Research Areas
Core themes powering dependable, secure, and human-centered intelligent systems.
- Cybersecurity & Privacy | Data-Driven Dependability
- Trustworthy and Responsible AI/ML
- Wireless Sensing, Biometrics, and Authentication
- Behavioral Data Mining and Intelligent Modeling
- ML for Security in IoT/CPS and HCI
- Post-Quantum Security (PQS) and Secure Quantum ML (SQML)
- Secure and Trustworthy Sensing for UAV/Drone/Self-driven Vehicle
- Emerging IoT/CPS applications: healthcare monitoring, event monitoring, structural health monitoring, and sensing application
The lab focuses on building robust security and intelligence systems that can be trusted in real-world environments. Work combines theory, system design, and deployment-centered validation.