Dr. Yinsong Wang （王音淞）
Contact: ywang4542 at gatech dot edu
About Me & My Research
I am a postdoctoral fellow at the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology.
My research focuses on enabling the future of data-driven, closed-loop scientific, operational, and engineering systems.
I study three fundamental pillars of learning systems—approximation theory, estimation theory, and optimization theory—with an emphasis on addressing the challenges of efficiency, multimodality, and adaptability.
These efforts have led to practical applications in manufacturing automation, human-machine collaboration, and wireless communication.
News & Updates
Academic Job Market: I am currently on the academic job market and open to tenure-track faculty opportunities.
Upcoming Conference: I will be attending the 2026 INFORMS Optimization Society Conference in Atlanta, GA.
I will be presenting our recent work, "Understanding Measure Consistency Regularization via Neural Distance Penalty".
If you would like to learn about how ideas from optimal transport and minmax optimization could explain the effectiveness of imputation and semi-supervised learning, please consider attending the talk!
Education
Postdoctoral Fellow
Georgia Institute of Technology | H. Milton Stewart School of Industrial and Systems Engineering
Co-advisors: Dr. Yu Ding, Dr. Xiao Liu
Ph.D. in Industrial Engineering
Northeastern University | Advisor: Dr. Shahin Shahrampour
Ph.D. Candidate in Industrial Engineering
Texas A&M University | Advisor: Dr. Shahin Shahrampour
M.S. in Manufacturing Systems Engineering and Management
The Hong Kong Polytechnic University
B.Eng. in Mechanical Engineering
Shandong University