D. Lindi Liao, Ph.D.


Associate Professor

School of Computing
George Mason University




Dr. Liao has 20+ years of in-depth R&D experience across academia, industry, and government. She has developed many research projects and industrial products as well as authorized 60+ peer-reviewed research publications, including two books on 3D graphics & GPUs and one book chapter on Big Data computing with a new computational brain model. In the recent high-tech booming era, she was CTO/Head of Research in industries, including a Fortune Global 30 company, and led the R&D of emerging technologies in multimodal AI, Big Data, self-driving cars, 3D/VR/AR/XR, and geospatial computing. She initiated and established bridges between government, industry, and universities, which formulated cutting-edge technology directions. Before, she worked at the U.S. DOT FAA & FHWA research center/national laboratories.


Research Interests

  • Artificial Intelligence (AI), Generative AI, Multimodal AI
  • AI for Music, Natural language Processing (NLP), Computer Vision (CV)
  • Brain Computing, Machine Learning (ML), Big Data Computing
  • Self-driving Cars, Robotics, Human-Robot Interaction (HRI), AI Safety
  • 3D Graphics, VR/AR/XR, Multicore Architectures, Geospatial Computing

Degrees

Research

Passion for AI, Beyond your imagination

Teaching

Open a new world to AI and Big Data

AIT 726 - Natural Language Processing with Deep Learning

Course syllabus

AIT 526 - Introduction to Natural Language Processing

Course syllabus

AIT 736 - Applied Machine Learning

Course syllabus

AIT 614 - Big Data Essentials

Course syllabus

AIT 580 - Analytics: Big Data to Info

Course syllabus

AIT 524 - Database Management Systems
IT 415 - Information Visualization
Future New Courses on AI Essentials, Computer Vision, Self-Driving Cars, etc.



Partial solar eclispse photos were taken on 4/8/2024 between 2:30pm and 4:30pm.

Contact

Office

Engineering Building #4510

GMU Fairfax Campus, VA

Email Address

646C69616F32 (AT) gmu.edu

NOTE: this is an encoded email address. Please decode the left part before using it.