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Hi there! I'm Umar πŸ‘‹

πŸ§‘β€πŸŽ“ Computer Vision Researcher (Medical Imaging) at the Hong Kong Industrial Artificial Intelligence & Robotics Centre (FLAIR)

I have a keen interest in Autonomous Mobility and the intersection of Medical Imaging and Artificial Intelligence, particularly focusing on:

  • Medical Image Analysis 🩺
  • Computer-Aided Diagnosis πŸ‘¨πŸ»β€πŸ’»
  • Machine and Deep Learning 🧠
  • Wireless Technologies πŸ›œ
  • Computer Vision πŸ€–

βš™οΈ Tech Stack

Programming Languages

C C++ HTML5 CSS3 Python R

Favorite IDE/Editors

Visual Studio Code Sublime

Frameworks, Platforms and Libraries

Anaconda Matlab Octave OpenCV Raspberrypi Sklearn Flask Tensorflow Pytorch

I am actively seeking collaboration opportunities with researchers for projects related to Wireless Networking, Autonomous Mobility and Medical Imaging. Let's join forces and create something impactful! ❣️

Feel free to reach out to me:


Let's connect and explore the fascinating world of innovation and technology together! 🌐✨

Umar Faooq's Projects

disaster_respose_pipeline icon disaster_respose_pipeline

Data Engineering techniques to analyze the data from Figure Eight to build a classification model for an API that classify the Disaster message into one of the given 36 categories and contact the particular category company to help these peoples.

intro-to-data-science-in-python icon intro-to-data-science-in-python

Repo for the first course of the Applied Data Science with Python Specialization taught by University of Michigan hosted by Coursera

kaggle-commpetition-flower-classification-tpus-petals-to-the-metals icon kaggle-commpetition-flower-classification-tpus-petals-to-the-metals

Welcome to the Petals to the Metal competition! In this competition, you’re challenged to build a machine learning model to classify 104 types of flowers based on their images. In this tutorial notebook, you'll learn how to build an image classifier in Keras and train it on a Tensor Processing Unit (TPU). At the end, you'll have a complete project you can build off of with ideas of your own.

machine_learning icon machine_learning

Implementation of Machine Learning Algorithms to solve real-time problems, in an effective way.

opencv icon opencv

At this part , of openCV I am working the method of SOBEL and LAPLACIAN to find out the edges and gradient on an image.

opencv_methods icon opencv_methods

At this part , of openCV I am working the method of SOBEL and LAPLACIAN to find out the edges and gradient on an image.And, also working on an corner detection in it.

real_facial_landmark icon real_facial_landmark

It's real time facial landmark that detect your face points include eyes,nose,lips,etc and make an x,y co-ordinates.

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