From Physics to AI: Building the Full Stack of Physical AI
Xin Liu · Computer Science Colloquium Series
| Speaker | Xin Liu |
| Date | Friday, November 13, 2:15 – 3:05 pm |
| Location | 307 Love |
Abstract
AI has become part of everyday life, and many now see physical AI as its next step. In physical AI, machines go beyond text and images to sense, understand, and act in the real world. Yet the word “physical” is often left vague. What does the physical world look like to a machine, and what does it take to build AI on top of it?
In this talk, Xin will share how researchers who build systems close to the hardware approach these questions. The lab views physical AI from the bottom up, starting from signals, sensors, and wireless links and working up through perception and human interaction to understanding. Xin will illustrate this path with a few recent projects.
About the speaker
Xin Liu is an Assistant Professor of Computer Science at Florida State University and leads the XL-Stack Lab. The lab builds physical AI across the whole stack, from signals and sensing to integrated sensing and communication to AI models. Xin’s research spans computer networks, mobile computing, computer security, human-computer interaction, and natural language processing, and Xin has published at top-tier conferences in each of these areas.
Before joining FSU, Xin was a Postdoctoral Scholar at the NSF AI-EDGE Institute at The Ohio State University. Xin received a Ph.D. from the University of Maryland, Baltimore County.