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.

 

 

 

Available Studentships for 2021:

1. 4-year PhD studentship funded by STMicroelectronics

 

2. 3-year PhD studentships in time-resolved spectroscopy/imaging and machine-learning techniques for biomedical applications expected to start from 1st October 2021.

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

Design and smartphone implementation of chaotic duplex H.264-codec video communications
Chen Baoju, Yu Simin, Zhang Zeqing, Li David Day-Uei, Lü Jinhu
International Journal of Bifurcation and Chaos Vol 31 (2021)
https://doi.org/10.1142/S0218127421500450
On synthetic instrument response functions of time-correlated single-photon counting based fluorescence lifetime imaging analysis
Xiao Dong, Sapermsap Natakorn, Safar Mohammed, Cunningham Margaret Rose, Chen Yu, Li David Day-Uei
Frontiers in Physics Vol 9 (2021)
https://doi.org/10.3389/fphy.2021.635645
Efficient time-to-digital converters in 20 nm FPGAs with wave union methods
Xie Wujun, Chen Haochang, Li David
IEEE Transactions on Industrial Electronics (2021)
https://doi.org/10.1109/TIE.2021.3053905
Cryptanalysis of some self-synchronous chaotic stream ciphers and their improved schemes
Chen Baoju, Yu Simin, Li David Day-Uei, Lü Jinhu
International Journal of Bifurcation and Chaos (2021)
Theoretical investigations of a modified compressed ultrafast photography method suitable for single-shot fluorescence lifetime imaging
Li Yahui, Tian Jinshou, Li David Day-Uei
Applied Optics (2021)
One-dimensional deep learning architecture for fast fluorescence lifetime imaging
Xiao Dong, Chen Yu, Li David Day-Uei
IEEE Journal of Selected Topics in Quantum Electronics Vol 27 (2021)
https://doi.org/10.1109/JSTQE.2021.3049349

More publications

Projects

Time-resolved imaging and spectroscopy systems for life science applications
Li, David (Principal Investigator) Jiao, Ziao (Researcher)
01-Jan-2020 - 31-Jan-2023
High-precision time conversion and TCSPC systems for time-resolved optical spectroscopy and imaging
Li, David (Principal Investigator) Wang, Yu (Researcher)
01-Jan-2020 - 30-Jan-2023
Applications of multichannel high-precision time-resolved spectroscopy
Li, David (Principal Investigator) Wang, Quan (Researcher)
01-Jan-2020 - 30-Jan-2023
Smart Hardware-embedded Data Processors for Rapid 3D Ranging & Imaging
Li, David (Principal Investigator) Zang, Zhenya (Researcher) Yang, Erfu (Co-investigator)
01-Jan-2019 - 31-Jan-2022
Stand-off, SPAD-enhanced Ultra-Violet Raman Spectroscopy
Kelly, Ellis (Researcher) Stothard, David (Principal Investigator) Li, David (Principal Investigator)
The detection of substances at range is extremely important to a number of industrial production and safety processes. Raman is a potent optical technique by which the nature of a substance can be ascertained, but to date has been limited to contact / short-range stand of operation due to the weakness of the Raman scattering effect. In this programme, we will develop and evaluate different stand-off Raman spectrometers to solve different industrial, medical and safety issues in sectors such as the Nuclear industry, mining, healthcare and pharma production. Crucially, we will use UV excitation sources to maximise the intensity of the Raman scatter, and use single photon detectors which not only confer exquisite sensitivity, but whose temporal response allows fluorescence-suppression techniques to be brought to bear on such systems. Whilst many of these techniques have been demonstrated individually, we will integrate them into a single system refined for deployment in the envisaged end-user scenario; such an endeavour would represent a highly timely, novel and disruptive achievement. Our use of single-photon detectors also plays strongly into the UK Quantum Technologies agenda, and will result in a timely and highly innovative early industrial application of these devices.
01-Jan-2019 - 30-Jan-2023
High-precision timing circuits for time-resolved measurements
Li, David (Principal Investigator) XIE, Wujun (Post Grad Student)
01-Jan-2018 - 30-Jan-2021

More projects