Javad R. Anaraki

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I am a senior ML researcher in the IaaS team at Huawei Technologies Canada with over seven years of experience delving into theoretical and practical applications of ML. My expertise spans various domains, including designing and improving demand forecasting, prediction-based auto-scaler methods, optimization, system simulation and evaluation, and developing and implementing AI agents for managing 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 noise-robust and scalable feature selection method called Perturbation-based Feature Selection (PFS), inspired by the historical monument in Isfahan called Monar Jonban (Shaking Minarets), and implemented using perturbation theory and system of equations.

Research interests

• Demand forecasting
• Optimization
• Simulation
• Feature selection