Prof Qiang Shen BSc, MSc, PhD, DSc, CEng, FBCS, FLSW, FREng
Pro Vice-Chancellor: Faculty of Business and Physical Sciences
Contact Details
- Email: qqs@aber.ac.uk
- ORCID: 0000-0001-9333-4605
- Office: E46A, Llandinam Building
- Phone: +44 (0) 1970 622424
- Personal Website: http://users.aber.ac.uk/qqs
- Research Portal Profile
Profile
Qiang Shen is a professor, and Pro Vice-Chancellor: Faculty of Business and Physical Sciences at Aberystwyth University. He is a Fellow of the Royal Academy of Engineering and a Fellow and Council Member of the Learned Society of Wales (the national academy of Wales).
Professor Shen was a member of the UK Research Excellence Framework (REF) 2021 Sub-panel 11: Computer Science and Informatics and also, a REF 2014 panel member. He was a London 2012 Olympic Torch Relay torchbearer, nominated to carry the Olympic torch in celebration of the centenary of Alan Turing. He is the recipient of the 2024 IEEE CIS Fuzzy Systems Pioneer Award.
Research Groups
Publications
Yang, H, Chang, X, Guo, Z, Chao, F, Shang, C & Shen, Q 2024, Large Kernel Convolutional Attention Based U-Net Network for Inpainting Oracle Bone Inscription. in Q Liu, H Wang, R Ji, Z Ma, W Zheng, H Zha, X Chen & L Wang (eds), Pattern Recognition and Computer Vision: 6th Chinese Conference, PRCV 2023, Proceedings. vol. 14435, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14435 LNCS, Springer Nature, 152 BEACH ROAD, 21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE, pp. 117-129, The 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, XIAMEN, China, 13 Oct 2023. 10.1007/978-981-99-8552-4_10
Gu, X, Angelov, P & Shen, Q 2024, 'Semi-Supervised Fuzzily Weighted Adaptive Boosting for Classification', IEEE Transactions on Fuzzy Systems. 10.1109/TFUZZ.2024.3349637
Li, Q, Guo, Z, Chao, F, Chang, X, Yang, L, Lin, C-M, Shang, C & Shen, Q 2024, 'Solving Robotic Trajectory Sequential Writing Problem via Learning Character’s Structural and Sequential Information', IEEE Transactions on Cybernetics, vol. 54, no. 2, 9858665, pp. 1096-1108. 10.1109/TCYB.2022.3194700
Akinsehinde, BO, Shang, C & Shen, Q 2024, Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-Series Forecasting. in Advances in Computational Intelligence Systems: Contributions presented at the 22n UK Workshop on Computational Intelligence (UKCI 2023), September 6-8 2023, Birmingham, UK. vol. AISC, volume 1453, Springer Nature, Springer, Cham, pp. 114-132. 10.1007/978-3-031-47508-5_10
Chang, X, Chao, F, Shang, C & Shen, Q 2023, 'Automated Action Evaluation for Robotic Imitating Learning via Siamese Neural Networks', Paper presented at Robotics and Automation, London, United Kingdom of Great Britain and Northern Ireland, 29 May 2023 - 02 Jun 2023.
More publications on the Research Portal