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team:daniel_nyga [2013/06/25 08:18] – created pmaniateam:daniel_nyga [2017/05/10 16:22] – [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 Institute for Artificial Intelligence, I studied Computer Science at Technische Universität München, where I received my Master's degree in 2010 (with distinction). In 2011 I started my PhD supervised by Prof. Michael Beetz at the //Intelligent Autonomous Systems// group at TUM, which I have finished at the Institute for Artificial Intelligence, University of Bremen with my 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]]
  
 +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.
 +
 +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.
 +
 +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. 
 +
 +
 +
 +====Fields of Interest====
 +  * Artificial Intelligence
 +  * Probability Theory
 +  * Probabilistic Knowledge Processing
 +  * Machine Learning
 +  * Statistical Relational Learning
 +  * Data Mining/Knowledge Discovery
 +  * Automated Learning/Understanding of WWW information
 +  * Natural-Language Understanding
 +
 +====Teaching====
 +  * Master Seminar: Data Mining and Data Analytics ([[http://ai.uni-bremen.de/teaching/datamining_ss17|SS2017]])
 +  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws16|WS2016/17]]) (Lecturer)
 +  * 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)
 +  * Technical Cognitive Systems (Lecture & Tutorial, at TUM) ([[https://ias.cs.tum.edu/teaching/ss2012/techcogsys|SS2012]])
 +  * Techniques in Artificial Intelligence (Tutorial,  at TUM) ([[https://ias.cs.tum.edu/teaching/ws2011/240927786|WS2011/12]])
 +  * Discrete Probability Theory (Tutorial, at TUM) ([[http://www14.in.tum.de/lehre/2011SS/dwt/|SS2011]])
 + 
 +====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)
 +  * 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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