AI Research

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AI Research at UNT

Artificial Intelligence Research at UNT encompasses a wide array of fields working to combine machine learning and other computational methods with problems in all areas. These including Bio-Medical Engineering, Computer Vision, Natural Language Processing, Machine Learning, Deep Learning, Neural Networks, and more.

Departments & Colleges

Research Labs

  • Biomedical Artificial Intelligence Lab

    The Biomedical AI Lab develops machine learning tools to predict or precisely measure the outcomes of medical interventions, collaborating extensively with hospitals and medical schools. Although artificial intelligence techniques and clinical populations are highly varied, a major theme is tailored wearable device analytics to assess therapies for individuals with impaired mobility, including past research populations with Parkinson’s disease, lower-limb amputations, incomplete spinal cord injury, and cerebral palsy.

  • Computer Vision and Intelligent Systems Laboratory

    The Computer Vision and Intelligent Systems Laboratory (CoVIS) is to advance the understanding of the theories of machine learning for processing complex data and to develop applications in areas such as medicine, geo-information, etc. The research focuses on both algorithm innovation and hardware integration, which includes computer vision, pattern recognition, data mining, and artificial intelligence. The CoVIS lab is facilitated with the state-of-the-art computing resources and various imaging technologies. The lab provides both graduate and undergraduate students a unique, collaborative research cohort to further their career goals.

  • Human Intelligence and Language Technologies Lab

    The Human Intelligence and Language Technologies (HiLT) lab focuses on research on natural language processing (NLP), machine learning (ML), and cognitive science, with an emphasis on Spoken-Dialogue Educational Health & Wellbeing Companion Robots (Companionbots), Educational Technology, Health & Clinical Informatics, and End-User Software Engineering.

  • Information Management and Knowledge Discovery Lab

    The Information Management and Knowledge Discovery Lab (IMKD) focuses on information processing and data mining for emerging applications, e.g. spatial, spatio-temporal, streaming, web, and sensor databases. Current projects include a number of topics in spatial data mining, geo-stream processing, modeling network similarity, trajectory modeling, and privacy preserving. The lab conducts both fundamental and applied research and development to enable the use of information technology for many application domains such as environmental monitoring, transportation, and social networking.

    Faculty: Yan Huang
  • Information Retrieval and Text Mining Lab

    The Information Retrieval and Text Mining Lab focuses on developing a variety of general techniques for representing, searching, filtering, organizing, and mining text information, with applications in multiple domains including the Web, homeland security, and biomedical and health informatics. The research draws on methods from information theory, natural language processing, and data mining to tackle problems in information retrieval and discovery, and emphasizes on both fundamental research and system development.

    Faculty: Wei Jin
  • Multimedia Information Group

    The Multimedia Information Laboratory conducts research on multimedia material (videos and images) processing, multimedia information extraction, and multimedia information modeling and retrieval, which include video and image segmentation, motion and color analysis, image quality analysis, and object recognition by region clustering and classification.

    Faculty: JungHwan Oh
  • Responsible AI Lab

    Our research spans the areas of Responsible AI, Generative AI, and Data Security and Privacy., focusing on: 1) Designing algorithms and models to enhance fairness, accountability, transparency, ethics, security, and privacy in AI; 2) Investigating the societal impacts of AI by putting humans and society in the loop; and 3) Applying AI in cross-domain applications (e.g., smart manufacturing and smart agriculture).

    Faculty: Yunhe Feng
  • And more to come


College of Business

Dan J. Kim - His research interests are in multidisciplinary areas such as information security (InfoSec) and privacy, business and social media analytics, trust in electronic commerce, and others.

Arunachalam Narayanan - He earned a PhD in Operations Management and an MS in Industrial Engineering from Texas A&M University. He also earned a BE in Mechanical Engineering from the College of Engineering in Guindy, India.

David Nowicki - He earned his Ph.D in Industrial and Systems Engineering from the University of Wisconsin – Madison, his M.S. in Industrial Engineering and Operations Research from Virginia Tech, and his B.S., Industrial Engineering from the University of Wisconsin – Madison.

Terrance Pohlen -  His research focuses on the costing and financial management of logistics and supply chain management.

Brian Sauser - He has led research focused primarily on the management of complex systems, which has changed how risk is assessed in complex defense systems.

Anna Sidorova - Dr. Sidorova has engaged in active research in the areas of business intelligence and analytics, text mining, business process management, IS implementation and use, and the applications of AI and machine learning in business.

Russel Torres - Dr. Torres has provided undergraduate and graduate instruction on a wide range of topics including business analytics, business intelligence, business statistics, database technologies, business process management, and IT systems development.

College of Information

Jiangping Chen - Dr. Jiangping Chen’s research has been focused on Intelligent Information Access for digital libraries, exploring how different types of data, information, and knowledge could be better managed and provide access services to users.

Junhua Ding - His current research interests include Data Science and Engineering, Machine Learning, Software Engineering, and Biomedical Computation.

Abdulrahman Habib - Dr. Abdulrahman Habib is an information science scholar focused on emerging technology adoptions with focus on smart city and open data.

Lingzi Hong - Her research interests lie in data science for social good, where new techniques in data science are applied for human behavior modeling to enhance decision-making for crisis management and sustainable development.

College of Engineering

Department of Computer Science and Engineering

Mark V. Albert -  He has published a number of papers measuring motor adaptation, detecting falls, recognizing activities, and measuring movement quality for a wide variety of affected populations including individuals with Parkinson's disease, spinal cord injury, and transfemoral amputations.

Eduardo Blanco - His Research Interests are Natural language processing, Computational semantics, Semantic relation extraction and inference, Negation, modality, and Uncertainty.

Bill Buckles - His research focuses on image understanding and related problems in search, optimization, and pattern recognition.

Yunhe Feng - His research focuses on Responsible AI, Generative AI, Applied AI, and Data Security and Privacy.

Song Fu - His research interest is primarily in cyberinfrastructures, parallel, distributed and IoT-edge-cloud systems, including architecture, performance, dependability, security, and machine learning.

Nagendra Gulur - His current lab research focuses mainly on 3D RAM design, Processing-in-Memory and memory analysis tools.

Xuan Guo - Dr. Guo's research focuses on big data mining and high-performance computing and their applications in environment, food and health sectors.

Yanyan He - Dr. He’s research focuses on Uncertainty Quantification, Uncertainty Modeling, Bayesian Methods, Computational Statistics, Interests Monte Carlo Methods, Uncertainty Visualization, Uncertain Data Fusion, Fuzzy Sets, Fuzzy Measures, and Image Processing.

Yan Huang - Her research interests include spatio-temporal databases and mining, geo-stream data processing, smart transportation, and location-based social networks.

Wei Jin - Dr. Wei Jin's research primarily focuses on data mining and knowledge discovery, information retrieval and extraction, Web mining and social network analysis, and biomedical and healthcare applications.

Krishna Kavi - His current research focuses mainly on 3D RAM design, Processing-in-Memory and memory analysis tools. They are also investigating hardware and system level security enhancements, ontologies for capturing and analyzing security vulnerabilities.

Armin Mikler - His research focus is on solving challenging problems in population health and epidemiology through the development and application of computational methods.

Rodney Nielsen - His NLP and ML research has been applied to cognition, executive function and cognitive training in aging, companionable healthcare robots, virtual reality-based healthcare and education, health behavior change therapy, detecting suicidality, classroom engagement technology, and intelligent tutoring systems.

JungHwan Oh - His research interests are Medical Image and Video Analysis, Multimedia Data Mining, and Multimedia Big Data.

Ting Xiao - Dr. Xiao's research involves creating and using computational tools to make meaningful statistical inferences on large sets of data measured from experiments.

Qiang Yang - His research interests include Internet of Things, autonomous vehicular system, network security and privacy.

Xiaohui Yuan - His research focuses on Computer Vision, Activity Recognition, Deep Learning, and Bioinformatics.

Department of Electrical Engineering

Shengli Fu - His research is primarily focused on coding and information theory, wireless communications, space-time coding, and speech and visual signal processing. He aims to develop advanced communication techniques to provide efficient and robust information transmission.

Gayatri Meha - Her research interests are broadly in the areas of electronic design automation, reconfigurable computing, low-power VLSI design, system-on-a chip design, embedded systems, and portable/wearable computing.

Kamesh Namudri - Dr. Namaduri primary research interests are: UAV Networks and Communications, Rate Distortion Analysis, Consensus Building in Distributed Systems, Video Surveillance, and Secrecy Capacity.

Department of Material Science 

Andrey Voevodin - Dr. Voevodin’s expertise includes materials and processes for tribology, wear and corrosion protection, thermal interfaces, nanoelectronics. His current research group is advancing technologies for UAS propulsion reliability and flexible sensors and electronics for the use with UAS and other platforms under ARL and AFRL sponsorship.

College of Science

Michael Monticino - He has worked with a variety of private companies and government agencies, applying sophisticated analytics to obtain solutions to complex operational and management problems. He has also served in multiple roles as a university administrator, implement significant organizational change, advanced research programs, and developing education programs to support the next generation workforce.

College of Health and Public Service

Gary Webb - His research focuses on organizational preparedness for and response to extreme events, and he is the co-author of Introduction to Emergency Management.

Tristan Wu - His primary research has focused on the mental model of disaster risk information search, information content and protective action decision making.

Professional Societies and Affiliations


Funding and Sponsors

Our faculty have received several grants from the NSF, NSA, Western Social Science Association, Bloomberg Data Science, Department of Energy, Amazon, Cisco, Nvidia, Xilinx, Texas Advanced Research Program (ARP), Oak Ridge National Lab, NSF, Texas Department of Transportation, and more.