Mohamad Soltani

Assistant Professor, Alberta School of Business - Department of Accounting and Business Analytics


Assistant Professor, Alberta School of Business - Department of Accounting and Business Analytics
(780) 492-9958
4-21D Business Building
11203 Saskatchewan Drive NW
T6G 2R6



Mohamad Soltani is an Assistant Professor of Operations Management in the Department of Accounting and Business Analytics at the Alberta School of Business. He also holds an Honorary Fellow appointment with the Department of Emergency Medicine at the University of Wisconsin-Madison School of Medicine and Public Health.

His research interests lie in the empirical analysis of service operations, with a focus on healthcare operations. In particular, he employ data-driven approaches to uncover latent interactions between healthcare policy makers, service providers, and patients in order to provide a system perspective of health care delivery that ultimately impacts efficiency of services and quality of care. Mohamad's research has been published in prestigious academic journals such as Manufacturing & Service Operations Management (M&SOM). The Production and Operations Management Society (POMS) College of Healthcare Operations Management awarded him its Best Paper Award in 2020, and his research was a runner-up at the POMS College of Behavioral Operations Management Junior Scholar Paper Competition in 2022.

Mohamad received his PhD in Operations Management from the Wisconsin School of Business at the University of Wisconsin-Madison. He also holds Master of Science and Bachelor of Science degrees in Industrial Engineering from Amirkabir University of Technology (Tehran Polytechnic) and Isfahan University of Technology, both in Iran.

He teaches Predictive Business Analytics and Operations Management at the Alberta School of Business.


  • Healthcare operations management
  • Service operations management
  • Empirical studies in operations management
  • Data analytics


OM 502 - Operations Management

This course focuses on (1) the competitive advantage that a business unit can derive from innovative and efficient production and delivery of its goods and services and on (2) analytical approaches that are useful in understanding and improving an organization's operations. Specific modules include process diagramming and analysis; measuring and managing flow times; inventory control and optimization; supply chain coordination and operations strategy. Cases will be used to illustrate operational efficiency and its significance to the profitability of a firm. Prerequisite: MGTSC 501. Not to be taken by students with credit in MGTSC 502.

Winter Term 2023

OM 620 - Predictive Business Analytics

Application of predictive statistical models in areas such as insurance risk management, credit risk evaluation, targeted advertising, appointment scheduling, hotel and airline overbooking, and fraud detection. Students will learn how to extract data from relational databases, prepare the data for analysis, and build basic predictive models using data mining software. Emphasizes the practical use of analytical tools to improve decisions rather than algorithm details. Prerequisite: MGTSC 501.

Winter Term 2023

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