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team:daniel_nyga [2013/06/25 13:15] – [About] nyga | team:daniel_nyga [2017/05/10 16:22] – [About] nyga | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Daniel Nyga====== | + | =====Daniel Nyga, M.Sc. (TUM)====== |
- | ^ {{: | + | | {{: |
|::: ||Research Staff\\ \\ || | |::: ||Research Staff\\ \\ || | ||
|:::|Room: |1.77| | |:::|Room: |1.77| | ||
- | |:::|Tel: |--49 -421 218 64039| | + | |:::|Tel: |--49 -421 218 64008| |
|:::|Fax: |--49 -421 218 64047| | |:::|Fax: |--49 -421 218 64047| | ||
|:::|Mail: |< | |:::|Mail: |< | ||
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====About==== | ====About==== | ||
- | Before I joined the Intelligent Autonomous Systems Group I studied Computer Science at TUM. I'm currently working on the import of knowledge from the world wide web into the knowledge base of our mobile robots. In particular, my current research focuses | + | Before I joined the Institute for Artificial Intelligence, |
- | My work aims at building up action-specific knowledge | + | I'm working on the import of action-specific knowledge from the World Wide Web into the knowledge |
- | data of a robot: | + | |
- | {{people:nyga: | + | My work aims at building up action-specific knowledge bases from various knowledge sources, such as natural language, interactive computer games, observations of humans performing everyday activity or experience data of a robot. |
+ | |||
+ | {{research: | ||
Knowledge about actions and objects is represented as // | Knowledge about actions and objects is represented as // | ||
+ | |||
+ | I am involved in the European research projects [[http:// | ||
+ | |||
+ | I am also the lead developer in the projects [[http:// | ||
If you are interested in a student project in any of the above topics, please contact me via E-Mail or just drop into my office. | If you are interested in a student project in any of the above topics, please contact me via E-Mail or just drop into my office. | ||
+ | |||
+ | |||
====Fields of Interest==== | ====Fields of Interest==== | ||
- | * Artificial Intelligence/Knowledge Processing | + | * Artificial Intelligence |
+ | * Probability Theory | ||
+ | * Probabilistic | ||
* Machine Learning | * Machine Learning | ||
* Statistical Relational Learning | * Statistical Relational Learning | ||
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====Teaching==== | ====Teaching==== | ||
+ | * Master Seminar: Data Mining and Data Analytics ([[http:// | ||
+ | * AI: Knowledge Acquisition and Representation ([[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:// | ||
* Foundations of Artificial Intelligence ([[https:// | * Foundations of Artificial Intelligence ([[https:// | ||
- | * Technical Cognitive Systems (Lecture & Tutorial, | + | * Technical Cognitive Systems (Lecture & Tutorial, |
- | * Techniques in Artificial Intelligence (Tutorial, | + | * Techniques in Artificial Intelligence (Tutorial, |
- | * Discrete Probability Theory (Tutorial, | + | * Discrete Probability Theory (Tutorial, |
+ | |||
====Supervised Theses==== | ====Supervised Theses==== | ||
+ | * Lifelong Learning of First-order Probabilistic Models for Everyday Robot Manipulation (Master' | ||
+ | * Scaling Probabilistic Completion of Robot Instructions through Semantic Information Retrieval (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) |
+ | | ||
====== 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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