Dahye Han

Hello! I am a Ph.D. candidate in Operations Research at Georgia Institute of Technology. I am fortunate to be advised by Dr. Santanu Dey.

I am interested in the design and analysis of algorithms for quadratically constrained quadratic programs and, more generally, mixed-integer nonlinear programs. My research advances convex relaxation techniques and solution methodologies to provide stronger optimality guarantees and faster feasibility detection. I apply these methods to problems arising from applications such as power systems and structural engineering. I am also interested in integrating machine learning with optimization to accelerate algorithmic decisions.

In addition to my PhD study, I spent the summer of 2025 at Amazon and developed machine learning-based filtering algorithm to optimize staff assignment models for Amazon’s fulfillment centers, improving operational efficiency.

Prior to joining Georgia Tech, I obtained A.B. in Mathematics from Washington University, St. Louis in 2015. Then, I worked as a Senior Analyst at NERA Economic Consulting until 2020.

Beyond research, I like to swim, play piano, explore nature and eat good food.

You can reach me at dahye.han [at] gatech.edu.

(upcoming!) 2025 KAIST ISE Winter Symposium
- Eliminating nonconvexity through regularization