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Realities • Research Theme D: Adaptive and Distributed AI for Intelligent Realities • Research Theme E: Networking for Intelligent Realities This PhD research focuses on developing adaptive and distributed AI
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, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply this methodology and toolkit in user studies to investigate how people
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Materials Experience thinking with biosensing, together with a toolkit, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply
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while collaborating with leading experimental and theoretical researchers at TU Delft and an international network of collaborators. During your PhD, you will publish your work in leading scientific
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following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
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following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
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description Railway bridges and the tracks they support are critical components of the railway network, directly affecting safety, reliability, and operational performance. As railway infrastructure ages and
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-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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Build the next generation of railway track health assessment. Job description Railway bridges and the tracks they support are critical components of the railway network, directly affecting safety
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grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations