I am a Postdoctoral Scholar in the Department of Electrical Engineering and Computer Sciences at UC Berkeley supervised by Dr. Prabal Dutta and Dr. Xiaofan Jiang. I received the Ph.D. in Electrical Engineering from Columbia University (2022), and the B.S. in Electrical Engineering from Rice University (2016).

My vision is to realize truly intelligent, health-aware, and safer environments by embedding intelligence into common objects and devices found all around us. I develop techniques and systems that jointly leverage signal processing and established physical models to guide the development and training of data-driven machine learning methods to yield solutions, services, and applications that are robust, yet capable of running continuously and in real-time, on resource-constrained platforms. My research bridges the gap between systems, signal processing, and machine learning, as well as contributes to areas in embedded systems, mobile edge computing, Internet-of-Things, artificial intelligence, data science, and digital health.

Selected Publications

AvA: An Adaptive Audio Filtering Architecture for Enhancing Mobile, Embedded, and Cyber-Physical Systems
Stephen Xia and Xiaofan Jiang
ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2022

CSafe: An Intelligent Audio Wearable Platform for Improving Construction Worker Safety in Urban Environments
Stephen Xia, Jingping Nie, and Xiaofan Jiang
ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2021

Improving Pedestrian Safety in Cities using Intelligent Wearable Systems
Stephen Xia, Daniel de Godoy, Bashima Islam, Md Tamzeed Islam, Shahriar Nirjon, Peter R. Kinget, Xiaofan Jiang
IEEE Internet of Things Journal, 2019