معرفی
Dr. Shujie Cui is a Lecturer in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. They hold a PhD in Computer Science from the University of Auckland (2019) and previously conducted postdoctoral research in the Large-Scale Data & Systems (LSDS) group at Imperial College London. Their research focuses on applied cryptography, cloud computing security, trusted execution environments, and privacy-preserving machine learning.
Notable collaborations include projects on quantum information technology applications, privacy-preserving machine learning, and sustainability informatics for the Pacific. Current research interests span blockchain-based energy trading systems and unbiased recommendation algorithms. They are actively involved in supervising PhD students and contributing to interdisciplinary initiatives such as the Algorand Centre of Excellence.
Key projects include the Quantum Information Technology: Industry Readiness & Applications (2023-2027) and CSIRO Privacy-Preserving Machine Learning (2023-2027). Their work emphasizes practical cryptographic solutions for modern distributed systems and emerging technologies.
Dr. Cui's research has produced impactful publications in areas like privacy-preserving face recognition (CryptoMask) and fault-tolerant blockchain-based search mechanisms. These contributions highlight their expertise in balancing security, privacy, and computational efficiency in complex systems.
