Chinwendu Enyioha
Associate Professor of Electrical & Computer Engineering, and Computer Science, University of Central Florida

Chinwendu Enyioha
Associate Professor of Electrical & Computer Engineering, and Computer Science, University of Central Florida

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Research Overview

My research seeks to understand how autonomous agents in large-scale systems can cooperate to make collective decisions under communication constraints. My group and I leverage tools from control, optimization and information theory to tackle problems on collective decisions. We are also interested in problems on learning for networked autonomous systems.

Our current interest is, in part, motivated by the fact that while communication is an enabling ingredient for large-scale distributed computing for control/estimation/learning, it is often constrained. hence the need to develop to develop efficient tools and techniques for computing 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.

Research Interests
  • Distributed optimization and control under communication constraints
  • Safety and security in networked autonomous systems
  • RL and learning-based control
Bio

Chinwendu Enyioha is an Associate 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 an inaugural Scholar in the Summer Early Career visiting Program at the KTH Royal Institute of Technology in Stockholm, Sweden, and received the National Science Foundation Faculty CAREER Award, amongst others. His research lies is at the intersection of resource-aware distributed optimization and learning-based control of large-scale systems, with applications to multi-robot systems and cyber-physical networks.