LATEST Event
19 May 2026 (Tuesday) l 2:30 – 6:00 PM (HKT)
Room TU101, Yip Kit Chuen Building, The Hong Kong Polytechnic University
As Web3 and digital assets move toward mainstream adoption, institutions and Web3 companies face increasing pressure around risk, compliance, and trust in decentralized environments.
This master class offers a practical introduction to how AI-powered techniques are applied in Web3 to support risk detection and compliance. Participants will gain accessible insights into blockchain fundamentals, crypto-specific AML challenges, privacy-enhancing technologies, and AI techniques for AML and transaction monitoring in cryptocurrency.
ABOUT THE SPEAKERS
Prof Man Ho Allen Au
Professor and Associate Head (Research and Development), Department of Computing & Director of RCBT, The Hong Kong Polytechnic University
Host
Prof Joseph Liu
Professor, Department of Software Systems and Cybersecurity, Co-Director Monash FinTech Lab, Monash University
Topic: Foundations of Blockchain, Cryptocurrencies & Privacy Technologies
Prof Andreas Deppeler
Professor, Monash Business School (Malaysia), Co-Director Monash FinTech Lab, Monash University
Topic: AML Compliance & Risk Management in Cryptocurrency Ecosystems
Prof John Yuen
Associate Professor, Department of Software Systems and Cybersecurity, Monash University
Topic: Cryptocurrency vs. Traditional Finance: Understanding the AML Gap
Dr. Xiangmeng WANG
Research Assistant Professor, Department of Computing, The Hong Kong Polytechnic University
Topic: Data Analytics in Fraud Detection: A Graph Learning and Causal Inference Perspective
Dr. Teresa Wang
Senior Research Fellow, Department of Data Science & AI, Monash University
Topic: AI Techniques for AML in Cryptocurrency
Organizers
Co-organizer
Supporting Organizations
