معرفی
Shuang Hao is an Associate Professor in the Department of Computer Science at the University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering & Computer Science. He leads research at the intersection of cybersecurity and artificial intelligence.
- Undergraduate: Tsinghua University
- PhD: Georgia Institute of Technology (advisor: Nick Feamster)
- Postdoc: University of California, Santa Barbara (collaboration with Giovanni Vigna and Christopher Kruegel)
His research focuses on security and privacy, particularly data-driven and AI-based techniques to combat adversarial attacks, illicit activities, and vulnerabilities in digital infrastructure. Key areas include AI security, big data security, and next-generation network systems.
Recent publications analyze ad attribution laundering, AI-synthesized face detection, and machine unlearning vulnerabilities. Awards include the NSF CAREER Award (2022) and IETF Applied Networking Research Prize (2020).
He mentors PhD, Master’s, and undergraduate students, including Matthew Joslin, Xian Wang, and Melissa Fulfer. Courses taught include CS 6349: Network Security and CS 4390: Computer Networks.
Media coverage spans MIT Technology Review, Wired, and The Wall Street Journal. His work exposes threats in Zigbee protocols, DNS resolution interception, and ultrasound cross-device tracking.
