Faculty Communities of Interest
The University of Texas at Dallas (UTD) faculty Communities of Interest (COI) are sponsored by the Office of Research through the Applied Research Center (ARC). The COI program provides a long-term framework to help industry and government sponsors access faculty research while helping faculty build the relationships and understanding needed to successfully compete in government/industry basic and applied research.
ARC COI and Capabilities Facilitate Sponsor Solutions from Proposal to Project to Transition
Current ARC Communities of Interest
- Big Data and Analytics
- Command, Control, Communications, and Computers, and Intelligence (C4I)
- Communications and Networking
- Sensors, Materials and Processing
- Human Factors
- Analog Devices
Positioning for a successful program requires understanding project needs, developing integration strategies for project results, and fostering long-term relationships.
Big Data and Analytics
The Big Data and Analytics COI focuses on the tools and techniques required to analyze, visualize, manage and secure large data sets. Analysis of these data sets can be utilized to provide predictive outcomes and detailed insights into business and government applications in healthcare, telecommunications, finance, and economics.
Command, Control, Communications, Computers, and Intelligence (C4I)
The C4I COI focuses on autonomous and cyber-physical systems. Expertise in machine vision, locomotion, sensors, optimization, and control theory drives applications in robotics, networked agents, autonomous vehicles, and image processing.
Communications and Networking
The Communications and Networking COI focuses on signal processing, software-defined radio, physical layer, wireless communications, and mobile and optical networking. Deep theoretical investigations in information theory, network flow optimizations, and signal protocols support applications in all aspects of communication and networking.
Sensors, Materials and Processing
The Sensors, Materials, and Processing COI focuses on simulation and development of new materials, processes, devices, and sensors. Applications span a large space including improved transistors, optoelectronic devices and integrated photonics, nano- and micro-electrical mechanical systems, and cutting-edge materials such as graphene.
The Human Factors COI focuses on aspects of how we understand and communicate human experience using language, facial expressions, movement, memory, and sound. Advanced speech analysis and language processing, video analytics, body sensor networks, and audio signal processing are utilized towards improving technology and enhancing our understanding of natural processes.
The Cybersecurity COI focuses on cutting-edge, novel solutions for emerging threats in the accelerating world of cybersecurity. Modern information security encompasses hardware, software, artificial intelligence, mobile and fixed networks, as well as new applications such as cloud and distributed platforms, advance encryption techniques and game-theory, and risk-based analysis.
The Analog Electronics COI makes the wide range of TxACE faculty’s world-class analog and RF expertise available to academia, government, and industry, focusing on RF testing, device characterization, and research applications. A state-of-the-art RF Testing and Device Characterization Laboratory is supported by six faculty members to provide unique capabilities to sponsors.
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