Scholar
Reza Shokri
Google Scholar ID: udlZXXcAAAAJ
Google; NUS (on leave)
Citations & Impact
Citations
17,783
H-index
39
i10-index
60
Publications
20
Co-authors
88
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Intel's 2023 Outstanding Researcher Award; Asian Young Scientist Fellowship 2023; Best Paper Award at ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2023; NUS School of Computing Faculty Teaching Excellence Award 2023; Facebook Faculty Research Award 2021; IEEE Security and Privacy (S&P) Test-of-Time Award 2021; VMWare Early Career Faculty Award 2021; Intel Research Award (Private AI Collaborative Research Institute) 2021; NUS Presidential Young Professorship, 2019-2023; NUS Early Career Research Award 2019; Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies 2018; Swiss National Science Foundation Fellowship 2013; Runner-up for PET Award for Outstanding Research in Privacy Enhancing Technologies 2012.
Research Experience
- Currently an Associate Professor in the Computer Science Department at the National University of Singapore (NUS), leading the Data Privacy and Trustworthy Machine Learning Research Lab.
Background
- Research interests: data privacy and trustworthy machine learning. Designing methods to quantitatively measure the privacy risks of data processing algorithms, and building scalable, generalizable, and privacy-preserving, robust, interpretable, and fair machine learning models.
Miscellany
- Email: firstname@comp.nus.edu.sg; Twitter: @rzshokri; Phone: +65-651-64464; Office: COM2-03-60
