Laurent Lessard

Associate Professor,  Mechanical and Industrial Engineering
Affiliated Faculty,  Electrical and Computer Engineering

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Research Focus

control theory, linear systems, optimization algorithms, machine learning

About

Laurent Lessard’s research interests include control theory, large-scale/distributed systems, optimization, and machine learning. Prior to joining Northeastern in the Mechanical and Industrial Engineering department, he was a Charles Ringrose Assistant Professor of electrical and computer engineering at the University of Wisconsin–Madison. Dr. Lessard was born in Toronto, Canada. He completed his B.A.Sc. in Engineering Science from the University of Toronto, and received the MS and PhD in Aeronautics and Astronautics from Stanford University. He also did postdocs at Lund University (Sweden) and at Berkeley. He is a recipient of the Hugo Schuck best paper award and the NSF CAREER award.

Education

  • PhD, Aeronautics and Astronautics, Stanford University, 2011
  • MS, Aeronautics and Astronautics, Stanford University, 2005
  • BASc, Engineering Science, Aerospace Option, University of Toronto, 2003

Honors & Awards

  • National Science Foundation CAREER award, 2018

Professional Affiliations

  • IEEE
  • SIAM
  • INFORMS

Research Overview

control theory, linear systems, optimization algorithms, machine learning

Selected Research Projects

  • A Control-Theoretic Approach to Distributed Optimization
    Principal Investigator, National Science Foundation
  • Analysis and Design of Decentralized Control Systems in the Presence of Uncertain Latency
    Principal Investigator, National Science Foundation
  • CAREER: Automated Analysis and Design of Optimization Algorithms
    Principal Investigator, National Science Foundation

Selected Publications

  • A. Sundararajan, B. Van Scoy, L. Lessard, Analysis and Design of First-Order Distributed Optimization Algorithms Over Time-Varying Graphs,
    IEEE Transactions on Control of Network Systems, 2020, 1-1
  • B. Hu, P. Seiler, L. Lessard, Analysis of Biased Stochastic Gradient Descent Using Sequential Semidefinite Programs, Mathematical Programming, 2020, 1-26
  • L. Lessard, X. Zhang, X. Zhu, An Optimal Control Approach to Sequential Machine Teaching, International Conference on Artificial Intelligence and Statistics, 2019
  • B. Hu, L. Lessard, Dissipativity Theory for Nesterov’s Accelerated Method, International Conference on Machine Learning, 2017
  • L. Lessard, B. Recht, A. Packard, Analysis and Design of Optimization Algorithms Via Integral Quadratic Constraints, SIAM Journal on Optimization, 2016

Faculty

Sep 02, 2020

New Faculty Spotlight: Laurent Lessard

Laurent Lessard joins the Mechanical and Industrial Engineering department in August 2020 as an Associate Professor.

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