MIN Faculty
Department of Informatics
Knowledge Technology

Warning!

This webpage is outdated and has moved. Please find the official Knowledge Technology page at:

https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

German Ignacio Parisi, MSc.

Research Associate of Knowledge Technology Group

Contact Info

Address University of Hamburg
Department of Informatics
Vogt Koelln Str. 30
22527 Hamburg, Germany
Office: F-215
Phone: +49 40 428 83 2523
Fax: +49 40 428 83 2515
E-Mail:


Top
My research work is focused on computational models of the visual system with artificial neural architectures and neurocognitive mechanisms for the recognition of human actions in the context of human-robot assistance.

Projects

Research Interests

  • Computational models for multimodal integration;
  • Neural network self-organization and deep learning;
  • Neurocognitive models of crossmodal attention;
  • Human-robot interaction and assistance;
  • Artificial intelligence, neural networks, neuroscience.


Top

Short CV

Since 05/2016 Research Associate at Knowledge Technology Institute for project TRR 169 "Cross-Modal Learning"
Department of Computer Science, University of Hamburg, Germany.
03/2017 PhD degree in Computer Science
University of Hamburg, Germany.
2015 Visiting Researcher at Cognitive Neuro-Robotics Lab (with Prof. Jun Tani)
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.
2013 Master's Degree in Computer Science.
Universita' degli Studi Milano-Bicocca, Milan, Italy.
2011 Internship in Software Architecture.
IBM, Milan, Italy.
2010 Bachelor's Degree in Computer Science.
Universita' degli Studi Milano-Bicocca, Milan, Italy.


Top

Publications



2016

Cruz, F., Parisi, G. I., Twiefel, J., Wermter, S. Multi-Modal Integration of Dynamic Audiovisual Patterns for an Interactive Reinforcement Learning Scenario. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 759–766, Daejeon, Korea, 2016.

Mici, L., Parisi, G. I., Wermter, S. Recognition of Transitive Actions with Hierarchical Neural Network Learning. In Proc. of the International Conference on Artificial Neural Networks (ICANN), pp. 472–479, Barcelona, Spain, 2016.

Parisi, G. I., Tani, J., Weber, C., Wermter, S.Emergence of Multimodal Action Representations from Neural Network Self-Organization. Cognitive Systems Research, doi:10.1016/j.cogsys.2016.08.002 , August 2016. Open Access.

Parisi, G. I., Magg, S., Wermter, S. Towards Open-Ended Learning of Action Sequences with Hierarchical Predictive Self-Organization. In Proc. of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 71–76, New York, US, 2016.

Parisi, G. I., Wermter, S. Towards Open-Ended Learning of Action Sequences with Hierarchical Predictive Self-Organization. Proc. of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Workshop on Behaviours Adaptation, Interaction and Learning for Assistive Robotics, New York, US, 2016.

Cruz, F., Parisi, G. I., Wermter, S. Learning Contextual Affordances with an Associative Neural Architecture. In Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp. 665-670, Bruges, Belgium, 2016.

Parisi, G. I., Wermter, S. A Neurocognitive Robot Assistant for Robust Event Detection. Trends in Ambient Intelligent Systems: Role of Computational Intelligence, Series "Studies in Computational Intelligence", pp. 1-28, Springer, 2016.

 

2015

Parisi, G. I., Weber, C. and Wermter, S.: "Towards Emerging Multimodal Cognitive Representations from Neural Self-Organization", In: IEEE-RAS International Conference on Humanoid Robots (Humanoids '15), Workshop "Towards Intelligent Social Robots: Current Advances in Cognitive Robotics", Seoul, South Korea (2015)

Parisi, G. I., Bauer, J., Strahl, E., Wermter, S.: "A Multi-modal Approach for Assistive Humanoid Robots", In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Workshop on Multimodal Semantics for Robotics Systems, Hamburg, Germany (2015)

Cruz, F., Parisi, G. I., Wermter, S.: "Action-Effect Prediction in a Robotic-Cleaning Task", In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Workshop on Learning Object Affordances, Hamburg, Germany (2015)

Parisi, G. I., von Stosch, F., Magg, S., Wermter, S.: "Learning Human Motion Feedback with Neural Self-Organization", In: IEEE International Joint Conference on Neural Networks (IJCNN '15), pp. 2973-2978, Killarney, Ireland, 2015.

Parisi, G. I., Weber, C. and Wermter, S.: "Self-Organizing Neural Integration of Pose-Motion Features for Human Action Recognition", Frontiers in Neurorobotics, Volume 9, Number 3. DOI:10.3389/fnbot.2015.00003, 2015.

Borghetti Soares, M., Barros, P., Parisi, G. I., Wermter, S.: "Learning Objects from RGB-D Sensors using Point Cloud-based Neural Networks", In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN '15), pp. 439-444, Bruges, Belgium, 2015.

2014

Parisi, G. I., Strahl, E. , Wermter, S.: "Robust Fall Detection with an Assistive Humanoid Robot", In: 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids '14), Video session, Madrid, Spain, November 2014.

Barros, P., Parisi, G. I., Jirak D., Wermter, S.: "Real-time Gesture Recognition Using a Humanoid Robot with a Deep Neural Architecture", In: IEEE-RAS International Conference on Humanoid Robots (Humanoids '14), pp. 83-88, Spain, November, 2014.

Parisi, G. I., Weber, C., Wermter, S.: "Human Action Recognition with Hierarchical Growing Neural Gas", In: Wermter, S., et al., editors, Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN '14), pp. 89-96, Springer Heidelberg, Hamburg, Germany, 2014.

Parisi, G. I., Jirak, D., Wermter, S.: "HandSOM: Neural Clustering of Hand Motion for Gesture Recognition in Real Time", In: Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN '14), pp. 981-986, Edinburgh, Scotland, UK, 2014.

Parisi, G. I., Barros P., Wermter, S.: "FINGeR: Framework for Interactive Neural-based Gesture Recognition", In: Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN '14), pp. 443-447, Bruges, Belgium, 2014.

2013

Parisi, G. I., Wermter, S.: "Hierarchical SOM-Based Detection of Novel Behavior for 3D Human Tracking", In: Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN '13), pp. 1380–1387, Dallas, Texas, USA, 2013.

Parisi, G. I.: "Vision-based Human Tracking for Unsupervised Detection of Novel Behavior", Master's Thesis, Department of Computer Science, University of Milano-Bicocca, Milan, Italy, 2013.


Top

Invited Seminars

20/11/2015 "A neurocognitive assistive robot: Human action learning with neural self-organization",
Asada Laboratory, Osaka University, Japan.
10/11/2015 "Emergence of multimodal cognitive representations from neural network self-organization",
Cognitive Neuro-Robotics Lab, KAIST, Daejeon, South Korea.
11/12/2014 "Neural integration of pose-motion features for human action recognition",
Slipguru, Universita' di Genova, Genoa, Italy.
18/12/2014 "Neurocognitive assistive robotics",
Dept. of Theoretical Computer Science and Mathematical Logic, Charles University in Prague, Czech Republic.


Top

Selected Demos and Videos

Robust Fall Detection with an Assistive Humanoid Robot

Parisi, G. I., Strahl, E. , Wermter, S.

15 January 2015 - Article in the German newspaper Die ZEIT featured the fall detection system with the Nao and an overview of the on-going research at our lab.

November, 2014 - Video session @ 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids '14), Madrid, Spain.





Live demos:

26 June 2016 - Robotic Day, Prague Congress Center, Prague, Czech Republic.

12 September 2014 - Lab tour @ 24th International Conference on Artificial Neural Networks (ICANN '14), Hamburg.

17/18 June 2014 - eHealth Conference, Hamburg, 17-18 June 2014.

Degener, O.: "Häusliche Sturzerkennung mit einem Roboter". eHealth Conference 2014 Menschen, Metropolen, Möglichkeiten – bessere Versorgung durch eHealth, GVG-Schriftenreihe 75, pp. 210-211, Köln, 2014.

15 May 2014 - Campus visit of the Mayor of the City of Hamburg, University of Hamburg.

Learning Human Motion Feedback with Neural Self-Organization

von Stosch, F., Parisi, G. I., Magg, S. , Wermter, S.

August, 2015 - Video Session @ 24th International Joint Conference on Artificial Intelligence (IJCAI '15), Buenos Aires, Argentina.