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Xi Long is an Associate Professor in the Biomedical Diagnostics (BM/D) lab at Eindhoven University of Technology (TU/e) and a member of the Signal Processing Systems (SPS) group. He is deeply involved in advising, coordinating, and participating in diverse collaborative projects with both industry and academic partners, combining technology with healthcare to transform innovations into practical and impactful solutions that seamlessly integrate into everyday life. His expertise spans signal processing, time series analysis, and trustworthy machine learning. His research drives innovation across a wide range of applications, including intelligent health monitoring, unobtrusive vital signs sensing, sleep studies, neonatal and maternal health, cardiology, epilepsy brain activity monitoring, and clinical decision support systems. Long’s contributions reflect his commitment to improving healthcare outcomes through the application of cutting-edge technology, and he strives to create transformative technologies that enhance people's health and well-being. He holds a BEng with honors in Electronic Information Engineering from Zhejiang University in China, and an MSc in Electrical Engineering from Eindhoven University of Technology, which he completed in 2009. Long also obtained his PhD from TU/e in 2015, specializing in signal processing and machine learning for unobtrusive sleep monitoring, completing his degree cum laude. He has worked at Tencent in China as a project manager and user researcher from 2009 to 2011, and joined Philips Research in 2016 as a senior scientist focusing on AI/Data, while also holding a part-time assistant professor position at TU/e. He is a senior member of IEEE and serves as an associate editor for journals such as Nature npj Digital Medicine and the Health Informatics Journal. Over the years, he has published over 150 scientific articles and reports and generated 20 patents, having supervised more than 50 PhD and MSc students.
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