Jake Roth

rothjakem[at]gmail.com
google scholar
github
linkedin
I'm a PhD student in the ISyE department at the University of Minnesota where I'm fortunate to be advised by Dr. Ying Cui. Previously, I was a pre-doc working in Dr. Mihai Anitescu's group at Argonne National Laboratory studying rare events in power networks. Prior to that, I worked on image reconstruction problems with Dr. Emil Sidky as a statistics MS student at the University of Chicago. And long ago, I was an undergrad at Claremont McKenna College.

I'm broadly interested the ways that mathematics can help us communicate and make decisions. Currently, I'm interested in studying computational mathematics for optimization problems involving uncertainty.

Publications

Drafts

Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction
Jake Roth, Ying Cui
pdf| abstract| cite| code

On O(n) Algorithms for Projection onto the Top-k-sum Constraint
Jake Roth, Ying Cui
pdf| abstract| cite| code

Journal Articles

A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure
Jake Roth, David A. Barajas-Solano, Panos Stinis, Jonathan Weare, Mihai Anitescu
SIAM Multiscale Modeling and Simulation, 2021
pdf| abstract| cite

Failure Probability Constrained AC Optimal Power Flow
Anirudh Subramanyam, Jake Roth, Mihai Anitescu
IEEE Transactions on Power Systems, 2023
pdf| abstract| cite


Conference Proceedings

Parameter selection with the Hotelling observer in linear iterative image reconstruction for breast tomosynthesis
Sean D. Rose, Jake Roth, Cole Zimmerman, Ingrid Reiser, Emil Y. Sidky, Xiaochuan Pan
SPIE, 2018
pdf| abstract| cite

Talks

  • March 2021 (SIAM CSE 2021, Invited) Computational methods for rare events in power systems
  • August 2020 (MACSER Optimization Series) Cascade-constrained optimal power flow|pdf
  • March 2020 (SIAM UQ 2020, Invited) Distribution of cascading power network failure severity
  • February 2020 (UChicago Lunch Seminar) Conjugate gradients tutorial |pdf
  • April 2019 (ANL LANS Seminar) Cascading failures and energy landscapes for power systems |pdf

  • May 2018 (UChicago MS Presentation) Toy model for distributionally robust optimization |pdf
    • Claremont McKenna College
    2009 - 2013
    University of Chicago
    2016 - 2018
    MCS @ Argonne
    2018 - 2020
    University of Minnesota
    2020 - Present

    Source: thanks to Sebastin Santy for the theme.