Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
Next revisionBoth sides next revision
team:daniel_nyga [2017/06/16 11:46] – [Projects] nygateam:daniel_nyga [2017/08/30 08:29] – [Supervised Theses] nyga
Line 2: Line 2:
 =====Dr.rer.nat. Daniel Nyga====== =====Dr.rer.nat. Daniel Nyga======
 | {{:wiki:daniel_nyga.jpg?0x180}} |||| | {{:wiki:daniel_nyga.jpg?0x180}} ||||
-|::: ||Research Staff\\ \\ ||+|::: ||Postdoctoral Researcher\\ \\ ||
 |:::|Room: |1.77| |:::|Room: |1.77|
-|:::|Tel: |--49 -421 218 64008|+|:::|Tel: |--49 -421 218 64010|
 |:::|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>|
Line 53: Line 53:
  
 ====Projects==== ====Projects====
-Daniel Nyga's research interests revolve around topics on Artificial Intelligence and Data Science in general, as well as Machine Learning, Data Mining and Pattern Recognition techniques. In particular, he is interested in probabilistic graphical and relational knowledge representation, learning and inference methods.+Daniel Nyga's research interests revolve around topics on Artificial Intelligence and Data Science in general, as well as Machine Learning, Data Mining and Pattern Recognition techniques. In particular, he is interested in probabilistic graphical and relational knowledge representation, learning and inference methods, and in applications thereof in natural-language understanding, knowledge processing and robotics.
  
 He was involved in the European FP7 research projects [[http://www.robohow.org|RoboHow]] and [[http://www.acat-project.eu|ACAT]]. He was involved in the European FP7 research projects [[http://www.robohow.org|RoboHow]] and [[http://www.acat-project.eu|ACAT]].
Line 70: Line 70:
   * Data Mining/Knowledge Discovery   * Data Mining/Knowledge Discovery
   * Automated Learning/Understanding of WWW information   * Automated Learning/Understanding of WWW information
-  * Natural-Language Understanding+  * Natural-language understanding
  
 ====Teaching==== ====Teaching====
Line 90: Line 90:
   * To see what no robot has seen before - Recognizing objects based on natural-language descriptions (Master's Thesis, Mareike Picklum)   * 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 ======
  
- Impressum - Datenschutz



Prof. Dr. hc. Michael Beetz PhD
Head of Institute

Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de

Discover our VRB for innovative and interactive research


Memberships and associations:


Social Media: