Dr Wai-keung Fung
Senior Lecturer in Electronics Robotics & or Control Engineering
Cardiff School of Technologies
Overview
Dr Wai-keung Fung received his PhD degree from the Department of Mechanical and Automation Engineering at the Chinese University of Hong Kong in 2001. His research interests include Autonomous Robotics, Computational Intelligence and Human-machine Interaction. He had postdoctoral research experience at Michigan State University and the Chinese University of Hong Kong. Then, he was an academic in the Department of Electrical and Computer Engineering at the University of Manitoba (Winnipeg, Manitoba, Canada) and the School of Engineering at Robert Gordon University, Aberdeen, United Kingdom. He joined Cardiff Metropolitan University’s School of Technologies in July 2020. He is also the Programme Director of the BEng(Hons)/MEng in Electronics and Computer Systems Engineering and the co-lead of the EUREKA Robotics Centre in the Cardiff School of Technologies. In addition, he has been a Fellow of the Higher Education Academy (FHEA) since 2015, an IEEE Senior Member since January 2009 and a member of IET since October 2017.
Research Publications
Machine Learning Based Underwater Optical-Acoustic Communications Channel Switching for Throughput Improvement
Stewart, C., Muhammad, A., Fung, W.-K., Fough, N. & Prabhu, R., 3 Dec 2024, 2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea). Institute of Electrical and Electronics Engineers Inc., p. 46-51 6 p. (2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Resonance Effects in Periodic and Aperiodic Lattice Structures
Uddin, M. J., Platts, J., Rajan, G., Fung, W. K., Islam, S. Z. & Islam, M. U., 5 Jun 2024, In: IEEE Microwave Magazine. 25, 7, p. 63-78 16 p.Research output: Contribution to journal › Article › peer-review
Extremely Random Forest based Automatic Tonic-Clonic Seizure Detection using Spectral Analysis on Electroencephalography Data
Stewart, C., Fung, W. K., Fough, N. & Prabhu, R., 7 Aug 2023, 21st IEEE Interregional NEWCAS Conference, NEWCAS 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (21st IEEE Interregional NEWCAS Conference, NEWCAS 2023 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Pipeline Leakage Detection and Characterisation with Adaptive Surrogate Modelling Using Particle Swarm Optimisation
Adegboye, M. A., Karnik, A., Fung, W. K. & Prabhu, R., 21 Mar 2023, 2022 9th International Conference on Soft Computing and Machine Intelligence, ISCMI 2022. Institute of Electrical and Electronics Engineers Inc., p. 129-134 6 p. (2022 9th International Conference on Soft Computing and Machine Intelligence, ISCMI 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
Hasan, M. M., Islam, M. U., Sadeq, M. J., Fung, W. K. & Uddin, J., 3 Jan 2023, In: Sensors. 23, 1, 527.Research output: Contribution to journal › Review article › peer-review
Automated Tonic-Clonic Seizure Detection Using Random Forests and Spectral Analysis on Electroencephalography Data
Stewart, C., Fung, W. K., Fough, N. & Prabhu, R., 4 Sept 2022, Advances in System-Integrated Intelligence - Proceedings of the 6th International Conference on System-Integrated Intelligence SysInt 2022, Genova, Italy. Valle, M., Lehmhus, D., Gianoglio, C., Ragusa, E., Seminara, L., Bosse, S., Ibrahim, A. & Thoben, K.-D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 679-688 10 p. (Lecture Notes in Networks and Systems; vol. 546 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Numerical study of pipeline leak detection for gas-liquid stratified flow
Adegboye, M. A., Karnik, A. & Fung, W. K., 26 Jul 2021, In: Journal of Natural Gas Science and Engineering. 94, 104054.Research output: Contribution to journal › Article › peer-review
A low-complexity wavelet-based visual saliency model to predict fixations
Narayanaswamy, M., Zhao, Y., Fung, W. K. & Fough, N., 28 Dec 2020, ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 9294905. (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
A fuzzy cooperative localisation framework for underwater robotic swarms
Sabra, A. & Fung, W. K., 25 Sept 2020, In: Sensors. 20, 19, p. 1-24 24 p., 5496.Research output: Contribution to journal › Article › peer-review
Recent advances in pipeline monitoring and oil leakage detection technologies: Principles and approaches
Adegboye, M. A., Fung, W. K. & Karnik, A., 4 Jun 2019, In: Sensors. 19, 11, 2548.Research output: Contribution to journal › Review article › peer-review