Welcome to ROC

Research Interest
  • Data mining and machine learning
  • Responsible AI/ML
  • Interpretable methods
  • Social networks
  • Climate & 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 online communication and the application domains such as climate change and health intelligence.

Lab's Research

Our broad research interest is in data mining and machine learning with applications in climate change resilience and health intelligence. Some specific areas are including but not limited to computer vision, 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 ROC - Responsible Online Computing Lab. Welcome to join us!

News: We have research opportunities for PhD, Master, and Undergraduate students.

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)

Master Students
Cyruss Tsurgeon
Andrea Hannah

Undergraduate Students
Kayla Hawthorne
Malia Jennings

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