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Welcome to my personal GitHub repository.

I'm (Seyed Ali Ahmadi) PhD in Remote Sensing from K.N.Toosi University of Technology, Tehran, Iran (:iran:).

  • 💻 I successfully defended my PhD thesis about using artificial intelligence and very high resolution satellite images for assessing the damage of buildings after natural disasters. Moreover, I'm working on some side projects such as, Earth Observation Satellites Calibration, and Urban Subsidence Monitoring with InSAR.

  • 📚 🌱 I’m currently learning to optimize deep learning algorithms for remote sensing applications such as super resolution, classification, semantic segmentation, object detection and satellite image debluring.

  • 📫 How to reach me: You can always contact me through my email 📧 📮 [email protected]

  • 💙 My interests are remote sensing 🌎, machine learning 🎲, and data science 📈 📊

  • 🥅 Goals: Commercialize some interesting remote sensing applications

  • ⚡ Fun fact: I love astronomy 🔭, playing violin 🎻, hiking 🌄, and cycling 🚴

Connect with me:

earthobserv.com codeSTACKr | YouTube


Languages and Tools:

GitHub

Python

PyCharm

MATLAB

Slack

GoogleEarth

GoogleEarthEngine

QGIS

ENVI



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Seyed Ali Ahmadi's Projects

bda_skunet icon bda_skunet

Repository for "BD-SKUNet: Selective-Kernel UNets for Building Damage Assessment in High-Resolution Satellite Images"

cs231 icon cs231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

digital-image-processing icon digital-image-processing

This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.

firepred icon firepred

Contains codes of the paper "FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction" using environmental variables

jupyter icon jupyter

Jupyter metapackage for installation, docs and chat

python-for-remote-sensing icon python-for-remote-sensing

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

pythonschool icon pythonschool

This is considered to be a place to store useful material for learning Python. It's also the base repo for the Python courses in KNTU.

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