معرفی
ZHU Feida is an Associate Professor of Computer Science and Associate Dean for Partnerships and Engagement at Singapore Management University's School of Computing and Information Systems. He holds the Aptos Move Professorship and specializes in Artificial Intelligence, Data Science, and Blockchain Technology. His research spans federated learning, cybersecurity, cryptocurrency analysis, and privacy-preserving data systems.
Education: PhD in Computer Science from the University of Illinois (2009). He teaches courses on Data Mining, Business Analytics, and Computer Analysis Tools.
Research focuses on machine learning algorithms, blockchain-enhanced systems, and early detection of malicious activities in cryptocurrencies. Key areas include federated learning frameworks, decentralized data governance, and anomaly detection in large networks.
Award: Aptos Move Professorship (Recipient).
Advising: Supervises students including CHENG Ling, LIU Huiwen, and THIA Boon Sing. His work addresses challenges in data assetization, secure aggregation in federated systems, and interdisciplinary applications of AI.
Labs/Teams: Engaged in collaborative projects on blockchain security and smart data analytics through initiatives like the International Workshop on Smart Data for Blockchain (SDBD).
