Scholar

Ying Cui

Google Scholar ID: --WN2j4AAAAJ

University of California, Berkeley

Data scienceoptimizationdecision making under uncertaintylarge scale computation

Citations & Impact

All-time

Citations

757

H-index

i10-index

Publications

Co-authors

list available

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Mathematical Programming Meritorious Service Award, 2023
Finalist (as the faculty advisor), Dupacova-Prekopa Best Student Paper Prize in Stochastic Programming, 2023
Third Place, INFORMS Junior Faculty Interest Group (JFIG) Paper Prize, 2022
NSF CISE Research Initiation Initiative (CRII) Award, 2022
Best Problem-Driven Analytical Research Paper Award, 2021
First Place in Best Paper Competition, Post-Pandemic Supply Chain and Healthcare Management Conference, 2021
Runner-up of the POMS HOCM Best Paper Award, 2021
Louis Chen Hsiao Yun Best Dissertation Prize, National University of Singapore, 2016
Outstanding Graduate in Zhejiang Province, 2011
National Scholarship, 2010
Monograph: Modern Nonconvex Nondifferentiable Optimization (co-authored with Jong-Shi Pang, MOS/SIAM Series on Optimization)

Background

Assistant Professor, Department of Industrial Engineering and Operations Research, University of California, Berkeley
Research focuses on the mathematical foundation of data science with emphasis on optimization techniques for operations research, machine learning, and statistical estimation
Research interests include optimization models and computational methods for decision making under uncertainty, variational analysis for nonsmooth and/or semidefinite optimization, and efficient algorithms for stochastic programming and modern nonconvex optimization problems
Associate Editor for Mathematical Programming
Vice Chair of Nonlinear Optimization for INFORMS Optimization Society

Co-authors

15 total