Faculty Researchers

University of Michigan:  Leadership and Researchers

Arizona State University:  Leadership and Researchers 

University of Michigan:  Other Faculty Researchers

Many other faculty at the University of Michigan could participate in the center, including:

Xun Huan, Associate Professor, Mechanical Engineering.  Computational methods of uncertainty quantification and machine learning for complex systems in science, engineering, and medicine through the use of a rigorous framework of mathematics and statistics together with computational feasibility and scalability.

Raed Al Kontar, Associate Professor, Industrial & Operations Engineering.  Data analytics and decision-making methodologies specifically tailored for the Internet of Things (IoT) enabled smart and connected systems.

Z. Morley Mao, Professor, Electrical Engineering and Computer Science. Cyber security and data infrastructure for network-based and distributed systems.

Siqian Shen, Professor, Industrial and Operations Engineering. Stochastic programming and robust optimization for the design, implementation, and management of resilient supply chain networks.

Arizona State:  Other Faculty Researchers

Many other faculty at Arizona State could participate in the center, including:

Farhad Ameri, Associate Professor, School of Manufacturing Systems and Networks (SMSN). Neuorosymbolic AI, knowledge representation and reasoning, ontology engineering, and semantic interoperability in smart manufacturing, and digital supply chains.

Zhengtao Gan, Assistant Professor, SMSN. Multiscale modeling and multiphysics-resolved digital twin in advanced manufacturing.

Shenghan Guo, Assistant Professor, SMSN. AI models and AI applications in human-centric smart manufacturing;  specializes in handling real data from manufacturing applications, particularly those with complex properties, such as in-situ thermal video and multi-sensory data streams.

Ashif Iquebal, Assistant Professor, School of Computing and Augmented Intelligence (SCAI). Stochastic inverse modeling, active learning, physics-informed learning, and graphical models for accelerating materials characterization and qualification, discovering process physics, and generating causal inference.

Feng Ju, Associate Professor, SCAI. Stochastic modeling, machine learning, and optimization for smart manufacturing, including additive manufacturing, semiconductor manufacturing systems, and supply chain. 

Rong Pan, Professor, SCAI. Statistical modeling learning for predictive modeling and anomaly detection in manufacturing; applications of digital twins for 3D printing process improvement and statistical process control and optimization in manufacturing.

George Runger, Professor, SCAI. Machine learning and statistical methods with a focus on system analysis with high-dimensional, complex, and streaming data.