Projects per year
Personal profile
Personal Statement
David Li is a senior lecturer in optoelectronics at the Department of Biomedical Engineering. He received his PhD in electrical engineering from the National Taiwan University. He then joined the Industrial Technology Research Institute (ITRI), Taiwan, as an R&D engineer working on 1.25-12.5Gbps optical communication chipsets and wireless communication IP, knowledge transfer, and international joint projects (with Carnegie Mellon University, Pittsburgh, USA).
From 2007 to 2011, he worked at the Institute for Integrated Micro and Nano Systems, University of Edinburgh, on the European projects "MEGAFRAME" and "METOXIA" for CMOS single-photon avalanche diode (SPAD) based fluorescence lifetime imaging microscopy (FLIM) cameras and analogue front-end circuits. He has invented several hardware-embedded imaging processors, which resulted in the first video-rate FLIM imaging on CMOS SPAD arrays.
In January 2014, he joined the Centre for Biophotonics, SIPBS, after his first lecturing position in biomedical engineering and embedded systems at the School of Engineering and Informatics, University of Sussex (where he led a research team working on industry-funded projects).
His current research interests include CMOS imaging and sensor systems, embedded systems, digital signal processing, mixed-signal integrated circuits, fluorescence-based sensing systems, and artificial intelligence. He has been working with researchers within the UK and overseas, such as the Netherlands, Switzerland, Belgium, Germany, France, China, the USA, and Taiwan.
Please also check https://scholar.google.co.uk/citations?hl=en&user=UFE7FyIAAAAJ.
David would be delighted to collaborate with colleagues or hear from potential PhD candidates interested in exploring any aspect of imaging/sensing and embedded systems research.
Teaching:
BE905: Biosignal Processing and Analysis (Spring 2023)
BE908: Biomedical Instrumentation (Autumn 2023)
Available Studentships for 2023:
3-year PhD studentships in time-resolved spectroscopy/imaging and machine-learning techniques for biomedical applications are expected to start on 1st October 2023.
Candidates interested in these projects could send CVs and transcripts to him for further discussion.
Other funding opportunities for post-graduate students, postdoc researchers and visiting scholars:
China Scholarship Council: http://en.csc.edu.cn/ (for students in China)
Commonwealth Scholarships: http://cscuk.dfid.gov.uk
EU Marie Sklodowska-Curie Fellowships: http://ec.europa.eu/research/mariecurieactions/
Newton Fellowships: http://www.newtonfellowships.org
Royal Society Newton Mobility Grant: https://royalsociety.org/grants-schemes-awards/grants/newton-mobility-grants/
Royal Academy of Engineering Newton Mobility Grant: http://www.raeng.org.uk/grants-and-prizes/international-research-and-collaborations/newton-fund-programmes/newton-research-collaboration-programme
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):
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Collaborations and top research areas from the last five years
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How does EFR3 control insulin-stimulated plasma membrane dispersal of GLUT4?
Gould, G., Li, D., McConnell, G. & Van de Linde, S.
BBSRC (Biotech & Biological Sciences Research Council)
15/05/23 → 14/05/26
Project: Research
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PAIM (πM): portable AI-enhanced fluorescence microscope for real-time target detection
Jiao, Z., Zang, Z., Wang, Q., Chen, Y., Xiao, D. & Li, D. D. U., 31 Aug 2023, In: Optics and Laser Technology. 163, 12 p., 109356.Research output: Contribution to journal › Article › peer-review
Open AccessFile21 Downloads (Pure) -
Non-fitting FLIM-FRET facilitates analysis of protein interactions in live Zebrafish embryos
Auer, J. M. T., Murphy, L. C., Xiao, D., Li, D. U. & Wheeler, A. P., 31 Jul 2023, In: Journal of Microscopy. 291, 1, p. 43-56 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)3 Downloads (Pure)
Datasets
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Data for: "Investigations on average fluorescence lifetimes for visualizing multi-exponential decays"
Li, Y. (Creator), Sapermsap, N. (Contributor), Safar, M. (Contributor), Cunningham, M. R. (Contributor), Chen, Y. (Contributor) & Li, D. (Creator), University of Strathclyde, 3 Dec 2020
DOI: 10.15129/062e9e11-9d7f-49e5-a332-2b10d695bdcd
Dataset