science and the Associate Dean for Undergraduate Studies at the University of Texas at San Antonio (UTSA), Carlos Alvarez College of Business, Department of Management Science & Statistics. He has been a faculty member at UTSA since 1999, establishing himself as a prominent researcher and educator in operations management and business analytics.

• University: University of Texas at San Antonio
• College: Carlos Alvarez College of Business
• Department: Department of Management Science & Statistics
• Position: Professor and Associate Dean for Undergraduate Studies

Leung's research spans multiple domains at the intersection of operations research, finance, and artificial intelligence. His primary research interests include business forecasting and modeling, financial market and investment strategies, neural network and artificial intelligence techniques in business and data mining, and supply chain and operations management. His work demonstrates a consistent focus on applying advanced quantitative methods to solve complex business problems, particularly in financial engineering and operational optimization.

His recent publications reveal a strong emphasis on machine learning applications for financial hedging, particularly in energy markets, where he has developed innovative cross-learning machine approaches that outperform traditional methods. Leung has also published extensively on supply chain optimization, auction bidder behavior, and production system management.

• Col. Jean Migliorino and Lt. Col. Philip Piccione Endowed Research Award (2001)
• University of Texas System Chancellor's Council Outstanding Teaching Award (2002, 2005)
• University of Texas System Regents' Outstanding Teaching Award (2013)
• Endowed 1969 Commemorative Award for Overall Faculty Excellence (2016)
• Undergraduate Research Faculty Mentorship Award (2018)

As Associate Dean for Undergraduate Studies, Leung has played a significant role in shaping business education at UTSA. His teaching excellence has been consistently recognized through multiple awards including the All-Star Professor Award (2013-2016) and the Best Undergraduate Professor Award (2012). He teaches across all levels (undergraduate, graduate, and doctoral) in business forecasting, production and service operations, supply chain management, and applied business statistics.

Leung's research program demonstrates strong industry relevance, particularly in financial engineering applications where his work on machine learning approaches for energy market hedging has provided practical solutions for risk management. His collaborations with researchers across multiple disciplines have resulted in a substantial publication record in high-quality journals.