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team:daniel_nyga [2018/11/08 19:36] – [About] nyga | team:daniel_nyga [2019/10/07 08:29] – [Teaching] nyga |
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|:::|Mail: |<cryptmail>nyga@cs.uni-bremen.de</cryptmail>| | |:::|Mail: |<cryptmail>nyga@cs.uni-bremen.de</cryptmail>| |
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====About==== | ====About==== |
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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 Artificial Intelligence 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 Computer Science and AI Laboratory at the Massachusetts Institute of Technology. | 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==== |
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====Teaching==== | ====Teaching==== |
| * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws19|WS2019/20]]) (Lecturer) |
| * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ki1_ss19|SS2019]]) (Lecturer) |
* AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws18|WS2018/19]]) (Lecturer) | * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws18|WS2018/19]]) (Lecturer) |
* Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ki1_ss18|SS2018]]) (Lecturer) | * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ki1_ss18|SS2018]]) (Lecturer) |
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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