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.

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 faster than ever before.

Modeling Autonomic Pupillary Responses from External Stimuli Using Machine Learning
Researchers developed a model to predict pupil size using environmental and biometric data.