AI-powered communities bring new challenges and opportunities for the well-being of humans.
At MATRIX, we share a common vision to solve these challenges by fostering transdisciplinary teams that span academia, government, industry, and healthcare ecosystems to make tangible differences for human well-being. Emphasis will be laid on diversifying the profession by cultivating a highly competent and inclusive AI workforce.
At the ICS, Dr. Ravi Sandhu and his team conducts basic and applied research in partnership with academia, government, and industry. ICS research leaders bring a deep knowledge of cyber security models, architectures, mechanisms and protocols, as well as cyber technol-ogies to their research. ICS has built and operates two world-class academic research laboratories dedicated to studying current and emerging cyber security issues.
Support faculty research activities and projects on cloud computing and data analytics and help make UTSA the top choice in Texas for education and research in cloud computing.
Develop collaborations with industry and other academic institutions to bring the latest technologies and extramural funding in cloud computing to the University.
At CIAS, Dr. Greg White and his group are conducting research in three main areas: cyber security information sharing, incident detection/response in communities, and cybersecurity workforce development. They have implemented the concept of a Honey-Community as part of this research. The CIAS also hosts cyber security training programs and cyber defense competitions for industry professionals and college/high school students. The Cybersecurity Education and Gaming Lab (CEAGL) is a part of the CIAS in its workforce development effort.
The CloudSys lab aims to conduct transformative research at the synergistic intersection of Cloud Computing, Edge Computing, Big Data and Cyber Security.
Our research focuses on software and hardware co-design of efficient, intelligent, and secure computer system and architecture in the broad area of Internet-of-Things (IoT). We are taking an interdisciplinary effort spanning cutting-edge topics including emerging non-volatile memory technology, intermittently powered system, and intelligent algorithms to address the challenges in processing/transmitting unprecedented volume of data and powering all these devices.
The Bioinformatics Research and Development Group (BRDG - pronounced BRiDGe) at UTSA is committed to develop state-of-the-art data-analytical algorithms and tools to make complex and massive biological data more understandable and useful. Our research combines data mining, machine learning, and graph theoretical methods and we collaborate frequently with biologists for applications on real data addressing important biomedical research problems.
CEAGL is dedicated to the development of methods to provide cybersecurity training and education. In particular, the lab is exploring methods to utilize games and gaming technology to enhance the cybersecurity training and education experience. CEAGL resides under the CIAS and is a major player in its workforce development effort.
Our mission is to advance the research on data management and data mining.
The goal of Dr. Wei Wang's lab is to make future large-scale data-intensive systems faster and greener. Their research falls in the intersections of Cloud Computing, system software, computer architecture and software engineering. Their current investigations include redesigning data centers with novel energy-efficient hardware, improving hardware management and data man-agement in system software, and inventing new software development techniques to help users write and execute large-scale applications efficiently on Clouds.
To study next generation wireline and wireless networks.
We study efficient usage of computing system resources to better serve the various needs of timing constrained applications through system modeling, design of scheduling algorithms, and performance analysis and evaluations. The ultimate objective of our research is to make the right use of computing resources for the right application at the right time!
SAGA develops cutting edge techniques and algorithms and techniques for upcoming and long-standing problems in computational geometry. We provide geometric solutions to problems that are motivated by important applications such as medical image segmentation, building surveillance, and cloud computing.
The SAVE lab conducts research in augmented, mixed, and virtual reality (VR) and applies this technology to real world applications such as, medical training, education, rehabilitation, and exercise. The goal is to create new human-computer interfaces, immersive games, and simulations that will have a positive impact on the world.
At the Security, Privacy, Trust and Ethics in Computing (SPriTE) lab at UTSA, Dr. Jadliwala and his team conducts basic and applied research in all areas related to systems and network security and privacy. Our current research investigations primarily span one (or more) of the following four areas: (1) security of networking protocols and applications, (2) security and privacy of cyber and cyber-physical systems and applications, (3) privacy quantification and metrics, and (4) usable security and privacy. Besides graduate research and education, an important mission of UTSA SPriTE lab is to involve undergraduate and high-school students (esp., minority and under-represented students) in security and privacy research by means of specialized camps and research opportunities.
The laboratory focuses on developing mathematically rigorous specification and verification techniques (formal methods) to improve software dependability.
The laboratory focuses on advancing techniques to support software evolution, reliability, and security.
The SYN lab conducts research on the performance analysis, security, and design of high-speed computer systems and networks. The SYN Lab focuses on analytical models of performance validated by experiments and simulations and enhancing the security of computer systems and networks by redesigning hardware support and communication protocols.
Our goal is to understand the world through data. We combine visualization, machine learning, various modeling techniques, and advanced data infrastructure to look at problems in new ways.We build tools that integrate a variety of techniques with usable interfaces to make new analysis accessible.
The Vision & AI Lab conducts research in computer vision and learning. We develop techniques for designing, implementing, and reasoning about machine and deep learning models, with applications in digital media. Our objective is to improve the security and performance of visual computing, and explore applications in the physical sciences.
