Who Am I?

I am a Ph.D. candidate in Electrical Engineering at Columbia University, advised by Professor James Anderson. Previously, I completed my Master of Applied Science at the University of Waterloo, where I was supervised by Professor Ravi Mazumdar. I was awarded both the Graduate Research Studentship (GRS) and the International Master’s Award of Excellence (IMAE). I received my Bachelor’s degree in Electrical Engineering from Sharif University of Technology in Tehran, Iran, graduating with distinction.

Research Interests

I am broadly interested in stochastic analysis and its applications to:

• Theoretical machine learning
• Control theory
• Optimization

Selected Publications

• [7] Applying Linear Parameter-Varying Model Predictive Current Control to an Enhanced WRSM Model
  Maxfield Parson-Scherban, Kasra Fallah, Navid Rahbariasr, Peng Wang, Bernard Steyaert, James Anderson, Matthias Preindl

  IEEE/CCAE Symposium on Advanced Electrification Systems (SAES 2026), to appear in IEEE Xplore

• [6] Multitask LQG Control: Performance and Generalization Bounds
  Leonardo F. Toso *, Kasra Fallah *, Charis Stamouli *, George J. Pappas, James Anderson

  Accepted at the 65th IEEE Conference on Decision and Control (CDC 2026)

• [5] On the Unification of Optimal Current Reference Theory for Wound Rotor Synchronous Machines
  Maxfield Parson-Scherban, Kasra Fallah, Navid Rahbariasr, Bernard Steyaert, James Anderson, Matthias Preindl

  Accepted at the 65th IEEE Conference on Decision and Control (CDC 2026)

• [4] NeuralFieldManifold: Reconstruction of LFP manifold with Lag Embedding
  Kasra Fallah *, Haoyu Novak Chen, Rudramani Singha, Eunji Kong, Gergely Turi, Attila Losonczy, Erfan Zabeh *

  arXiv preprint, under review (2026)

• [3] Adversarially Robust Multitask Adaptive Control
  Kasra Fallah *, Leonardo F. Toso *, James Anderson

  Proceedings of the 8th Annual Learning for Dynamics & Control Conference (L4DC 2026), PMLR, 2026

• [2] On the Gradient Domination of the LQG Problem
  Kasra Fallah, Leonardo F. Toso, James Anderson

  arXiv preprint, under review (2025)

• [1] On the Calculation of Mutual Information for Channels with Gauss-Markov Noise
  Kasra Fallah

  University of Waterloo, 2024

Note: * indicates first/co-first author.

Mentorship

• Quinkun Li — M.S. Applied Mathematics, Columbia University (now Ph.D. IEOR, NUS)
• William Celline — M.S. Applied Mathematics, Columbia University (Column N.A.)
• Aaron Cherian — M.S. Electrical Engineering, Columbia University

Honors and Awards

• Xuemin Shen Graduate Scholarship in Telecommunication, University of Waterloo (2023)
• International Master’s Award of Excellence (IMAE), University of Waterloo (2022 & 2023)
• Graduate Research Studentship (GRS), University of Waterloo
• Gold Medalist, National Physics Olympiad (IRPHO), Iran (2017)

Collaborators

My research focuses on decision-making over stochastic time-series data at the intersection of control theory, optimization, machine learning, motor systems, and neuroscience.
I have been fortunate to collaborate with faculty, postdoctoral researchers, students, and research scientists across these areas.

Professors

• James Anderson — Department of Electrical Engineering, Columbia University
  Coauthor on [2], [3], [5], [6], [7]

• George J. Pappas — Department of Electrical and Systems Engineering, University of Pennsylvania
  Coauthor on [6]

• Matthias Preindl — Department of Electrical Engineering, Columbia University
  Coauthor on [5], [7]

• Attila Losonczy — Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center
  Coauthor on [4]

• Gergely Turi — University of Texas Southwestern Medical Center
  Coauthor on [4]

Postdoctoral Researchers

• Peng Wang — Department of Electrical Engineering, Columbia University
  Coauthor on [7]

• Eunji Kong — Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center
  Coauthor on [4]

• Erfan Zabeh — Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University
  Coauthor on [4]

Research Scientists

• Navid Rahbariasr — Associate Research Scientist, Department of Electrical Engineering, Columbia University
  Coauthor on [5], [7]

PhD Students

• Leonardo F. Toso — Department of Electrical Engineering, Columbia University
  Coauthor on [2], [3], [6]

• Charis Stamouli — Department of Electrical and Systems Engineering, University of Pennsylvania
  Coauthor on [6]

• Maxfield Parson-Scherban — Department of Electrical Engineering, Columbia University
  Coauthor on [5], [7]

• Bernard Steyaert — Department of Electrical Engineering, Columbia University
  Coauthor on [5], [7]

Other Collaborators

• Haoyu Novak Chen — Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center
  Coauthor on [4]

• Rudramani Singha — Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center
  Coauthor on [4]

Teaching Experience

I have over five years of teaching experience, starting as a coach for the International Physics Olympiad (IPhO) and later serving as Head Teaching Assistant across multiple institutions.

Columbia University

• EEME E6601: Introduction to Control Theory — Head TA
• EEME E6602: Modern Control Theory — Head TA

University of Waterloo

• ECE 307: Probability Theory and Statistics 2 — Head TA

Sharif University of Technology

• Probability Theory — Head TA
• Mathematics for Engineering — Head TA (2 terms)

• Signals and Systems — Head TA (2 terms)

Service

• Leadership: Electrical Engineering Ambassador 2026 @ Columbia University
• Reviewer (Control Community)
  • conferences: IEEE Conference on Decision and Control (CDC), American Control Conference (ACC), Learning for Dynamics & Control (L4DC)
  • Journals: IEEE Transactions on Information Theory (TIT), IEEE Transactions on Automatic Control (TACON)
• Reviewer (CS/ML Community)
  • conferences: NeurIPS, ICML