Cyber Valley Research Groups


10 new research groups were established

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Physics for Inference and Optimization

Caterina De Bacco
(Max Planck Institute for Intelligent Systems)

Research focus: understanding, optimizing and predicting relations between the microscopic and macroscopic properties of complex large-scale interacting systems. I like to approach research by addressing application-oriented problems involving domain experts from different disciplines via developing models and algorithms derived from statistical physics principles.

Cyber Valley Research Fund Projects

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Locomotion in Somatic & Biorobotic Systems

Ardian Jusufi
(Max Planck Institute for Intelligent Systems)

Research focus: neuromechanics of locomotion, biorobotics, experimental validation with physical models, soft robotics, integrative systems biomechanics, systems biophysics, and biomaterials.

Cyber Valley Research Fund Projects

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Rationality Enhancement

Falk Lieder
(Max Planck Institute for Intelligent Systems)

Research focus: revolutionizing self-improvement and personal development, psychotherapy and psychiatry, brain training, and education by establishing a new science of improving the human mind and developing innovative approaches and technologies for empowering people to become more effective. Research thus focuses on understanding, promoting, and supporting cognitive growth, goal setting, and goal achievement.

Cyber Valley Research Fund Projects

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Privacy-Preserving Machine Learning

Mijung Park
(University of Tübingen)

Research focus: Developing algorithms to protect privacy when large data sets come to statistical conclusions on their own. Her goal is to solve challenging statistical problems in the field of machine learning and data protection.

 

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Biomedical Microsystems

Tian Qiu
(University of Stuttgart)

Research focus: Developing new devices and microsystems for biomedical applications. The aim is to integrate actuation, recording, and calculation to advance medical procedures. Qiu is interested in developing tools that collect large amounts of data and learn from the data to understand the underlying principles. One research focus is to create realistic surgical robot testing and simulation environment based on rapid prototyping and augmented reality.

The Biomedical Systems research group receives funding from the Vector Foundation.

Cyber Valley Research Fund Projects

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Computational Epigenomics

Gabriele Schweikert
(University of Tübingen)

Research focus: Using machine learning methods to better understand important molecular processes in living cells, with a particular interest in epigenetic processes – e.g. what makes a liver cell or what blood cell what it if all cells in the body have the same genetic code? By working on the development of machine learning techniques for computer-aided gene identification, Schweikert wants to further advance the field of computational epigenomics, which shows great promise for medical applications.

The Computational Epigenomics research group receives funding from the Gips-Schüle Foundation.

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Neuronal Intelligence

Fabian Sinz
(University of Tübingen)

Research focus: developing intelligent systems that are as versatile as mammalian brains in terms of learning and performance. To this end, his group uses large amounts of neurophysiological and anatomical data to better understand the basics of neuronal intelligence and to reduce the gap between AI research and neuroscience. 

The Neuronal Intelligence research group receives funding from the Carl Zeiss Foundation.

Cyber Valley Research Fund Projects

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Embodied Vision

Jörg Stückler
(Max Planck Institute for Intelligent Systems)

Research focus: Developing autonomous intelligent systems that can learn and improve their perception and action skills through interaction with the environment. One main focus is learning-based approaches to image and sensor data analysis. Stückler develops methods with which robots can actively gain an understanding of their dynamic environment from sensor data and use it for complex tasks such as object handling or autonomous navigation. In addition to image data, he also uses other sensors such as tactile sensors for the artificial sense of touch when grasping or inertial sensors comparable to the human sense of balance.

Cyber Valley Research Fund Projects

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Intelligent Control Systems

Sebastian Trimpe
(RWTH Aachen University)

Research focus: decision making, control, and learning for autonomous intelligent systems. Developing fundamental methods and algorithms that enable robots and other intelligent systems to interact with their environment through feedback, learn autonomously from data, and interconnect with each other to form collaborative networks. Turning mathematical and theoretical insight into enhanced autonomy and performance of real-world physical systems is an important and driving facet of the Intelligent Control Systems group’s work.

Cyber Valley Research Fund Projects