The Department of Informatics is part of the Faculty of Mathematics, Informatics and Natural Sciences of the University of Hamburg. There are currently three research centers associated with the Department of Informatics, one - the Center for Intelligent Systems and Robotics (ISR) - is involved in CINACS and holds the following participating research groups.
TAMS : Technical Aspects of Multimodal SystemsProf. Dr. Jianwei Zhang , PhD Students Dominik Off
The general purpose of this institute is to develop methods and implement integrated real-time systems for acquiring, processing and applying information from multiple channels like robotic vision, speech and sound, touch through action, etc. The research topics include multi-modal control architecture, sensor-based manipulation, robot learning, human perception, man-machine-interaction, computer architecture and VLSI design technologies. In the future, we will further develop methods and systems and apply them in service robots, active media, intelligent sensors and advanced nano-manipulation platforms.
WSV : Knowledge and Language ProcessingProf. Dr. Christopher Habel , PhD Students Kris Lohmann and Christian Graf
The research group investigates higher cognitive processes like language understanding and production, inference drawing, problem solving as well as learning and knowledge acquisition. The research is carried out from an interdisciplinarily point of view: methods of Computer Science/Artificial Intelligence are added by methods and findings from Linguistics, Psychology and Logic. The aim of the investigations undertaken by this research group is the development of mathematical/formal models for cognition, the evaluation of these models by system simulations, and the conception and realisation of application oriented AI-systems on the basis of Cognitive Science.
NatS : Natural Language SystemsProf. Dr.-Ing. Wolfgang Menzel , PhD Students Niels Beuck and Christopher Baumgärtner
The Natural Language Systems Division (NatS) is dedicated to the design and realization of software systems for knowledge-based natural language processing. Special focus is on access to large information systems, information extraction from documents, information summarization for texts or complex information processing results, machine translation and interpreting, as well as computer-assisted language learning.
Moreover, fundamental research is conducted into central issues of speech and language processing that are crucial for the deployment of human language technology in everyday settings. These inquiries are geared towards increasing robustness and fault tolerance of natural language systems and providing means for adapting to user expectations and actions in order to facilitate flexible and adequate interaction.
Prof. Dr. Brigitte Röder , PhD Students Mario Maiworm, Stephanie Badde and Patrick Bruns
The department is working in the field of Developmental Cognitive Neuroscience, a research field that aims at understanding the functional principles and underlying neural mechanisms as well as the plasticity of the neuro-cognitive system by observing how the neuro-cognitive system develops during ontogeny and changes across the life-span. Neuronal plasticity may be investigated by different research strategies like thorough investigations of the adult system, the retrospective developmental approach (e.g., compensatory plasticity of perceptual-cognitive functions in blind or deaf individuals), the prospective approach (correlation between behavioral changes and structural or functional changes of the brain) or investigations of the limits of behavioral and neural plasticity. Our main research fields include multisensory processing - especially between the visual, auditory and haptic modalities - spatial attention and speech processing.
Prof. Dr. Christian Büchel , PhD Students Sebastian Gluth and Sabrina Boll
The
research group at the Department of Systems Neuroscience is dedicated
to investigate the psychological and neurobiological mechanisms
underlying the interplay of emotion, attention and learning
processes. Applying fMRI, EEG and peripherphysiological techniques
our purpose is to contribute to a better understanding of emotional
processing in humans and to reveal the impact emotions have on our
behavior. In this context, special emphasis is also laid upon the
question how emotional stimuli from different modalities are
represented in the neuronal circuits related to emotion. Other topics
concern the representation of values inside the brain and their role
for decision making, aversive learning and pain processing.
Prof. Dr. Andreas K. Engel, PhD Students Jens Kleesiek
The central focus of research at the Dept. of Neurophysiology and Pathophysiology is the dynamics of neuronal populations and, specifically, temporal correlations between different neurons leading to the formation of coherent cell assemblies. Since 1987, our group has investigated these phenomena in sensory and motor systems of carnivores and rodents by means of extracellular recording techniques. Several years ago, we have begun to address similar question in the human brain, applying EEG, MEG and fMRI techniques in normal subjects as well as invasive microelectrode recordings in patients with neurological disorders. By now, the available data suggest that the temporal dynamics of neural activity may be essential to understanding the neural foundations of perceptual, cognitive and motor functions. We therefore investigate neural synchronization and oscillatory response patterning in the context of sensory processing, attention, cross-modal and sensorimotor integration, working memory and conscious awareness.
Cai, Shushan (Prof. Dr.)
Gao, Shangkai (Prof. Dr.), Gao, Xiaorong (Prof. Dr.)
Sun, Maosong (Prof.), Yang, Shiqiang (Prof.),
State Key Laboratory of Intelligence Technology and SystemsDeng, Zhidong (Prof. Dr.), Sun, Fuchun (Prof. Dr.), Zhang, Bo (Prof.)
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