Sungmin Kang has successfully defended his thesis, titled “Improving the Reliability Large Language Model-based Software Artifacts via Execution”. Notably, he did it on his birthday :) Congratulations!!

Dr. Kang joined COINSE in 2019, initially as a master’s student, then converting to an integrated programme (MSc + PhD). Sungmin’s very first research attempt was Monte-Carlo Tree Search, which led to Automated Program Repair (APR). Recently he is best known for his work with Large Language Models, including bug reproduction (ICSE 2023), explainable APR (preprint), and fault localization (FSE 2024). Sungmin is also our resident Bayesian expert (ISSTA 2023). Congratulations!!