Applications of Physical AI & Security
Fresco (IEEE ICCCN 2026)
I lead XL-Stack Lab, where we develop multimodal sensing, communication, and AI technologies that enable intelligent systems to perceive, understand, and interact with the physical world. Our research spans human-centered physical AI, foundation models for motion, integrated sensing and communication (ISAC), intelligent cyber-physical systems, edge AI, NextG wireless networks, and trustworthy IoT.
Email
xliu15 [at] fsu [dot] edu
Office
Love Building, Room 160
Address
Department of Computer Science, 1017 Academic Way, Tallahassee, FL 32306-4530
About Me
My research bridges AI and the physical world. I build sensing, learning, communication, and networking systems that turn heterogeneous signals into reliable physical intelligence. A recurring theme is full-stack co-design: connecting foundation models and generative AI with multimodal sensing, edge intelligence, cyber-physical systems, and NextG infrastructure.
XL-Stack Research Map
Explore how each project connects ideas across the computing stack.
Select a paper to trace its contributions across layers.
EfficientAdaptiveSecurityTrustworthy
AccuracyLatencyEnergySafety
Before joining FSU, I was a Postdoctoral Scholar at the NSF AI-EDGE Institute at The Ohio State University (OSU), working with Prof. Ness Shroff, Prof. Eylem Ekici, and Prof. Kannan Srinivasan. I completed my Ph.D. at the University of Maryland, Baltimore County (UMBC), mentored by Prof. Ting Zhu (now at OSU).
I welcome interdisciplinary collaborations across computing, engineering, health, and the sciences, especially projects that need AI and sensing to understand or interact with the physical world. Prospective students and collaborators are encouraged to get in touch.
News
Publication
Full list on Google ScholarBrowse publications by research area