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generative models, geometric machine learning, dynamical systems, and/or multi-modal learning. From the materials science perspective, our primary focus will be on ultra-thin, so-called, 2-dimensional
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models all the way to the materials discovery lab. From the machine learning perspective, your research will be in the area of generative models, geometric machine learning, dynamical systems, and/or multi
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covers artificial intelligence, human-computer interaction, software and computer systems, and data science. The department is a dynamic and growing environment for research and education with around 300
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In this WASP financed project, the research will focus on the study of multiagent automatic control methods for closed loop (CL) control of dynamical systems that adhere to safety constraints while
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embodied AI agents can dynamically adapt to group behaviors and learning needs The project will combine observational studies, interaction design, and experimental evaluations to develop embodied AI-driven
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of the next generation of adaptive software for effective and secure execution in dynamic, heterogeneous, distributed edge-cloud-systems. A further component is the further development of the C++ based open