Sameh Shamroukh

Department of ITDS
Clinical Associate Professor
Sameh Shamroukh

Dr. Sameh Shamroukh is a scholar and industry practitioner specializing in data analytics, supply chain analytics, and digital transformation. His work integrates academic research with extensive industry experience to apply advanced analytical methods to complex business and operational challenges.

He serves as a Clinical Associate Professor in the Information Technology and Decision Sciences (ITDS) Department at the G. Brint Ryan College of Business, University of North Texas, where he teaches graduate courses in data visualization, analytics fundamentals, sports analytics, and analytics capstone projects.

Prior to entering academia, Dr. Shamroukh held senior leadership roles in the technology and supply chain industry, working with organizations such as E2open, One Network Enterprises, Caterpillar Logistics, Ryder Systems, and Blue Yonder, where he led analytics, supply chain, and digital transformation initiatives.

Dr. Shamroukh holds a Ph.D. in Information Systems and Analytics from the University of Greater Manchester, an M.S. in Finance from Colorado State University, an M.S. in Industrial Engineering from Wayne State University, and a B.S. in Mechanical/Industrial Engineering from the American University. He is also a Project Management Professional (PMP) and a PMI Authorized Educator.

His research focuses on supply chain analytics, healthcare analytics, machine learning, digital transformation, and data visualization. He has published numerous journal articles and authored several books on supply chain analytics, healthcare analytics, and data-driven decision making, including a textbook on data visualization with Tableau. Dr. Shamroukh is proficient in a wide range of analytical and enterprise technologies, including Python, R, SQL, Tableau, Power BI, Qlik, Informatica, and cloud platforms such as AWS and Microsoft Azure. His work emphasizes applying analytics and artificial intelligence to solve complex business and operational problems.