Kuangyu Ding
Scholar

Kuangyu Ding

Google Scholar ID: xtBCGEsAAAAJ
Purdue University
Stochastic OptimizationDistributed Optimization
Citations & Impact
All-time
Citations
52
 
H-index
5
 
i10-index
2
 
Publications
9
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Publications can be found in Google Scholar.
Research Experience
  • Currently a Postdoctoral Research Associate in the School of Industrial Engineering at Purdue University (West Lafayette), working with Prof. Gesualdo Scutari. Prior to this, in 2024, a postdoctoral research fellow in the Department of Mathematics at the National University of Singapore (NUS), working with Prof. Kim-Chuan Toh.
Education
  • Received B.S. from the Department of Mathematics at Nanjing University in 2019; obtained Ph.D. in Mathematics from NUS in December 2023 under the supervision of Prof. Kim-Chuan Toh.
Background
  • Research Interests: Stochastic Optimization, Distributed Optimization. Professional Field: Development, analysis, and implementation of stochastic and distributed optimization algorithms for problems in machine learning, deep learning, operations research, and engineering, aiming to bridge theoretical advances with practical solutions.