TING - Text, Interpretation, Network, and Representation Lab

Research Interest
  • Data mining & machine learning
  • Responsible AI/ML
  • Natural Language Processing
  • Representation & Interpretable methods
  • Social networks
  • Climate Change & Health Intelligence

Long Nguyen, Ph.D.

Dr. Nguyen is an assistant professor at the Department of Computer Science and Engineering, University of Louisville. Previously, he was assistant professor at the Department of Computer Science and Data Science, Meharry Medical College. He obtained his Ph.D. in Computer Science at Texas Tech University, United States. He had worked over 15 years in software industry in different countries before turning to academia career. His research interests include data mining, artificial intelligence, and machine learning, with special interests in TING (Text, Interpretation, Network, and Representation) aspects. The typical application domains are climate change and health intelligence.

Lab's Research

Our broad research interest is in data mining and machine learning (Text, Interpretation, Network, and Representation) with applications in climate change resilience and health intelligence. Some specific areas are including but not limited to Foundation Models, Large Language Models, Generative AI, Natural Language Processing, Time-series Analysis and Anomaly Detection. We enjoy advancing AI techniques and turning science to benefit community at large. Example applications are developing models and algorithms that incorporate community knowledge for disaster event causality, strategic planning, or preventive healthcare like early detection and monitoring of patient health.

Welcome

Welcome to the home page of TING - Text, Interpretation, Network, and Representation Lab. Welcome to join us!

Here, you will have great experience to learn cutting-edge Machine Learning and Data Mining skills with applications in climate change resilience and health intelligence. To join us, please don't hesitate to send your CV to l.nguyen[at]louisville[dot]edu and share your motivation in seeking research opportunity in the email. Additional supporting materials like academic transcripts and/or recommendation letters are highly recommended.

Team Members

PhD Students
Hieu M. Duong (Fall 2024)
Hoan C. Nguyen (Spring 2025)

Master Students
Cyruss Tsurgeon
Andrea Hannah

Undergraduate Students
Kayla Hawthorne
Malia Jennings

Alumni - Students with RA Support
Brittany City
Javeia Johnson-Mccoy
Fuxue Xin