Prof. Dr. Martin Butz
Group Leader
My research focus lies in neuro-computational cognitive modeling, machine learning, and cognitive science. I am particularly interested in uncovering and learning conceptual, compositional, causal structures from sensorimotor experiences in humans and with artificial systems. Over the last years, my group also started to model and simulate weather and climate processes and systems.
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Manuela Di Paolo
Administration
I take care of the organization of the Cognitive Modeling Chair. Feel free to contact me with any question regarding this matter!
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Dr. Asya Achimova
Emmy Noether research group leader
I am working on modeling ambiguity resolution as pragmatic inference within the Rational Speech Act framework.
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Christian Gumbsch
Postdoc
I am interested in the autonomous learning of sensorimotor abstractions for hierarchical prediction, planning, and reinforcement learning.
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Matthias Karlbauer
Postdoc
I am enthusiastic about applying machine learning techniques, in particular recurrent neural networks, to climate- and sustainability related topics, such as weather forecasting.
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Turan Orujlu
PhD
I'm interested in intuitive physics for artificial intelligence systems.

Manuel Traub
PhD
I am interested in self-learned and explainable object recognition, object tracking, and object interactions.

Melvin Ciurletti
PhD
I am researching Graph Neural Networks to model complex temporal dynamics like the mechanical responses of meta-materials.

Fedor Scholz
PhD
I am interested in active inference and how our brain deals with latent object properties such as affordances. Additionally, I am working on modeling spatio-temporal processes, such as river discharge, using artificial neural networks.
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Johanna Theuer
PhD
My research interests lie in neural networks, Bayesian modeling, Event-Predictive Cognition and Active Inference.

Max Mittenbühler
PhD
I am investigating how the human cognitive system allocates mental resources to competing information processes (e.g., processing stimulus color and position in a Simon task). To address this question, I aim to develop computational models that can mimic this process and predict empirical data.

Jan Prosi
PhD
I am enthusiastic about deep learning and vision methods which I implement to short-term precipitation forecasting problems. In particular, I focus on learning objectives for forecasting applications. Additionally, I explore complex living systems and evolutionary dynamics from a holistic perspective with machine learning methods.

Ghada Hassan
PhD
I am passionate about Human-Computer Interaction (HCI), with a particular interest in exploring how technology can enhance human well-being in the education sector.

Mudar Adas
PhD
I am interested in studying how intelligent agents, both consciously and unconsciously, protect themselves in daily interactions, and in developing cognitive models to predict these interactions more effectively.

Danil Koryakin
PhD
The area of my research interest is the modular networks on the basis of the recurrent and feed-forward artificial neural networks. The current studies deal with online learning of the compact modular networks and their application for generation and identification of the continuous dynamics as well as for classification of the discontinuous sequence data.
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