UNT researchers are advancing AI and data science through innovative, high-impact
research that spans theory, methodology, and applications across disciplines. From
foundational machine learning to interpretability and responsible AI, our research
drives discovery in academia, industry, and society.
AI for disease detection, diagnostics, genomics, and population health.
Transportation analytics, autonomous systems, and urban planning decision tools.
AI-powered materials discovery, robotics, and predictive modeling.
Threat detection, anomaly modeling, and secure automation.
AI-supported advising, personalized learning, and student success models.
Generative media, music, art, and human–AI collaboration at scale.
Breaking Down Disciplinary Boundaries
AI research at UNT is inherently interdisciplinary. Faculty and research teams integrate expertise from engineering, computer science, mathematics, health sciences, business, education, and social sciences to tackle complex challenges requiring diverse perspectives and sophisticated solutions.
Our research projects translate into real-world impact:
Predictive models for healthcare diagnostics
AI for Infrastructure, Energy, and Earth Systems Intelligence
Autonomous perception for transportation and robotics
Algorithms for trustworthy and responsible decision-making
Scalable data analytics for business and industry
Our faculty have received several grants from the NSF, NSA, Western Social Science Association, Bloomberg Data Science, Department of Energy, Amazon, Cisco, Nvidia, AMD, Norman Hackerman Advanced Research Program, Oak Ridge National Lab, Texas Department of Transportation, and more.
University of North Texas 
