Researcher at Faculty of Electrical Engineering, Czech Technical University in Prague
Prague, Prague, Czechia
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Summary
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Senior
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Gustav Šír is an AI researcher and assistant professor at CTU Prague with 11 years of experience developing deep relational learning methods for structured domains such as graphs, databases, computational biology, chemistry and NLP. He combines strong academic credentials (PhD in AI) with practical industry experience from internships and projects at Google, IBM and other international organisations, applying TensorFlow, Python, C++ and logic-based frameworks. Gustav has built and published lifted relational neural network frameworks that bridge symbolic logic and deep learning, reflecting a rare mix of theoretical rigor and engineering pragmatism. He teaches, supervises students and secures research funding while continuing hands-on development of models and data-driven systems. Notably, his work spans both classical AI disciplines and modern deep learning, enabling applications from network analysis to automated personalization.
11 years of coding experience
Computer Science, Computer Science at National Taiwan University of Science and Technology
Computer Science, Computer Science at Nanyang Technological University
Athens programme, Emergence in complex systems, A, Athens programme, Emergence in complex systems, A at Telecom ParisTech
Bc, Artificial Intelligence, A, Bc, Artificial Intelligence, A at Czech Technical University in Prague
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Faculty of Electrical Engineering, Czech Technical University in Prague
Contributions:8 commits, 6 pushes, 1 branch in 1 year 5 months
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Gustav Šír - Researcher at Faculty of Electrical Engineering, Czech Technical University in Prague