Chinwendu Enyioha

alt text=Image of Chinwendu Enyioha  Chinwendu Enyioha Ph.D.

Postdoctoral Fellow
Electrical Engineering
Harvard University


Chinwendu Enyioha is a Postdoctoral Fellow in the Department of Electrical Engineering at Harvard University, hosted by Vahid Tarokh and Na Li. He is also a Visiting Scientist at the Massachussets Institute of Technology. Prior to arriving Harvard, he was a Postdoctoral Researcher in Electrical & Systems Engineering at the University of Pennsylvnia, where he also completed his Ph.D. His doctoral research, supervised by George Pappas and Ali Jadbabaie, centered around problems in dynamical systems, Cyber-Physical Systems and contagion control over networks. While at Penn, he was affiliated with the GRASP Lab and the PRECISE Center.

Before that, he completed the BS in Mathematics (Summa Cum Laude) at Gardner-Webb University (GWU), and has held visiting summer research positions at the University of Minnesota, California Institute of Technology, and the Corporate research division of Robert Bosch GmbH in Stuttgart Germany; working on projects ranging from understanding network topologies to reliability analysis in engineering systems. Chinwendu has been accorded a number of research and academic awards including the Mathematical Association of America Patterson award and the GWU Scholastic Achievement award , amongst others. He is also a Fellow of the Ford Foundation and was named a Fontaine Scholar at the University of Pennsylvania.


My areas of research can be broadly defined as large-scale networked dynamic systems, encompassing limited-communication control, network security, distributed algorithms with applications to future energy systems and multi-agent systems. The fundamental question in my research is – how to design novel algorithms with performance guarantees to minimize the communication in coordinating (and controlling) distributed elements in large scale systems without compromising the system objectives. The overarching idea is to develop techniques and tools that enable efficient use bandwidth in massive systems or networks with stringent communication constraints; for example, coordinating a network of underwater robots, where communication infrastructure is little to non-existent.

Some of my past work developed tools and techniques for contagion control in networks and studied the interplay between spreading dynamics and properties of networks, as they affect control of epidemic processes. I have also studied problems on controllability of large networks and notions of reputation in networked systems.

You can see more on my current research here.


  • June '16: Mentored six high schoolers on summer research projects as part of the Army Research Office HSAP Program
  • March '16: Chalk talk at MIT Laboratory for Information and Decision Systems (LIDS) Tea Seminar Series.
  • January '16: Paper on Quantized Gradient Methods accepted to 2016 ACC .
  • January '16: Paper accepted to the 50th Annual CISS at Princeton University.
  • December '15: Invited to present my work at the 2016 ITA Workshop at University of California, San Diego.
  • September '15: Attended the IMA Annual Workshop on Distributed Control and Decision Making Over Networks.


Email: cenyioha 'at' seas + harvard + edu