• P.O.Box 513, Department of Electrical Engineering

    5600 MB Eindhoven


  • 2148
    Citations - based on content available in repository [source: Scopus]

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Personal profile


“I always believe opening my eyes to see different worlds will encourage me to think about things that better our life.”

Research profile

Xi Long is an Associate Professor in the Biomedical Diagnostics (BM/d) lab, Signal Processing Systems (SPS) group, where he advises, coordinates and participates in many collaborative projects (with, for example, Philips, Máxima Medical Center, Kempenhaeghe, UMC Utrecht, KU Leuven and Fudan University) combining technology and healthcare.

Long’s expertise is in signal processing, time series analysis, machine learning, deep learning and mathematical modeling. His research interests include engineering for biomedical applications such as unobtrusive sensing, vital signs monitoring, sleep, neonatology & pregnancy, epilepsy & brain activity, and clinical decision support.

Academic background

Xi Long holds a BEng with honor in electronic information engineering from Zhejiang University in China and obtained his MSc in electrical engineering from the Eindhoven University of Technology (TU/e) in 2009. He worked at Tencent China as a project manager and UX researcher from 2009 to 2011. He went on to do his PhD at TU/e and Philips Research, on signal processing and machine learning in unobtrusive sleep monitoring, which he completed cum laude in 2015. He then joined Philips Research in 2016 and worked as a senior scientist and AI/Data lead, where he has been also a part-time assistant professor at the TU/e.

Long is an senior member of IEEE, an associate editor of Nature npj Digital Medicine, Frontiers in Digital Health, and an editorial board member Health Informatics Journal. He has published over 150 scientific articles and reports, generated more than 15 patents and supervised more than 40 PhD/MSc students. He is a peer reviewer for many leading international journals and conferences in his research areas.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Doctor, PhD, Electrical Engineering (Signal Processing Systems), Eindhoven University of Technology


Award Date: 30 Jun 2015

Master, MSc, Electrical Engineering, Eindhoven University of Technology


Award Date: 25 Aug 2009

Bachelor, BEng, Electronics Information Engineering, Zhejiang University


Award Date: 30 Jun 2006


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