Professor Of Computer Science at Moscow Institute of Physics and Technology (State University) - MIPT, Phystech
Saint Petersburg, Saint Petersburg, Russia
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Artur Saakyan is a Professor of Computer Science and PhD in System Analysis with eight years of experience blending academic teaching and applied data science. He has designed and taught Python programming courses for both bachelor’s and master’s students at leading Russian institutions (MIPT and Saint Petersburg State University) while leading industry projects as a senior data scientist and machine learning engineer. His applied work at Huawei produced accepted prototypes in 5G Massive MIMO using deep reinforcement learning, improved autoencoder-based topology recovery, and a markedly faster energy-optimization solver combining goal programming and mixed-integer methods. Comfortable moving between mathematical modelling, operations research and modern ML, he delivers solutions that reduce compute and memory footprints in production-like settings. Based in Saint Petersburg, he pairs rigorous academic research with practical system-building, mentoring the next generation of engineers as he iterates on real-world telecom and logistics problems. An uncommon strength is his track record of translating state-of-the-art algorithms into working prototypes that were adopted by stakeholders.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD System Analysis and Computer Science, Doctor of Philosophy - PhD System Analysis and Computer Science at Saint Petersburg State University
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Artur Saakyan - Professor Of Computer Science at Moscow Institute of Physics and Technology (State University) - MIPT, Phystech