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".

Time flows like a river, ceaselessly day and night.


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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