Scholar
Wan Shen Lim
Google Scholar ID: g3njfFIAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
273
H-index
10
i10-index
10
Publications
15
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'BPF-DB: A Kernel-Embedded Transactional Database Management System For eBPF Applications', 'Automated Database Tuning vs. Human-Based Tuning in a Simulated Stressful Work Environment: A Demonstration of the Database Gym', etc., presented at conferences such as SIGMOD 2025, VLDB 2024, etc.
Research Experience
- Teaching Assistant at Carnegie Mellon University, involved in teaching multiple database-related courses including 15-799 Special Topics in Databases: Query Optimization, 15-721 Advanced Database Systems, etc. Also participated in various service activities such as ACM SIGMOD reviewer, Doctoral Review Committee member, etc.
Education
- Graduated from Carnegie Mellon University in May 2020 with a Bachelor of Science (University Honors) in Computer Science, majoring in Algorithms and Complexity, Computer Systems, and minoring in Mathematical Sciences. Currently a PhD student in the Computer Science Department at Carnegie Mellon University.
Background
- Research interest: database management systems, specifically ML4DB (machine learning for databases). Professional field: Computer Science. Biography: PhD student in the Computer Science Department at Carnegie Mellon University, advised by Professor Andy Pavlo. Member of the Carnegie Mellon Database Group and Parallel Data Lab.
Miscellany
- Speaks English and Malay, speaks a mix of Hokkien and Teochew at home but never picked up a writing system.
