Contact
Location
Rice Hall, Room 304 85 Engineer's Way

Chang Lou

Assistant Professor, Computer Science
Contact
Location
Rice Hall, Room 304 85 Engineer's Way
Personal Website Ph.D. Student Recruitment

About

Chang Lou is a tenure-track assistant professor in Department of Computer Science at University of Virginia. His research interests are distributed systems, operating systems, and cloud computing. His work centers on improving system reliability and availability. A major focus is enhancing the capabilities of cloud systems to detect, localize, and respond to complex failures during runtime. He has published multiple works on top system conferences including OSDI, NSDI, and ATC. His contributions received recognition including USENIX NSDI Best Paper Award in 2020 for his work on partial failures. In addition, his research on handling memory leaks in cloud infrastructure has been successfully deployed across millions of servers within Microsoft Azure.

News: Our lab has multiple Ph.D. student positions starting from Fall 2024. If you are interested in building/hacking systems, we should talk. Learn More

 

Education

Ph.D. Computer Science, Johns Hopkins University, 2023

B.S. Computer Science, Shanghai Jiao Tong University, 2016

Research Interests

Distributed Systems
Operating Systems
Cloud Computing
Software Reliability

Selected Publications

Demystifying and Checking Silent Semantic Violations in Large Distributed Systems. OSDI'22 Chang Lou, Yuzhuo Jing, Peng Huang
RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure. OSDI'22 Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin, Murali Chintalapati
Understanding, Detecting and Localizing Partial Failures in Large System Software. NSDI’20, Best Paper Award Chang Lou, Peng Huang, Scott Smith

Courses Taught

CS6501-015: Cloud System Reliability
CS4740: Cloud Computing

Awards

NSF CAREER Award 2024
ACM SIGOPS Dennis M. Ritchie Dissertation Award (Honorable Mention) 2023
USENIX NSDI Best Paper Award 2020