Dr Shufan Yang

  • Lecturer in Glasgow College UESTC (Systems Power & Energy)

Research interests

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.


Grants

Jun. 2016 – Sept. 2018

“Total Inventive Cleaning Power Mop”, Knowledge Transfer  Partnerships, Innovate United Kingdom, Leading Academic, £66,693

Sept. 2016 –Dec. 2019

“Modelling and Algorithms of Functional Safety for New Generation Automotive Embedded Systems (61672217)”, Co-I, National Natural Science Foundation of China, £80,000
Feb.2015 – Oct. 2015 “Investigate tolerance of visual and haptic inconsistent”, Faculty QR funds, PI, University of Wolverhampton, £8,000
Feb. 2015 – Oct. 2015

“A neuro-inspired multisensory perceptual decision-making model with decision confidence”, ASUR, Funded by DstL, Co-I £40,000

 


Supervision

1 Zheqi Yu Medical image processing in hardware
2   FPGAs for 3D image

Teaching

1. Introductory Program
2. Team Design and Project Skills

Additional information

IEEE Member

BCS Fellow

HEA Fellow


Publications

List by: Type | Date

Jump to: 2019 | 2018 | 2017 | 2015 | 2013 | 2012 | 2011 | 2009 | 2007
Number of items: 23.

2019

Yang, S. , Le Kernec, J. , Fioranelli, F. and Romain, O. (2019) Human Activities Classification in a Complex Space using Raw Radar Data. In: 2019 International Radar Conference, Toulon, France, 23-27 Sept 2019, (Accepted for Publication)

Yang, S. and Newman, R. (2019) Rotational blended learning in computer system engineering courses. IEEE Transactions on Education, (doi:10.1109/TE.2019.2899095) (Early Online Publication)

Yang, S. and Yu, Z. (2019) A highly integrated hardware-software co-design and co-verification platform. IEEE Design and Test, 36(1), pp. 23-30. (doi:10.1109/MDAT.2018.2841029)

2018

Lin, Y., Le Kernec, J. , Yang, S. , Fioranelli, F. , Romain, O. and Zhao, Z. (2018) Human activity classification with radar: optimization and noise robustness with iterative convolutional neural networks followed with random forests. IEEE Sensors Journal, 18(23), pp. 9669-9681. (doi:10.1109/JSEN.2018.2872849)

Yang, S. , Wong-Lin, K., Andrew, J., Mak, T. and McGinnity, T. M. (2018) A neuro-inspired visual tracking method based on programmable system-on-chip platform. Neural Computing and Applications, 30(9), pp. 2697-2708. (doi:10.1007/s00521-017-2847-5)

Loukas, C., Fioranelli, F. , Le Kernec, J. and Yang, S. (2018) Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers. In: 1st International Workshop on Healthcare with Intelligent Sensing, System and Data (HISSD) in CyberSciTech2018, Athens, Greece, 12-15 Aug 2018, pp. 441-445. ISBN 9781538675199 (doi:10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00088)

Yu, Z., Yang, S. , Zhou, K. and Aggoun, A. (2018) A low computational approach for assistive esophageal adenocarcinoma and colorectal cancer detection. Advances in Intelligent Systems and Computing, 840, pp. 169-178. (doi:10.1007/978-3-319-97982-3_14)

Le Kernec, J. , Fioranelli, F. , Yang, S. , Lorandel, J. and Romain, O. (2018) Radar for Assisted Living in the Context of Internet of Things for Health and Beyond. In: 26th IFIP/IEEE/AICA International Conference on Very Large Scale Integration, Verona, Italy, 8-10 Oct 2018, (Accepted for Publication)

Yang, S. , Zhang, L. and Imran, M. (2018) Celebrating Cultural Diversity through Rotational Focus Groups. 11th Annual University of Glasgow Learning and Teaching Conference, Glasgow, 28-29 Mar 2018.

Yang, S. , Wong-Lin, K., Rano, I. and Lindsay, A. (2018) A Single Chip System for Sensor Data Fusion Based on a Drift-diffusion Model. In: Intelligent Systems Conference (IntelliSys) 2017, London, UK, 7-8 Sept 2017, pp. 198-201. ISBN 9781509064359 (doi:10.1109/IntelliSys.2017.8324291)

Yu, Z., Yang, S. , Sillitoe, I. and Buckley, K. (2018) Towards a Scalable Hardware/Software Co-Design Platform for Real-time Pedestrian Tracking Based on a ZYNQ-7000 Device. In: 2nd International Conference on Consumer Electronics Asia (ICCE ASIA 2017), Bengaluru, India, 5-7 Oct 2017, pp. 127-132. ISBN 9781538627877 (doi:10.1109/ICCE-ASIA.2017.8307853)

2017

Günther, M. et al. (2017) Unconstrained Face Detection and Open-Set Face Recognition Challenge. In: IEEE International Joint Conference on Biometrics (IJCB 2017), Denver, CO, USA, 1-4 Oct 2017,

Yang, S. (2017) A Rotational Blended Learning with Internet-Based E-learning in Computer System Engineering Courses. Digital Learning Conference, Plymouth, UK, 29 Jun 2017.

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. (doi:10.1186/s13639-017-0075-9)

Loizides, F., Naughton, L., Wilson, P., Loizou, M., Yang, S. , Hartley, T., Worrallo, A. and Zaphiris, P. (2017) Interactive Reading Using Low Cost Brain Computer Interfaces. In: 16th IFIP TC.13 International Conference on Human-Computer Interaction: INTERACT 2017, Mumbai, India, 25-29 Sept 2017, pp. 450-454. ISBN 9783319680583 (doi:10.1007/978-3-319-68059-0_49)

2015

Yang, S. , Li, R. and Wu, Q. (2015) Modelling Visual Attention Towards Embodiment Cognition on a Reconfigurable and Programmable System. In: 28th IEEE International System-on-Chip Conference (SOCC 2015), Beijing, China, 8-11 Sep 2015, pp. 115-120. ISBN 9781467390941 (doi:10.1109/SOCC.2015.7406924)

2013

Navaridas, J. et al. (2013) SpiNNaker: Fault tolerance in a power- and area- constrained large-scale neuromimetic architecture. Parallel Computing, 39(11), pp. 693-708. (doi:10.1016/j.parco.2013.09.001)

Yang, S. , Li, R. and Hillenbrand, D. (2013) Modelling Nanoplasmonic Device Based on an Off-shelf Hybrid Desktop Supercomputing Platform. In: 13th IEEE International Conference on Nanotechnology (IEEE-NANO 2013), Beijing, China, 5-8 Aug 2013, pp. 356-359. ISBN 9781479906765 (doi:10.1109/NANO.2013.6720891)

2012

Yang, S. , McGinnity, T. M. and Wong-Lin, K. (2012) Adaptive proactive inhibitory control for embedded real-time applications. Frontiers in Neuroengineering, 5, 10. (doi:10.3389/fneng.2012.00010) (PMID:22701420) (PMCID:PMC3371629)

2011

Yang, S. and McGinnity, T.M. (2011) A biologically plausible real-time spiking neuron simulation environment based on a multiple-FPGA platform. Computer Architecture News, 39(4), pp. 78-81. (doi:10.1145/2082156.2082176)

Yang, S. , Wu, Q. and Li, R. (2011) A case for spiking neural network simulation based on configurable multiple-FPGA systems. Cognitive Neurodynamics, 5(3), pp. 301-309. (doi:10.1007/s11571-011-9170-0) (PMID:22942919) (PMCID:PMC3179547)

2009

Yang, S. , Furber, S. B., Shi, Y. and Plana, L. A. (2009) A Token-Managed Admission Control system for QoS provision on a best-effort GALS interconnect. Fundamenta Informaticae, 95(1), pp. 53-72. (doi:10.3233/FI-2009-142)

2007

Plana, L. A., Furber, S. B., Temple, S., Khan, M., Shi, Y., Wu, J. and Yang, S. (2007) A GALS infrastructure for a massively parallel multiprocessor. IEEE Design and Test of Computers, 24(5), pp. 454-463. (doi:10.1109/MDT.2007.149)

This list was generated on Thu May 23 14:57:52 2019 BST.
Number of items: 23.

Articles

Yang, S. and Newman, R. (2019) Rotational blended learning in computer system engineering courses. IEEE Transactions on Education, (doi:10.1109/TE.2019.2899095) (Early Online Publication)

Yang, S. and Yu, Z. (2019) A highly integrated hardware-software co-design and co-verification platform. IEEE Design and Test, 36(1), pp. 23-30. (doi:10.1109/MDAT.2018.2841029)

Lin, Y., Le Kernec, J. , Yang, S. , Fioranelli, F. , Romain, O. and Zhao, Z. (2018) Human activity classification with radar: optimization and noise robustness with iterative convolutional neural networks followed with random forests. IEEE Sensors Journal, 18(23), pp. 9669-9681. (doi:10.1109/JSEN.2018.2872849)

Yang, S. , Wong-Lin, K., Andrew, J., Mak, T. and McGinnity, T. M. (2018) A neuro-inspired visual tracking method based on programmable system-on-chip platform. Neural Computing and Applications, 30(9), pp. 2697-2708. (doi:10.1007/s00521-017-2847-5)

Yu, Z., Yang, S. , Zhou, K. and Aggoun, A. (2018) A low computational approach for assistive esophageal adenocarcinoma and colorectal cancer detection. Advances in Intelligent Systems and Computing, 840, pp. 169-178. (doi:10.1007/978-3-319-97982-3_14)

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. (doi:10.1186/s13639-017-0075-9)

Navaridas, J. et al. (2013) SpiNNaker: Fault tolerance in a power- and area- constrained large-scale neuromimetic architecture. Parallel Computing, 39(11), pp. 693-708. (doi:10.1016/j.parco.2013.09.001)

Yang, S. , McGinnity, T. M. and Wong-Lin, K. (2012) Adaptive proactive inhibitory control for embedded real-time applications. Frontiers in Neuroengineering, 5, 10. (doi:10.3389/fneng.2012.00010) (PMID:22701420) (PMCID:PMC3371629)

Yang, S. and McGinnity, T.M. (2011) A biologically plausible real-time spiking neuron simulation environment based on a multiple-FPGA platform. Computer Architecture News, 39(4), pp. 78-81. (doi:10.1145/2082156.2082176)

Yang, S. , Wu, Q. and Li, R. (2011) A case for spiking neural network simulation based on configurable multiple-FPGA systems. Cognitive Neurodynamics, 5(3), pp. 301-309. (doi:10.1007/s11571-011-9170-0) (PMID:22942919) (PMCID:PMC3179547)

Yang, S. , Furber, S. B., Shi, Y. and Plana, L. A. (2009) A Token-Managed Admission Control system for QoS provision on a best-effort GALS interconnect. Fundamenta Informaticae, 95(1), pp. 53-72. (doi:10.3233/FI-2009-142)

Plana, L. A., Furber, S. B., Temple, S., Khan, M., Shi, Y., Wu, J. and Yang, S. (2007) A GALS infrastructure for a massively parallel multiprocessor. IEEE Design and Test of Computers, 24(5), pp. 454-463. (doi:10.1109/MDT.2007.149)

Conference or Workshop Item

Yang, S. , Zhang, L. and Imran, M. (2018) Celebrating Cultural Diversity through Rotational Focus Groups. 11th Annual University of Glasgow Learning and Teaching Conference, Glasgow, 28-29 Mar 2018.

Yang, S. (2017) A Rotational Blended Learning with Internet-Based E-learning in Computer System Engineering Courses. Digital Learning Conference, Plymouth, UK, 29 Jun 2017.

Conference Proceedings

Yang, S. , Le Kernec, J. , Fioranelli, F. and Romain, O. (2019) Human Activities Classification in a Complex Space using Raw Radar Data. In: 2019 International Radar Conference, Toulon, France, 23-27 Sept 2019, (Accepted for Publication)

Loukas, C., Fioranelli, F. , Le Kernec, J. and Yang, S. (2018) Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers. In: 1st International Workshop on Healthcare with Intelligent Sensing, System and Data (HISSD) in CyberSciTech2018, Athens, Greece, 12-15 Aug 2018, pp. 441-445. ISBN 9781538675199 (doi:10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00088)

Le Kernec, J. , Fioranelli, F. , Yang, S. , Lorandel, J. and Romain, O. (2018) Radar for Assisted Living in the Context of Internet of Things for Health and Beyond. In: 26th IFIP/IEEE/AICA International Conference on Very Large Scale Integration, Verona, Italy, 8-10 Oct 2018, (Accepted for Publication)

Yang, S. , Wong-Lin, K., Rano, I. and Lindsay, A. (2018) A Single Chip System for Sensor Data Fusion Based on a Drift-diffusion Model. In: Intelligent Systems Conference (IntelliSys) 2017, London, UK, 7-8 Sept 2017, pp. 198-201. ISBN 9781509064359 (doi:10.1109/IntelliSys.2017.8324291)

Yu, Z., Yang, S. , Sillitoe, I. and Buckley, K. (2018) Towards a Scalable Hardware/Software Co-Design Platform for Real-time Pedestrian Tracking Based on a ZYNQ-7000 Device. In: 2nd International Conference on Consumer Electronics Asia (ICCE ASIA 2017), Bengaluru, India, 5-7 Oct 2017, pp. 127-132. ISBN 9781538627877 (doi:10.1109/ICCE-ASIA.2017.8307853)

Günther, M. et al. (2017) Unconstrained Face Detection and Open-Set Face Recognition Challenge. In: IEEE International Joint Conference on Biometrics (IJCB 2017), Denver, CO, USA, 1-4 Oct 2017,

Loizides, F., Naughton, L., Wilson, P., Loizou, M., Yang, S. , Hartley, T., Worrallo, A. and Zaphiris, P. (2017) Interactive Reading Using Low Cost Brain Computer Interfaces. In: 16th IFIP TC.13 International Conference on Human-Computer Interaction: INTERACT 2017, Mumbai, India, 25-29 Sept 2017, pp. 450-454. ISBN 9783319680583 (doi:10.1007/978-3-319-68059-0_49)

Yang, S. , Li, R. and Wu, Q. (2015) Modelling Visual Attention Towards Embodiment Cognition on a Reconfigurable and Programmable System. In: 28th IEEE International System-on-Chip Conference (SOCC 2015), Beijing, China, 8-11 Sep 2015, pp. 115-120. ISBN 9781467390941 (doi:10.1109/SOCC.2015.7406924)

Yang, S. , Li, R. and Hillenbrand, D. (2013) Modelling Nanoplasmonic Device Based on an Off-shelf Hybrid Desktop Supercomputing Platform. In: 13th IEEE International Conference on Nanotechnology (IEEE-NANO 2013), Beijing, China, 5-8 Aug 2013, pp. 356-359. ISBN 9781479906765 (doi:10.1109/NANO.2013.6720891)

This list was generated on Thu May 23 14:57:52 2019 BST.