Mohammad Pashaei
Assistant Research Scientist at Texas A&M Transportation Institute
San Antonio, Texas, United States
Summary
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Senior🎓
Top SchoolMohammad Pashaei is an Assistant Research Scientist and geospatial computing specialist with nine years of experience applying advanced geomatics, LiDAR, photogrammetry, and multispectral sensing to 2D/3D mapping and environmental monitoring. He holds a PhD in Geospatial Computing Science and has progressed from industry GIS work to postdoctoral research and applied R&D at Texas A&M-affiliated institutes, bridging academic rigor with field-deployable sensor systems. Mohammad develops AI-driven spatial analytics and predictive models for coastal systems, infrastructure assessment, and cultural heritage preservation, often integrating multi-sensor fusion and full-waveform LiDAR techniques. Colleagues describe him as someone who turns complex remote-sensing workflows into practical decision-support tools, and he brings uncommon depth in both airborne/UAS data acquisition and machine/deep learning for spatial pattern recognition.
9 years of coding experience
4 years of employment as a software developer
Amirkabir University of TechnologyMaster of science, Geomatics Engineering/Photogrammetry, Master of science, Geomatics Engineering/Photogrammetry at University of TehranDoctor of Philosophy (PhD), Geospatial Computing Science, Doctor of Philosophy (PhD), Geospatial Computing Science at Texas A&M University-Corpus Christi
Github Skills (11)
hierarchical6
segmentation6
autoencoder6
classification5
point-cloud5
3d4
deep-learning3
pointnet3
photogrammetry2
computer-vision2
pytorch2
Programming languages (2)
Github contributions (3)
MPashaei/Structured-Light-Scanner
Mar 2020 - Mar 2020
A low-cost 3D light scanner based on the Coded Structured Light and Close-range Photogrammetry principles
Contributions:15 commits, 1 PR, 13 pushes in 3 days
3dphotogrammetry
MPashaei/hello-world
May 2017 - May 2017
Contributions:2 PRs, 2 pushes, 3 branches in 1 day
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