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.
I am looking for new Ph.D. students, as well as UCF project students. If you are a highly motivated person, with a solid math background or have coding experience (implementing algorithms), and you are interested in research on distributed decision-making in autonomous systems, send me an email with your resume and share your research interests.
I am not looking for interns or other short-term visitors, unless you are a student at UCF and interested in our research activities.
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.