معرفی
Yang Xiao is a Professor in the Department of Computer Science at the University of Alabama (current affiliation) and previously affiliated with The University of Memphis. His research focuses on cybersecurity, smart grids, IoT systems, neural networks, control systems, and machine learning applications. He has contributed to advanced methods in ransomware detection, electricity theft prevention in smart grids, and real-time phishing attack identification using deep learning.
Key research areas include:
- Cybersecurity frameworks for critical infrastructure (e.g., water distribution systems, maritime navigation)
- IoT-enabled smart building energy management and anomaly detection
- Control systems for unmanned vehicles and cyber-physical systems under adversarial conditions
- Machine learning models for imbalanced data and sensor-based decision systems
Recent work emphasizes adaptive control algorithms for nonlinear systems, reinforcement learning in autonomous systems, and distributed energy management for maritime applications. His publications span top-tier journals like IEEE Transactions on Cybernetics, IEEE Internet of Things Journal, and IEEE Transactions on Neural Networks and Learning Systems.
