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Dr Fang Wang
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Wilfred Brown Building 217

Summary

Dr Fang Wang is a Senior Lecturer in the Department of Computer Science at СʪÃÃÊÓƵ 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 СʪÃÃÊÓƵ 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.

Conference paper

Yang, R., Yang, Q., Chen, D., Wang, F. and Qiu, Y. (2024) ''.2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Glasgow, UK. 20 - 23 May. IEEE. pp. 1 - 6. ISSN: 2642-2069

Conference paper

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

Conference paper

Yang, J., Sun, Y., Mao, M., Bai, L., Zhang, S. and Wang, F. (2023) ''. IEEE Transactions on Big Data, 9 (6). pp. 1496 - 1509.

Journal article

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.

Conference paper
More publications(47)

СʪÃÃÊÓƵ London
Kingston Lane
Uxbridge
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