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team:daniel_nyga [2018/11/08 19:38] – [About] nyga | team:daniel_nyga [2023/02/17 14:29] – [Publications] pmania |
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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 the Computer Science and AI Laboratory of MIT, USA. | 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-ws20|WS2020/21]]) (Lecturer) |
| * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ki1_ss20|SS2020]]) (Lecturer) |
| * 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) |
<author>nyga</author> | <author>nyga</author> |
</bibtex> | </bibtex> |
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