School of Computing and Informatics

Modeling and Simulation

Advances in modeling & simulation, grounded in disciplinary to transdisciplinary subject matters, are central in carrying out research in numerous computing and informatics topics. Modeling & simulation theories, flexible and high-performance software tools, and practices are indispensible in understanding and creating engineered and natural network systems. The objective of the modeling & simulation theme is to serve as a foundation and enabler for developing multi-scale, multi-purpose, data intensive computational models of complex systems. New kinds of hybrid simulated and physical systems make possible innovative simulation-based science and engineering in domains as diverse as supply-chain enterprises, command and control systems, environmental phenomena, and e-businesses.

Faculty Contacts: James Collofello, Huan Liu, Hessam Sarjoughian, Wei-Tek Tsai, Peter Wonka, Stephen S. Yau