报告题目：Latest developments of CMOS single-photon avalanche diodes - the new applications in heathcare & challenges
报告人：David Li，senior lecturer in photonics/electronics, SIPBS.
主持人：叶海峰 研究员
报告时间：2018年3月13日 13:30
报告地点：生命科学学院534小会议室
举办单位：生命科学学院/科技处
报告人简介：David Li is a senior lecturer in photonics/electronics. He received his PhD from the Department of Electrical Engineering, National Taiwan University. He then joined the Industrial Technology Research Institute (ITRI), 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 ECE, 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 SIPBS, Faculty of Science, 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.
报告人摘要：Rapid advances in semiconductor manufacturing have allowed single-photon sensors to be packed in 2D arrays. With such innovative sensors, scientists are able to track how light propagates and to reveal unknown biological processes. The applications of these devices include biomedical imaging, 3D ranging, driver-less vehicles or time-resolved spectroscopy. However, such advanced imaging systems also bring unprecedented challenges in data storage and data analytics. How could we deal with such challenges with innovative computational techniques and what opportunities will be promised through these new techniques?