Scholar
Xiang Xu
Google Scholar ID: Khfy-80AAAAJ
Senior Applied Scientist @ AWS AI Labs
Citations & Impact
Citations
1,330
H-index
9
i10-index
9
Publications
20
Co-authors
29
list available
Publications
Resume (English only)
Academic Achievements
- Recently, he was granted two patents related to digital identity and trust systems.
Research Experience
- Before joining AWS, he had over a decade of experience in biometric research and digital identity systems, contributing to significant advancements in face recognition, liveness detection, 3D face reconstruction, and adversarial robustness. He serves as a reviewer for top-tier conferences including CVPR, ECCV, ICCV, and has been recognized for his contributions to AI safety and digital trust.
Education
- He obtained his Ph.D. degree from the University of Houston under the mentorship of Professor Ioannis A. Kakadiaris in 2019.
Background
- Xiang Xu is a Senior Applied Scientist and Tech Lead at AWS AI Labs, where he leads cutting-edge research and development in multi-modal digital trust and safety. His work is at the forefront of building secure, scalable, and trustworthy AI systems that underpin the next generation of digital identity and content authenticity solutions. He focuses on making large multi-modal language models more robust, aligned, and efficient, especially in high-risk applications such as identity verification and content moderation.
Miscellany
- He is passionate about making AI not just smarter, but safer—building models that see, read, and reason with security, accountability, and human alignment at their core.
