Dr David Li

Senior Lecturer

Strathclyde Institute of Pharmacy and Biomedical Sciences

Personal statement

David Li is a senior lecturer in photonics/electronics. He received his PhD in electrical engineering from the National Taiwan University. He then joined the Industrial Technology Research Institute (ITRI), Taiwan, as a 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 and GPU computing, digital signal processing, mixed-signal integrated circuits, fluorescence based sensing systems, electrical impedance sensing systems, forward models of electrical impedance tomography, finite-element/finite-difference and numerical modelling. He has been working with researchers within the UK and from oversea such as Netherlands, Switzerland, Belgium, Germany, France, China, 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.


Available Studentships:

David has secured four 3-year PhD studentships in time-resolved spectroscopy/imaging and high-precision time-resolved measurements, and we would expect to start the projects from 1st November 2020

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 Scholaraships: 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


Deep convolution network based emotion analysis towards mental health care
Fei Zixiang, Yang Erfu, Li David Day Uei, Butler Stephen, Ijomah Winifred, Li Xia, Zhou Huiyu
Neurocomputing Vol 388, pp. 212-227 (2020)
A rapid analysis platform for investigating the cellular locations of bacteria using two-photon fluorescence lifetime imaging microscopy
Sapermsap Natakorn, Li David Day-Uei, Al-Hemedawi Ryath, Li Yahui, Yu Jun, Birch David, Chen Yu
Methods and Applications in Fluorescence Vol 8 (2020)
Multispectral time-of-flight imaging using light-emitting diodes
Griffiths Alexander D, Chen Haochang, Li David Day-Uei, Henderson Robert K, Herrnsdorf Johannes, Dawson Martin D, Strain Michael J
Optics Express Vol 27, pp. 35485-35498 (2019)
Combining deep neural network with traditional classifier to recognize facial expressions
Fei Zixiang, Yang Erfu, Li David, Butler Stephen, Ijomah Winifred, Zhou Huiyu
2019 25th IEEE International Conference on Automation and Computing 25th IEEE International Conference on Automation and Computing, ICAC 2019 (2019)
CMOS sensors for fluorescence lifetime imaging
Henderson Robert K, Rae Bruce R, Li Day-Uei
High Performance Silicon Imaging , pp. 377-412 (2019)
A survey on computer vision techniques for detecting facial features towards the early diagnosis of mild cognitive impairment in the elderly
Fei Zixiang, Yang Erfu, Li David Day-Uei, Butler Stephen, Ijomah Winifred, Zhou Huiyu
Systems Science and Control Engineering Vol 7, pp. 252–263 (2019)

More publications


Stand-off, SPAD-enhanced Ultra-Violet Raman Spectroscopy
Kelly, Ellis (Researcher) Stothard, David (Principal Investigator) Li, David (Principal Investigator)
01-Jan-2019 - 30-Jan-2023
Smart flow cytometry for cancer diagnosis using silicon single-photon sensors and nanoprobes
Li, David (Principal Investigator) Chen, Yu (Research Co-investigator) Xiao, Dong (Researcher)
01-Jan-2018 - 30-Jan-2022
High-precision timing circuits for time-resolved measurements
Li, David (Principal Investigator) XIE, Wujun (Post Grad Student)
01-Jan-2018 - 30-Jan-2021
Smart processors for rapid 3D ranging and imaging
Li, David (Principal Investigator) Yang, Erfu (Co-investigator) Wang, Weiyu (Researcher)
01-Jan-2018 - 31-Jan-2021
Smart Hardware-embedded Data Processors for Rapid 3D Ranging & Imaging
Li, David (Principal Investigator)
01-Jan-2018 - 31-Jan-2021
Smart Big Data Analysis for Time-of-Flight Light Detection and Ranging (LiDAR)
Li, David (Principal Investigator)
01-Jan-2018 - 31-Jan-2020

More projects


Strathclyde Institute of Pharmacy and Biomedical Sciences
Hamnett Wing

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