Hello!
With a Ph.D. in Computer Science, I combine deep technical insight with strategic oversight, staying attuned to the fast-evolving AI landscape. I thrive in multidisciplinary environments and am passionate about helping organizations adopt AI responsibly with confidence.
My expertise lies in operationalizing AI governance throughout the AI lifecycle, from model evaluation and risk assessment to quality assurance and regulatory compliance. Currently serving as Principal AI Expert at AIQURIS, I advise organizations on enterprise AI readiness, risk frameworks, and policy development. I work cross-functionally with legal, compliance, and technical teams to ensure that AI deployments are not only innovative but aligned with business objectives, risk appetites, and emerging regulations.
As a member of Singapore’s AI Technical Committee (AITC), I actively contribute to the development of national AI standards, including SS ISO/IEC 42001:2024, which I helped launch as a keynote speaker.
Experiences
- Founding team member leading the design of an intelligent SaaS platform for responsible AI adoption. I translate AI governance expertise into scalable product features, covering risk profiling, regulatory mapping, and compliance automation. I have integrated expert systems and LLMs to the product, reducing risk assessment effort by up to 70%. The platform is adopted by leading financial institutions and government agencies. I also provide expert consulting on AI risk, compliance, and policy alignment.
- Advised clients on AI readiness, data governance, and regulatory compliance. Led cross-sector AI assessments, developed governance policies aligned with ISO/IEC standards, and streamlined regulatory audits using LLMs.
- Trainer for AI Quality Certification Program (AIQCP).
- Led research bridging trustworthy AI innovations with commercial deployment. Conducted performance, fairness, and security testing on advanced AI models. Developed adversarial robustness features for Huawei’s MindSpore AI framework. Created ML-driven dynamic malware detection solutions enhancing mobile device security.
- Collaborated with government agencies on AI and blockchain initiatives supporting Singapore’s Smart Nation Programme. Developed AI models for power demand forecasting and anomaly detection in smart grids for the Energy Market Authority. Contributed to blockchain solutions enhancing security in intelligent transportation systems with the Land Transport Authority.
- Conducted advanced research on mobile security and privacy, focusing on developing practical security solutions for mobile and wearable devices. Conducted vulnerability analyses and designed user-friendly authentication methods that balance security with usability.
Selected Publications
IEEE Transactions on Information Forensics and Security, vol. 19, pp. 10314-10327, 2024.
Proceedings of the ACM on Software Engineering 1, no. FSE (2024), 2005-2027.
IEEE Transactions on Dependable and Secure Computing (2024).
Computers & Security 135 (2023), 103504.
In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, pp. 785-799. 2022.
In Proceedings of the 44th International Conference on Software Engineering (ICSE 2022).
In IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 19, no. 1, pp. 77-90, 1 Jan.-Feb. 2022.
In 2020 IEEE International Conference on Blockchain (Blockchain), pp. 9-16. IEEE, 2020.
IEEE Transactions on Information Forensics and Security, 16, pp.307-321.
ET Smart Cities, 2(4), pp.199-207.
In Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security (CCS workshop AISec'20).
In Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (AsiaCCS), pp. 458-470. 2020.
In International Conference on Network and System Security (NSS), pp. 632-645. Springer, Cham, 2019.
In International Conference on Smart Blockchain, pp. 109-119. Springer, Cham, 2019.
IEEE Network 34, no. 1 (2019): 116-121.
IEEE Wireless Communications 26, no. 4 (2019): 110-116.
Computers & Security 80 (2019): 120-133.
Computers & Security 76 (2018): 71-91.
ICT Express 4, no. 1 (2018): 35-41.
In Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy, pp. 299-306. ACM, 2018.
IEEE Transactions on Information Forensics and Security 13, no. 3 (2018): 745-757.
In 2018 IEEE 4th International Conference on Identity, Security, and Behavior Analysis (ISBA), pp. 1-8. IEEE, 2018.
Computers & Security 72 (2018): 163-174.
In International Conference on Advanced Data Mining and Applications, pp. 727-740. Springer, Cham, 2017.
In Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, pp. 327-333. ACM, 2017.
Journal of Computer Security 25, no. 3 (2017): 231-253.
In MALWARE 2016: Proceedings of the 11th International Conference on Malicious and Unwanted Software: Fajardo, Puerto Rico, October 18, vol. 21, pp. 10-19.
In International Conference on Security and Privacy in Communication Systems, pp. 44-62. Springer, Cham, 2016.
In Australasian Conference on Information Security and Privacy, pp. 481-489. Springer, Cham, 2016.
In Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, pp. 759-770. ACM, 2016.
In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, pp. 18-26. IEEE, 2014.
In Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security, pp. 335-340. ACM, 2013.
Journal of computer research and development 51, no. 7 (2014): 1446-1457.
Chinese Journal of Computers 37, no. 1 (2014): 87-100.
Chinese Patent No. CN102999719 B, August 26, 2015.
Chinese Patent No. CN102594783 B, October 22, 2014.