KE Ping Fan
Full-time Faculty
Assistant Professor of Information Systems
School of Computing and Information Systems
SCIS
Qualification
- PhD, Hong Kong University of Science and Technology, 2018
Teaching Topics
- Business Process Analysis and Solutioning
- Cybersecurity and Risk Management
- Spreadsheet Modeling and Analytics
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsKE Ping Fan is an accomplished scholar in information systems, specializing in cybersecurity, Web3, digital identity, and the intersection of AI and blockchain, with a strong record of research, teaching, and industry-relevant contributions.
Bridges technical innovation with socio-economic insights in cybersecurity and blockchain; recognized for advancing digital identity verification and market analysis in Web3; integrates adversarial AI methods for real-world content authenticity and security challenges; impactful in both academic and practical domains, including regulatory and industry applications.
Focused research areas include Socio-technical and economic analysis of blockchain/Web3 ecosystems; digital identity verification frameworks; market dynamics of NFTs and DeFi; adversarial learning for content authenticity; security operations and ransomware detection; privacy, attribution, and regulatory impacts in information systems.
Bridges technical innovation with socio-economic insights in cybersecurity and blockchain; recognized for advancing digital identity verification and market analysis in Web3; integrates adversarial AI methods for real-world content authenticity and security challenges; impactful in both academic and practical domains, including regulatory and industry applications.
Focused research areas include Socio-technical and economic analysis of blockchain/Web3 ecosystems; digital identity verification frameworks; market dynamics of NFTs and DeFi; adversarial learning for content authenticity; security operations and ransomware detection; privacy, attribution, and regulatory impacts in information systems.
Areas of Expertise
Cybersecurity and information security outsourcingWeb3 and blockchain-based digital identityadversarial and domain adaptation learning for fake content detectiondecentralized finance (DeFi) and NFT market analysishuman-AI collaboration in survey and business research.
Past Awarded Grant
- Digital Assets in Web3 as Digital Identity, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): KE Ping Fan, Co-PI (Project Level): LAU Yi Meng, 2023, S$30,000
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- YM LAU, PF KE, T LIMSingapore Management University, 2026
- PF Ke, KC NgACM Transactions on Management Information Systems 16 (1), 1-39, 2025
- ACT Lai, SM Yiu, PF Ke, A HoarXiv preprint arXiv:2502.02230, 2025
- ACT Lai, V Kamluk, A Ho, PF Ke, B WaiarXiv preprint arXiv:2502.02335, 2025
- ACT Lai, PF Ke, A HoarXiv preprint arXiv:2502.01221, 2025
- Evaluating DeFi vulnerabilities: The role of bug bounty programs on DeFi software supply chain [2025]PF KE, YM LAU, L JIANGPalgrave Macmillan, 2025
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, Hong Kong University of Science and Technology, 2018
Teaching Topics
- Business Process Analysis and Solutioning
- Cybersecurity and Risk Management
- Spreadsheet Modeling and Analytics