💡  Research Interests: Reinforcement learning, Smart manufacturing system, Combinatorial optimization.

I'm a second-year M.S in the department of Naval Architecture and Ocean Engineering(NAOE) at Seoul National University (SNU). I conduct research with my colleagues in the Production Engineering Laboratory (PEL), supervised by Prof. Jong hun Woo, and collaborate on projects with the department of Production Engineering at KTH.

My primary research interest lies in reinforcement learning (RL) for combinatorial optimization and its application to real-world production and logistics optimization problems. For my first master's project, I modeled market dynamics using the System Dynamics methodology to predict the demand for new shipbuilding. Subsequently, my focus shifted to production and logistics optimization, where I developed a reinforcement learning algorithm integrated with CGCNN for optimal block transportation scheduling in shipyards.

Currently, my research interests lie in Explainable AI in scheduling and the integrated optimization of systems. To this end, I am conducting research on explainable scheduling using a simplified production system (PMSP). Additionally, I am preparing my master’s thesis on the topic of an integrated block logistics optimization system in shipyards.

I am a passionate student who is not afraid to take on new challenges. If you are interested in discussing research or potential collaboration, please feel free to contact me via email!