Research Facilities

The CLOUDSys Lab aims to conduct transformative research on the Cloud ecosystem, and develop innovative technologies to efficiently solve Big Data and Big Compute problems of today and the next generation.

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.

At CIAS, Dr. Greg White and his group are conducting research in two main areas: cyber security infor-mation sharing and incident detection/response in communities. They have implemented the concept of a Honey-Community as part of this research. The CIAS also hosts cyber security train-ing programs and cyber defense competitions for industry professionals and college/high school students.

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.

Our mission is to advance the research on data management and data mining.

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.

The mission of the Laboratory for Cybersecurity Dynamics is to systematically explore the notion/abstraction of Cybersecurity Dynamics as the Foundation for the ultimately-wanted Science of Cyber Security. We believe Cybersecurity Dynamics is the right abstraction because it not only can deepen our understanding/knowledge, but also can guide the practice of cyber defense operations (including quantitative risk-management and decision making).

Our research interests are in Storage Systems, Networks, Security, Multimedia Systems and Databases. We investigate emerging problems typically spanning multiple systems research areas.

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.

Under the direction of Dr. Raj Boppana, the SNL lab conducts research on the performance analysis, security, and design of high speed computer systems and networks. SNL focuses on analytical models of perfor-mance validated by experiments and simulations and enhancing 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.