Dr Shufan Yang
- Lecturer in Glasgow College UESTC (Systems Power & Energy) (Systems Power & Energy)
I completed my PhD at the Advance Processor Technologies Group from September 2006 to March 2010 at the University of Manchester, where I was involved in inventing a revolutionary biological chip in the SpiNNaker project. I also worked on the Intrinsically Motivated Cumulative Learning Versatile Robots (IM-Clever) project at the University of Ulster from August 2010 until October 2012 as a postdoc research associate for building a novel inhibitory control system using multiple FPGAs. I joined the University of Wolverhampton (Nov/2012-Aug/2017) as a senior lecturer and led a research team, working on artifical neuron network implementation in hardware for an assistive tumour detection system on Ultra scale FPGAs. Traditional AI system were based on human experts’ defined the tasks and evaluated by the predefined metrics, which leads to an unstable system when exposed on context changes and dynamic environment. To tackle these situations, I am interested in developing the capability of incrementally perceiving and able to learn on their own, and acting accordingly in real time to achieve autonomous. I also prototype those systems based on ASIC and FPGAs.
Sept. 2019 - Jan. 2020 "Distrubuted artifical intelligence in gastrointestinal endoscopy", Alliance Hubert Curien program with
Centrale-Supelec, Campus Gif, France,
May 2019 - Aug. 2019 "Optical Imaging Using Neural Networks for GI Conditions", EPSRC summer school project
Oct. 2019 - Jan. 2019 "Towards Ubiquitous Low-power Image Processing Platforms"(package 5), EU horizon 2020
Mar. 2018 - April 2018 Erasmus Mobility funds, ECHE
Jun. 2016 - Sept. 2017 "Total Inventive Cleaning Power Mop", Knowledge Transfer Partnership, Innovate UK,
Sept.2016 - Dec. 2019 "Modelling and Algorithms of Functional Safety for New Generation Automotive Embedded Systems", NSFC
Feb.2015 - Oct. 2015 "A neuro-inspired Multisensory Perceptual Decision-making Model with Decision Confidence " ASUR, Funded by DstL
1.Rosemary McManus (College of MVLS) "Hyperspectral Imaging Vehicle-based Epidemiology"
2. Hannah Thomson, "Quantitative Ultrasound for Brain Tumour"
1. Introductory Program
2. Embedded Processor
3.Wireless Sensor Network
IEEE Senior Member
RET Senior Fellow
BCS Fellow (High Education liaison officer)