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
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.
At a Glance
name Nikolai Matni
location Caltech, Pasadena, California
Position Postdoctoral scholar in Computing and Mathematical Sciences
Advisor John C. Doyle
Research interests Architecture Design, Layering, Convex Optimization, Distributed Optimal Control, Software Defined Networking, Sensorimotor Control, System Identification
Collaborators Venkat Chandrasekaran, Ao Tang, Anders Rantzer, Andrew Lamperski, James Anderson, Vanessa D. Jonsson, Matanya Horowitz, Seungil You, Yuh-Shyang (Mickey) Wang, Yorie Nakahira, Richard M. Murray, Joel Burdick