Research

Center for Data Science

The Center for Data Science is a leading hub for advancing data-driven discovery and innovation. As part of the College of AI, Cyber and Computing, the Center fosters collaboration among faculty, students and external partners to apply data science to today’s most pressing challenges.

Founding Director: Anthony Rios

Mission: To deliver quality research, training, cyber competitions, exercises and K-12 cybersecurity programs to advance community and organizational cybersecurity capabilities and collaboration.

At CIAS, researchers focus on three primary areas: cybersecurity information sharing, incident detection/response in communities and cybersecurity workforce development. As part of this work, CIAS has implemented the Honey-Community concept to support cybersecurity research. CIAS also hosts cybersecurity training programs and cyber defense competitions for industry professionals, as well as college and high school students. Supporting its workforce development efforts, the Cybersecurity Education and Gaming Lab (CEAGL) operates as part of CIAS.

Location: NPB 3.138

Executive Director: Natalie Sjelin

Mission: Excellence in doctoral-level research across cybersecurity disciplines.

At the ICS, Dr. Ram Krishnan and his team conduct basic and applied research in partnership with academia, government and industry. ICS research leaders bring a deep knowledge of cybersecurity models, architectures, mechanisms and protocols, as well as cyber technologies to their research. ICS has built and operates two world-class academic research laboratories dedicated to studying current and emerging cybersecurity issues.

Location: NPB 3.122

Investigator: Ram Krishnan

Mission: AI-powered communities bring new challenges and opportunities for the well-being of humans.

At MATRIX AI, 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.

Location: SPI 310D

Investigator: Dhireesha Kudithipudi

Mission: To support faculty research activities and projects in cloud computing and data analytics, and to help make UT San Antonio 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.

Providing top-tier cloud support to the university and local San Antonio communities through engagement with student leaders, faculty members and industry.

Location: SPI 310R

Investigator: Jeff Prevost

Mission: Our research focuses on software and hardware co-design of efficient, intelligent and secure computer systems and architectures 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 systems and intelligent algorithms to address the challenges in processing/transmitting unprecedented volumes of data and powering all these devices.

Location: NPB 2.248
Investigator: Mimi Xie

Mission: The AI Trustworthiness Lab is dedicated to identifying and addressing vulnerabilities in modern AI algorithms in terms of all aspects, including privacy, fairness, adversarial robustness and data possession. Our mission is to ensure AI as a tool serves humans in a reliable and principled fashion.

Location: SPI 254
Investigator: Zijie Zhang

Mission: The Bioinformatics Research and Development Group (BRDG - pronounced BRiDGe) at UT San Antonio is committed to developing 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.

Location: SPI 340G
Investigator: Jianhua Ruan

Mission: CloudSys aims to conduct transformative research at the synergistic intersection of Cloud Computing, Edge Computing, Big Data and Cybersecurity.

Location: NPB 2.236
Investigator: Palden Lama

Mission: Founded and led by Ke Yang, the CARE Lab aims at advancing research on algorithmic fairness, AI accountability, XAI and privacy in AI systems.

Location: SPI 254
Investigator: Ke Yang

Mission: This lab conducts research with multiple government and business partners on more sensitive topics related to IoT vulnerability analysis and digital forensics of IoT devices.

Location: NPB 2.262
Investigator: Oren Upton, Jacob Stauffer

Mission: The Engaging Computing Group develops technologies for K-12 students to learn about computing, AI, data science and related ideas, and works with teachers to transform student learning using its inventions.

Location: SPI 340 Neighborhood
Investigator: Fred Martin

Mission: Research at the intersection of software and requirements engineering, legal compliance and privacy, with an emphasis on the elicitation, formalization, verification and validation of requirements in software systems. Data-Driven Software Engineering (DDSE)

Location: SPI 260J
Investigator: Mitra Bokaei Hosseini

Mission: This lab focuses on improving trust and mitigating risk in the IoT systems we use in our everyday lives.

Location: SP1 310S
Investigator: Rocky Slavin

Mission: This lab conducts research with multiple government and business partners on IoT vulnerability analysis and digital forensics of IoT devices.

Location: NPB 2.260 and 2.262
Investigator: Oren Upton, Jacob Stauffer, and Tom Ervin

Mission: The goal of this lab is to make future large-scale, data-intensive systems faster and greener. The 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 management in system software, and inventing new software development techniques to help users write and execute large-scale applications efficiently on Clouds.

Location: NPB 2.230
Investigator: Wei Wang

Machine Learning Optimization & Signal Processing (MELOS)

MELOS is under the guidance of Panagiotis "Panos" Markopoulos.  The focus of the research is dedicated to addressing complex and significant issues in the fields of machine learning, data analysis and signal processing. The overarching goal is to advance the growth of efficient, explainable and reliable artificial intelligence.  Read more about MELOS Lab.

Mission: To study next generation wireline and wireless networks.

Location: NPB 2.242
Investigator: Turgay Korkmaz

Mission:

Location: NPB 2.108; NPB 2.208
Investigator: Sushil Prasad

Mission: This research examines the efficient use of computing system resources to support the various needs of time-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.

Location: NPB 2.234
Investigator: Dakai Zhu

Mission: San Antonio Geometry Algorithms Lab 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.

Location: NPB 2.240
Investigator: Matthew Gibson-Lopez

Mission: The San Antonio Virtual Environments 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.

Location: NPB 2.110
Investigator: John Quarles

Mission: This lab explores security concepts focused on industrial control systems and processes.

Location: NPB 2.152
Investigator: Ian Burres and Rob Kaufman

Mission: ScooterLab is a National Science Foundation (NSF) funded community research infrastructure initiative, currently under development at UT San Antonio. This publicly available micromobility testbed and crowd-sensing/crowd-sourcing infrastructure will provide researchers access to a community of riders and a fully operational fleet of highly customizable dockless e-scooters. The research team is prototyping infrastructure to be easily retrofitted with state-of-the-art sensors in partnership with collaborators, enabling real-time collection of fine-grained research data from micromobility rides.

Location: SPI 108
Investigator: Murtuza Jadliwala

Mission: At the Security, Privacy, Trust and Ethics in Computing (SPriTE) Lab at UT San Antonio, Dr. Jadliwala and his team conduct 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:

• Security of networking protocols and applications
• Security and privacy of cyber and cyber-physical systems and applications
• Privacy quantification and metrics
• Usable security and privacy

In addition, to graduate research and education, the SPriTE Lab is committed to engaging undergraduate and high school students, particularly those from underrepresented groups, in security and privacy research through specialized camps and hands-on opportunities.

Location: SPI 310A
Investigator: Murtuza Jadliwala

Mission: The Society-Based Data Science Lab conducts research to propose novel data-driven solutions to help mitigate grand societal challenges, with a particular focus on the pressing social challenges faced by vulnerable communities.

Location: SPI 332
Investigator: Maryam Tabar

Mission: The laboratory focuses on developing mathematically rigorous specification and verification techniques (formal methods) to improve software dependability.

Location: NPB 2.228
Investigator: Jianwei Niu

Mission: The laboratory focuses on advancing techniques to support software evolution, reliability and security.

Location: NPB 2.220
Investigator: Xiaoyin Wang

Mission: The Systems and Networks Lab conducts research on the performance analysis, security and design of high-speed computer systems and networks. The 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.

Location: NPB 2.206
Investigator: Rajendra Boppana

Mission: 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.

Location: NPB 2.238
Investigator: Kay Robbins

Mission: The Vision & Artificial Intelligence 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.

Location: NPB 2.210; NPB 2.214
Investigator: Amanda Fernandez

Mission: The Vision and Immersive Realities Lab conducts interdisciplinary research with the main focus in the fields of Computer Vision and Immersive (Virtual/Augmented/Mixed) Realities. We develop intelligent systems that can perceive the world in the same way as humans do, by effectively capturing and processing 3D information about the real-world physical environment in real time. Building on the computer vision research, we design 3D immersive virtual environments where the users can remotely collaborate on interactive tasks, specifically for applications intended to improve the quality of human life, such as telerehabilitation, telehealth and virtual STEM laboratories.

Location: SPI 340J
Investigator: Kevin Desai