Qing Zhao
Qing Zhao is an electrical engineer whose research spans machine learning, sequential decision theory and their applications in communication networks. She earned electrical-engineering degrees at Sichuan University, Fudan University and Cornell, then worked at Aware and UC Davis before joining Cornell in 2015. She coauthored a 2007 survey of dynamic spectrum access that received the IEEE Signal Processing Magazine Best Paper Award in 2010, and IEEE named her a Fellow in 2013. Her later research included active learning for traffic-event detection and a book on multi-armed bandits, and she is the Joseph C. Ford Professor of Engineering at Cornell.
- Now at
- Cornell University
- Badges
Timeline
-
1994–2001
Electrical engineering degrees
She earns a B.S. in electrical engineering from Sichuan University in 1994 and an M.S. from Fudan University in 1997. She completes a Ph.D. in electrical engineering at Cornell University in 2001.
-
2001–2015
From Aware to UC Davis
She works as a system engineer at Aware, Inc. from 2001 to 2003, then joins the Department of Electrical and Computer Engineering at UC Davis in 2004 and serves as a professor there through 2015.
-
2010
Dynamic spectrum access
In 2007, she coauthors “A Survey of Dynamic Spectrum Access” with Brian M. Sadler. The IEEE Signal Processing Society gives the paper its IEEE Signal Processing Magazine Best Paper Award in 2010.
-
2013
IEEE Fellow
IEEE elevates her to Fellow in 2013 for contributions to learning and decision theory in dynamic systems with applications to cognitive networking.
-
2018–2019
Chalmers active-learning project
During 2018–2019, she holds a Marie Skłodowska-Curie Fellowship and joins a Chalmers project on active learning for traffic-event detection. The project aims to teach a connected vehicle safety system to detect rare events. In 2019, she serves as a Jubilee Professor hosted by Chalmers' Electrical Engineering department.
-
2019
A book on multi-armed bandits
In 2019, she publishes Multi-Armed Bandits: Theory and Applications to Online Learning in Networks. The book covers Bayesian and frequentist bandit models and uses examples from communication networks and social-economic systems.
-
As of October 2026
Professor at Cornell
She is the Joseph C. Ford Professor of Engineering in Cornell's School of Electrical and Computer Engineering. She joins Cornell in 2015, and her research includes sequential decision theory, machine learning, stochastic optimization and algorithmic theory with applications in infrastructure, communications, and social-economic networks.
Career
- NowCornell UniversityJoseph C. Ford Professor of Engineering
- 2004–2015University of California, DavisProfessor
- 2001–2003Aware, Inc.System Engineer
- Chalmers University of TechnologyJubilee Professor
Education
- 2001Cornell UniversityPh.D.
- 1997Fudan UniversityM.S.
- 1994Sichuan UniversityB.S.
Sources and credits
Photo: We have no published photo of Qing Zhao yet. Send us a free-licensed photo.
- Qing Zhao
- Qing Zhao | Cornell Duffield Engineering
- 2010 IEEE Signal Processing Society Awards Announced
- IEEE Fellows 2010-2019
- Active Learning for event detection in large-scale information networks.
- Jubilee professors
- Markov Decision Theory and Reinforcement Learning – Qing Zhao
- Multi-Armed Bandits: Theory and Applications to Online Learning in Networks - Qing Zhao - Google Books
- Faculty and Staff | School of Electrical and Computer Engineering | Cornell Duffield Engineering
- Qing Zhao – Joseph C. Ford Professor of Engineering


