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Human language technology incorporates a broad spectrum of disciplines working toward two closely related goals:
- Enabling computers to interact with humans using natural language capabilities
- 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.
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 who 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.
The Center is designed to maintain a mechanism whereby the university environment can be used to collectively promote and undertake research, education, technology development, technology transfer, and technological workforce development to enable the nation to transition into the new, net-centric operations paradigm.
Net-centric systems offer a computing model for a variety of critical emerging applications, including Internet of Things (IoT) and distributed applications that are dynamically composed, verified, and validated in the field in real-time using highly reliable services. The net-centric systems researchers in the Computer Science Department are focused on issues related to various aspects of distributed embedded systems, including investigation of core technologies, middleware, and net-centric applications. The core technologies encompass cyber-physical cloud computing platforms, multi-core computing and power management techniques, secure communication and storage techniques, and other foundational research to support the deployment of a variety of different classes of net-centric applications. The middleware aspect includes research on efficient and robust frameworks to support the deployment of highly dependable embedded net-centric systems. A broad range of applications are being investigated, including command and control systems, emergency response systems, health care systems, and various applications of real-time cloud computing systems.
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.
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 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.
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 lie 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.