Research Areas
Data Science Theories and Applications
Fundamental research in data science methodologies, statistical learning, and theoretical
frameworks that underpin modern data analytics and knowledge discovery.
Core AI and Machine Learning Technologies
Development of advanced algorithms and techniques in artificial intelligence, including
deep learning, natural language processing, computer vision, and large language models.
AI for Science, Healthcare and Biomedicine
Application of AI and machine learning to accelerate scientific discovery, improve
healthcare delivery, advance precision medicine, and enable computational biology
and biotechnology innovations.
Human-Centered AI and Software Engineering
Research focused on designing AI systems that prioritize human needs, values, and
capabilities, along with automated software engineering and quality assurance for
intelligent systems.
Immersive and Interactive Systems
Development of virtual reality (VR), extended reality (xVR), and immersive technologies
that create engaging and interactive user experiences.
Data Visualization and Extreme Reality
Advanced techniques for visualizing complex data and creating extreme reality environments
that enhance understanding and decision-making.
Intelligent Systems, IoT, and Security
Research in intelligent connected systems, Internet of Things (IoT) applications,
cybersecurity, and secure data processing in distributed environments.
University of North Texas 
