Weina Wang
Scholar

Weina Wang

Google Scholar ID: mQnBkmoAAAAJ
Carnegie Mellon University
applied probabilitystochastic systemsperformance evaluationmachine learning
Citations & Impact
All-time
Citations
1,013
 
H-index
16
 
i10-index
25
 
Publications
20
 
Co-authors
24
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Recipient of the Dean’s Dissertation Award in the Ira A. Fulton Schools of Engineering at Arizona State University in 2016; recipient of the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS 2016; Best Paper Award at ACM MobiHoc 2022; NSF CAREER Award in 2022; ACM SIGMETRICS Rising Star Research Award in 2023.
Research Experience
  • Joined the Computer Science Department at Carnegie Mellon University as an Assistant Professor in Fall 2018. Previously, she was a postdoc at the University of Illinois at Urbana-Champaign and Arizona State University, working with Prof. R. Srikant and Prof. Lei Ying.
Education
  • Received her Ph.D. in Electrical Engineering from Arizona State University in 2016, advised by Prof. Lei Ying and Prof. Junshan Zhang; received her Bachelor’s degree from the Department of Electronic Engineering at Tsinghua University in 2009.
Background
  • Assistant Professor in the Computer Science Department at Carnegie Mellon University. Her research interests lie in the broad area of applied probability, with a focus on decision-making in large stochastic systems. She has worked on problems in queueing systems, bandits, and reinforcement learning. Her research also involves characterizing statistical and computational limits of large random graphs and data privacy.