Research Areas
The School of Data Science at San Pedro I encompasses various research sites and centers including the Matrix AI Consortium for Human Well-Being, the Open Cloud Institute and other labs that facilitate both research and education in diverse fields such as bioinformatics, cyber-informed engineering, data engineering, Internet of Things (IoT), robotics, smart transportation and more.
Advanced Data Engineering Lab
The concentrated work of the Advanced Data Engineering Lab is on statistical learning for systems modeling, control, and optimization. The research is strongly data-driven, engineering practices and management science combined with mathematical models and data-driven methods to lead significant changes in complex systems.
The vision for Matrix: AI Consortium for Human Well-Being is to strive for scientific excellence in Artificial Intelligence research and develop holistic solutions that promote human well-being. The goal is to solve challenges with transdisciplinary teams that span academia, government, industry, and healthcare ecosystems to make tangible differences for human well-being.
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.
Open Cloud Institute
The Open Cloud Institute was created in 2015 as part of an initiative to develop degree programs in cloud computing and big data. The focus is now on bringing the latest developments of cloud and edge computing to the university through sponsored seminars, workshops, internships and fellowships, and collaboration activities with other key institutes and centers across UTSA.
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.
Exploring local pandemic effects with data science
UTSA researchers use data science to compare the pandemic's impact on two vastly different neighborhoods in San Antonio.
