Cassie Jeng
cassie 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 Neural Networks (PINNs) for modeling and control of physical systems governed by hyperbolic partial differential equations (PDEs). My current projects focus on large-scale traffic networks and shallow water flow systems.
about me
- I earned my B.S. in Systems Engineering and B.S. in Computer Engineering from Washington University in St. Louis in 2023
- I completed my M.S. in Electrical Engineering at Washington University in St. Louis in 2023, advised by Dr. Neal Patwari
- I furthered my M.S. research in wireless testbeds at the University of Utah, also advised by Dr. Neal Patwari
- I love art: making my own jewelry, decorations, gifts & cards, accessories
- Hiking is my happy place & I have a National Parks bucket list
- I am an avid rock climber
- I have lived in five different time zones
- Yoga & coffee to start the morning
research
[In-progress] Analyzing the Reliability of Digital Twin Channel Impulse Response Predictions
Comparative study analyzing the ability of ray tracing digital twins to predict characteristics and behaviors of signals in an enclosed 5G network using channel impulse response (CIR) measurements.
Jeng, Cassie
University of Utah, 2025
WATCH: A Distributed Clock Time Offset Estimation Tool for Software-Defined Radio Platforms
Jeng, Cassie and Patwari, Neal
IEEE INFOCOM - CNERT Workshop, 2024
WATCH: A Distributed Clock Time Offset Estimation Tool on the Platform for Open Wireless Data-Driven Experimental Research
Jeng, Cassie
McKelvey School of Engineering Theses & Dissertations, 2023
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