Yiheng Xie
I am a first-year PhD student at Caltech, advised by Steven Low in the Department of Computing and Mathematical Sciences. My research focuses on the modeling, control and optimization of energy systems. I am currently building a campus-scale cyber-physical testbed at Caltech, including synchronized waveform and phasor measurement units and distributed energy resources. Our work provides a foundation for a variety of downstream applications such as real-time state estimation, topology & parameter estimation, transient event analysis, inverter control, carbon emission tracking and reduction, to name a few.
I completed my undergraduate studies in Computer Engineering at Brown University, where I worked on various topics in robotics, reinforcement learning, and 3D computer vision. I have also spent some time in the industry. In 2022, I worked on data-driven solutions to accelerate Rhode Island’s sustainable energy transition at AWS ETHOS Hub, a not-for-profit organization. I was a researcher at Unity Technologies for two years, building industry-leading 3D reconstruction pipelines. Prior, I worked in several start-up companies applying machine learning to problems in vision and natural languages.