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people:sayantan [2019/05/23 20:00]
Sayantan Auddy [PhD Student]
people:sayantan [2019/10/09 14:21] (current)
Sayantan Auddy [PhD Student]
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 ==== PhD Student ==== ==== PhD Student ====
  
-Office: ​3N07\\+Office: ​2M01\\
 Phone: -\\ Phone: -\\
 Email: sayantan[dot]auddy[at]uibk[dot]ac[dot]at\\ Email: sayantan[dot]auddy[at]uibk[dot]ac[dot]at\\
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-  * January 2018: Master of Science in Intelligent Adaptive Systems from the University of Hamburg, Germany. [[http://​edoc.sub.uni-hamburg.de/​informatik/​volltexte/​2018/​237/​|[MSc Thesis]]]+  * January 2018: Master of Science in Intelligent Adaptive Systems from the University of Hamburg, Germany. Passed with distinction. [[http://​edoc.sub.uni-hamburg.de/​informatik/​volltexte/​2018/​237/​|[MSc Thesis]]]
   * August 2009: Bachelor of Technology in Computer Science and Engineering from West Bengal University of Technology, India   * August 2009: Bachelor of Technology in Computer Science and Engineering from West Bengal University of Technology, India
  
 === Talks and Workshops === === Talks and Workshops ===
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 +  * Aug 2019: Presented the paper '​Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks'​ at the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) in Oslo, Norway.
 +  * July 2019: Contributed a talk '​Progress,​ Compress and Expand - A framework for lifelong learning of robotics tasks' at the School of Learning, Perception and Robotics (SPROuT), Department of Information Engineering and Computer Science, University of Trento, Italy.
 +  * July 2019: Presented a poster on '​Progress,​ Compress and Expand: A framework on continual learning of robotics tasks' at the 4th International Workshop on Intrinsically Motivated Open-ended Learning (IMOL 2019) in Frankfurt, Germany.
   * September 2016: Presented the paper 'A Robotic Home Assistant with Memory Aid Functionality'​ by Weiser et al. at the 39th German Conference on Artificial Intelligence (KI2016) in Klagenfurt, Austria.   * September 2016: Presented the paper 'A Robotic Home Assistant with Memory Aid Functionality'​ by Weiser et al. at the 39th German Conference on Artificial Intelligence (KI2016) in Klagenfurt, Austria.
  
 === Publications === === Publications ===
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-  * May 2019: Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. Sayantan Auddy, Sven Magg and Stefan Wermter. Proceedings of the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) ​(accepted).+  * Aug 2019: Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. Sayantan Auddy, Sven Magg and Stefan Wermter. Proceedings of the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). ​Selected for oral presentation. [[https://​arxiv.org/​abs/​1909.00732|[Paper]]] [[https://​youtu.be/​4c64rKhj72E|[Video]]]
   * September 2016: A Robotic Home Assistant with Memory Aid Functionality. I. Wieser, S. Toprak, A. Grenzing, T. Hinz, S. Auddy [and 14 others]. Proceedings of the 39th German Conference on Artificial Intelligence (KI2016), Volume 9904, pages 102-115.[[https://​link.springer.com/​chapter/​10.1007/​978-3-319-46073-4_8|[Paper]]]   * September 2016: A Robotic Home Assistant with Memory Aid Functionality. I. Wieser, S. Toprak, A. Grenzing, T. Hinz, S. Auddy [and 14 others]. Proceedings of the 39th German Conference on Artificial Intelligence (KI2016), Volume 9904, pages 102-115.[[https://​link.springer.com/​chapter/​10.1007/​978-3-319-46073-4_8|[Paper]]]
  
-=== Teaching ​Assistance ​===+=== Teaching ===
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-  * Summer semester 2019: Pro-seminar for the course ​'Data Structures and Algorithms' +  ​* Winter semester 2019: Pro-seminar for the course **Advanced Machine Learning** 
-  * Winter semester 2018: Reinforcement learning lectures for the courses ​'Introduction to Machine Learning' ​and 'Advanced Machine Learning' ​+  * Winter semester 2019: Reinforcement learning lectures for the course **Advanced Machine Learning** 
 +  ​* Summer semester 2019: Pro-seminar for the course ​**Data Structures and Algorithms** 
 +  * Winter semester 2018: Reinforcement learning lectures for the courses ​**Introduction to Machine Learning** and **Advanced Machine Learning**
  
people/sayantan.1558634436.txt.gz · Last modified: 2019/05/23 20:00 by Sayantan Auddy