Dr Fang Wang
Reader
Wilfred Brown Building 217
- Email: fang.wang@brunel.ac.uk
- Tel: +44 (0)1895 267850
Summary
Dr Fang Wang is a Senior Lecturer in the Department of Computer Science at Brunel University London. She received a PhD in artificial intelligence from the University of Edinburgh and worked as a senior researcher in the research centre of British Telecom (BT) Group, before she joined Brunel University London in 2010. Dr. Wang has published a number of papers in books, journals and conferences and filed a series of patents.
Dr. Wang is an established teacher and researcher in computer science and artificial intelligence. Her research interests include nature-inspired computing, agents, intelligent information processing, intelligent distributed computing, cognitive radio networks, e-learning and cloud education, cognitive science and computer vision. She actively participated in a number of EU, EPSRC, BT long term research projects and received several technical awards, including the Gordon Radley Technical Premium Highly Commended award of BT and ACM Best Student Paper Award at the Third International Conference on Autonomous Agents. She is on the editorial boards of several international journals and serves on many program committees.
Newest selected publications
Widgington, JJ., Ivanov, A., Wang, F. and Karayiannis, TG. (2024) 'A novel feed-forward neural network for flow boiling pattern prediction'.18th UK Heat Transfer Conference. Birmingham, UK. 9 - 11 September. Proceedings of the 18th UK Heat Transfer Conference.Open Access Link
Yang, R., Yang, Q., Chen, D., Wang, F. and Qiu, Y. (2024) 'Explaining Deep Learning Models for COVID-19 Detection with Grad-CAM and Novel Use of PCA'.2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Glasgow, UK. 20 - 23 May. IEEE. pp. 1 - 6. ISSN: 2642-2069
Zhu, C., Zhu, J., Cai, Y. and Wang, F. (2023) 'Decomposing Synthesized Strategies for Reactive Multi-agent Reinforcement Learning'.Theoretical Aspects of Software Engineering. Bristol. 27 - 6 July. Springer Nature Switzerland. pp. 59 - 76. ISSN: 0302-9743 Open Access Link
Yang, J., Sun, Y., Mao, M., Bai, L., Zhang, S. and Wang, F. (2023) 'Model-agnostic Method: Exposing Deepfake using Pixel-wise Spatial and Temporal Fingerprints'. IEEE Transactions on Big Data, 9 (6). pp. 1496 - 1509.Open Access Link
Widgington, J., Wang, F., Ivanov, A. and Karayiannis, T. (2023) 'Predicting microscale bubble to slug transition boundary using an Artificial Neural Network'.11th International Conference on Boiling and Condensation Heat Transfer. Edinburgh, UK. 15 - 17 May. Proceedings of the 11th International Conference on Boiling and Condensation Heat Transfer. pp. 1 - 2.Open Access Link