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Challenge: Developing non-Markovian theory on time-varying networks to enhance or prevent the spread in networks. Change: Adopting the theory of non-Markovian processes on networks. Impact: Robust networks to reduce the impact of network failures or epidemics; prevent viral epidemics in human...
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Are you interested in working in a dynamic team consisting of academic and industrial partners, and contributing to the ongoing energy transition by doing research with a high level of scientific. The decommissioning of fossil-fuel generation and increasing integration of power-electronics-based...
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The main goal of the research is to quantify the impact of hydrate formation on injectivity of CO2 injection well and to develop chemical-based solutions to either inhibit the formation of hydrates (preventive methods) or to remediate the injectivity once formation of the hydrate led to...
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Investigating and exploiting the secret language of gestures and body movements in conversations. Enabling machines to interpret social behaviour in real life is a major frontier of Modern Artificial Intelligence (AI). The first step in developing socially intelligent systems that can help...
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The ever-increasing effects of climate change and the imposition of environmental regulations to reduce CO2 emissions encourage the use of environmentally friendly materials in engineering structures. Wind turbine blades currently face the challenge of recyclability as they are typically made...
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The Four Quadrant Sailing Ship (4Q2S) project is a TU-Delft disbursed feasibility study investigating promising concepts to propel a ship entirely by wind at any course. Traditional concepts fail at least at sailing in the head quartering sector(s), making these historically proven concepts...
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Join Us in Shaping the Future of Trustworthy Recommender Systems Through Innovative Research and Scholarship! Recommender systems are pivotal in shaping our online experiences, influencing the content we engage with, the products we purchase, and our social interactions. These systems, driven by...
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PhD position in obstacle-resolving simulations of urban flows As the impact of global warming on extreme weather events, including droughts, heat waves, unhealthy pollution levels, as well as storms and extreme precipitation, are presenting themselves already, there is an increasing need to...
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Reinforcement learning has led to major breakthroughs, from beating champions in complex games to enabling autonomous navigation. However, the limited understanding of how reinforcement learning algorithms work restricts their application to problems requiring robust and predictable solutions....
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Ports serve as critical nodes in the global logistics network, acting as key facilitators of international trade and commerce. They play an important role in connecting nations, enabling the smooth flow of imports and exports, and contributing significantly to economic development. Efficient...