Multiple PhD Student Openings

Chenyang Lu
Fullgraf Professor, Department of Computer Science and Engineering
Director, Cyber-Physical Systems Laboratory
Washington University in St. Louis

The Cyber-Physical Systems Laboratory (CPSL) has multiple openings for PhD students in the area of Internet of Medical Things and AI for healthcare. In the recent Computer Science Rankings, we are the top-ranked department in the area of real-time and embedded systems. In collaboration with Washington University School of Medicine, the new students will work on several clinical projects that leverage machine learning, wearables, and electronic health records (EHR) for predicting clinical outcomes and digital phenotyping. For more information, check out our recent talk and the following papers on this topic:

D. Li, P. Lyons, C. Lu, and M. Kollef, DeepAlerts: Deep Learning Based Multi-horizon Alerts for Clinical Deterioration on Oncology Hospital Wards, AAAI Conference on Artificial Intelligence (AAAI-20), February 2020.
D. Li, J. Vaidya, M. Wang, B. Bush, C. Lu, M. Kollef and T. Bailey, Feasibility Study of Monitoring Deterioration of Outpatients Using Multi-modal Data Collected by Wearables, ACM Transactions on Computing for Healthcare, 1(1), Article 5, March 2020.

CPSL students are a brilliant bunch! To learn about me, read this article. For more information, check out my home page and the CPSL wiki. If you aspire to invent cutting-edge technologies to revolutionize healthcare, please email me and apply to the PhD program in Computer Science at Washington University!

Biography: Chenyang Lu is the Fullgraf Endowed Chair Professor in the Department of Computer Science and Engineering at Washington University in St. Louis. His research interests include real-time systems, Internet of Things, and AI for healthcare. He served as Editor-in-Chief of ACM Transactions on Sensor Networks from 2001 to 2017 and Chair of IEEE Technical Committee on Real-Time Systems from 2018 to 2019. He is the author and co-author of over 230 research papers with over 23,000 citations and an h-index of 70. He received the Ph.D. degree from University of Virginia in 2001. He is a Fellow of ACM and IEEE.