Meet the team behind the research.

Douglas A. Brooks, Ph.D., PMP

Assistant Director - Research and Development
Artificial Intelligence Department
Southwest Research Institute

Industry Profile:

https://www.linkedin.com/in/douglas-brooks-phd-pmp-50596628/

Publications:

https://scholar.google.com/citations?hl=en&user=yJm5L94AAAAJ

Recent Honors and Awards:

• Former member of NC State Board of Education
• Featured on the Discovery Channel for M.S. Thesis Research
• NASA Harriet G. Jenkins Fellow; 2011 Empowering Leadership Alliance (ELA) Poster Award
  Winner
• 2013 IEEE ICORR Podium Paper Presentation
• Leadership San Antonio (LSA) 2020 Class 45.

Research Areas:

Intelligent Robotic Systems

Amanda Fernandez, Ph.D.

Assistant Professor
Department of Computer Science, UTSA

Academic Profile:

https://sciences.utsa.edu/faculty/profiles/fernandez-amanda.html

Industry Profile:

https://www.linkedin.com/in/amandasdfernandez/

Publications:

https://scholar.google.com/citations?hl=en&user=2UJTwuwAAAAJ

Research Group:

https://sites.google.com/view/amandafernandez/research/vision-ai-lab

Recent Honors and Awards:

• Patent on “Authentication based on through-body signals” (2023)
• $5 million renewal grant from DOE for UTSA-led Consortium on Nuclear Security Technologies (CONNECT) (2022)
• Senior Member of the National Academy of Inventors (NAI) (2022)
• Patent on “System for automatic vision correction in near-to-eye displays” (2022)

Research Areas:

Deep Learning, Computer Vision, Adversarial Learning and Applications in the Physical Sciences such as Nuclear Materials and Synthetic ECG Generation.

Peter Fox, M.D.

Professor, Director, Research Imaging Institute Departments of Radiology, Neurology, Psychiatry, and Physiology
UT Health San Antonio

Academic Profile:

https://lsom.uthscsa.edu/physiology/team-member/peter-t-fox-m-d/

Industry Profile:

https://www.linkedin.com/in/peter-fox-0938a0146/

Publications:

https://scholar.google.com/citations?hl=en&user=Au7CXkkAAAAJ

Research Group:

https://www.michaeljfox.org/researcher/peter-thornton-fox-md

• BrainMap Project

Research Areas:

Neuroscience, neuroimaging, imaging, TMS, meta-analysis

Fidel Santamaria, Ph.D.

Professor
Department of Neuroscience, Developmental and Regenerative Biology, UTSA

Academic Profile:

https://sciences.utsa.edu/faculty/profiles/santamaria-fidel.html

Industry Profile:

https://www.linkedin.com/in/fidel-santamaria-09873115/

Publications:

https://scholar.google.com/citations?hl=en&user=7zf6DMEAAAAJ

Research Group:

http://www.utsa.edu/SantamariaLab/

Research Areas:

Computational neuroscience, biophysics, fractional calculus, cerebellar function in health and disease, electrophysiology

Gabriela Ciocarlie, Ph.D.

Vice President for Securing Automation and Secure Manufacturing Architecture,
CyManII, UTSA

Associate Professor
Department of Electrical and Computer Engineering, UTSA

Academic Profile:

https://ceid.utsa.edu/gciocarlie/

Industry Profile:

https://www.linkedin.com/in/gabriela-ciocarlie-62a1774/

Publications:

https://scholar.google.com/citations?hl=en&user=w4dzwfQAAAAJ

Research Group:

https://cymanii.org/

Panagiotis (Panos) Markopoulos, Ph.D.

Associate Professor, Klesse Endowed Professor
Department of Electrical and Computer Engineering, UTSA

Academic Profile:

https://klesse.utsa.edu/faculty/profiles/markopoulos-panagiotis.html

Industry Profile:

https://www.linkedin.com/in/panagiotis-panos-markopoulos-ph-d-750b5842/

Publications:

https://scholar.google.com/citations?hl=en&user=8NPXGZkAAAAJ

Research Group:

https://www.meloslab.org/

Recent Honors and Awards:

• Young Investigator Program (YIP) Award, Air Force Office of Scientific Research (AFOSR) (2020)
• Exemplary Performance in Research, Kate Gleason College of Engineering, RIT (2019)
• Exemplary Performance in Teaching, Kate Gleason College of Engineering (KGCOE), RIT (2019)
• Exemplary Performance in Research, Kate Gleason College of Engineering, RIT (2018)
• Runner-up Poster Award, IEEE Western New York Image and Signal Processing Workshop, for the paper “Gait recognition based on tensor analysis of acceleration data from wearable sensors (2018)
• Exemplary Reviewer, IEEE Communications Society (2017)

Research Areas:

Efficient and Robust Machine Learning, Continual and Federated Learning Systems, Data Science, and Signal Processing. His research mission is to advance efficient, explainable, and trustworthy artificial intelligence. Dr. Markopoulos focuses on fundamental machine learning (statistical, computational), but also on practical machine-learning solutions to a wide range of real-world problems, such as remote sensing, computer vision, communication systems, and healthcare technology.