I'm Sepideh Khakzad.

I'm a Ph.D. Student at Concordia University, Researching on Deep Learning in Medical Image Processing at IMPACT Lab.
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About Me

I’m a dedicated researcher in medical image processing using deep learning. My main focus is micro-bubbles as contrast agents in ultrasound imaging. I have experience in working with many medical imaging equipment such as Verasonic’s Vantage 256. I’ve done multiple machine learning projects using Keras, Tensorflow and Pytorch. I have a deep understanding of machine and deep learning mathematics and statistics with proven high scores in related courses from recognizable institutes.

Contact Details

EV10.101, 1515 Saint-Catherine St W,
Montreal, Quebec H3G-2W1
sepidehkhakzad@gmail.com
(+1)438-338-3574

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Education

Concordia University Montreal, Ca

Doctorate of Philosophy - Ph.D. in Electrical and Computer Engineering
Sep. 2021 - Present

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Sharif University of Technology Tehran, IR

Master of Science - M.Sc. in Electrical Engineering
Sept. 2019 - Aug. 2021

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K. N. Toosi University of Technology Tehran, IR

Bachelore of Science - B.Sc. in Electrical Engineering
Sept. 2014 - Oct. 2018

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Experience

IMPACT Lab at Concordia University

Research Assistant
Sept. 2021 - Present

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Sharif University of Technology

Teaching Assistant
Feb. 2021 - May. 2021

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Fault Detection and Identification Lab at K. N. Toosi University of Technology

Research Assistant
Feb. 2018 - Sept. 2018

Fault detection and identification of blade’s pitch in wind turbines using C-NN, working on Artificial Intelligence and Deep Neural Networks using Python.

Skills

  • Python
  • Matlab and Simulink
  • PyTorch
  • Keras
  • Tensorflow
  • Image Processing

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A Few Of My Latest Creations

Favourite Quotes

It is during our darkest moments that we must focus to see the light.

Aristotle