Chinwendu Enyioha

Chinwendu Enyioha serves as Assistant Professor in the Department of Electrical and Computer Engineering at the University of Central Florida (UCF), leading the Autonomous and Intelligent Systems research group.

His academic journey includes:

• PhD from the University of Pennsylvania
• Postdoctoral Fellowships at Harvard University and Tufts University
• Postdoctoral Research at GRASP Lab, University of Pennsylvania

His research pioneers communication-efficient algorithms for distributed decision-making in large-scale networked systems, with significant contributions to dynamical process control in population networks and autonomous system optimization. Current work focuses on enhancing computational efficiency for distributed learning frameworks.

Scientific recognition includes:

• Ford Foundation Fellowship
• William Fontaine Scholar award at Penn

Research funding is secured through:

• National Science Foundation grants
• Air Force Research Laboratory contracts
• Caltech Jet Propulsion Lab collaborations
• Industry partnerships with L3Harris and CAE USA Corporations

He is currently collaborating with Prof. Carlo Fischione's team at KTH Royal Institute of Technology on distributed learning algorithms. His UCF research group develops foundational theories for intelligent networked autonomous systems with applications in critical infrastructure and multi-agent robotics.