Stefan Wermter

Possui doutorado em Computer Science pela Universität Hamburg(1993). Atualmente é Chair of Knowledge Technology da Universität Hamburg, Revisor de periódico da IEEE Transactions on Neural Networks and Learning Systems, Revisor de periódico da Connection Science (Online), Revisor de periódico da Cognitive Systems Research, Revisor de periódico da International Journal of Hybrid Intelligent Systems, Revisor de periódico da Knowledge and Information Systems (electronic resource), Revisor de periódico da International Journal of Computational Intelligence and Applications, Revisor de periódico da Cognitive Computation e Revisor de periódico da Natural Computing. Tem experiência na área de Robótica, Mecatrônica e Automação, com ênfase em Engenharia da Computação.

Informações coletadas do Lattes em 10/07/2025

Acadêmico

Formação acadêmica

Doutorado em Computer Science

1990 - 1993

Universität Hamburg
Título: A Hybrid Connectionist Approach for a Scanning Understanding of Natural Language Phrases

Idiomas

Alemão

Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.

Áreas de atuação

Grande área: Outros / Área: Robótica, Mecatrônica e Automação / Subárea: Engenharia da Computação.

Organização de eventos

Wermter, S . International Conference on Artificial Neural Networks. 2014. (Outro).

Stefan Wermter . International Conference on Robotics and Development of Cognition. 2012. (Outro).

Stefan Wermter . Conference of the Natural Computing Application Forum. 2009. (Outro).

Wermter, S. . International Workshop on Minds, Brains. 2008. (Outro).

Wermter, S. . International Workshop on Neural. 2007. (Outro).

Stefan Wermter . International Artificial Intelligence Workshop on Neural Robotics. 2004. (Outro).

Stefan Wermter . International Conference on Current Computational Architectures Integrating Neural Networks and Neuroscience. 2000. (Outro).

Participação em eventos

2015 International Joint Conference on Neural Networks (IJCNN). Learning Auditory Neural Representations for Emotion Recognition. 2016. (Congresso).

2015 International Joint Conference on Neural Networks (IJCNN). Understanding How Deep Neural Networks Learn Face Expressions. 2016. (Congresso).

European Symposium on Artifical Neural Networks, Computational Intelligence and Machine Learning, ESANN '15.Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network. 2016. (Simpósio).

Produções bibliográficas

PARISI, GERMAN I. ; Weber, Cornelius ; Wermter, Stefan . Self-organizing neural integration of pose-motion features for human action recognition. Frontiers in Neurorobotics , v. 9, p. 03, 2015.
BAUER, JOHANNES ; Magg, Sven ; Wermter, Stefan . Attention modeled as information in learning multisensory integration. Neural Networks , v. 65, p. 44-52, 2015.
BAUER, JOHANNES ; DÁVILA-CHACÓN, JORGE ; Wermter, Stefan . Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes. Connection Science (Print) , v. 27, p. 358-376, 2015.
BARROS, PABLO ; JIRAK, DOREEN ; Weber, Cornelius ; Wermter, Stefan . Multimodal emotional state recognition using sequence-dependent deep hierarchical features. Neural Networks , v. 72, p. 140-152, 2015.
TRIPATHI, NANDITA ; OAKES, MICHAEL ; Wermter, Stefan . A Scalable Meta-Classifier Combining Search and Classification Techniques for Multi-Level Text Categorization. International Journal on Computational Intelligence and Applications , v. 14, p. 1550020, 2015.
JOHNSON, DAVID O. ; CUIJPERS, RAYMOND H. ; JUOLA, JAMES F. ; TORTA, ELENA ; SIMONOV, MIKHAIL ; FRISIELLO, ANTONELLA ; BAZZANI, MARCO ; YAN, WENJIE ; Weber, Cornelius ; Wermter, Stefan ; MEINS, NILS ; OBERZAUCHER, JOHANNES ; PANEK, PAUL ; EDELMAYER, GEORG ; MAYER, PETER ; BECK, CHRISTIAN . Socially Assistive Robots: A Comprehensive Approach to Extending Independent Living. INT J SOC ROBOT , v. 6, p. 195-211, 2014.
ZHONG, JUNPEI ; CANGELOSI, ANGELO ; Wermter, Stefan . Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives. Frontiers in Behavioral Neuroscience , v. 8, p. 1-11, 2014.
TRIPATHI, NANDITA ; OAKES, MICHAEL ; Wermter, Stefan . Hybrid classifiers based on semantic data subspaces for two-level text categorization. International Journal of Hybrid Intelligent Systems , v. 10, p. 33-41, 2013.
YAN, WENJIE ; Weber, Cornelius ; Wermter, Stefan . Learning indoor robot navigation using visual and sensorimotor map information. Frontiers in Neurorobotics , v. 7, p. 13, 2013.
ZHONG, JUNPEI ; Weber, Cornelius ; Wermter, Stefan . A Predictive Network Architecture for a Robust and Smooth Robot Docking Behavior. Paladyn, Journal of Behavioral Robotics , v. 3, p. 172-180, 2012.
NAVARRO-GUERRERO, NICOLÁS ; Weber, Cornelius ; SCHROETER, PASCAL ; Wermter, Stefan . Real-world reinforcement learning for autonomous humanoid robot docking. Robotics and Autonomous Systems (Print) , v. 60, p. 1400-1407, 2012.
TRIPATHI, NANDITA ; OAKES, MICHAEL ; Wermter, Stefan . Semantic subspace learning for text classification using hybrid intelligent techniques. International Journal of Hybrid Intelligent Systems , v. 8, p. 99-114, 2011.
YAN, WENJIE ; WEBER, C. ; Wermter, S . A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera. Journal of Ambient Intelligence and Smart Environments , v. 3, p. 237, 2011.
Liu, Jindong ; PEREZ-GONZALEZ, DAVID ; REES, ADRIAN ; ERWIN, HARRY ; Wermter, Stefan . A biologically inspired spiking neural network model of the auditory midbrain for sound source localisation. Neurocomputing (Amsterdam) , v. 74, p. 129-139, 2010.
Muse, David ; Wermter, Stefan . Actor-Critic Learning for Platform-Independent Robot Navigation. Cognitive Computation (Print) , v. 1, p. 203-220, 2009.
Wermter, S. ; PAGE, M. ; KNOWLES, M. ; GALLESE, V. ; PULVERMÜLLER, F. ; TAYLOR, J. . Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics. Neural Networks , v. 22, p. 111-115, 2009.
MURRAY, JOHN C. ; ERWIN, HARRY R. ; Wermter, Stefan . Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks , v. 22, p. 173-189, 2009.
BELLOTTO, N. ; BURN, K. ; FLETCHER, E. ; Wermter, S. . Appearance-based localization for mobile robots using digital zoom and visual compass. Robotics and Autonomous Systems (Print) , v. 56, p. 143-156, 2008.
Wermter, S . Hybrid Intelligent Systems. NETWorks - The Science Engineering and Technology magazine for North East England. , v. 5, p. 14-15, 2008.
HUNG, CHIHLI ; Wermter, Stefan . A novel self-organising clustering model for time-event documents. Electronic Library , v. 26, p. 260-272, 2008.
Weber, Cornelius ; Wermter, Stefan . A self-organizing map of sigma-pi units. Neurocomputing (Amsterdam) , v. 70, p. 2552-2560, 2007.
GARFIELD, SHEILA ; Wermter, Stefan . Call classification using recurrent neural networks, support vector machines and finite state automata. Knowledge and Information Systems (Print) , v. 9, p. 131-156, 2006.
PANCHEV, CHRISTO ; Wermter, Stefan . Temporal sequence detection with spiking neurons: towards recognizing robot language instructions. Connection Science (Print) , v. 18, p. 1-22, 2006.
Weber, Cornelius ; Wermter, Stefan ; Elshaw, Mark . A hybrid generative and predictive model of the motor cortex. Neural Networks , v. 19, p. 339-353, 2006.
MALONE, JAMES ; MCGARRY, KENNETH ; Wermter, Stefan ; BOWERMAN, CHRIS . Data mining using rule extraction from Kohonen self-organising maps. Neural Computing & Applications (Print) , v. 15, p. 9-17, 2006.
GARFIELD, SHEILA ; Wermter, Stefan ; DEVLIN, SIOBHAN . Spoken language classification using hybrid classifier combination. International Journal of Hybrid Intelligent Systems , v. 2, p. 13-33, 2005.
HUNG, CHIHLI ; Wermter, Stefan . Neural Network Based Document Clustering Using WordNet Ontologies. International Journal of Hybrid Intelligent Systems , v. 1, p. 127-142, 2005.
PANCHEV, CHRISTO ; Wermter, Stefan . Spike-timing-dependent synaptic plasticity: from single spikes to spike trains. Neurocomputing (Amsterdam) , v. 58-60, p. 365-371, 2004.
Wermter, S. ; WEBER, C. ; ELSHAW, M. ; PANCHEV, C. ; ERWIN, H. ; PULVERMÜLLER, F. . Towards multimodal neural robot learning. Robotics and Autonomous Systems (Print) , v. 47, p. 171-175, 2004.
CHIHLI HUNG ; Wermter, S. ; SMITH, P. . Hybrid neural document clustering using guided self-organization and WordNet. IEEE Intelligent Systems , v. 19, p. 68-77, 2004.
COX, S. ; OAKES, M. ; Wermter, S ; HAWTHORNE, M. . AudioMine: Medical Data Mining in Heterogeneous Audiology Records. World Academy of Science, Engineering and Technology. Proceedings , v. 1, p. 8, 2004.
AREVIAN, GAREN ; Wermter, Stefan ; PANCHEV, CHRISTO . Symbolic state transducers and recurrent neural preference machines for text mining. International Journal of Approximate Reasoning , v. 32, p. 237-258, 2003.
Wermter, Stefan ; Elshaw, Mark ; FARRAND, SIMON . A modular approach to self-organization of robot control based on language instruction. Connection Science (Print) , v. 15, p. 73-94, 2003.
Wermter, Stefan ; Elshaw, Mark . Learning robot actions based on self-organising language memory. Neural Networks , v. 16, p. 691-699, 2003.
GARFIELD, SHEILA ; Wermter, S . Recurrent Neural Learning for Classifying Spoken Utterances. Expert Update , v. 6, p. 31-36, 2003.
Wermter, Stefan ; PANCHEV, CHRISTO . Hybrid preference machines based on inspiration from neuroscience. Cognitive Systems Research , v. 3, p. 255-270, 2002.
MCGARRY, KENNETH ; Wermter, Stefan ; MACINTYRE, JOHN . THE EXTRACTION AND COMPARISON OF KNOWLEDGE FROM LOCAL FUNCTION NETWORKS. International Journal on Computational Intelligence and Applications , v. 01, p. 369-382, 2001.
Wermter, S ; SUN, R. . The Present and the Future of Hybrid Symbolic Systems. The AI Magazine , v. 22, p. 123, 2001.
Wermter, Stefan . Neural Network Agents for Learning Semantic Text Classification. Information Retrieval (Boston) , v. 3, p. 87-103, 2000.
Wermter, Stefan . NEURAL FUZZY PREFERENCE INTEGRATION USING NEURAL PREFERENCE MOORE MACHINES. International Journal of Neural Systems , v. 10, p. 287-309, 2000.
Wermter, Stefan . Knowledge Extraction from Transducer Neural Networks. Applied Intelligence (Boston) , v. 12, p. 27-42, 2000.
WERMTER, S. ; WEBER, V. . SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. The Journal of Artificial Intelligence Research (Print) , v. 6, p. 35-85, 1997.
Wermter, S. ; Weber, V. . Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. The Journal of Artificial Intelligence Research (Print) , v. 6, p. 35, 1997.
Wermter, S. ; WEBER, V. . Interactive spoken-language processing in a hybrid connectionist system. Computer (Long Beach, Calif. Print) , v. 29, p. 65-74, 1996.
MCGARRY, K. ; Wermter, S. ; MACINTYRE, J. . Hybrid Neural Systems: From Simple Coupling to Fully Integrated Neural Networks. Neural Computing Surveys , v. 2, p. 62-94, 1994.
WERMTER, S. . Konnektionistische/Hybride Verarbeitung Natürlicher Sprache. Künstliche Intelligenz , v. 93, p. 42-44, 1993.
Wermter, Stefan ; LEHNERT, WENDY G. . A survey of question answering in natural language processing. Poetics (Amsterdam) , v. 19, p. 99-120, 1990.
Wermter, Stefan ; LEHNERT, WENDY G. . A Hybrid Symbolic/Connectionist Model for Noun Phrase Understanding. Connection Science (Print) , v. 1, p. 255-272, 1989.
PARISI, GERMAN I. ; Wermter, Stefan . Studies in Computational Intelligence. 00. ed. Springer International Publishing, 2016.
Wermter, S. ; WEBER, C. ; DUCH, W. ; HONKELA, T. ; KOPRINKOVA-HRISTOVA, P. ; MAGG, S. ; PALM, G. ; VILLA, A. E. . Artificial Neural Networks and Machine Learning -- ICANN 2014. 1. ed. Springer-Verlag Berlin Heidelberg, 2014. 852p .
Wermter, S ; PALM, G. ; ELSHAW, M. . Biomimetic Neural Learning for Intelligent Robots. 1. ed. Springer-Verlag Berlin Heidelberg, 2005. 383p .
Wermter, S. ; AUSTIN, J. ; WILLSHAW, D. . Emergent Neural Computational Architectures Based on Neuroscience. 1. ed. Springer-Verlag Berlin Heidelberg, 2001. 582p .
Wermter, S. ; SUN, R. . Hybrid Neural Systems. 1. ed. Springer-Verlag Berlin Heidelberg, 2000. 401p .
Wermter, S. ; RILOFF, E. ; SCHELER, G. . Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing. 1. ed. Springer-Verlag Berlin Heidelberg, 1996. 474p .
Heinrich, Stefan ; Magg, Sven ; Wermter, Stefan . Analysing the Multiple Timescale Recurrent Neural Network for Embodied Language Understanding. Springer Series in Bio-/Neuroinformatics. 1ed.: Springer International Publishing, 2015, v. , p. 149-174.
YAN, WENJIE ; TORTA, ELENA ; van der Pol, David ; MEINS, NILS ; Weber, Cornelius ; CUIJPERS, RAYMOND H. ; Wermter, Stefan . Learning Robot Vision for Assisted Living. Robotic Vision. 1ed.: IGI Global, 2013, v. , p. 257-280.
Ravulakollu, Kiran ; Knowles, Michael ; Liu, Jindong ; Wermter, Stefan . Towards Computational Modelling of Neural Multimodal Integration Based on the Superior Colliculus Concept. Studies in Computational Intelligence. 1ed.: Springer Berlin Heidelberg, 2009, v. , p. 269-291.
Weber, Cornelius ; Elshaw, Mark ; Wermter, Stefan ; Triesch, Jochen ; Willmot, Christopher . Reinforcement Learning Embedded in Brains and Robots. Reinforcement Learning. 1ed.: I-Tech Education and Publishing, 2008, v. , p. 119-142.
Weber, Cornelius ; Elshaw, Mark ; Triesch, Jochen ; Wermter, Stefan . Neural Control of Actions Involving Different Coordinate Systems. Humanoid Robots, Human-like Machines. 1ed.: I-Tech Education and Publishing, 2007, v. , p. 577-600.
Muse, David ; Weber, Cornelius ; Wermter, Stefan . Robot Docking Based on Omnidirectional Vision and Reinforcement Learning. Research and Development in Intelligent Systems XXII. 1ed.: Springer London, 2006, v. , p. 23-36.
Weber, Cornelius ; Muse, David ; Elshaw, Mark ; Wermter, Stefan . A Camera-Direction Dependent Visual-Motor Coordinate Transformation for a Visually Guided Neural Robot. Applications and Innovations in Intelligent Systems XIII. 1ed.: Springer London, 2006, v. , p. 151-164.
Muse, David ; Weber, Cornelius ; Wermter, Stefan . Robot Docking Based on Omnidirectional Vision and Reinforcement Learning. Research and Development in Intelligent Systems XXII. 5ed.: Springer London, 2006, v. 19, p. 23-36.
Weber, Cornelius ; Wermter, Stefan . Image Segmentation by Complex-Valued Units. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2005, v. , p. 519-524.
Weber, Cornelius ; Muse, David ; Elshaw, Mark ; Wermter, Stefan . Reinforcement Learning in MirrorBot. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2005, v. , p. 305-310.
Chokshi, Kaustubh ; Wermter, Stefan ; PANCHEV, CHRISTO ; Burn, Kevin . Image Invariant Robot Navigation Based on Self Organising Neural Place Codes. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2005, v. 3575, p. 88-106.
MURRAY, JOHN C. ; ERWIN, HARRY ; Wermter, Stefan . A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2005, v. 3575, p. 73-87.
Wermter, Stefan ; Weber, Cornelius ; Elshaw, Mark ; Gallese, Vittorio ; Pulvermüller, Friedemann . Grounding Neural Robot Language in Action. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2005, v. 3575, p. 162-181.
Wermter, Stefan ; Palm, Günther ; Weber, Cornelius ; Elshaw, Mark . Towards Biomimetic Neural Learning for Intelligent Robots. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2005, v. 3575, p. 1-18.
HUNG, CHIHLI ; Wermter, Stefan ; Smith, Peter . Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2004, v. , p. 154-166.
HUNG, CHIHLI ; Wermter, Stefan . A Self-Organising Hybrid Model for Dynamic Text Clustering. Research and Development in Intelligent Systems XX. 1ed.: Springer London, 2004, v. , p. 141-154.
Weber, Cornelius ; Wermter, Stefan ; Zochios, Alexandros . Robot Docking with Neural Vision and Reinforcement. Applications and Innovations in Intelligent Systems XI. 1ed.: Springer London, 2004, v. , p. 213-226.
Elshaw, Mark ; Lewis, Debra ; Wermter, Stefan . Incorporating Reactive Learning Behaviour into a Mini-robot Platform. Research and Development in Intelligent Systems XX. 1ed.: Springer London, 2004, v. , p. 255-266.
Weber, Cornelius ; Wermter, Stefan . Object Localisation Using Laterally Connected What and Where Associator Networks. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2003, v. , p. 813-820.
Chokshi, Kaustubh ; Wermter, Stefan ; Weber, Cornelius . Learning Localisation Based on Landmarks Using Self-Organisation. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2003, v. , p. 504-511.
GARFIELD, SHEILA ; Wermter, Stefan . Recurrent Neural Learning for Helpdesk Call Routing. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2002, v. , p. 296-301.
PANCHEV, CHRISTO ; Wermter, Stefan ; Chen, Huixin . Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2002, v. , p. 896-901.
Womble, Steve ; Wermter, Stefan . Mirror Neurons and Feedback Learning. In: Maxim I. Stamenov; Vittorio Gallese. (Org.). Mirror Neurons and the Evolution of Brain and Language. 1ed.Amsterdã: John Benjamins Publishing Company, 2002, v. 42, p. 353-362.
Womble, Steve ; Wermter, Stefan . A Mirror Neuron System for Syntax Acquisition. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2001, v. , p. 1233-1238.
Wermter, Stefan ; Elshaw, Mark ; Austin, Jim ; Willshaw, David . Towards Novel Neuroscience-Inspired Computing. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2001, v. 2036, p. 1-19.
Wermter, S . The Hybrid Approach to Artificial Neural Network-based Language Processing.. In: Dale R.; Moisl H.; Somers H.. (Org.). Handbook of Natural Language Processing. 1ed.Nova Iorque: Marcel Dekker, 2000, v. 1, p. 823-846.
Wermter, Stefan ; AREVIAN, GAREN ; PANCHEV, CHRISTO . Towards Hybrid Neural Learning Internet Agents. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2000, v. 1778, p. 158-174.
Chen, Joseph ; Wermter, Stefan . Continuous Time Recurrent Neural Networks for Grammatical Induction. Perspectives in Neural Computing. 1ed.: Springer London, 1998, v. , p. 381-386.
Wermter, S ; HANNUSCHKA, R. . A Connectionist Model for the Interpretation of Metaphors. In: Dorffner G.. (Org.). Neural Networks and a New AI.. 1ed.Londres: International Thomson Computer Press., 1997, v. 1, p. 255-276.
Weber, Volker ; Wermter, Stefan . Using hybrid connectionist learning for speech/language analysis. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 1996, v. 1040, p. 87-101.
WEBER, V. ; Wermter, S . Towards Learning Semantics of Spontaneous Dialog Utterances in a Hybrid Framework. In: Hallam, J.. (Org.). Hybrid Problems, Hybrid Solutions. 1ed.Amsterdã: IOS Press, 1995, v. 27, p. 229-238.
Wermter, S ; LEHNERT, WENDY G. . A Parallel Model for Compositional Similarity of Natural Language Concepts. In: Hahn U., Adriaens G.. (Org.). Parallel Natural Language Processing. 1ed.: Ablex Publishers, 1994, v. 1, p. 376-393.
Wermter, S ; LEHNERT, WENDY G. . Noun Phrase Analysis with Connectionist Networks. In: Reilly R.; Sharkey N.. (Org.). Connectionist Approaches to Language Processing. 1ed.: Lawrence Erlbaum Associates, 1992, v. 1, p. 75-95.
Wermter, Stefan . Learning to Classify Natural Language Titles in a Recurrent Connectionist Model. Artificial Neural Networks. 1ed.: Elsevier, 1991, v. , p. 1715-1718.
Wermter, Stefan . Combining Symbolic and Connectionist Techniques for Coordination in Natural Language. Informatik-Fachberichte. 1ed.: Springer Berlin Heidelberg, 1990, v. , p. 186-195.
PARISI, GERMAN I. ; VON STOSCH, FLORIAN ; Magg, Sven ; Wermter, Stefan . Learning human motion feedback with neural self-organization. In: 2015 International Joint Conference on Neural Networks (IJCNN), 2015, Killarney. 2015 International Joint Conference on Neural Networks (IJCNN). p. 1.
HAMESTER, DENNIS ; BARROS, PABLO ; Wermter, Stefan . Face expression recognition with a 2-channel Convolutional Neural Network. In: 2015 International Joint Conference on Neural Networks (IJCNN), 2015, Killarney. 2015 International Joint Conference on Neural Networks (IJCNN), 2015. p. 1.
CRUZ, FRANCISCO ; TWIEFEL, JOHANNES ; Magg, Sven ; Weber, Cornelius ; Wermter, Stefan . Interactive reinforcement learning through speech guidance in a domestic scenario. In: 2015 International Joint Conference on Neural Networks (IJCNN), 2015, Killarney. 2015 International Joint Conference on Neural Networks (IJCNN), 2015. p. 1.
STAHLHUT, C. ; NAVARRO-GUERRERO, N. ; WEBER, C. ; Wermter, Stefan . Interaction Is More Beneficial in Complex Reinforcement Learning Problems than in Simple Ones. In: Proceedings of the Interdisziplinärer Workshop Kognitive Systeme, 2015, Bielefeld. Proceedings of the Interdisziplinärer Workshop Kognitive Systeme, 2015.
POSCHINGER-CAMPHAUSEN, D. V. ; WEBER, C. ; Wermter, Stefan . A Generative Model of Decorrelating Color Sensitive Retinal Ganglion Cells. In: 11th Göttingen Meeting of the German Neuroscience Society, 2015, Göttingen. Proceedings of the 11th Göttingen Meeting of the German Neuroscience Society, Göttingen, 2015.
JIRAK, D. ; BARROS, P. ; Wermter, S . Dynamic Gesture Recognition Using Echo State Networks. In: European Symposium on Artifical Neural Networks, Computational Intelligence and Machine Learning, ESANN '15, 2015, Bruges. Proceedings of 23th European Symposium on Artifical Neural Networks, Computational Intelligence and Machine Learning, ESANN '15, 2015. p. 475-480.
SOARES, M. B. ; BARROS, P. ; PARISI, GERMAN I. ; Wermter, S. . Learning objects from RGB-D sensors using point cloud-based neural networks. In: European Symposium on Artifical Neural Networks, Computational Intelligence and Machine Learning, ESANN '15, 2015, Bruges. Proceedings of 23th European Symposium on Artifical Neural Networks, Computational Intelligence and Machine Learning, ESANN '15, 2015. p. 439-444.
BARROS, PABLO ; Weber, Cornelius ; Wermter, Stefan . Emotional expression recognition with a cross-channel convolutional neural network for human-robot interaction. In: 2015 IEEERAS 15th International Conference on Humanoid Robots (Humanoids), 2015, Seoul. 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), 2015. p. 582.
BARROS, PABLO ; PARISI, GERMAN I. ; JIRAK, DOREEN ; Wermter, Stefan . Real-time gesture recognition using a humanoid robot with a deep neural architecture. In: 2014 IEEERAS 14th International Conference on Humanoid Robots (Humanoids 2014), 2014, Madrid. 2014 IEEE-RAS International Conference on Humanoid Robots, 2014. p. 646.
PARISI, GERMAN IGNACIO ; STRAHL, ERIK ; Wermter, Stefan . Robust fall detection with an assistive humanoid robot. In: 2014 IEEERAS 14th International Conference on Humanoid Robots (Humanoids 2014), 2014, Madrid. 2014 IEEE-RAS International Conference on Humanoid Robots, 2014. p. 1013.
CRUZ, FRANCISCO ; Magg, Sven ; Weber, Cornelius ; Wermter, Stefan . Improving reinforcement learning with interactive feedback and affordances. In: 2014 Joint IEEE International Conferences on Development and Learning and Epigenetic Robotics (ICDLEpirob), 2014, Genoa. 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014. p. 165.
SOARES, M. B. ; BARROS, P. ; Wermter, S. . Learning Objects From RGB-D Sensors for Cleaning Tasks Using a Team of Cooperative Humanoid Robots. In: 15th Towards Autonomous Robots, TAROS 2014, LNAI 8717, 2014, Birmingham. Proceedings of 15th Towards Autonomous Robots, TAROS 2014, LNAI 8717, 2014. p. 273-274.
PARISI, GERMAN I. ; WEBER, C. ; Wermter, S. . Human Action Recognition with Hierarchical Growing Neural Gas Learning. In: 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014, Hamburgo. Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014. p. 89-96.
MULLER, S. ; WEBER, C. ; Wermter, S. . RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot.. In: 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014, Hamburgo. Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014. p. 789-796.
HINAUT, X. ; Wermter, S. . An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks.. In: 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014, Hamburgo. Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014. p. 33-40.
Heinrich, Stefan ; Wermter, S. . Interactive Language Understanding with Multiple Timescale Recurrent Neural Networks.. In: 24th International Conference on Artificial Neural Networks (ICANN 2014)24th International Conference on Artificial Neural Networks (ICANN 2014), 2014, Hamburgo. Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014. p. 193-200.
DÁVILA-CHACÓN, JORGE ; TWIEFEL, J. ; LIU, J. ; Wermter, S. . Improving Humanoid Robot Speech Recognition with Sound Source Localisation.. In: 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014, Hamburgo. Proceedings Of the 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014. p. 619-626.
BARROS, P. ; MAGG, S. ; WEBER, C. ; Wermter, S. . A Multichannel Convolutional Neural Network for Hand Posture Recognition. In: 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014, Hamburgo. Proceedings Of the 24th International Conference on Artificial Neural Networks (ICANN 2014), 2014. p. 403-410.
PARISI, GERMAN I. ; JIRAK, DOREEN ; Wermter, Stefan . HandSOM - neural clustering of hand motion for gesture recognition in real time. In: 2014 ROMAN: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014, Edinburgh. The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014. p. 981-986.
RUBRUCK, A. ; AMINIAN, A. ; YALPI, J. ; HANZAL, P. ; KUPPUSAMI, S. ; YOUNIS, S. ; THOMAS, S. ; DÁVILA-CHACÓN, JORGE ; Heinrich, Stefan ; Wermter, S. . CoCoCo, Coffee Collecting Companion. In: 28th AAAI Conference on Artificial Intelligence (AAAI-14), 2014, Quebec. Proceedings of the 8th AAAI Video Competition at the 28th AAAI Conference on Artificial Intelligence (AAAI-14), 2014.
TWIEFEL, J. ; BAUMANN, T. ; Heinrich, Stefan ; Wermter, S. . Improving Domain-independent Cloud-based Speech Recognition with Domain-dependent Phonetic Post-processing. In: 28th AAAI Conference on Artificial Intelligence (AAAI-14), 2014, Quebec. Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14), 2014. p. 1529-1535.
PARISI, GERMAN I. ; STRAHL, E. ; Wermter, S. . Häusliche Sturzerkennung mit einem mobilen Roboter. In: eHealth Conference, 2014, Hamburg. Presentation at the eHealth Conference, 2014.
Wermter, S. ; BAUER, JOHANNES ; DÁVILA-CHACÓN, JORGE . Sound Source Localization and Multimodal Integration with the iCub head. In: IEEE International Conference on Robotics and Automation (ICRA), 2014. Proceedings of the "iCub Workshop on Open Source Robotics" at the IEEE International Conference on Robotics and Automation (ICRA).
PARISI, GERMAN I. ; BARROS, P. ; Wermter, S. . FINGeR: Framework for Interactive Neural-based Gesture Recognition. In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN '14), 2014, Bruges. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN '14), 2014.
HAMESTER, DENNIS ; JIRAK, DOREEN ; Wermter, Stefan . Improved estimation of hand postures using depth images. In: 2013 16th International Conference on Advanced Robotics (ICAR 2013), 2013, Montevideo. 2013 16th International Conference on Advanced Robotics (ICAR), 2013. p. 1.
Heinrich, Stefan ; WEBER, C. ; Wermter, S. . Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network.. In: 23rd International Conference on Artificial Neural Networks (ICANN 2013), 2013. Proceedings of the 23rd International Conference on Artificial Neural Networks (ICANN 2013). p. 216-223.
DAVILA-CHACON, JORGE ; Magg, Sven ; Liu, Jindong ; Wermter, Stefan . Neural and statistical processing of spatial cues for sound source localisation. In: 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas), 2013, Dallas. The 2013 International Joint Conference on Neural Networks (IJCNN), 2013. p. 1.
PARISI, GERMAN IGNACIO ; Wermter, Stefan . Hierarchical SOM-based detection of novel behavior for 3D human tracking. In: 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas), 2013, Dallas. The 2013 International Joint Conference on Neural Networks (IJCNN), 2013. p. 1.
MEINS, NILS ; Magg, Sven ; Wermter, Stefan . Neural Hopfield-ensemble for multi-class head pose detection. In: 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas), 2013, Dallas. The 2013 International Joint Conference on Neural Networks (IJCNN), 2013. p. 1.
BAUER, JOHANNES ; Wermter, S. . Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data.. In: International Joint Conference on Artificial Intelligence (IJCAI-13), 2013, Beijing. International Joint Conference on Artificial Intelligence (IJCAI-13), 2013.
BAUER, JOHANNES ; Wermter, S. . Learning Multi-Sensory integration with Self-Organization and Statistics. In: Ninth International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'13), 2013, Beijing. Ninth International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'13), 2013. p. 7-12.
Heinrich, Stefan ; FOLLEHER, P. ; SPRINGSTUBE, P. ; STRAHL, E. ; TWIEFEL, J. ; WEBER, C. ; WERMTER, S. . Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction. In: IEEE First International Conference on Cognitive Systems and Information Processing (CSIP 2012), 2012, Beijing. Proceedings of the IEEE First International Conference on Cognitive Systems and Information Processing (CSIP 2012), 2012.
MEINS, NILS ; JIRAK, DOREEN ; Weber, Cornelius ; Wermter, Stefan . Adaboost and Hopfield Neural Networks on different image representations for robust face detection. In: 2012 12th International Conference on Hybrid Intelligent Systems (HIS), 2012, Pune. 2012 12th International Conference on Hybrid Intelligent Systems (HIS). p. 531.
BAUER, JOHANNES ; DAVILA-CHACON, JORGE ; STRAHL, ERIK ; Wermter, Stefan . Smoke and mirrors ? Virtual realities for sensor fusion experiments in biomimetic robotics. In: 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2012), 2012, Hamburg. 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012. p. 114.
Heinrich, Stefan ; WEBER, C. ; WERMTER, S. . Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network.. In: International Conference on Artificial Neural Networks (ICANN 2012), 2012, Lausanne. Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012), 2012.
ZHONG, JUNPEI ; WEBER, C. ; WERMTER, S. . Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model.. In: 22nd International Conference on Artificial Neural Networks (ICANN 2012), 2012, Lausanne. Proceedins of the 22nd International Conference on Artificial Neural Networks (ICANN 2012), 2012. p. 539-546.
MEINS, NILS ; WERMTER, S. ; WEBER, C. . Hybrid Ensembles Using Hopfield Neural Networks. In: 22nd International Conference on Artificial Neural Networks (ICANN 2012), 2012, Lausanne. Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012), 2012. p. 403-410.
DAVILA-CHACON, JORGE ; Heinrich, Stefan ; LIU, J. ; WERMTER, S. . Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. In: 22nd International Conference on Artificial Neural Networks (ICANN 2012), 2012, Lausanne. Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012), 2012. p. 239-246.
BAUER, JOHANNES ; Weber, Cornelius ; Wermter, Stefan . A SOM-based model for multi-sensory integration in the superior colliculus. In: 2012 International Joint Conference on Neural Networks (IJCNN 2012 Brisbane), 2012, Brisbane. The 2012 International Joint Conference on Neural Networks (IJCNN), 2012. p. 1.
YAN, WENJIE ; Weber, Cornelius ; Wermter, Stefan . A neural approach for robot navigation based on cognitive map learning. In: 2012 International Joint Conference on Neural Networks (IJCNN 2012 Brisbane), 2012, Brisbane. The 2012 International Joint Conference on Neural Networks (IJCNN), 2012. p. 1.
NAVARRO-GUERRERO, NICOLAS ; LOWE, ROBERT ; Wermter, Stefan . A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach. In: 2012 International Joint Conference on Neural Networks (IJCNN 2012 Brisbane), 2012, Brisbane. The 2012 International Joint Conference on Neural Networks (IJCNN), 2012. p. 1.
ZHONG, JUNPEI ; WEBER, C. ; WERMTER, S. . Learning features and transformations with a predictive horizontal product model.. In: Sixteenth International Conference on Cognitive and Neural Systems (ICCNS 2012), 2012, Boston. Proceedings of the Sixteenth International Conference on Cognitive and Neural Systems (ICCNS 2012), 2012.
TRIPATHI, NANDITA ; OAKES, M. ; WERMTER, S. . A Fast Subspace Text Categorization Method Using Parallel Classifiers. In: 3th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2012, Nova Deli. Proceedings of the 3th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2012. p. 132-143.
KLEESIEK, J. ; BADDE, S. ; WERMTER, S. ; ENGEL, A. K. . What Do Objects Feel Like? - Active Perception for a Humanoid Robot. In: 4th International Conference on Agents and Artificial Intelligence (ICAART 2012), 2012, Vilamoura. Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART 2012), 2012. p. 64-73.
TRIPATHI, NANDITA ; OAKES, MICHAEL ; Wermter, Stefan . Hybrid classifiers for improved semantic subspace learning of news documents. In: 2011 11th International Conference on Hybrid Intelligent Systems (HIS 2011), 2011, Melacca. 2011 11th International Conference on Hybrid Intelligent Systems (HIS), 2011. p. 28-33.
NAVARRO, N. ; LOWE, R. ; WEBER, C. ; WERMTER, S. . Many-routes hypothesis of fear conditioning: a dynamical reservoir based approach.. In: Marie-Curie Researchers Symposium Poster, 2011, Varsóvia. Marie-Curie Researchers Symposium Poster, 2011.
ZHONG, JUNPEI ; WEBER, C. ; WERMTER, S. . Restricted Boltzmann Machine with Transformation Units in a Mirror Neuron System Architecture.. In: IROS2011 Workshop on Cognitive Neuroscience Robotics (CNR), 2011, São Francisco. Proceedings of the IROS2011 Workshop on Cognitive Neuroscience Robotics (CNR), 2011. p. 23-28.
NAVARRO, N. ; WEBER, C. ; WERMTER, S. . Real-world reinforcement learning for autonomous humanoid robot charging in a home environment. In: 12th Annual Conference Towards Autonomous Robotic Systems (TAROS 2011), 2011, Sheffield. Proceedings of the 12th Annual Conference Towards Autonomous Robotic Systems (TAROS 2011), 2011. v. 6856. p. 231-240.
KLEESIEK, JENS ; ENGEL, ANDREAS K. ; Weber, Cornelius ; Wermter, Stefan . Reward-driven learning of sensorimotor laws and visual features. In: 2011 IEEE International Conference on Development and Learning (ICDL), 2011, Frankfurt am Main. 2011 IEEE International Conference on Development and Learning (ICDL), 2011. p. 1-6.
YAN, WENJIE ; WEBER, C. ; WERMTER, S. . Person tracking based on a hybrid neural probabilistic model. In: 21st International Conference on Artificial Neural Networks (ICANN 2011), 2011, Espoo. Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN 2011), 2011. p. 365-372.
ZHONG, JUNPEI ; WEBER, C. ; WERMTER, S. . Robot Trajectory Prediction and Recognition based on a Computational Mirror Neurons Model.. In: 21st International Conference on Artificial Neural Networks (ICANN 2011), 2011, Espoo. Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN 2011), 2011. p. 333-340.
TRIPATHI, NANDITA ; OAKES, MICHAEL ; WERMTER, S. . Hybrid Parallel Classifiers for Semantic Subspace Learning. In: 21st International Conference on Artificial Neural Networks (ICANN 2011), 2011, Espoo. Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN 2011), 2011. p. 64-70.
Heinrich, Stefan ; EBERLING, M. ; WERMTER, S. . Determining Cooperation in Multiagent Systems with Cultural Traits. In: 3rd International Conference on Agents and Artificial Intelligence, 2011, Roma. roceedings of the 3rd International Conference on Agents and Artificial Intelligence, 2011. v. 2. p. 173-180.
Heinrich, Stefan ; WERMTER, S. . Towards Robust Speech Recognition for Human-Robot Interaction. In: IROS2011 Workshop on Cognitive Neuroscience Robotics (CNR), 2011, São Francisco. Proceedings of the IROS2011 Workshop on Cognitive Neuroscience Robotics (CNR), 2011. p. 29-34.
Knowles, Michael ; BAGLEE, D. ; WERMTER, S. . Reinforcement Learning for Scheduling of Maintenance.. In: 30th International Conference on Artificial Intelligence (SGAI 2010), 2010, Cambridge. Proceedings of the 30th International Conference on Artificial Intelligence (SGAI 2010), 2010. p. 409-422.
KLEESIEK, J. ; ENGEL, A. K. ; WERMTER, S. ; WEBER, C. . Object Affordances in the Context of Sensory Motor Contingencies. In: Bernstein Conference on Computational Neuroscience, 2010, Berlim. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience, 2010. p. 586-592.
YAU, CHI-YUNG ; Burn, Kevin ; Wermter, Stefan . Configuring the stochastic Helmholtz machine for subcortical emotional learning. In: 2010 International Joint Conference on Neural Networks (IJCNN), 2010, Barcelona. The 2010 International Joint Conference on Neural Networks (IJCNN), 2010. p. 1.
TRIPATHI, NANDITA ; Wermter, Stefan ; HUNG, CHIHLI ; OAKES, MICHAEL . Semantic Subspace Learning with conditional significance vectors. In: 2010 International Joint Conference on Neural Networks (IJCNN), 2010, Barcelona. The 2010 International Joint Conference on Neural Networks (IJCNN), 2010. p. 1.
ANWAR, M. N. ; OAKES, MICHAEL ; WERMTER, S. ; Heinrich, Stefan . Clustering Audiology Data. In: 19th Annual Belgian-Dutch Conference on Machine Learning (BeneLearn 2010), 2010, Leuven. Proceedings of the 19th Annual Belgian-Dutch Conference on Machine Learning (BeneLearn 2010), 2010.
LIU, J. ; PEREZ-GONZALEZ, D. ; REES, A. ; ERWIN, H. ; WERMTER, S. . Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain. In: Artificial Neural Networks -ICANN 2009, 2009, Limassol. Artificial Neural Networks -ICANN 2009, 2009. p. 208-217.
JINDONG LIU ; PEREZ-GONZALEZ, DAVID ; REES, ADRIAN ; ERWIN, HARRY ; Wermter, Stefan . A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments. In: 2009 International Joint Conference on Neural Networks (IJCNN 2009 Atlanta), 2009, Atlanta. 2009 International Joint Conference on Neural Networks, 2009. p. 1855-1862.

Projetos de pesquisa

2016 - Atual

Cross-modal Learning (CROSS), Descrição: CROSS é um projeto que tem como objetivo iniciar a integração entre pesquisas das ciências da vida (neurociência e psicologia) e ciência da computação com uma parceria entre Hamburgo e Pequim. O projeto define uma pesquisa colaborativa de cunho interdisciplinar entre inteligência artificial, neurociência e psicologia enquanto foca em tópicos em aprendizagem cros-modalidades. Nosso desafio a longo termo é entender as evidências neurais, cognitivas e computacionais para aprendizagem cros-modalidades e usar esse conhecimento para (1) melhor analizar o comportamento humano e (2) construir sistemas computacionais cros-modais efetivos.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Stefan Wermter - Coordenador / Magg, Sven - Integrante / Weber, Cornelius - Integrante / J Zhang - Integrante., Financiador(es): Fundacao de Pesquisa Alema - Auxílio financeiro / Hamburg Landesforschungsförderung - Auxílio financeiro.
2015 - Atual

SECURE, SAFETY ENABLES COOPERATION IN UNCERTAIN ROBOTIC ENVIRONMENTS, Descrição: A maior parte da utilização de robôs na indústria diz respeito aos robôs pré-programáveis trabalhando em zonas seguras com alertas visuais e sonoros e pouco conceito de sensibilização para a segurança inteligente necessária para ambientes humanos ou domésticos dinâmicos e imprevisíveis. No futuro, novos acompanhantes robóticos com capacidade cognitiva serão desenvolvidos, indo desde robôs para serviços até humanóides, os quais devem estar aptos para aprender com o usuário e se adaptar a contextos dinâmicos. Tal desenvolvimento irá levar a novos desafios de cooperação e segurança entre humanos e robôs, indo além do estado-da-arte atual. O projeto SECURE tem por objetivo o treinamento de uma nova geração de pesquisadores em conceitos de robôs cognitivos seguros. A área de domínio do treinamento irá integrar conceitos multidisciplinaresc dos campos de interação cognitiva humano-robô, ciência da computação e robótica inteligente onde uma nova abordagem de integrar princípios de realização, situação e interação será perseguido para enfrentar futuros desafios para ambientes humanos-robôs seguros. Esse projeto é financiado pelo programa de pesquisa e inovação da European Union?s Horizon 2020 num valor total de ? 3.106.496,00.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Stefan Wermter - Coordenador / Magg, Sven - Integrante / WEBER, C. - Integrante., Financiador(es): EU Marie Curie ITN Project - Auxílio financeiro.
2013 - Atual

GESTURES AND REFERENCE INSTRUCTIONS FOR DEEP ROBOT LEARNING (GRID), Descrição: Este projeto propõe soluções na interação humano-máquina através do uso de arquiteturas neurals profundas, simulando processamento multimodal do cérebro humano. Em uma cooperação entre pesquisadores deste projeto com o Prof. Bruno Fernandes, é analisado o aprendizado de redes neurais profundas em aplicações de reconhecimento de padrões.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Stefan Wermter - Coordenador / Pablo Vinicius Alves Barros - Integrante / Bruno José Torres Fernandes - Integrante.

Histórico profissional

Endereço profissional

Universität Hamburg. , Vogt Koelln Str. 30, xx, 000000 - Hamburg, - Alemanha, Telefone: (00) 00000000

Experiência profissional

2010 - Atual

Universität Hamburg

Vínculo: Servidor Público, Enquadramento Funcional: Chair of Knowledge Technology

Atividades

01/2010
Pesquisa e desenvolvimento , Departamento de Ciência da Computação, .,Linhas de pesquisa