Dr David Li

Senior Lecturer

Biomedical Engineering

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 the 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.

From 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.



BE905: Biosignal Processing and Analysis (Spring 2022)



Available Studentships for 2022:

3-year PhD studentships in time-resolved spectroscopy/imaging and machine-learning techniques for biomedical applications are expected to start on 1st October 2022.

Candidates interested in these projects could send CVs and transcripts to him for further discussions.


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


Low hardware consumption, resolution-configurable gray code oscillator time-to- digital converters implemented in 16nm, 20nm and 28nm FPGAs
Wang Yu, Xie Wujun, Chen Haochang, Li David Day-Uei
IEEE Transactions on Industrial Electronics Vol 70, pp. 4256-4266 (2023)
Compact and robust deep learning architecture for fluorescence lifetime imaging and FPGA implementation
Zang Zhenya, Xiao Dong, Wang Quan, Jiao Ziao, Chen Yu, Li David Day Uei
Methods and Applications in Fluorescence Vol 11 (2023)
PAIM (πM) : portable AI-enhanced fluorescence microscope for real-time target detection
Jiao Ziao, Zang Zhenya, Wang Quan, Chen Yu, Xiao Dong, Li David Day Uei
Optics and Laser Technology Vol 163 (2023)
High-resolution time-to-digital converters (TDCs) with a bidirectional encoder
Wang Yu, XIE Wujun, Chen Haochang, Li David Day-Uei
Measurement: Journal of the International Measurement Confederation Vol 206 (2023)
Non-fitting FLIM-FRET facilitates analysis of protein interactions in live Zebrafish embryos
Auer Julia M T, Murphy Laura C, Xiao Dong, Li David D U, Wheeler Ann P
Journal of Microscopy (2022)
Simple and robust deep learning approach for fast fluorescence lifetime imaging
Wang Quan, Li Yahui, Xiao Dong, Zang Zhenya, Jiao Zi'ao, Chen Yu, Li David Day Uei
Sensors Vol 22 (2022)

More publications


How does EFR3 control insulin-stimulated plasma membrane dispersal of GLUT4?
Gould, Gwyn (Principal Investigator) Li, David (Co-investigator) McConnell, Gail (Co-investigator) Van de Linde, Sebastian (Co-investigator)
01-Jan-2023 - 30-Jan-2026
Smart low-cost diffuse correlation spectroscopy for monitoring brain blood flow (Quantic)
Li, David (Principal Investigator)
21-Jan-2022 - 20-Jan-2024
Advanced spectroscopy techniques for biosensing
Li, David (Principal Investigator) Pan, Mingliang (Researcher)
01-Jan-2022 - 31-Jan-2025
EPSRC REA - Microfluidic-based technologies for blood cell imaging for medical diagnosis
Jimenez, Melanie (Principal Investigator) Li, David (Co-investigator)
01-Jan-2022 - 31-Jan-2026
DTP 2224 University of Strathclyde | Hall, Nicole
Jimenez, Melanie (Principal Investigator) Li, David (Co-investigator) Hall, Nicole (Research Co-investigator)
01-Jan-2022 - 01-Jan-2026
Smart Fourier transform infrared imaging spectroscopy techniques for biomedical applications
Li, David (Principal Investigator)
31-Jan-2022 - 30-Jan-2024

More projects