David Lary, PhD
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.
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.
This paper is a review of machine learning applications in Earth science.
An autonomous robotic team can learn the characteristics of environments faster than ever before.
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.