Shufan Yang
Lecturer
Department of Engineering
University of Glasgow
United Kingdom
Biography
Shufan Yang is currently working as a Lecturer in the Department of Engineering
Research Interest
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 lecturer and led a research team, working on neural 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.
Publications
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Jiménez Serrata, A. A., Yang, S. and Li, R. (2017) An intelligible implementation of FastSLAM2.0 on a low-power embedded architecture. EURASIP Journal on Embedded Systems, 2017(1), 27.
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Yang, S. , Wong-Lin, K., Andrew, J., Mak, T. and McGinnity, T. M. (2017) A neuro-inspired visual tracking method based on programmable system-on-chip platform. Neural Computing and Applications,