JIANG Lingxiao
Full-time Faculty
Professor of Computer Science; Director, Centre for Research for Intelligent Software Engineering
School of Computing and Information Systems
SCIS
Qualification
- PhD, University of California, Davis, 2009
Teaching Topics
- Software Engineering
- Object Oriented Application Development
- Data Mining
- Engineering Software Systems
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsLingxiao Jiang is a leading expert in intelligent software engineering, program analysis, and automated testing, recognized for pioneering research and impactful tools in software reliability, security, and deep learning for code.
Combines innovative methodologies in program analysis and deep learning with practical tools widely adopted in academia and industry; advances software reliability, security, and privacy through interpretable and scalable solutions; consistently recognized with awards for impactful papers and contributions to software engineering research.
Focused research areas include Automated program analysis and testing, vulnerability detection in smart contracts and blockchain systems, deep learning for code representation and retrieval, software security and privacy, anomaly detection in cyber-physical systems (e.g., drones, IoT), cross-language code mapping and migration, and empirical software engineering.
Combines innovative methodologies in program analysis and deep learning with practical tools widely adopted in academia and industry; advances software reliability, security, and privacy through interpretable and scalable solutions; consistently recognized with awards for impactful papers and contributions to software engineering research.
Focused research areas include Automated program analysis and testing, vulnerability detection in smart contracts and blockchain systems, deep learning for code representation and retrieval, software security and privacy, anomaly detection in cyber-physical systems (e.g., drones, IoT), cross-language code mapping and migration, and empirical software engineering.
Areas of Expertise
Software EngineeringData MiningCyber SecurityProgramming LanguagesSystems
Past Awarded Grant
- Development of Secured Components & Systems in Emerging Technologies through Hardware & Software Evaluation, National Cybersecurity R&D (NCR) Programme, Cyber Security Agency of Singapore (CSA), PI (Project Level): DING Xuhua, Debin GAO, Robert H DENG, David LO, Co-PI (Project Level): Guansong PANG, JIANG Lingxiao, DUAN Yue, YANG Guomin, PANG Hwee Hwa, 2023, S$11,365,070
- The Science of Certified AI Systems, Academic Research Fund (AcRF) Tier 3, Ministry of Education (MOE), PI (Project Level): SUN Jun, Co-PI (Project Level): David LO, JIANG Lingxiao, 2021, S$9,340,776
- Trust to Train and Train to Trust: Agent Training Programs for Safety-Critical Environments, AI Singapore Research Programme, AI Singapore, PI (Project Level): Pradeep Reddy VARAKANTHAM, Co-PI (Project Level): Akshat KUMAR, Arunesh SINHA, David LO, 2021, S$6,086,963.76
- 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
- Making Big Code Active: From Billions of Code Tokens to Automation, International Research Collaboration Grant, Singapore Data Science Consortium, PI (Project Level): David LO, Co-PI (Project Level): JIANG Lingxiao, 2020, S$631,344
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- W Ma, J Shi, J Qiu, C Wu, J Chen, L Jiang, S Liu, Y Liu, X YangIEEE Transactions on Information Forensics and Security, 2025
- W Wang, W Ma, Q Hu, Y Zhang, J Sun, B Wu, Y Liu, G Xu, L JiangarXiv preprint arXiv:2509.03331, 2025
- X Ren, Q Hu, W Ma, Y Li, Y Zhang, L Jiang, Y XuearXiv preprint arXiv:2508.12620, 2025
- J Shi, W Ma, S Ying, L Jiang, B DuarXiv preprint arXiv:2508.01203, 2025
- Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach [2025]I Tan, W Minn, CM Poskitt, LK Shar, L JiangInternational Conference on Engineering of Complex Computer Systems, 3-23, 2025
- X Cai, J Liu, X Huang, Y Yu, H Wu, C Li, B Wang, INB Yusuf, L JiangInternational Conference on Engineering of Complex Computer Systems, 283-302, 2025
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, University of California, Davis, 2009
Teaching Topics
- Software Engineering
- Object Oriented Application Development
- Data Mining
- Engineering Software Systems