Research Groups

Head: Jacob Engelmann

With the long-term goal of understanding neural mechanisms in adaptive sensory processing, research in the Active Sensing Group focuses on the active electric sensory system of weakly electric fish.

Head: Johanna Kißler

We study emotional processing in humans and the underlying neural mechanisms, especially the communicative aspects of emotions.

Head: Thomas Hermann

We develop intelligent environments, smart interaction objects and attentive systems with focus on multimodal interaction and sonification for assistive applications that help humans in everyday life.

Head: Friederike Eyssel

We research social psychological aspects of human-machine-interaction and explore determinants and consequences of gendered perceptions and prejudice.

Head: Volker Dürr

We work on the sensory control of locomotion and active sensing. In our research, we combine methods from neurobiology, behavioural physiology, neuroinfomatics and biorobotics.

Head: Martina Hielscher-Fastabend

We focus on diagnostic methods and therapy for language and speech disorders of neurological origin (aphasia, dysarthria), language acquisition problems as well as voice and communication handicaps in demanding contexts.

Head: Christoph Kayser

We investigate the physiological and computational mechanism underlying sensory decision making in the human brain. We particularly focus on multisensory integration and hearing.

Head: Sebastian Wrede

We conduct research on methods, architecture and toolchains for efficient software engineering and integration of interactive intelligent systems with applications in robotics and automation.

Head: Ulrich Rückert

Our main research objective is the systematic design of resource-efficient microelectronic components for cognitive technical systems.

Head: Sina Zarrieß

Generally, we work on natural language processing and on learning models for language generation & understanding from data. We would like to develop machines that use language as flexibly and smoothly as humans do. This is why we are particularly interested in computational modeling of language use, visual language grounding, reference, pragmatics and dialogue.
 

Head: Hendrik Buschmeier

We are investigating computational modelling of the representations, processes, and behaviours underlying the human capability for interacting in dialogue. In particular, I am interested in the issue of how a joint understanding can be achieved among autonomous conversational agents (human or artificial).

Head: Kirsten Berthold

The group primarily conducts research in the field of instructional psychology. The focus is on developing computer-based training and learning environments, which are examined for effectiveness and efficiency in laboratory and field experiments.

Head: Sabrina Backs

The research focuses on start-ups, new business models, knowledge transfer and the influence of inequalities, which are examined in the context of Industry 4.0.

Head: Oliver Bott

The experimental semantics and pragmatics group in Bielefeld focuses on the semantic and pragmatic interpretation of complex meaning by applying methods from psycholinguistics. We investigate the incremental construction of meaning from the sentence to the discourse level.

Head: Benjamin Paaßen

We develop methods to support machine learning with human prior knowledge and, conversely, extract human knowledge from machine learning models.

Head: Barbara Hammer

The research of the Machine Learning group (HammerLab) centers around key enabling technologies for machine learning, its theoretical foundations and applications in diverse areas such as biomedical data analysis, industry 4.0 and resilience of critical infrastructure.

Head: Britta Wrede

Based on a deep understanding of social interaction and human cognition, we develop effective intelligent assistance systems ranging from robots to smart home devices and apps provide support for people in physical and cognitive tasks.

Head: Hanna Drimalla

Our research group is dedicated to the automatic analysis of social interaction signals (e.g., facial expression, gaze behavior, voice etc.) using machine learning as well as speech and image processing. Three aspects are the focus of our research: the detection of positive and negative affect, the measurement of stress, and the analysis of social interaction patterns.

Head: Yaochu Jin

The Nature Inspired Computing and Engineering (NICE) group is dedicated to an evolutionary developmental approach to artificial intelligence and the design of secure and privacy-preserving optimization and learning algorithms for solving complex real-world problems. 

Head: Thomas Schack

The "Neurocognition and Action" group investigates movements of biological organisms, humans, and technical systems in natural and artificial environments. Our main research interest is human movement and its adaptivity. For that purpose, the biological basics, the neurocognitive organization, and the kinematic parameters of human motor architecture are analyzed using modern research methods.

Head: Werner Schneider

We investigate attentional processes in visual perception, memory and action control by means of psychophysics, cognitive and neuro-psychology methods as well as bycomputational modeling.

Head: Helge Ritter

We strive for a deeper understanding of the required interplay of adaptive control, embodiment and knowledge to enable cognitive interaction for robots or intelligent interfaces.

Head: Petra Wagner

We investigate and model the shapes and functions of communicative speech signals both in the verbal and non verbal domain, across various situations, languages, emotions or speakers.

Head: Joana Cholin

Our research focuses on fluent and non-fluent aspects of spoken language in mono- and bilingual speech-healthy and neurologically impaired speakers.

Head: Philipp Cimiano

We develop computational approaches for the emergence and extraction of semantics in intelligent systems. This includes the extraction of knowledge and meaning from large data as well as easying access to knowledge in an intuitive fashion.

Head: Stefan Kopp

We explore how technical systems can turn into socially intelligent interaction partners. To this end, we study the behavioral, sensori­motor and cognitive mechanisms of human communication and develop methods to attain similar abilities in machines.

Head: Martin Diewald

The group's research interest lies in the analysis of social structures with the aim of examining organisational inequalities and interactions between work and private life and developing guidelines for good work.

Head: Anja Abendroth

At the center of this group's research are questions about the future of work, the interplay between work and family life and social inequalities in times of digital transformation.

Head: Günter Maier

We investigate the future of work with its consequences for humans. Our focus includes acceptance of technology, participation in innovation, or corporate social responsibility.