Dan PEI

Dan PEI is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University. He joined the department in 2012 and holds a Ph.D. in Computer Science from UCLA, where his dissertation was titled 'On Resilient Internet Routing.' His research interests include AIOps (AI for Technology Operations of Networking and IT systems) and Time Series Intelligence. He has contributed to several IEEE ISSRE best paper awards and has been involved in numerous conferences and editorial roles. Dan PEI's work has also led to the founding of the AIOps Challenge Algorithm Competition and the CCF OpenAIOps community.

Dan Pei is an Associate Professor of Computer Science at Tsinghua University, specializing in AIOps and Time Series analysis. His research focuses on developing advanced methods for anomaly detection in multivariate time series data, particularly in web applications and microservice systems. He explores unsupervised techniques such as variational auto-encoders and deep Bayesian networks to identify anomalies in unstructured logs and seasonal KPIs. Additionally, his work addresses BGP-related issues, including prefix hijacks, root cause localization, and improving BGP convergence. Pei's research also extends to recommendation systems and causal inference for fault diagnosis in cloud environments.