
Registered user since Sat 30 Dec 2017
Kisub Kim is an Assistant Professor at DGIST, Korea. He earned his Ph.D. in Computer Science from the University of Luxembourg in 2021 and subsequently worked as a Research Scientist at Singapore Management University until 2023. He then spent two years at Huawei Hong Kong Research Center as a Senior Software Engineer.
His research focuses on Artificial Intelligence for Software Engineering (AI4SE), with an emphasis on integrating advanced code analysis techniques and investigating/developing AI models to enhance the efficiency and effectiveness of software engineering tasks. Most of his studies were presented at top-tier conferences and journals. He has served as a reviewer, program committee member, and organization committee member in various software engineering conferences and journals.
He is now hiring enthusiastic Master’s and PhD students at DGIST, Korea.
Contributions
2026
Mining Software Repositories
International Conference on Program Comprehension
2025
APSEC
ASE
- PC Member in Industry Showcase Track within the Industry Showcase-track
- Author of iCodeReviewer: Improving Secure Code Review with Mixture of Prompts within the Industry Showcase-track
- Author of RAML: Toward Retrieval-Augmented Localization of Malicious Payloads in Android Apps within the NIER Track-track
ESEC/FSE
International Conference on Program Comprehension
2024
ASE
ICSE
- Author of Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources within the Research Track-track
- Author of Curiosity-Driven Testing for Sequential Decision-Making Process within the Research Track-track
- Author of Representation Learning for Stack Overflow Posts: How Far are We? within the Journal-first Papers-track
International Conference on Program Comprehension
2023
Mining Software Repositories
ASE
- Author of The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models within the Research Papers-track
- Author of Are We Ready to Embrace Generative AI for Software Q&A? within the NIER Track-track
- Author of AutoConf : Automated Configuration of Unsupervised Learning Systems using Metamorphic Testing and Bayesian Optimization within the Research Papers-track