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Prof. David John Lary

The University of Texas at Dallas

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    • Physics 5V49-008: Special Topics in Physics
    • PHYS2325-501: Mechanics
    • PHYS5315: Scientific Computing
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Category: Grants

Grants

Grants

Dense Urban Environment Dosimetry for Actionable Information and Recording Exposure (DUE DARE)

Source of Support: U.S. Army Medical Research Acquisition Activity

Award Amount: $558,235

Period Covered: 9/30/2018-9/29/2020

Grant: BAA CDMRP Grant Log #BA170483

September 5, 2018September 25, 2023
Grants

Environmental Sensing Security Sentinels

Source of Support: Texas National Security Network Excellence Fund

Award Amount: $160,000+$25,000 from NSM Dean 

Period Covered: 7/1/2018-6/30/2020

May 10, 2018
Grants

Airborne Multi-Gas Sensor

Continue reading “Airborne Multi-Gas Sensor” →

September 22, 2015
Grants

CICI: Data Provenance: Collaborative Research: CY-DIR Cyber-Provenance Infrastructure for Sensor-Based Data-Intensive Research

Continue reading “CICI: Data Provenance: Collaborative Research: CY-DIR Cyber-Provenance Infrastructure for Sensor-Based Data-Intensive Research” →

September 22, 2015
Grants

GASP: Geolocated Allergen Sensing Platform

Continue reading “GASP: Geolocated Allergen Sensing Platform” →

September 22, 2015
Grants, News

Methane emissions from near-field sources using an electric model aircraft

Continue reading “Methane emissions from near-field sources using an electric model aircraft” →

July 31, 2013
Grants

Undergrad Research Scholar Grants Awarded

Alec Moore was awarded an Undergrad Research Scholar Grant to study Machine Learning and Bias Correction of MODIS Aerosol Optical Depth

November 17, 2011
Grants

Linking NASA Data with Environmental Exposures and Health Outcomes in Theater of War

Continue reading “Linking NASA Data with Environmental Exposures and Health Outcomes in Theater of War” →

August 5, 2011
Grants

Air pollution measurement from satellite data sources at the breathing level of atmosphere

Continue reading “Air pollution measurement from satellite data sources at the breathing level of atmosphere” →

July 1, 2011
Grants

Development of Novel MODIS Global Ocean Data Products: Colored Dissolved Organic Matter (CDOM) and Dissolved Organic Carbon Algorithms

Continue reading “Development of Novel MODIS Global Ocean Data Products: Colored Dissolved Organic Matter (CDOM) and Dissolved Organic Carbon Algorithms” →

July 1, 2011

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Older 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

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The University of Texas at Dallas
The University of Texas at Dallas