Chinwendu Enyioha, PhD
Electrical Engineering & Computer Science
University of Central Florida
Harris Engineering Center
+1 (407) UCF – 0122
My research group conducts basic and applied research in the areas of distributed optimization and control of networked dynamic and cyber-physical systems. Given the growth in the number of connected devices, the need for higher channel capacity for information flow, and critical/integral nature of modern technical system, the overarching research objectives are to develop efficient tools and techniques for decision making in large-scale resource-constrained systems. Application areas include Cyber-physical systems (CPS) such as energy/power systems and multi-robot teams.
- Communication-efficient optimization in distributed decision making
- Safety and security of CPS
- Learning-based control of dynamic processes on networks.
- Resource-aware control of Energy systems and emerging IoT networks.
While my research group regularly scouts for talented PhD and undergraduate students to join in our research projects, at this point, we are not recruiting graduate students.
Chinwendu Enyioha is an Assistant Professor in the EECS Department at the University of Central Florida (UCF). Prior to arriving UCF, he was a Postdoctoral Fellow in the EE Department at Harvard University and Tufts University. He completed the Ph.D. in Electrical and Systems Engineering at the University of Pennsylvania, supervised by George Pappas and Ali Jadbabaie, in the areas of networked dynamical systems, and cyber-physical systems. At Penn, Dr. Enyioha was affiliated with the GRASP (Robotics) Lab and the PRECISE Center.
Before that, he completed the BS in Mathematics (Summa Cum Laude) at Gardner-Webb University (GWU). Dr. Enyioha is a Fellow of the Ford Foundation, was named a William Fontaine Scholar at the University of Pennsylvania and has received the Mathematical Association of America Patterson award, amongst others. His research lies in the areas of optimization and resource-aware control of large-scale systems, with applications to multi-robot systems and cyber-physical networks.