Government Research Grants

1. Center for Software Disaster Research, Excellent Research Center (ERC), NRF, 2021-2028
2. Operation Techniques of SWE Multi-agents for C/C++ Library Migration, Master’s Degree Research Supporting Program (supporting Joonheui Kim), Ministry of Education through NRF, 2025-2026
3. LLM-guided Search Strategies for Directed Greybox Fuzzing, Master’s Degree Research Supporting Program (supporting Narin Han), Ministry of Education through NRF, 2025-2026
4. Fuzz-test Replication for Effective Debugging Supports, Master’s Degree Research Supporting Program (supporitng Kieun Kim), NRF, 2024-2025
5. Development of automatic software error repair technology that combines code analysis and error mining, IITP, 2021-2024
6. Fuzzing based Test Case Generation Techniques for Effective Continuous Testings of Software Projects, Young Researcher Program Funded by NRF, 2020-2023
7. Intelligent Automation Techniques for Fullstack Software Debugging, Next-Generation Information Computing Development Program Funded by NRF, 2017-2021
8. Developing Automated Software Test Generation Techniques Using Data-driven Analyses, Young Researcher Program Funded by NRF, 2017-2020
9. Detecting Software Performance Bugs Using Automated Unit Test Generation Techniques, Young Researcher Program Funded by NRF ,2015-2016

Industry Collaboration Projects

1. Analysis of Security Linkages in the Standard for Nuclear Power Plant Digital System Engineering Process (in collaboration with Prof. Eunkyoung Jee at KAST), Korea Institute of Nuclear Nonproliferation and Control (KINAC), 2025
2. Fuzzing Techniques for SAP HANA Unit Tests for Crash Bug Detection and Reliability Enhancement in Continuous Integration Process, SAP Labs Seoul, 2020-2021
3. Using Neural Embedding for Tracking Source Code Changes, Samsung Research, 2020
4. Asessing Quality of Unit Test Cases Automatically, Samsung Research, 2019
5. Detecting Multithreaded Program Errors in Real-time Operating Systems, Samsung Memory Research Institute, 2017-2018
6. Machine Learning Approach to Analyze Static Analysis Alerts, Samsung Research, 2017

Industrial Consulting and Training

1. Committee Member, LG Software Development Engineering in Testing (SDET) Expert Training Program, 2025
2. Instructor, SQA Intensive Program, Samsung Electronics, Jul 2025
3. Instructor, Software Engineering Intensive Program, Samsung Electronics, Jun-Jul 2024
4. Program Director and Instructor, Software Testing Intensive Course, Samsung Advanced Technology Training Institute, Samsung Research, Jul 2021-Aug 2023
5. Instructor, LG Software Development Engineering in Testing (SDET) Expert Training Program, Jun 28-29, 2017