Control and Decision Systems

Research focused on developing techniques to create intelligent, autonomous, and networked dynamic systems that can operate predictably, efficiently, and reliably in complex environments. The primary theoretical areas of research include distributed and robust control, distributed optimization, robust and risk-adjusted optimization, system identification, game theory, nonlinear and adaptive control, and machine learning based control. The applications of interest include health care, mobile autonomous robots, security, multi-agent systems, cyber-physical systems, hydraulic systems, magnetic resonance systems, and power systems.

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The School of Electrical Engineering and Computer Science was created in the spring of 2015 to allow greater access to courses offered by both departments for undergraduate and graduate students in exciting collaborative research fields.

We offer B.S. degrees in electrical engineering, computer science, computer engineering and data science and graduate degrees (master's degrees and Ph.D.'s) in electrical engineering and computer science and engineering. EECS focuses on the convergence of technologies and disciplines to meet today’s industrial demands.

School of Electrical Engineering and Computer Science

The Pennsylvania State University

207 Electrical Engineering West

University Park, PA 16802


Department of Computer Science and Engineering


Department of Electrical Engineering