Nikolai Matni


Modern cyber-physical systems such as the Internet of Things, software defined networks and the smart-grid are large-scale, distributed, interconnected, and dynamic. While layered control architectures have become ubiquitous and arguably necessary in achieving predictable and desirable behavior, there is no general theory that offers a principled approach to their design. My research aims to address this gap by developing a theory that incorporates layering, dynamics, optimization and control into a unified framework. To do so, I draw heavily on tools from distributed optimal control and convex optimization: please see my research page for an overview of current research projects, and the talk below for an accessible introduction (aimed at a general audience) to some of the ideas behind my work.

Recent and Upcoming Travel

  • Aug 21-25: Bridging Continuous and Discrete Optimization Boot Camp at Simons Institute
  • Aug 7: InfoSymbiotics/DDDAS 2017 Conference at MIT
  • July 25: Living Machines 2017 Workshop at Stanford University
  • June 8: EECS Seminar at UC Berkeley
  • May 24-26: ACC in Seattle. Our paper on System Level Synthesis is the best student paper award winner!
  • May 23: EE Seminar at UW
  • May 21-22: SIAM Dynamical Systems in Snowbird

Job application material

I am currently on the academic job market: please find links to my application material below. I am happy to provide publication preprints and additional references upon request.


Research Overview

At a Glance