Javad R. Anaraki

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Javad Rahimipour Anaraki

I am a senior ML researcher in the IaaS team at Huawei Technologies Canada, working on designing and improving timeseries forecasting and prediction-based auto-scaler methods for serverless environments.

Previously, I was a Mitacs Elevate postdoctoral fellow at the Institute of Biomedical Engineering, University of Toronto and Holland Bloorview Kids Rehabilitation Hospital, working with Tom Chau on ML tools to translate EEG signals into actions helping kids with severe movement disabilities.

I received my Ph.D. in Computer Science from Memorial University of Newfoundland, supervised by Saeed Samet, Wolfgang Banzhaf and Hamid Usefi. I developed a new noise-robust and scalable feature selection method called perturbation-based feature selection inspired by a historical monument in Isfahan called Monar Jonban (Shaking Minarets), and implemented using perturbation theory and system of equations.

I received my Master’s degree in Computer Engineering (AI) from the Shahid Bahonar University of Kerman, supervised by Mahdi Eftekhari and Majid Mohammadi, where I proposed improvements on existing fuzzy-rough set-based feature selection methods.

I received my Bachelor’s degree in Computer Engineering from Shahid Ashrafi Esfahani University, supervised by Marjan Kaedi, where I designed and implemented a pipeline to train a self-organizing map neural network to recognize Persian handwritten digits.

Research interests