JENG
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Cassie Jeng

Emailcassie dot jeng at berkeley dot edu

Hi! I'm a PhD student in Electrical Engineering & Computer Sciences (EECS) @ the University of California, Berkeley. I am working with Professor Alexandre Bayen, researching physics-informed machine learning methods for modeling and controlling physical systems governed by hyperbolic partial differential equations (PDEs). My current projects explore operator-learning techniques for approximating large-scale traffic networks and shallow water flow systems.

about me

research

CIR Comparison Plot

Analysis of Digital Twin Channel Impulse Response Predictions

Over-the-air Channel Impulse Response Tutorial on POWDER, University of Utah, 2025

Jeng, Cassie and Patwari, Neal

IEEE RFID - NRDZ Workshop, 2026

WATCH Timing Plot

WATCH: A Distributed Clock Time Offset Estimation Tool for Software-Defined Radio Platforms

Jeng, Cassie and Patwari, Neal

IEEE INFOCOM - CNERT Workshop, 2024

Binary Classification

Boxing Punch Classifier using Embedded Machine Learning

Ang, Kai, Jeng, Cassie, and Pestcoe, Leandre

McKelvey School of Engineering - Electrical & Systems Engineering Senior Capstone Design, 2023