SHAR Lwin Khin
Full-time Faculty
Associate Professor of Computer Science (Practice); Director, MITB (Cybersecurity) Programme
School of Computing and Information Systems
SCIS
Qualification
- PhD, Nanyang Technological University, 2014
Teaching Topics
- Cybersecurity
- Software Engineering
- Web Application Development
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsSHAR Lwin Khin is a leading expert in cybersecurity and software engineering, renowned for his pioneering research on security analysis, software testing, and vulnerability detection in cyber-physical and mobile systems.
Integrates advanced program analysis, machine learning, and empirical methodologies to address real-world security challenges in mobile, web, and IoT systems; recognized for bridging theory and practice in cybersecurity education and research; consistently contributes to open-source vulnerability detection, anomaly analysis, and privacy-preserving solutions; active in collaborative research grants and impactful industry-academic partnerships.
Focused research areas include Security modelling and analysis for cyber-physical systems; automated vulnerability detection in web and mobile applications; anomaly detection in IoT and drone systems; sustainable edge AI inference; human-AI collaboration in software testing; privacy and permission control in mobile apps; empirical evaluation of security and privacy techniques.
Integrates advanced program analysis, machine learning, and empirical methodologies to address real-world security challenges in mobile, web, and IoT systems; recognized for bridging theory and practice in cybersecurity education and research; consistently contributes to open-source vulnerability detection, anomaly analysis, and privacy-preserving solutions; active in collaborative research grants and impactful industry-academic partnerships.
Focused research areas include Security modelling and analysis for cyber-physical systems; automated vulnerability detection in web and mobile applications; anomaly detection in IoT and drone systems; sustainable edge AI inference; human-AI collaboration in software testing; privacy and permission control in mobile apps; empirical evaluation of security and privacy techniques.
Areas of Expertise
SecurityPrivacyReliabilityAnd resilience of systems
Past Awarded Grant
- Titan Code Analysis: Vulnerability Discovery with Large Code Models, Translational R&D 2.0 Grant (TRANS2.0), Smart Nation Group, PI (Project Level): David LO, Co-PI (Project Level): SHAR Lwin Khin, OUH Eng Lieh, 2023, S$3,877,744
- AP-Coach: AI-based formative feedback generation to improve student learning outcomes in introductory programming courses, Tertiary Education Research Fund (TRF), Ministry of Education (MOE), PI (Project Level): Don TA, Co-PI (Project Level): SHAR Lwin Khin, Venky SHANKARARAMAN, 2022, S$200,741.6
- ADrone: Auditing Drone Behaviours for Accountability of Criminal/Malicious Activities, NSoE MSS-CS Research Programme, National Satellite of Excellence - Mobile Systems Security and Cloud Security, PI (Project Level): SHAR Lwin Khin, Co-PI (Project Level): Don TA, JIANG Lingxiao, 2021, S$594,220
- AutoPrivacyModel: Automated Feature Modelling for Identifying Illegitimate Uses of Privacy-Sensitive Data in Mobile Applications, NSOE MSS-CS Research Programme, National Satellite of Excellence - Mobile Systems Security and Cloud Security, PI (Project Level): JIANG Lingxiao, Co-PI (Project Level): David LO, SHAR Lwin Khin, DING Xuhua, Debin GAO, 2019, S$700,403
- A-Things: Anomaly Analysis of the Internet of Things Applications, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): SHAR Lwin Khin, Co-PI (Project Level): David LO, JIANG Lingxiao, 2020, S$99,057
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- H Yu, T Wang, LK Shar, H Li, D LoEmpirical Software Engineering 31 (3), 56, 2026
- BF Demissie, YN Tun, LK Shar, M CeccatoEmpirical Software Engineering 31 (3), 76, 2026
- IC Irsan, R Widyasari, T Zhang, H Huang, F Thung, Y Li, LK Shar, EL Ouh, ...arXiv preprint arXiv:2603.17266, 2026
- Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection [2026]Y Li, T Zhang, J Shi, C Yang, J He, X Zhou, J Jiang, H Huang, WB Leow, ...arXiv preprint arXiv:2602.06751, 2026
- W Minn, BF Demissie, YN Tun, J Liu, M Ceccato, LK Shar, D LoarXiv preprint arXiv:2601.21253, 2026
- J Fan, LK Shar, R Zhang, Z Liu, W Yang, D Niyato, KY LamIEEE Internet of Things Journal, 2026
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, Nanyang Technological University, 2014
Teaching Topics
- Cybersecurity
- Software Engineering
- Web Application Development