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Systems and Decision Sciences

We develop computational solutions for the study of complex engineered and natural systems using scalable architecture-aware algorithms research coupled with innovations in mathematical and statistical methods.

Our vision is to achieve excellence in using architecture-aware high-performance computing, artificial intelligence, operations research, and the mathematical and statistical sciences to advance edge-to-center decision making capabilities for complex engineered systems and to develop state-of-the-art scalable solutions for the study of natural systems.




Group Leader, Systems and Decision Sciences Group
Sudip K Seal