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 is a research scientist at the Shenzhen Research Institute of Big Data, where he has been working since 2021. He earned his Ph.D. in Process Systems Engineering from Carnegie Mellon University in 2020. His research focuses on integer programming, learning-based optimization, and grid optimization, and his work is supported the National Natural Science Foundation of China (NSFC), the Guangdong Basic and Applied Basic Research Foundation, the Shenzhen Science and Technology Program, and the National Key R&D Program of China. Dr. Wang has contributed to leading journals and conferences such as EJOR, ICLR, ICML, and NeurIPS. His achievements include securing first place in the primal track of the NeurIPS 2021 ML2CO competition and second place in the 2022 RAS Problem Solving Competition of INFORMS. In addition to his research, Dr. Wang serves as a reviewer for top journals and conferences, including NeurIPS, ICLR, and MPC.
