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team:daniel_nyga [2017/06/29 08:20] – [Dr.rer.nat. Daniel Nyga] nyga | team:daniel_nyga [2024/02/22 09:44] (current) – [Dr.rer.nat. Daniel Nyga] cstoess | ||
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=====Dr.rer.nat. Daniel Nyga====== | =====Dr.rer.nat. Daniel Nyga====== | ||
| {{: | | {{: | ||
- | |::: ||Research Associate\\ \\ || | + | |::: ||Postdoctoral Researcher\\ \\ || |
- | |::: | + | |::: |
|:::|Tel: |--49 -421 218 64010| | |:::|Tel: |--49 -421 218 64010| | ||
|:::|Fax: |--49 -421 218 64047| | |:::|Fax: |--49 -421 218 64047| | ||
|:::|Mail: |< | |:::|Mail: |< | ||
|:::| || | |:::| || | ||
+ | | ||
====About==== | ====About==== | ||
- | Daniel Nyga is a postdoctoral researcher at the Institute for Artificial Intelligence (IAI), University of Bremen. | + | |
+ | Daniel Nyga is a postdoctoral researcher at the Institute for Artificial Intelligence (IAI), University of Bremen. | ||
====Dissertation==== | ====Dissertation==== | ||
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showcase that PRAC is capable of closing the loop from | showcase that PRAC is capable of closing the loop from | ||
natural-language instructions to their execution by a robot. | natural-language instructions to their execution by a robot. | ||
+ | |||
+ | ====Master' | ||
+ | |||
+ | [[https:// | ||
====Projects==== | ====Projects==== | ||
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He was involved in the European FP7 research projects [[http:// | He was involved in the European FP7 research projects [[http:// | ||
- | He is the lead developer in the projects [[http:// | + | He is the lead developer in the projects [[http:// |
His GitHub profile can be found [[http:// | His GitHub profile can be found [[http:// | ||
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====Teaching==== | ====Teaching==== | ||
+ | * AI: Knowledge Acquisition and Representation ([[https:// | ||
+ | * Foundations of Artificial Intelligence ([[https:// | ||
+ | * AI: Knowledge Acquisition and Representation ([[https:// | ||
+ | * Foundations of Artificial Intelligence ([[https:// | ||
+ | * AI: Knowledge Acquisition and Representation ([[https:// | ||
+ | * Foundations of Artificial Intelligence ([[https:// | ||
+ | * AI: Knowledge Acquisition and Representation ([[https:// | ||
* Master Seminar: Data Mining and Data Analytics ([[http:// | * Master Seminar: Data Mining and Data Analytics ([[http:// | ||
* AI: Knowledge Acquisition and Representation ([[https:// | * AI: Knowledge Acquisition and Representation ([[https:// | ||
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* To see what no robot has seen before - Recognizing objects based on natural-language descriptions (Master' | * To see what no robot has seen before - Recognizing objects based on natural-language descriptions (Master' | ||
* Web-enabled Learning of Models for Word Sense Disambiguation (Bachelor Thesis, Stephan Epping) | * Web-enabled Learning of Models for Word Sense Disambiguation (Bachelor Thesis, Stephan Epping) | ||
- | * Grounding Words to Objects: A Joint Model for Co-reference and Entity Resolution Using Markov Logic Networks for Robot Instruction Processing (Diploma Thesis, Florian Meyer) | + | * Grounding Words to Objects: A Joint Model for Co-reference and Entity Resolution Using Markov Logic Networks for Robot Instruction Processing (Diploma Thesis, Florian Meyer) |
- | | + | |
====== Publications ====== | ====== Publications ====== | ||
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< | < | ||
</ | </ | ||
+ | |||
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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