Prof Qiang Shen BSc, MSc, PhD, DSc, CEng, FBCS, FLSW, FREng

Prof Qiang Shen

Pro Vice-Chancellor: Faculty of Business and Physical Sciences

Contact Details

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.

Research Groups

Publications

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.
Chang, X, Chao, F, Shang, C & Shen, Q 2023, Automated Action Evaluation for Robotic Imitation Learning via Siamese Neural Networks. in Proceedings - ICRA 2023: IEEE International Conference on Robotics and Automation. Proceedings - IEEE International Conference on Robotics and Automation, vol. 2023-May, IEEE Press, pp. 9537-9543, 2023 IEEE International Conference on Robotics and Automation, ICRA 2023, London, United Kingdom of Great Britain and Northern Ireland, 29 May 2023. 10.1109/ICRA48891.2023.10161364
Gu, X, Han, J, Shen, Q & Angelov, P 2023, 'Autonomous Learning for Fuzzy Systems: A Review', Artificial Intelligence Review, vol. 56, no. 8, pp. 7549-7595. 10.1007/s10462-022-10355-6
Yang, M, Ma, H, Li, X, Shang, C & Shen, Q 2023, 'Bus bridging for rail disruptions: A distributionally robust fuzzy optimization approach', IEEE Transactions on Fuzzy Systems, vol. 31, no. 2, pp. 500-510. 10.1109/TFUZZ.2022.3224789
Liu, J, Chao, F, Yang, L, Lin, CM, Shang, C & Shen, Q 2023, 'Decoder Choice Network for Metalearning', IEEE Transactions on Cybernetics, vol. 53, no. 6, pp. 3440-3453. 10.1109/TCYB.2021.3123403
More publications on the Research Portal