Jared F. Miller

Convex Optimization, Nonlinear Systems, Control Theory, (Semi) Algebraic Geometry


I am a Research Assistant (5th year PhD student) at the Robust Systems Laboratory in Northeastern University. I am currently involved in a joint collaboration between Northeastern University and the Methods and Algorithms for Control team of LAAS-CNRS (Toulouse, FR), sponsored by a Chateaubriand Fellowship, where I am jointly supervised by Mario Sznaier (Northeastern) and Didier Henrion (LAAS-CNRS). My thesis topic involves peak estimation and safety analysis (e.g. speed of a car, height of an aircraft, distance to an obstacle) through the use of occupation measures. My other branch of research involves data-driven control, including the setting in which nontrivial input and measurement noise lead to bilinearities (error-in-variables).

I received a Bachelors (EE) and a Masters (EE/CE) degree from Northeastern University in 2018. I have always been interested in applied mathematics and PDEs, and was introduced to control theory and sparsity during my co-op at ASML (Veldhoven, NL) in 2016. I learned about convex optimization as part of Mario Sznaier’s course Big Data, Sparsity, and Control in 2017, for which I later became a teaching assistant.


Jan 25, 2023 I will be presenting a poster at an ICERM workshop on Discrete Optimization
Jan 19, 2023 The paper “Data-Driven Gain Scheduling Control of Linear Parameter-Varying Systems using Quadratic Matrix Inequalities” with M. Sznaier was accepted to both ACC 2023and IEEE Control Systems Letters (L-CSS).
Jan 19, 2023 I will be participating in a SIAM DS23 Minisymposium to discuss polynomial optimization methods for time-delay systems.
Jan 13, 2023 I will be defending my PhD Thesis on April 3, 2023 at 10:00 EST
Dec 19, 2022 My service as a Teaching Assistant for Machine Learning and Pattern Recognition (EECE 5644, Fall 2022 taught by Prof. David Brady) has concluded.

selected publications

Journal Articles

  1. LCSS
    Data-Driven Gain Scheduling Control of Linear Parameter-Varying Systems using Quadratic Matrix Inequalities
    Miller, Jared, and Sznaier, Mario
    IEEE Control Systems Letters 2022
  2. AUT
    Decomposed structured subsets for semidefinite and sum-of-squares optimization
    Automatica 2022

Conference Articles

  1. CDC
    Peak Estimation for Uncertain and Switched Systems
    Miller, JaredHenrion, DidierSznaier, Mario, and Korda, Milan
    In 60th IEEE Conference on Decision and Control (CDC) 2021


  1. Data-Driven Stabilizing and Robust Control of Discrete-Time Linear Systems with Error in Variables
    Miller, JaredDai, Tianyu, and Sznaier, Mario
    Preprint 2022
  2. Bounding the Distance to Unsafe Sets with Convex Optimization
    Miller, Jared, and Sznaier, Mario
    Preprint 2021