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Draft:Defeng Sun

From Wikipedia, the free encyclopedia
Defeng Sun
NationalityChinese
Alma materNanjing University
Chinese Academy of Sciences
AwardsThe Beale--Orchard-Hays Prize for Excellence in Computational Mathematical Programming 2018 by the Mathematical Optimization Society]

Fellow of the Society of Industrial and Applied Mathematics (2020)

Inaugural Fellow of China Society of Industrial and Applied Mathematics (2020)

RGC Senior Research Fellow Award 2022/23
Scientific career
FieldsOptimization and Machine Learning
InstitutionsDepartment of Applied Mathematics, The Hong Kong Polytechnic University
Doctoral advisorJiye Han (Chinese name: 韩继业)

Defeng Sun (Chinese name: 孙德锋) is a Chinese applied mathematician and operations researcher. He holds the position of Chair Professor of Applied Optimization and Operations Research, and has been serving as the Head of Department of Applied Mathematics since 2019, and the Director of the Research Centre for Intelligent Operations Research (2024 - present) at The Hong Kong Polytechnic University (PolyU). Sun had also served as the President of The Hong Kong Mathematical Society in 2020-2024.

Education

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Sun received his Ph.D. degree in 1995 from Chinese Academy of Sciences in Beijing under the supervision of Professor Jiye Han (Chinese name: 韩继业), after obtaining his bachelor’s and Master’s degree from Nanjing University in 1989 and 1992, respectively.

Research

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Sun’s research interests lie in the areas of non-convex continuous optimization and machine learning including mathematical theory, algorithmic developments and real-world applications.

Sun is recognized for his 2006 work characterizing the strong regularity of nonlinear semidefinite programming[1] and his software SDPNAL/SDPNAL+ for general purpose semidefinite programming[2]

References

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  1. ^ Sun, Defeng (2006). "The Strong Second Order Sufficient Condition and Constraint Nondegeneracy in Nonlinear Semidefinite Programming and Their Implications". Mathematics of Operations Research. 31 (4): 761-776. doi:10.1287/moor.1060.0195.
  2. ^ Yang, Liuqin; Sun, Defeng; Toh, Kim Chuan (2015). "SDPNAL+:amajorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints". Mathematical Programming Computation. 7 (3): 331-366. doi:10.1007/s12532-015-0082-6.