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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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Awards

NASA Inventions and Contributions Board Award

NASA Inventions and Contributions Board Award for AutoChem software

AutoChem TechBrief Certificate of Recognition January 27, 2005
AutoChem TechBrief Certificate of Recognition January 27, 2005
January 27, 2005

Published by djl101000

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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