Registered user since Tue 10 Sep 2019
Lwin Khin Shar is an Associate Professor in the School of Computing and Information Systems at Singapore Management University, Singapore. He received his Ph.D. degree in Software Engineering from Nanyang Technological University (NTU), Singapore in 2014. He was a postdoctoral research associate at SnT of the University of Luxembourg and then a research scientist at NTU. His research interests span software engineering, security & privacy, and machine learning, while specializing in analysis of web & mobile applications and recently cyber-physical systems for detecting security vulnerabilities, privacy issues, malware, and anomalies. He is author or coauthor of more than 40 research papers published in international journals and conferences/workshops, including top venues (e.g., IEEE-TSE, IEEE-TDSC, EMSE, JSS, Computers & Security, ICSE, FSE, ASE). In his research, he often collaborates with industry partners spanning from healthcare and traffic management to Government sectors.
Contributions
2027
2026
ASE
- Committee Member in Program Committee (2nd Cycle) within the Industry Showcase-track
- Author of AgentChaos: Chaos Engineering for Agent Systems via Programmatic Fault Injection within the Research Papers-track
- Session Chair of AI and Software Engineering: AI4SE 1 (part of Research Papers)
- Committee Member in Emergency Reviewers within the Industry Showcase-track
- PC Member in Program Committee within the Research Papers-track
- Committee Member in Program Committee within the Tools and Datasets-track
- Author of To Think or Not to Think: Evaluating LLM Reasoning and Agents in Vulnerability Detection within the Research Papers-track
Requirements Engineering
ESEC/FSE
ICSE
- Author of Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents within the Research Track-track
- Author of PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing within the New Ideas and Emerging Results (NIER)-track
- Author of Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? within the Research Track-track
- Author of Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval within the Research Track-track
- Author of Func: Reducing the impact of Android framework evolution on malware detection within the Journal-first Papers-track
2025
ASE
Requirements Engineering
2023
ASE
- Author of An Industrial Practice for Securing Android Apps in the Banking Domain within the Industry Showcase (Papers)-track
- Author of Fine-Grained In-Context Permission Classification for Android Apps using Control-Flow Graph Embedding within the Research Papers-track
- Committee Member in Program Committee within the Industry Showcase (Papers)-track
- Session Chair of Testing AI Systems 2 (part of Research Papers)
- Author of AutoConf : Automated Configuration of Unsupervised Learning Systems using Metamorphic Testing and Bayesian Optimization within the Research Papers-track