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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 Tech Brief Award

NASA Tech Brief Award for Creative development of a technical innovation for AutoChem software

AutoChem Certificate October 27, 2004
AutoChem Certificate October 27, 2004
October 27, 2004

Published by djl101000

View all posts by djl101000

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Previous Previous post: Alon Fellowships for Outstanding Young Researchers
Next Next post: NASA Space Act Award

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