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Keivan Tafakkori, M.Sc.

PhD Candidate, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

I believe that different theoretical/practical problems just need different ways of explaining reality, representing reality, or learning from data observed or experienceable in reality, for a specific system, industry, or supply chain, to obtain feasible, logical, and optimal (or best possible) solutions, regions or policies. The way we algorithmize, model, and solve these problems to be scalable and stable, both in computation time and accuracy, matters a lot.

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Keivan Tafakkori's Projects

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FelooPy: Efficient & Feature-Rich Integrated Decision Environment

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