Full Professor Of Machine Learning at University of Technology Nuremberg
Nuremberg, Bavaria, Germany
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Summary
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Josif Grabocka is a Full Professor of Machine Learning based in Nuremberg with nine years of focused experience translating deep learning research into large-scale, real-world solutions across time-series, audio, image, video and text domains. He leads research and education initiatives—heading representation learning labs and coordinating an M.Sc. in AI & Robotics—while directing applied efforts like the Bavarian AI Taxation Laboratory and advising industry through CASTL. His work emphasizes representation learning from highly complex predictor spaces, spatio-temporal mining, recommender systems and numerical optimization, bridging rigorous research with practical deployment. Trained with a PhD in Machine Learning and an MSc in Applied AI, he combines academic leadership with hands-on lab management and a track record of mentoring doctoral researchers. An understated strength is his cross-disciplinary fluency that lets him turn intricate temporal and multimodal data into actionable models for policy and industry settings.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Machine Learning, Summa Cum Laude, Doctor of Philosophy (PhD), Machine Learning, Summa Cum Laude at Universität Hildesheim - Information Systems and Machine Learning Lab
Master of Science, Applied Artificial Intelligence, 5.0 out of 5.0, Master of Science, Applied Artificial Intelligence, 5.0 out of 5.0 at Dalarna University, Sweden
Bachelor's Degree, Computer Engineering, Bachelor's Degree, Computer Engineering at METU, Turkey
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Josif Grabocka - Full Professor Of Machine Learning at University of Technology Nuremberg