Sangmin Lee, industrial PhD student
Sangmin is employed as an industrial PhD student from 1 February 2022, working with the department's Insurance and Economics Section and the shipping company Maersk.
Sangmin's PhD project is carried out in collaboration between Maersk and UCPH, and its main objective is to design the global liner shipping network more efficiently and eco-friendly using a statistical machine learning method – approximate dynamic programming (ADP). Specifically, he aims to investigate the potential of ADP in solving large-scale network design problems under uncertainty, which the traditional methods have experienced difficulty in handling.
His supervisors are prof. Trine Boomsma (UCPH) and PhD Klaus Holst (Mærsk) also supervised his thesis "Learning network design solution strategies using reinforcement learning". The thesis proposes a reinforcement learning approach to the network design problem, unsplittable multicommodity capacitated fixed-charge network design in particular.
Sangmin has a bachelor of Science in Mathematics from Sungkyunkwan University (South Korea). He finished his master's degree in Statistics at the University of Copenhagen in October 2020. Sangmin has worked at the MATH Department as a research assistant since 1 December 2020.
You can find Sangmin in office 04.4.05.