Driving Discovery in AI, Cyber and Computing
The College of AI, Cyber and Computing advances research that addresses today's most pressing technological and societal challenges. Faculty and students engage in pioneering work across artificial intelligence, cybersecurity, computing, and data science with strengths in areas such as generative AI, digital twin technologies, quantum computing, human-computer interaction, neuromorphic AI, predictive healthcare analytics, and ethics in AI. Through interdisciplinary collaboration and strategic partnerships, the college drives innovation that strengthens national security, supports economic growth, and improves lives.
Machine Learning Optimization & Signal Processing (MELOS)
MELOS is under the guidance of Dr. Panagiotis (Panos P.) 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.
ScooterLab is a National Science Foundation (NSF) funded community research infrastructure initiative at the University of Texas San Antonio's School of Data Science. This publicly-available micro-mobility testbed and crowd-sensing/crowd-sourcing infrastructure will provide researchers access to a community of riders and a fully operational fleet of customizable dockless e-scooters. The research team is actively working on developing infrastructure prototypes that can be easily equipped with cutting-edge sensors enabling the real-time collection of detailed research data during rides.
The SPriTELab's mission is for groundbreaking and impactful security and privacy research with the goal of improving humanity's trust and reliance in modern computing systems, applications, and technology. SPriTELab is an acronym for Security, Privacy, Trust, and Ethics in Computing.
