Registered user since Thu 4 Nov 2021
I am Jieke Shi (史杰克), a 4th-year Ph.D. Candidate and a Research Engineer at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). I am working with Professor David Lo, an ACM/IEEE/ASE Fellow, as my supervisor.
My research lies at the intersection of Software Engineering (SE) and Artificial Intelligence (AI), with a particular focus on program synthesis techniques for enhancing the efficiency and reliability of AI-powered software. Over the past four years, my work has centered around two key challenges: (1) compressing and “greening” code models to make them more deployable and sustainable; and (2) ensuring the safety of AI-enabled systems across both runtime and offline phases. This research trajectory has led to 25 publications in top-tier SE and security venues (e.g., ICSE, ASE, TSE, TOSEM, IEEE S&P). My work has been recognized with multiple academic honors, including ACM SIGSOFT Distinguished Paper Awards (ASE’22 nomination, ASE’25 winner), an IEEE Computer Society Best Paper Award (TSE’24), an Honorable Mention (ACSAC’22), and research grants from OpenAI and Google Cloud. Within SMU, I was honored with the SMU Presidential Doctoral Fellowship (2023), SCIS Research Excellence Award (2025), SCIS Dean’s List Award (2023&2025), and SMU Research Staff Excellence Awards (2025).
Contributions