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such as vehicle cabins present a lot of clutter and multipath masking the signature of the person or people to observe; and 2) the human body is a rather complicated object to observe with radar, as we want
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adapt to the patient. You will thus pave the way to next-generation small- to large-scale neuromorphic architectures inspired by the human neocortex, targeting low-footprint adaptive devices such as
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The research programme DeepNL aims to improve the fundamental understanding of the dynamics of the deep subsurface under the influence of human interventions and the resulting effects
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Challenge: Human Behavior Recognition and Generation with Large Contextural Behavior Model Change: Incorporate context for human behavior recogintion and generation Impact: Advanced techniques
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technologies. While these data technologies primarily focus on the human body, the evolution of healthcare environments must also be rooted in innovative architectural design. For instance, integrating advanced
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Challenge: Climate shocks hit poor households hardest. Change: Improved quantification of climate shocks to household welfare. Impact: Develop pro-poor strategies to improve human security
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History, Urban History, Digital Humanities; Awareness of and interest in historic developments and wish to connect this analysis to future design; Previous experience in data-driven projects, as well as in
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systems’ technologies. On the requirements side, rapid adaptability to ever changing scenarios, optimal capabilities deployment and resilience along with high-level situational awareness and minimum human
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that might (or not) act as a coordinated swarm, which is a very timely problem for safety of public spaces and national assets such as airports or stadiums, not just in conflict scenarios but also for every
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How can autonomous robots prove that their plans are always safe? Ensuring safe planning and control is paramount when we deploy autonomous robots in complex environments around humans, such as in