Xukai Zou

Xukai Zou is an active researcher in Cybersecurity, Federated Learning, and Privacy-Preserving Authentication. His work spans multiple institutions and focuses on secure e-voting systems, biometric authentication, and robust machine learning frameworks.

• Key Research Areas: Federated Learning, Network Security, Biometric Authentication, Privacy-Preserving Techniques
• Collaborations: Frequently works with Feng Li, Agnideven Sundar, and Qin Hu

Recent Trends include applying Deep Learning to Network Intrusion Detection, developing Decentralized Federated Learning for Non-IID Data, and creating Interactive Cybersecurity Curricula inspired by E-Voting technology.

Notable Contributions in Group Communication security and Key Management date back to the early 2000s, showing sustained expertise in cryptographic protocols and distributed security solutions.