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
Zhu, C., Zhu, J., Cai, Y. and Wang, F. (2023) ''.Theoretical Aspects of Software Engineering. Bristol. 27 - 6 July. Springer Nature Switzerland. pp. 59 - 76. ISSN: 0302-9743
Yang, J., Sun, Y., Mao, M., Bai, L., Zhang, S. and Wang, F. (2023) ''. IEEE Transactions on Big Data, 9 (6). pp. 1496 - 1509.
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.
Garratt, W., Rithviik, S. and Wang, F. (2023) 'Achieving Interoperability Between Gaming Engines by Utilizing Open Simulation Standards'.2023 Simulation Innovation Workshop (SIW). Orlando, Florida. 1 - 17 February. 2023 Simulation Innovation Workshop, SIW 2023. pp. 1 - 14.
Gao, S., Shi, H., Wang, F., Wang, Z., Zhang, S., Li, Y. and et al. (2022) ''. Neurocomputing, 483. pp. 299 - 310. ISSN: 0925-2312