Attend the Building the Future of Manufacturing: Intelligent, Secure and Autonomous Cyber-Physical Systems seminar, Sept. 5
Join the School of Manufacturing Systems and Networks for the Building the Future of Manufacturing: Intelligent, Secure and Autonomous Cyber-Physical Systems seminar.
Abstract
This seminar will provide an overview of research at the Cyber-Physical Manufacturing Systems Lab, or CyPhyMan Lab, at the University of Arizona, highlighting innovative approaches across smart manufacturing systems. Attendees will learn about key initiatives, including cybersecurity threat characterization, risk modeling and resilient detection and mitigation strategies for manufacturing cyber-physical systems; advanced data analytics for real-time detection and prediction of microstructural and process defects in additive manufacturing of nickel-based superalloys; process monitoring and optimization for hybrid additive-subtractive manufacturing; and autonomous data-driven quality control frameworks for continuous water treatment systems. The talk will also showcase the lab’s equipment and experimental capabilities, demonstrating how interdisciplinary research and emerging technologies are shaping the future of manufacturing with greater intelligence, security and autonomy.
About the speaker
Mohammed 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 Lab, or CyPhyMan Lab, and is an affiliate of the Interdisciplinary Program in Applied Mathematics. Shafae earned his doctoral and master’s degrees in industrial engineering from Virginia Tech in 2018 after completing his master’s and bachelor’s degrees at Alexandria University in Egypt. His research lies at the intersection of artificial intelligence, advanced manufacturing and cyber-physical systems. Shafae has led and contributed to several multi-institutional research initiatives supported by NASA, the U.S. Army Corps of Engineers and Arizona’s Technology and Research Initiative Fund, developing 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 industry leaders, including IBM, Honeywell, Lockheed Martin and Roche.
Building the Future of Manufacturing: Intelligent, Secure and Autonomous Cyber-Physical Systems
Friday, Sept. 5, 2025
11a.m.–noon
ISTB12 215, ASU Polytechnic campus [map]