The overall objective of e-VITA is to improve well-being in older adults in Europe and Japan and thereby promote active and healthy ageing, contribute to independent living, and reduce risks of social exclusion of older adults. The multidisciplinary consortium collaborating in this project will develop an innovative ICT-based virtual coaching system to detect subtle changes in physical, cognitive, psychological and [...]
Invasive mechanical ventilation is one of the most important and life-saving therapies in the intensive care unit (ICU). In most severe cases, when mechanical ventilation alone is insufficient, extracorporeal lung support is initiated. However, mechanical ventilation is recognised as potentially harmful, because inappropriate mechanical ventilation settings in intensive care unit patients are associated with [...]
Artificial Intelligence (AI) is already part of our lives and is extensively entering the space sector to offer value-added Earth Observation (EO) products and services. Copernicus data and other georeferenced data sources are often highly heterogeneous, distributed and semantically fragmented. Large volumes of satellite data (images and associated metadata) are frequently coming to the Earth [...]
Intensive care patients with acute respiratory failure usually need support of lung function, which is accomplished with mechanical ventilation and, in most severe cases, extracorporeal gas exchange. Although mechanical ventilation is a life-saving therapy, it has the potential to worsen lung injury and impair the hemodynamics. Currently, there are different strategies to protect the lungs from [...]
Student assistant Nature-Inspired Machine Learning (NIMI) Abrar Hyder is a student assistant in the E-vita project and works on building dialogue systems for elderly people. He is heavily involved in data preparation, and system maintenance. [...]
Student Assistant Nature-Inspired Machine Learning (NIMI) Qasid Saleem has been working on several projects, and has a broad range of skills, from reinforcement learning, to knowledge graphs and language models. Qasid finished his master thesis also in the NIMI group on link [...]
Student Assistant Nature-Inspired Machine Learning (NIMI) Prathmesh Dudhe is a master student of TU Dresden and working on the IntelliLung project. He is working on data preparation and exploration of reinforcement learning-based algorithms for supporting improvement of clinician decisions in intensive care [...]
Research Associate Nature-Inspired Machine Learning (NIMI) Jason Li is a PhD student who is working on Reinforcement Learning. He received his M.Sc. Computer Science from University College London and is currently actively working in the EU funded research project IntelliLung which aims to [...]
Research Associate Nature-Inspired Machine Learning (NIMI) Nature, and all that it encompasses, has influenced computer science, in particular Artificial Intelligence, from its inception. Many effective tools, mechanisms, processes, algorithms, methods, and systems have been proposed inspired by nature. For example, Neural Networks are roughly inspired [...]
Research Associate Nature-Inspired Machine Learning (NIMI) Bowen is a PhD student, and holds a CSC grant that supports his exploration into the world of Representation Learning. Focused on temporal knowledge graph embedding models, Bowen's research deals with the dynamic interplay of data [...]
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