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Personal profile

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Time flows like a river, ceaselessly day and night. 

Research profile

Wenjin Wang is an assistant professor of Eindhoven University of Technology, closely work with the Electronic Systems group and Signal Processing Systems group of Department of Electrical Engineering. His main affiliation is with Philips Research where he works as a scientist. His areas of expertise include biomedical optics, signal/image processing, computer vision, and machine learning. His current research focus is camera-based health monitoring (e.g. vital signs and human activity measurement). His earlier PhD work on this topic led to various peer-reviewed journals/conference publications, patent applications, and systems/prototypes that will end in customized applications. He serves as a reviewer for several well-known journals and conferences. Meanwhile, he is active in academia like organizing workshops/sessions/tutorials at the top IEEE conference (e.g. CVPR/ICCV/EMBC) and organizing special issue on the IEEE journal (e.g. JBHI). He was also invited by the Elsevier publisher to edit/write a book on "contactless vital signs monitoring".

Academic background

Wenjin Wang received his BSc in Biomedical Engineering (in the top-class program) from Northeastern University (China) in 2011; his MSc in Artificial Intelligence from University of Amsterdam (The Netherlands) in 2013, with the full scholarship; and his PhD in Electrical Engineering from Eindhoven University of Technology (TU/e, The Netherlands) in 2017, with the PhD thesis "Robust and Automatic Remote Photoplethysmography". His earlier PhD work in camera-based vital signs monitoring led to 11 journal publications (8 times the first author), 4 conference papers (2 times the first author), and 8 patent applications (with Philips Research). After PhD, he joined Philips Research as a scientist, working on contactless monitoring technologies. He is also an assistant professor at TU/e. 

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Research Output

  • 473 Citations
  • 14 Article
  • 7 Conference contribution
  • 6 Patent publication
  • 1 Phd Thesis 1 (Research TU/e / Graduation TU/e)

Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs

Sun, Y., Kommers, D., Tan, T., Wang, W., Long, X., Shan, C., van Pul, C., Aarts, R. M., Andriessen, P. & de With, P. H. N., 2020, SPIE Medical Imaging. SPIE, Vol. 11314. 8 p. 11314

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • Discriminative signatures for remote-PPG

    Wang, W., den Brinker, A. C. & de Haan, G., May 2020, In : IEEE Transactions on Biomedical Engineering. 67, 5, p. 1462-1473 12 p., 8821386.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 1 Citation (Scopus)

    Automatic and continuous discomfort detection for premature infants in a NICU using video-based motion analysis

    Sun, Y., Kommers, D., Wang, W., Joshi, R., Shan, C., Tan, T., Aarts, R. M., Pul, C. V., Andriessen, P. & With, P. H. N. D., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 5995-5999 5 p. 8857597

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • 2 Citations (Scopus)

    Respiration monitoring for premature neonates in NICU

    Sun, Y., Wang, W., Long, X., Meftah, M., Tan, T., Shan, C., Aarts, R. M. & de With, P. H. N., 2 Dec 2019, In : Applied Sciences. 9, 23, 11 p., 5246.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 16 Downloads (Pure)

    Single element remote-PPG

    Wang, W., den Brinker, A. C. & de Haan, G., 1 Jul 2019, In : IEEE Transactions on Biomedical Engineering. 66, 7, p. 2032-2043 12 p., 8540913.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 5 Citations (Scopus)
    3 Downloads (Pure)

    Press / Media

    Organizing the Second International Workshop of Computer Vision for Physiological Measurement on ICCV 2019

    Wenjin Wang, Daniel McDuff & S. Stuijk

    28/10/19

    1 Media contribution

    Press/Media: Public Engagement Activities

    Organizing the special issue of "Camera-Based Monitoring for Pervasive Healthcare Informatics" on IEEE-JBHI (Impact factor: 4.217)

    Wenjin Wang, Steffen Leonhardt, Lionel Tarassenko, Caifeng Shan & Daniel McDuff

    25/10/19

    1 Media contribution

    Press/Media: Public Engagement Activities

    Organizing an invited session of optical health monitoring on EMBC 2019

    Wenjin Wang, Hubin Zhao & S. Stuijk

    26/07/19

    1 Media contribution

    Press/Media: Public Engagement Activities

    Organizing the First International Workshop of Computer Vision for Physiological Measurement on CVPR 2018

    Wenjin Wang, Daniel McDuff & S. Stuijk

    22/06/18

    1 Media contribution

    Press/Media: Public Engagement Activities

    Student theses

    Non-contact respiration monitoring based on matrix factorization with automatic RoI detection

    Author: Janssen, R., 31 Jul 2015

    Supervisor: de Haan, G. (Supervisor 1), Wang, W. (Supervisor 2) & Kirenko, I. (External person) (External coach)

    Student thesis: Master