Jiho Shin
Scholar

Jiho Shin

Google Scholar ID: kowMMYcAAAAJ
Ph.D. Candidate, York University
Software EngineeringSoftware AnalyticsAI4SESoftware Testing
Citations & Impact
All-time
Citations
377
 
H-index
11
 
i10-index
11
 
Publications
18
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published multiple conference papers and journal articles, including in IEEE/ACM International Conference on Software Engineering, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, etc. Won two Distinguished Paper Awards.
Research Experience
  • Published papers in multiple international conferences such as ICSE, ICST-Short, MSR, ISSTA, APSEC, ISSRE, ESEC/FSE, KCSE, and participated in several research projects.
Background
  • A Postdoctoral Research Fellow at SAIL/MCIS Lab in the School of Computing at Queen's University, Kingston. His research focuses on applying deep learning and natural language processing techniques to automated software engineering (AI4SE), particularly investigating the reliability and trustworthiness of foundation models and large language models in tasks such as text-to-source-code generation, unit test and test-oracle (assertion) generation, automatic program repair, code summarization, and code translation.