Mohammed Shafae

Dr. Mohamed Shafae is an Assistant Professor in the Department of Systems and Industrial Engineering at The University of Arizona, where he directs the Cyber-Physical Manufacturing Systems (CyPhyMan) Lab and is an affiliate of the Interdisciplinary Program in Applied Mathematics. Dr. Shafae earned his Ph.D. and M.S. degrees in Industrial Engineering from Virginia Tech in 2018, after completing his M.Sc. and B.Sc. degrees from Alexandria University in Egypt.

His research lies at the intersection of Artificial Intelligence, advanced manufacturing and cyber-physical systems. Dr. Shafae has led and contributed to several multi-institutional research initiatives with combined funding exceeding $10 million, supported by NASA, the U.S. Army Corps of Engineers, and Arizona’s Technology and Research Initiative Fund, where he has helped develop machine learning methods for monitoring and quality assurance of metal additive manufacturing in aerospace applications; cyber-physical systems security tools for risk assessment, prevention, detection, and mitigation; and AI-driven autonomous water treatment and reuse systems for decentralized resilient infrastructure. He has also collaborated on applied research projects with a wide range of industry leaders, including IBM, Honeywell, Lockheed Martin, and Roche.

Focus areas:

Smart Manufacturing Systems, Process monitoring and control, cyber-physical systems security, and process and product design optimization.