Bilal Taha

I am a second-year PhD student at the University of Toronto, supervised by Dimitrios Hatzinakos. I am also a Postgraduate affiliate to the Vector Institute . My research interests lie at the intersection of signal processing and machine learning implemented in application for health care and biometrics. I am broadly interested in deep learning, generative models and computer vision. I graduated with a B.Sc./M.Sc, both in Electrical and Computer Engineering.

My master's thesis was supervised by Naoufel Werghi and Jorge Dias. In past years, I have worked as a research fellow in the Visual Signal Analysis and Processing Center, KU, and Robotics Institute, KU and as an intern at ICUBE Laboratory at the University of Strasbourg.

Selected Papers

Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection
Bilal Taha, Munawar Hayat, Stefano Berretti, Dimitrios Hatzinakos, Naoufel Werghi (2020)
IEEE Transactions on Circuits and Systems for Video Technology 2020.

Machine Learning-Based Drone Detection and Classification: State-of-the-Art in Research
Bilal Taha, Abdulhadi Shoufan (2019)
IEEE Access 2019.

Learned Micro-Doppler Representations for Targets Classification Based on Spectrogram Images
Esra Alhadhrami, Maha Al-Mufti, Bilal Taha , Naoufel Werghi (2019)
IEEE Access 2019.


Winter 2020. ECE 1513: Teaching Assistant for Introduction to Machine Learning.

Fall 2019. ECE 302: Teaching Assistant for Probability and Applications.

Previous Teaching Experience: Introduction to computer Programming, Signals and Systems, Electromechanical Systems, University Physics 2.