I am an assistant professor in the Department of Electrical and Computer Engineering at Northwestern University, where I direct the Intelligent Mobile and Embedded Computing (IMEC) Lab. We work on a variety of exciting problems in embedded AI, mobile and embedded systems, and smart health.
Our goal is to realize truly intelligent, health-aware, and safer environments by embedding intelligent percpetion and reasoning into common objects and devices found all around us and utilizing them in efficient ways to provide useful services and improve quality of life. Our work spans a number of domains, including cyber-physical systems, edge computing, signal processing, machine learning, data science, wearables, robotics, health, etc.
News: I am looking for motivated Ph.D. students beginning in 2024. If you’re interested, please send me an email (stephen.xia@northwestern.edu) with your CV, and I’d be happy to chat! I am also always on the lookout for motivated undergraduate and graduate students to work with; please reach out with your CV if interested.
Prior to Northwestern, I was a postdoctoral scholar in the Department of Electrical Engineering and Computer Sciences at UC Berkeley (2023), working with Prabal Dutta. I received the Ph.D. in Electrical Engineering from Columbia University (2022), working with Xiaofan Jiang, and the B.S. in Electrical Engineering from Rice University (2016).
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