Yaser M. Taheri Email & Phone Number

Montreal, Quebec, Canada

As Tech Lead of the Applied ML Research team, I worked with other applied ML researchers to improve and advance Machine learning (ML) / Deep learning models, pipelines and workflows used in the company automated ML platform.Work in a cross-functional and agile team and contribute to the Stradigi AI's automated Machine learning platform by adding new models and features for improving the performance of the different workflows including Tabular classification /Regression, image classification, Text classification and clustering. Research and work on improving the model selection, Hyper-parameter optimization and model compression for the automated ML platform.

Montreal, Canada Area

As a member of the image and video understanding research group in Stradigi AI, I worked on different client projects from various industries such as sport, transportation and healthcare. I developed different algorithms and pipelines using computer vision and deep learning for these projects.Being a key member of the ML research team initiating the Stradigi AI's automated ML platform and contributed to the ML platform by adding new ML /DL models and pipelines, as well as designing expert systems for model/pipeline selection.

Montreal, Canada Area

Jan 2016 - April 2016Teaching Assistant for ENGR233: Applied advanced calculus Sep 2015 - Dec 2015Teaching Assistant for ENGR233: Applied advanced calculus Teaching Assistant for ENGR213: Applied Ordinary Differential EquationsTeaching Assistant for ELEC273: Basic Circuit Analysis” LabMay 2015 – August 2015 :Teaching Assistant for ENGR233 : Applied Advanced Calculus” , Teaching Assistant for ENGR371 : Probability and Statistics in Engineering”Jan 2015- April 2015 :Teaching Assistant for ENGR213 : Applied Ordinary Differential Equations”, Teaching Assistant for ENGR233 : Applied Advanced Calculus” Teaching Assistant for ELEC273 : Basic Circuit AnalysisSept 2014 - Dec 2014 : Teaching Assistant for ELEC273 : Basic Circuit Analysis Lab Teaching Assistant for ENGR213 : Applied Ordinary Differential Equations”July 2014 – August 2014 :Teaching Assistant for ENGR371 :Probability and Statistics in EngineeringDec 2013 – April 2014 : Teaching Assistant for ENGR233 : Applied Advanced Calculus Sep 2013 –Dec 2013 : Teaching Assistant for ELEC264 : Signal and System II

Montreal, Canada Area

* Research on improving the performance of Distributed video coding by using Variational Bayes, a machine learning algorithm, on a factor-graph* Developing and implementing some deep neural networks and convolutional neural networks for various applications including object detection and semantic segmentation in images.* Research on a EEG-based motor imagery brain computer interface classification using CSP and deep convolutional neural network

Doctor Of Philosophy (Phd), Signal Processing, Image And Video Processing

Thesis: "Improving Rate-distortion performance in Distributed video coding"

Master Of Science (M.Sc.), Telecommunication, Image And Video Processing

Thesis: Collusion attack in Video watermarking

Bachelor Of Science (B.Sc.), Telecommunications Engineering

Project : Edge Detection in Images Using Neural Network