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team:daniel_nyga [2013/06/25 13:16] – [Supervised Theses] nygateam:daniel_nyga [2016/11/19 12:48] – [About] nyga
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 ~~NOTOC~~ ~~NOTOC~~
-=====Daniel Nyga====== +=====Daniel Nyga, M.Sc. (TUM)====== 
-^ {{:wiki:daniel_nyga.jpg}} ||||+| {{:wiki:daniel_nyga.jpg?0x180}} ||||
 |::: ||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: |<cryptmail>nyga@cs.uni-bremen.de</cryptmail>| |:::|Mail: |<cryptmail>nyga@cs.uni-bremen.de</cryptmail>|
 |:::| || |:::| ||
 + 
 ====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 on understanding natural-language, in order to enable a robot to autonomously acquire new high-level skills by querying web pages such as eHow.com or wikiHow.com.+Before I joined the Institute for Artificial Intelligence, I studied Computer Science at Technische Universität München, where I received my Master's degree in 2010 (with distinction). In February 2011 I started my PhD supervised by Prof. Michael Beetz at the //Intelligent Autonomous Systems// group at TUM, which I am now continuing at the IAI, University of Bremen.
  
-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 +I'm working on the import of action-specific knowledge from the World Wide Web into the knowledge bases of our mobile robots. In particular, my current research focuses on understanding natural language, in order to enable a robot to autonomously acquire new high-level skills by querying web pages such as eHow.com or wikiHow.com.
- data of a robot:+
  
-{{people:nyga:actioncore.png?w=700&h=65&t=1357297411}}+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:actioncore.png?w=620&h=65&t=1357297411}}
  
 Knowledge about actions and objects is represented as //Probabilistic Robot Action Cores (PRAC)//, which can be thought of generic event patterns that enable a robot to infer important information that is missing in an original natural-language instruction. PRAC models are represented in //Markov Logic Networks//, a powerful knowlegde represenation formalism combing first-order logic and probability theory. Knowledge about actions and objects is represented as //Probabilistic Robot Action Cores (PRAC)//, which can be thought of generic event patterns that enable a robot to infer important information that is missing in an original natural-language instruction. PRAC models are represented in //Markov Logic Networks//, a powerful knowlegde represenation formalism combing first-order logic and probability theory.
 +
 +I am involved in the European research projects [[http://www.youtube.com/watch?v=qQG3CkH27qc#t=118|RoboHow]] ([[http://www.robohow.org]]) and [[http://www.acat-project.eu|ACAT]].
 +
 +I am also the lead developer in the projects [[http://www.pracmln.org|pracmln]] and [[http://www.actioncores.org/|PRAC]].
  
 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 Knowledge Processing
   * Machine Learning   * Machine Learning
   * Statistical Relational Learning   * Statistical Relational Learning
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 ====Teaching==== ====Teaching====
 +  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws15|WS2015/16]]) (Lecturer)
 +  * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ai-ss15|SS2015]]) (Tutorial/Co-Lecturer)
 +  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws14|WS2014/15]]) (Lecturer)
 +  * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/kiss2014|SS2014]]) (Tutorial)
 +  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/ki2-2013|WS2013/14]]) (Co-Lecturer)
   * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/kiss2013|SS2013]]) (Tutorial)   * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/kiss2013|SS2013]]) (Tutorial)
-  * Technical Cognitive Systems (Lecture & Tutorial, @TUM) ([[https://ias.cs.tum.edu/teaching/ss2012/techcogsys|SS2012]]) +  * Technical Cognitive Systems (Lecture & Tutorial, at TUM) ([[https://ias.cs.tum.edu/teaching/ss2012/techcogsys|SS2012]]) 
-  * Techniques in Artificial Intelligence (Tutorial, @TUM) ([[https://ias.cs.tum.edu/teaching/ws2011/240927786|WS2011/12]]) +  * Techniques in Artificial Intelligence (Tutorial,  at TUM) ([[https://ias.cs.tum.edu/teaching/ws2011/240927786|WS2011/12]]) 
-  * Discrete Probability Theory (Tutorial, @TUM) ([[http://www14.in.tum.de/lehre/2011SS/dwt/|SS2011]]) +  * Discrete Probability Theory (Tutorial, at TUM) ([[http://www14.in.tum.de/lehre/2011SS/dwt/|SS2011]]) 
 + 
 ====Supervised Theses==== ====Supervised Theses====
 +  * Lifelong Learning of First-order Probabilistic Models for Everyday Robot Manipulation (Master's Thesis, Marc Niehaus)
 +  * Scaling Probabilistic Completion of Robot Instructions through Semantic Information Retrieval (Master's Thesis, Sebastian Koralewski)
 +  * To see what no robot has seen before - Recognizing objects based on natural-language descriptions (Master's Thesis, Mareike Picklum)
   * 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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