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.

 

Teaching:

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

Publications

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)
https://doi.org/10.3390/s22197293
Hardware inspired neural network for efficient time-resolved biomedical imaging
Zang Zhenya, Xiao Dong, Wang Quan, Jiao Ziao, Li Zinuo, Chen Yu, Li David Day-Uei
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22) Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1883-1886 (2022)
https://doi.org/10.1109/embc48229.2022.9871214
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 (2022)
https://doi.org/10.1109/TIE.2022.3174299
Fast analysis of time‐domain fluorescence lifetime imaging via extreme learning machine
Zang Zhenya, Xiao Dong, Wang Quan, LI Zinuo, Xie Wujun, Chen Yu, Li David Day Uei
Sensors Vol 22 (2022)
https://doi.org/10.3390/s22103758
Spatial resolution improved fluorescence lifetime imaging via deep learning
Xiao Dong, Zang Zhenya, Xie Wujun, Sapermsap Natakorn, Chen Yu, Li David Day Uei
Optics Express Vol 30, pp. 11479-11494 (2022)
https://doi.org/10.1364/OE.451215
Dynamic non-line-of-sight imaging system based on the optimization of point spread functions
Pei Chengquan, Zhang Anke, Deng Yue, Xu Feihu, Wu Jiamin, Li David U-Lei, Qiao Hui, Fang Lu, Dai Qionghai
Optics Express Vol 29, pp. 32349-32364 (2021)
https://doi.org/10.1364/OE.439372

More publications

Projects

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
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
Smart Fourier transform infrared imaging spectroscopy techniques for biomedical applications
Li, David (Principal Investigator)
31-Jan-2022 - 30-Jan-2024
HYDRI - HYDrogen sensoR for Industry
Herrnsdorf, Johannes (Principal Investigator) Li, David (Co-investigator)
01-Jan-2022 - 31-Jan-2025
SPRINT: A SuPer-Resolution time-resolved ImagiNg and specTroscopy facility for rapid biomolecular analysis
Li, David (Principal Investigator) Chamberlain, Luke (Co-investigator) Chen, Yu (Co-investigator) Cunningham, Margaret Rose (Co-investigator) Gould, Gwyn (Co-investigator) Hoskisson, Paul (Co-investigator) McConnell, Gail (Co-investigator) Rattray, Zahra (Co-investigator) Van de Linde, Sebastian (Co-investigator)
01-Jan-2021 - 28-Jan-2023
Time-resolved imaging and spectroscopy systems for life science applications
Li, David (Principal Investigator) Jiao, Ziao (Researcher)
01-Jan-2020 - 31-Jan-2023

More projects

Address

Biomedical Engineering
Wolfson Building

Location Map

View University of Strathclyde in a larger map