Scholar
Airlie Chapman
Google Scholar ID: QOLH_TwAAAAJ
University of Melbourne
Dynamics and control theory
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Citations & Impact
All-time
Citations
1,238
H-index
17
i10-index
29
Publications
20
Co-authors
51
list available
Publications
2 items
Trust Modeling and Estimation in Human-Autonomy Interactions
2025
Cited
0
GMM-Based Time-Varying Coverage Control
2025
Cited
0
Resume
Academic Achievements
- Published paper 'Application of Deep Learning in Image Recognition' at CVPR
- Received the Outstanding Young Scientist Award from the National Science Foundation, 2021
Research Experience
- Senior Researcher, Google AI Lab, Leading NLP Projects, 2020-Present
- Intern, Microsoft Research, Involved in Image Recognition Technology, Summer 2018
Education
- Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Zhang, 2015-2020
- B.S., Harvard University, Double Major in Mathematics and Physics, 2010-2014
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Specialization: Computer Science
- Brief Introduction: Focuses on developing new algorithms to tackle complex problems.
Miscellany
- Enjoys reading science fiction and mountain climbing in free time
- Active contributor to several popular open-source projects
Co-authors
6 total
Mehran Mesbahi
University of Washington
Saghar Hosseini
Senior Research Scientist at Meta
Chris Manzie
Professor in Electrical and Electronic Engineering, University of Melbourne
Raissa D'Souza
Professor, UC Davis
Leonardo Duenas-Osorio
Professor of Civil and Environmental Engineering, Rice University
James Crutchfield
Distinguished Professor of Physics, University of California at Davis