Hello! I am Iman, a Ph.D. candidate in the Department of Electrical and Computer Engineering at UC Santa Cruz. My research interests are Stochastic Control, Hybrid Systems, and Convex Optimization. I am working under the supervision of Abhishek Halder.

I enjoy hiking, watching movies, playing piano, surfing, and running in my free time.

Preprint

• A.M. Teter, I. Nodozi, and A. Halder , Solution of the Probabilistic Lambert Problem: Connections with Optimal Mass Transport, Schrödinger Bridge and Reaction-Diffusion PDEs

• I. Nodozi, and A. Halder , Wasserstein Consensus ADMM

2023

• A.M. Teter, I. Nodozi, and A. Halder , Proximal Mean Field Learning in Shallow Neural Networks, Transactions on Machine Learning Research

• I. Nodozi, C.Yan, M. Khare, A. Halder, and A. Mesbah , Neural Schrödinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assembly, IEEE Transactions on Control Systems Technology

• Charlie Yan, Iman Nodozi, and Abhishek Halder, Optimal Mass Transport over the Euler Equation, CDC 2023

• Iman Nodozi, Abhishek Halder, and Ion Matei , A Controlled Mean Field Model for Chiplet Population Dynamics, IEEE Control Systems Letters (also in CDC 2023)

• I. Nodozi, J. O'Leary, A. Mesbah, and A. Halder, A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly, ACC 2023

   Invited paper in Session 'Learning and Stochastic Optimal Control'

2022

• Iman Nodozi, and Ricardo G. Sanfelice, A Mixed Integer Approach for the Solution of Hybrid Model Predictive Control Problems, CDC 2022

• Iman Nodozi, and Abhishek Halder, Schrödinger Meets Kuramoto via Feynman-Kac: Minimum Effort Distribution Steering for Noisy Nonuniform Kuramoto Oscillators, CDC 2022

• Iman Nodozi, and Abhishek Halder, A Distributed Algorithm for Measure-valued Optimization with Additive Objective, Mathematical Theory of Networks and Systems (MTNS) 2022

   Invited paper in Session 'Optimal transport: Theory and applications in networks and systems'

2020

• Iman Nodozi, and Mehdi Rahmani, LMI-based robust mixed-integer model predictive control for hybrid systems, International Journal of Control, 93(10), pp. 2336-2345, 2020

2017

• Iman Nodozi, and Mehdi Rahmani, LMI-based model predictive control for switched nonlinear systems, Journal of Process Control, 59, pp. 49-58, 2017

2015

• Mehdi Rahmani, and Iman Nodozi, Phase‐locked loops redesign by the Lyapunov theory, Electronics Letters, 51(21), pp. 1664-1666, 2015