Parth Paritosh
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Postdoctoral Fellow |
Brief Bio
I received my PhD degree in Engineering Sciences at University of California San Diego, working with advisors Sonia Martinez and Nikolay Atanasov. Prior to this, I received my Master's degree from Purdue University ( 1, 2 ), and Bachelor's degree from Indian Institute of Technology Guwahati. Some of my work with undergraduate students and interns at MURO lab is mentioned here.
Research
My research has focused on generating real-time autonomous decision-making capabilities in networked systems. In particular, my work aims to address several aspects of provably correct distributed estimation and optimization in networked systems, such as accuracy, efficiency, approximations and privacy.
News
June 2026: Our paper ‘‘Privacy-Preserving Distributed Maximum Likelihood Estimation via State Decomposition" was accepted at IEEE Transactions on Signal Processing (TSP).
April 2026: Our paper ‘‘Normalizing Flow for Two-Sample Hypothesis Testing: Improved Uncertainty Representation but Not Necessarily More Power" was accepted at the 2026 International Conference on Information Fusion (ICIF).
Feb-Mar 2026: Gave talks titled ‘‘Scalable & Trustworthy Inference in Networked Mission-Critical Systems" at IIT Gandhinagar, IISc Bengaluru, and IIT Hyderabad.
Dec 2025: Attending the IEEE Conference on Decision and Control (CDC) to present our paper ‘‘Distributed Variational Inference for Online Supervised Learning," published in IEEE Transactions on Control of Network Systems (TCNS).
Teaching
Teaching assistant for Cooperative Controls [MAE 247 syllabus], Spring 2023: Graded homework solutions and held office hours.
Additional teaching assistant MAE 242, Fall 2022: Discussion sessions and coding tutorials for motion planning.
Teaching assistant for Robot Motion Planning [MAE 242 syllabus], Spring 2022: Prepared homework solutions, created programming assignments, autograders and held office hours.
Teaching assistant for Introduction to Mathematical Analysis [MAE 289A syllabus], Fall 2021: Prepared homework solutions, and held office hours.