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team:daniel_nyga [2018/10/16 10:46] – [Teaching] nyga | team:daniel_nyga [2018/11/08 19:38] – [About] nyga |
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====About==== | ====About==== |
Daniel Nyga is a postdoctoral researcher at the Institute for Artificial Intelligence (IAI), University of Bremen. Before he joined the IAI Bremen, he studied computer science at the Technical University of Munich, where he received a Bachelor's degree in 2008 and a Master's degree in computer science in 2010. In 2011, he started his PhD supervised by Prof. Michael Beetz at the //Intelligent Autonomous Systems// group at TUM, which he has finished at the Institute for Artificial Intelligence Bremen with his thesis on the [[http://nbn-resolving.de/urn:nbn:de:gbv:46-00105882-13|Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning]] (see below). | |
| Daniel Nyga is a postdoctoral researcher at the Institute for Artificial Intelligence (IAI), University of Bremen. He holds a Bachelor and Master's degree in computer science from the Technical University of Munich (TUM), with a major in AI and Machine Learning, as well as a doctor's degree (summa cum laude) in computational science from the University of Bremen for his thesis on the [[http://nbn-resolving.de/urn:nbn:de:gbv:46-00105882-13|Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning]] (see below). He was a visiting scholar in the Bio-intelligence Laboratory headed by Prof. Byoung-Tak Zhang at Seoul National University (SNU), South Korea, and in the Robust Robotics Group headed by Prof. Nicholas Roy at the Computer Science and AI Laboratory of MIT, USA. |
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====Dissertation==== | ====Dissertation==== |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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