David Lary, PhD

BrainHealth Investigator Professor of Physics, Hanson Center for Space Sciences Founding Director, MINTS

The thread running through all of Dr. David Lary's research is preemptive human protection and holistic sensing in service of society using machine learning and data-driven insights, using observation and automation to facilitate discovery, with a focus in human health. The sensing spans multiple scales – from wearable sensors of cognitive performance, to autonomous robotic teams, to remote sensing from satellites.

David Lary's printable bio

With more than 100+ peer-reviewed articles, Dr. Lary focuses on providing actionable insights with multiuse, multi-scale integrated interactive intelligent sensing and simulation in service of society.

Machine Learning Applications for Earth Observation

This paper is a review of machine learning applications in Earth science.

Autonomous Learning of New Environments With a Robotic Team Employing Hyper-Spectral Remote Sensing

An autonomous robotic team can learn the characteristics of environments, advancing machine learning algorithms faster than ever before.

AI (Artificial Intelligence) concept. Deep learning. GUI (Graphical User Interface)

Modeling Autonomic Pupillary Responses from External Stimuli Using Machine Learning

Researchers developed a model to predict pupil size using environmental and biometric data.

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Biography

Honors and Awards

2021	Adjunct Professor of Military/Emergency Medicine, Uniformed Services University of the Health Sciences
2021	Center for Brain Health Investigator, The University of Texas at Dallas
2019	Affiliated Faculty in Bioengineering, The University of Texas at Dallas
2018	Awarded one of the 7th Annual Green Source DFW Sustainable Leadership Awards
2018	United States Special Operations Command Fellow, SOFWERX, J5 Futures Missions Directorate
2017	Adjunct Professor in Data Science and Machine Learning, Southern Methodist University
2014	US Ignite Award for THRIVE (Timely Health Indicators using Remote Sensing & Innovation for the Vitality of the Environment)
2013	Adjunct at Veterans Administration North Texas Health Care System
2012	Adjunct Professor School of Public Health, University of North Texas Health Science Center and UNT Health
2012	Adjunct Professor GIS, The University of Texas at Dallas
2012	Adjunct Professor Baylor University, Center for Astrophysics, Space Physics & Engineering Research
2012	Adjunct Professor Department of Electrical Engineering, The University of Texas at Dallas
2010	Appointed as a Scholar of the Institute for Integrative Health
2010	IEEE Geoscience and Remote Sensing Society Letters Prize Paper Award
2010	Scholar of the Institute for Integrative Health, Baltimore MD
2009	Appointed to the NASA GSFC Deputy Director's Council on Science, NASA GSFC, Greenbelt, MD
2008	NASA Group Achievement Honor Award, NASA GSFC, Greenbelt, MD
2007	Appointed to the NASA GSFC Science Directors Council, NASA GSFC, Greenbelt, MD
2007	Appointed to the NASA GSFC Deputy Director's Council on Science, NASA GSFC, Greenbelt, MD
2005	NASA Space Act Award, NASA GSFC, Greenbelt, MD
2005	NASA Inventions and Contributions Board Award, NASA GSFC, Greenbelt, MD
2005	NASA Space Act Award, NASA GSFC, Greenbelt, MD
2004	NASA Tech Briefs Award for Creative Development of a Technical Innovation, NASA GSFC, Greenbelt, MD
2002	NASA Data Assimilation Office Special recognition Award, NASA GSFC, Greenbelt, MD
2001	The First Distinguished NASA Goddard Fellow in Earth Science
1998	Alon Fellowship, University of Tel Aviv, Tel Aviv, Israel
1996	Royal Society Fellowship, University of Cambridge, Cambridge, England
1986	Sambrooke Exhibition Prize for Natural Science for Best Student in Natural Science, King's College London

Comprehensive Holistic Sensing of the Environment

University of Texas at Dallas: Synergistic Robots for Safety Surveys Ross Problem Statement: Cooperating robots for area reconnaissance: Leverage cooperating air and ground robots to enter a space and conduct CBR surveillance autonomously.

Cognitive Performance and the Environment

Dr. David Lary introduces his research into the use of machine learning and holistic biometrics for examining the impact of the environment on cognitive performance.

Contact Info

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Phone Number

214.498.3866

David.Lary@utdallas.edu