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Institutes and Centers

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CYBER SECURITY RESEARCH AND EDUCATION INSTITUTE

Director: Dr. Kevin Hamlen
Website

The Cyber Security Research and Education Institute is dedicated to conducting focused research and education that help prevent, detect and solve cybercrimes.

UT Dallas is an NSA/DHS National Center of Academic Excellence in Cyber Defense Education and Research as well as Cyber Operations. 

For more detailed information about the Cyber Security Research and Education Institute (CSI), please click here.

HLT LogoHUMAN LANGUAGE TECHNOLOGY RESEARCH INSTITUTE

Director: Dr. Sanda Harabagiu
Website

Human language technology incorporates a broad spectrum of disciplines working toward two closely related goals:

  1. Enabling computers to interact with humans using natural language capabilities
  2. Enabling computers to serve as useful assistants to humans by providing services such as automatic text understanding and retrieval, information extraction and question answering, automatic translation, and speech recognition

The institute includes six research centers: the Center for Basic Research in Natural Language Processing, the Center for Emerging Natural Language Applications, the Center for Machine Learning and Language Processing, the Center for Search Engines and Web Technologies, the Center for Text Mining, and the InterVoice Center for Conversational Technologies.

IDA ImageINSTITUTE FOR DATA ANALYTICS

Director: Bao Tran
Website

We operate a world-class organization in data analytics that serves the students and faculty of the University of Texas at Dallas as well as the external organizations that sponsor our work. Our goal is to provide extraordinary service to our clients, funded research opportunities for our faculty, and employment opportunities for our students.

EMBEDDED SOFTWARE CENTER

 

Director: Dr. Farokh Bastani
Website

The Embedded Software Center in the Erik Jonsson School of Engineering and Computer Science is an industrial/academic collaborative center for advanced research to dramatically increase the productivity and quality of complex embedded applications.

The center is developing sophisticated tools and techniques for integrating reliable embedded software systems from third-party components. The goal is to increase productivity by compressing time-consuming steps in the software development process. Eventually, this will enable domain experts to rapidly assemble an application from existing components using small amounts of in-house software to interface with third-party components. The center is also investigating advanced tools to enhance the reliability, security, adaptability, and performance of embedded applications.

To achieve this vision, the center is developing a COTS-aware requirements engineering methodology to adapt product concepts in order to maximize the use of existing components and preempt quality problems. A web-based component management system is being developed to automatically track software components, facilitate component customization, and automatically synthesize glue code and design templates. A design methodology is being investigated to provide significant reliability and customizability gains through the decomposition of complex monolithic systems into parts that can be independently implemented, validated, and customized. The center is developing tools to support the methodology, including specialized reliability and security enhancement tools and a framework for adapting the system to changes in the environment without sacrificing performance.

The research is being evaluated using prototype development with periodic demonstration projects to assess the technology and measure the productivity and quality gains. The center is working with its industrial partners, currently Alcatel USA and Texas Instruments, for technology transfer and more in-depth demonstration projects.

STQA LogoCENTER FOR SOFTWARE TESTING

Director: Dr. Eric Wong
Website

The center’s primary objective is to promote further research and develop advanced cutting-edge technologies, with user-friendly tool support, for technology transfer. We will focus on closing the gap between the state-of-art research conducted in an academic setting and the state-of-practice techniques used in the field. We will assist practitioners, no matter what their previous level of experience with software testing and quality assurance, to be quickly brought up to speed on the necessary background knowledge and gain the ability to apply a cost-effective set of procedures tailored to their specific projects.

iperformlogo2IPERFORM: CENTER FOR ASSISTIVE TECHNOLOGY (AT) TO ENHANCE HUMAN PERFORMANCE

Director: Dr. Ovidiu Daescu
Website

This center works to bring together university and industry researchers to advance basic and applied research in Assistive Technologies in order to enhance human performance. Researchers at the I/UCRC iPerform Center currently are working on computer-based tools and methods to increase, maintain, or improve the functional capabilities of people with disabilities and to enhance the productivity of well-bodied people.    Assistive technologies have a wide variety of applications, from improving workplace safety and training to enhancing sensory and cognitive capabilities, and delaying physical and cognitive decline in chronic conditions. In health care environments, Assistive Technologies tools can enhance sensory and cognitive capabilities, improve training & delivery, enable remote monitoring, delay physical and cognitive decline in chronic conditions, and personalize rehabilitation. Click here to learn more about the I/UCRC iPerform Center.

25232236184_c95a8d95b3_mCENTER FOR CS EDUCATION AND OUTREACH

Director: Dr. Jey Veerasamy
Website

The center’s mission is to introduce the magical world of Computer Programming in an enjoyable manner to every school student in the greater Dallas area and beyond.

UT DiiSC HeaderTHE DALLAS INSTITUTE FOR INTERACTIVE AND SPATIAL COMPUTING (UT-DIISC)

Director: Dr. B. Prabhakaran
Website

The goal of the University of Texas Dallas Institute for Interactive and Spatial Computing is to incorporate activities in a broad spectrum of disciplines such as computational geometry, computer graphics, high-dimensional data analysis, human-computer interaction, information visualization, multimedia, and virtual reality. These activities enhance knowledge and human performance through bioinformatics, physically-based modeling and simulation, and training and education applications.

 

THE CENTER FOR MACHINE LEARNING

 

The Center for Machine Learning is housed in the Department of Computer Science within the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas. The Center’s mission is to foster excellent research and development of machine learning algorithms motivated by challenges from real work domains ranging from precision health to natural language understanding, from biology to social network analysis and from vision to mobile health. The center’s core team consists of researchers whose expertise lies in relational models, probabilistic modeling, combinatorial optimization, active learning, logic-based learning, human-in-the-loop learning, reinforcement learning, supervised learning and data mining. The research emphasis of the center implies it is synergistic with the Human Language Technology Research Institute and the Cyber Security Research and Education Institute. Furthermore, the center will promote outreach and educational activities in machine learning and AI, such as a summer school for students from other universities who are interested in this area.

 

THE CENTER FOR APPLIED AI AND MACHINE LEARNING

 

The Center for Applied Artificial Intelligence and Machine Learning (CAIML) is housed in the Department of Computer Science within the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas. The center’s mission is to create a center of excellence skilled in applying leading-edge AI & ML technologies and solutions for our partners’ strategic products and services. The objective of the Center for Applied AI and Machine Learning is to develop long-term, ongoing joint activities through research and development partnerships with companies and organizations in the Dallas Fort Worth Metroplex area and Texas. CAIML’s aim is to focus on applied R&D rather than on basic research with the intent of being integral rather than ancillary wherever possible.
Department of Computer Science