The University of Technology Nuremberg (UTN) has appointed three new professors who joined the Department of Computer Science and Artificial Intelligence (CSAI) this autumn. With these high-caliber new additions, the university is sharpening its research profile in the field of machine learning while also opening up a new area of research in robotics.
Prof. Dr. Simone Kager is professor of Assistive and Rehabilitation Robotics and is transferring from ETH Zurich’s Singapore campus to UTN. Her research group is focusing on how humans and robots can work together to restore motor and sensory abilities in people with neurological impairments. People are at the heart of her work.
Prof. Claire Vernade’s research group Foundations of Machine Learning focuses on understanding the principles that should guide the design of machine learning algorithms. An important focus is on reinforcement learning and dynamical systems, which are at the heart of modern machine learning applications. Prof. Vernade began her academic career in Tübingen as part of the prestigious Emmy Noether Program and is now continuing it in Nuremberg with an ERC Starting Grant. Prior to her academic work, she spent four years at Google DeepMind.
A special type of deep learning is the focus of the work of Prof. Dr. Vincent Fortuin and his Probabilistic Machine Learning research group. Insights from Bayesian statistics are used to improve decisions made by deep learning models, even with limited training data sets, for example in scientific applications. Prof. Fortuin’s scientific career took him from ETH Zurich to the University of Cambridge, the Technical University of Munich, and now to Nuremberg.
The University of Technology Nuremberg (UTN) has appointed three new professors who joined the Department of Computer Science and Artificial Intelligence (CSAI) this autumn. With these high-caliber new additions, the university is sharpening its research profile in the field of machine learning while also opening up a new area of research in robotics.
Prof. Dr. Simone Kager is professor of Assistive and Rehabilitation Robotics and is transferring from ETH Zurich’s Singapore campus to UTN. Her research group is focusing on how humans and robots can work together to restore motor and sensory abilities in people with neurological impairments. People are at the heart of her work.
Prof. Claire Vernade’s research group Foundations of Machine Learning focuses on understanding the principles that should guide the design of machine learning algorithms. An important focus is on reinforcement learning and dynamical systems, which are at the heart of modern machine learning applications. Prof. Vernade began her academic career in Tübingen as part of the prestigious Emmy Noether Program and is now continuing it in Nuremberg with an ERC Starting Grant. Prior to her academic work, she spent four years at Google DeepMind.
A special type of deep learning is the focus of the work of Prof. Dr. Vincent Fortuin and his Probabilistic Machine Learning research group. Insights from Bayesian statistics are used to improve decisions made by deep learning models, even with limited training data sets, for example in scientific applications. Prof. Fortuin’s scientific career took him from ETH Zurich to the University of Cambridge, the Technical University of Munich, and now to Nuremberg.