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Ali Abedi

Machine Learning

Deep Learning

Data Science

Software Development

AI in Healthcare

About Me

Expert in machine learning, deep learning, and computer vision with over seven years of research and development experience. A proven track record of delivering AI-driven software solutions. Ph.D. in Electrical Engineering and Computer Science, showcasing a robust technical and inventive foundation.

Experience
2023 - Present
Scientific Associate - University Health Network

Developing machine-learning, deep-learning, and computer-vision-driven software platforms for healthcare

2022 - 2023
Machine Learning Engineer - University Health Network

Full-stack development of mobile and wearable AI-driven applications

2022 - 2023
Postdoctoral Researcher - Institute for Clinical Evaluative Sciences

Developing machine-learning models and statistical analysis for big tabular data

2020 - 2022
Postdoctoral Fellow - University of Toronto

Developing machine-learning and deep-learning models for video and time series analysis and recognition

2017 - 2020
Machine-Learning Engineer - Quark System

Developing Computer-Vision Algorithms for Document Image Analysis and Recognition

Education
2020 - 2022
Postdoctoral Fellowship - University of Toronto

Artificial Intelligence in Healthcare and Rehabilitation

2011 - 2016
Ph.D. in Electrical Engineering and Computer Science - Tarbiat Modares University

Machine Learning and Computer Vision Techniques for Image Super Resolution

2007 - 2009
M.Sc. in Electrical Engineering and Computer Science - Amirkabir University of Technology

Machine Learning and Computer Vision Techniques for Document Image Analysis and Retrieval

2002 - 2007
B.Sc. in Electrical Engineering - Amirkabir University of Technology

Simulation of a Code-division Multiple Access Communication System

Skills - Machine / Deep Learning
  • Video Analysis and Recognition
  • Tabular Data Analysis and Recognition
  • Time Series Analysis and Recognition
  • Image Analysis and Recognition
  • Graph Analysis and Recognition
  • Text Analysis and Recognition
  • Affective Computing
  • Classification
  • Regression
  • Anomaly Detection
  • Feature engineering
  • Statistical Analysis
Skills - Machine / Deep Learning Tools
  • PyTorch
    100%
  • Scikit-learn
    100%
  • MediaPipe
    100%
  • OpenCV
    75%
Skills - Programming
  • Python
    100%
    100%
  • Kotlin
    100%
    100%
  • Java
    75%
    75%
  • JavaScript
    50%
    50%
Skills - Software Development & Cloud
Mobile Application

Full-stack Android OS Smartphone Application Development

Watch Application

Full-stack Wear OS Smartwatch Application Development

Cloud

Microsoft Azure, Google Cloud Platform, Firebase

Publications
Contacts
Phone

+ (416) 597 3422 x7971

Address

550 University Avenue, Toronto

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