WANG, Akang
POSITION/TITLE
Research Scientist at Shenzhen Research Institute of Big Data
RESEARCH FIELD
Integer Programming, Global Optimization, Learning to Optimize, and Grid Optimization
EDUCATION BACKGROUND
Carnegie Mellon University, PhD in Process Systems Engineering
Tianjin University, Bachelor of Science in Chemical Engineering
Nankai University, Bachelor of Arts in Finance
wangakang@sribd.cn
PERSONAL WEBSITE
https://akangw.github.io/
HONORS AND AWARDS
First place in the primal track of NeurIPS 2021 ML4CO, NeurIPS, 2021
Second place in the 2022 RAS Problem Solving Competition, INFORMS Railway Applications, 2022
BIOGRAPHY
Dr. Akang Wang joined Shenzhen Research Institute of Big Data in 2021 and is currently working as a research scientist. In 2020, he received his PhD degree in the area of Process Systems Engineering at Carnegie Mellon University, and his PhD thesis was focused on supply chain modeling and algorithms as well as global optimization. His current research interests include integer programming, global optimization, learning to optimize and grid optimization. Dr. Wang has published 9 journal/conference papers in Journal of Global Optimization, European Journal of Operational Research, ICLR, etc. He won the first place in the primal track of NeurIPS 2021 ML2CO competition and the second place in the 2022 RAS Problem Solving Competition of INFORMS. Besides, he served as reviewers for journals such as Integer Programming and Combinatorial Optimization, European Journal of Operational Research, Networks.
