Research Labs

Biocomputing Research Group is developing bioinformatics tools and applying these revolutionary technologies to critical scientific and engineering applications related to biology.

Faculty: Xuan Guo
Website: https://guo-xuan.github.io/

We use machine learning to advance medicine, with a history in wearable device analytics to aid clinicians in the treatment of mobility disorders, as well as broadly using AI to improve health outcomes.

Faculty: Mark Albert
Website: https://www.biomed-ai.com/

The lab’s research goal is to develop open source integrative computational tools to analyze high dimensional biological, clinical and environmental exposure datasets to infer context-specific gene regulatory interactions and modules, and to predict disease associated genes and patient-specific drug response.

Faculty: Serdar Bozdag
Website: https://engineering.unt.edu/cse/research/labs/biocomp

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.

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.

Faculty: Rodney Nielsen
Website: https://engineering.unt.edu/cse/research/labs/hilt/

The 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

The lab 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

Our research interest lies in responsible AI, generative AI, and data privacy.

Faculty: Yunhe Feng
Website: https://yunhefeng.me/

Our research focuses on AI for equitable, robust and efficient decision making, integrating methods from machine learning, optimization, and social networks.

Faculty: Jing Yuan

The lab focuses its work on researching multithreaded and multicore architectures for both embedded and high-performance applications. Research includes work in processing architectures, memory systems, cache memories and software tools to utilize the special capabilities of underlying hardware systems, and in developing both hardware and software solutions to improve performance, reduce energy consumption and prevent security breaches.

Faculty: Krishna Kavi
Website: https://engineering.unt.edu/cse/research/labs/csrl/

The Dependable Computing Systems Laboratory conducts research on failure modeling, failure management, adaptive failure resilience, failure-aware resource management, and power-aware dependable computing. The lab conducts both fundamental and applied research to develop highly dependable and energy-efficient distributed and cloud computing systems.

Faculty: Song Fu

The Energy-Efficient High Performance Computing Laboratory focuses on designing computer systems that achieve high performance with limited power budgets. Our research spans across multiple areas of micro architecture design, which includes embedded systems, multi-core processors, memory hierarchies, on-chip interconnections and accelerators.

Faculty: Hui Zhao

The Smart Electronic Systems Laboratory (SESL) conducts research in Smart Electronics for the efficient realization of Internet-of-Things (IoT) based components for Smart Cities.

Faculty: Saraju Mohanty

The lab was established with the following mission: to increase general wireless communications awareness among computer science and engineering graduates, produce skilled wireless specialists, and conduct research and development activities to advance the state-of-the-art in wireless sensors.

Faculty: Robert Akl

The lab was established to increase general wireline and wireless network security awareness of computer science and engineering graduates, to produce skilled security specialists, and to conduct research and development activities to advance the state-of-the-art in wireline and wireless network security and communication.

Faculty: Ram Dantu, Kirill Morozov
Website: https://engineering.unt.edu/cse/research/labs/nsl/

The lab's mission is to conduct cutting-edge research in advanced techniques concerning Visual Computing and Biometric Security.

Faculty: Ajita Rattani
Website: https://vcbsl.github.io/lab-website/

The Laboratory for Recreational Computing (LARC) serves as a center for research, education and development in the field of video game programming.

Faculty: Ian Parberry
Website: https://larc.unt.edu/

The lab explores advances in software engineering through the areas of compiler design, domain-specific programming languages, human-computer interaction, logic programming, model-driven engineering, and software testing.

Faculty: Renee Bryce, Hyunsook Do, Stephanie Ludi, Paul Tarau