Dr Dehao Wu
- 01202 965062
- dwu at bournemouth dot ac dot uk
- Senior Lecturer in Computer Science
- PH316,
Biography
Dehao Wu is a senior lecturer in Computer Science. Before joining Bournemouth University (BU), he holds the role of Sussex research fellowship and was a senior research fellow in the department of engineering and design at University of Sussex since April 2018. Before joining Sussex, he was a postdoc research fellow at Nanyang Technological University of Singapore and University of Manchester, respectively.
His current research work focuses on machine-learning algorithms and intelligent management of 5G and beyond-5G systems. Artificial intelligent for 5G verticals and IoT. His other research interests include the area of optical wireless communications, free space optics, visible light communications, RF communications, indoor high-accuracy positioning, optical sensing and detecting, underwater RF and acoustic communications, information-centric networking, and information resilience.
He has published more than 45 peer-reviewed papers in international conferences and journals, two book chapters and two patents in indoor high-accuracy positioning technology... He is an Executive Committee member of IET RF and Microwave Technical and Professional Networks (TPN), and service as the technical committee member for several IEEE conferences. He received the bachelor's degree in optical and information engineering in 2007, M.Sc. degree in microelectronics and telecommunication engineering in 2009 and Ph.D in optical wireless communications from Northumbria University, Newcastle, U.K., in 2013.
moreJournal Articles
- Wu, D. and Chai, W.K., 2021. Information resilience in a network of caches with perturbations. IEEE Access, 9, 136135-136150.
- Meng, X., Nekovee, M. and Wu, D., 2021. The Design and Analysis of Electronically Reconfigurable Liquid Crystal-Based Reflectarray Metasurface for 6G Beamforming, Beamsteering, and Beamsplitting. IEEE Access, 9, 155564-155575.
Conferences
- Coca, A., Li, F., Shiaeles, S., Wu, D. and Liu, F., 2024. The Effect of Privacy Concerns, Interaction, Trust, Age, and Gender on Self-Disclosure Behaviours on Social Networking Sites. Proceedings of the 2024 IEEE International Conference on Cyber Security and Resilience, CSR 2024, 551-556.
- Pellatt, L., Nekovee, M. and Wu, D., 2021. A concurrent training method of deep-learning autoencoders in a multi-user interference channel. Proceedings of the International Symposium on Wireless Communication Systems, 2021-September.