Skip to content
UT Dallas monogram logo
|

Prof. David John Lary

The University of Texas at Dallas

  • Welcome
  • Publications
  • Courses
    • Physics 5V49-008: Special Topics in Physics
    • PHYS2325-501: Mechanics
    • PHYS5315: Scientific Computing
  • Grants
  • Awards
  • Student Opportunities
  • Group
  • News
  • Gallery
  • Machine Learning

Category: Grants

Grants

Grants

AEROSTAT: An Online Platform For The Statistical Inter-comparison of Aerosols

Continue reading “AEROSTAT: An Online Platform For The Statistical Inter-comparison of Aerosols” →

July 1, 2010
Grants

A Global Context for Health Issues Using Remote Sensing Data

Continue reading “A Global Context for Health Issues Using Remote Sensing Data” →

July 1, 2010
Grants

Modeling Studies With Aura MLS Measurements Addressing Partitioning, Consistency, and Long-Term Issues for Atmospheric Constituents

Continue reading “Modeling Studies With Aura MLS Measurements Addressing Partitioning, Consistency, and Long-Term Issues for Atmospheric Constituents” →

April 16, 2010
Grants

Characterizing Pelagic Habitats within U.S. Gulf of Mexico Coastal Waters

Continue reading “Characterizing Pelagic Habitats within U.S. Gulf of Mexico Coastal Waters” →

January 15, 2010
Grants

The impacts of climate change variability on primary productivity and carbon distributions in the mid Atlantic bight and gulf of Maine

Continue reading “The impacts of climate change variability on primary productivity and carbon distributions in the mid Atlantic bight and gulf of Maine” →

January 1, 2010

Posts navigation

Newer posts

Recent Posts

  • Providing Fine Temporal and Spatial Resolution Analyses of Airborne Particulate Matter Utilizing Complimentary In Situ IoT Sensor Network and Remote Sensing Approaches
  • Unsupervised Characterization of Water Composition with UAV-Based Hyperspectral Imaging and Generative Topographic Mapping
  • Quantifying Inhaled Concentrations of Particulate Matter, Carbon Dioxide, Nitrogen Dioxide, and Nitric Oxide Using Observed Biometric Responses with Machine Learning
  • Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction
  • Data-Driven Environmental Health: Unraveling Particulate Matter Trends with Biometric Signals
  • Gauging Ambient Environmental Carbon Dioxide Concentration Solely Using Biometric Observations: A Machine Learning Approach
  • Greenhouse Gas Emissions Information for Decision Making
  • Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales
  • Data-Driven EEG Band Discovery with Decision Trees
  • 7th annual Green Source DFW Sustainable Leadership Awards!
  • DFW air network gets green light from Dallas committee
  • Dense Urban Environment Dosimetry for Actionable Information and Recording Exposure (DUE DARE)
  • Environmental Sensing Security Sentinels
  • Fighting asthma with data
  • Breath Analysis
  • Random Forest Example
  • Airborne Multi-Gas Sensor
  • CICI: Data Provenance: Collaborative Research: CY-DIR Cyber-Provenance Infrastructure for Sensor-Based Data-Intensive Research
  • GASP: Geolocated Allergen Sensing Platform
  • A short course on Big Data & Machine Learning

Professor David J. Lary

School of Natural Sciences and Mathematics

The University of Texas at Dallas

  • Mail
  • Twitter
  • UTD Profile
  • Google Scholar
  • Semantic Scholar
  • Publons
  • LinkedIn
  • Academia
  • ResearchGate
  • ORCiD
The University of Texas at Dallas
The University of Texas at Dallas