Sorour Mohajerani
Geospatial R&D Developer
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolSorour Mohajerani is a Geospatial R&D Developer based in Vancouver with eight years of experience applying machine learning and image processing to remotely sensed data. Currently at Blue Marble Geographics, she translates cutting-edge research into practical tools for satellite and aerial imagery analysis, building on prior roles at UrtheCast and academic research at Simon Fraser University. Her background in electrical and electronics engineering (BSc, MSc) and ongoing PhD in Engineering Science give her a strong foundation in signal processing and systems engineering that informs her ML work. Comfortable across research and production, she has hands-on experience across the full software lifecycle for ground-segment and geospatial systems. Colleagues describe her succinctly: “Doing R&D stuff for a living,” which captures her blend of curiosity-driven experimentation and delivery-focused engineering.
8 years of coding experience
8 years of employment as a software developer
Amirkabir University of TechnologyMaster of Science (MSc), Electrical and Electronics Engineering, Master of Science (MSc), Electrical and Electronics Engineering at Iran University of Science and TechnologyDoctor of Philosophy (PhD), Engineering Science, Doctor of Philosophy (PhD), Engineering Science at Simon Fraser University
Github Skills (84)
generative-adversarial-network10
loss-functions9
computer-vision9
datasets9
computer-graphics9
satellite9
cyclegan9
satellite-imagery9
segmentation9
data-set9
pixel9
landsat9
image-manipulation9
open-data9
object-detection8
Programming languages (4)
Github contributions (5)
SorourMo/Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection
Jul 2019 - Jan 2021
A semantic segmentation CNN for cloud detection
Contributions:14 commits, 3 PRs, 12 pushes in 1 year 5 months
semantic-segmentationdeep-learningcnn-segmentationobject-detectioncomputer-vision
SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset
Feb 2019 - Jun 2020
This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.
Contributions:78 commits, 1 PR, 73 pushes in 1 year 5 months
data-setobject-detectioncomputer-visioncloud-detectionlandsat-8
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