Dr Ruiheng Wu
Senior Lecturer in Electronic and Electrical Engineering
Howell 218
- Email: ruiheng.wu@brunel.ac.uk
- Tel: +44 (0)1895 265838
Summary
Dr Ruiheng Wu received his BEng and MEng degrees from Tianjin University, China, in 1982 and 1986 respectively. Following 10 years as a faculty member in the Department of Electronic Engineering at Tianjin University and two years research at the City University of Hong Kong, he joined the Analogue Circuit Design Research Group at Oxford Brookes University as a PhD student in January 1999, where he completed his PhD thesis entitled 'Design of Wide Bandwidth High Linearity Amplifiers'. In January 2002, he joined the School of Engineering, University of Greenwich, where he worked as a senior lecturer until January 2018. Between January 2018 and January 2020, Dr Wu worked in the School of Engineering and the Built Environment, Birmingham City University. Currently, Dr Wu is a senior lecturer in electronic and electrical engineering, Department of Electronic and Computer Engineering, Brunel University London. Dr Wu is a senior member of the IEEE and a member of the IET.
Qualifications
PhD in Electronic Engineering (Research topic: Design of Wide Bandwidth High Linearity Amplifiers), 2004, Oxford Brookes University, U.K.
MEng in Electronic Engineering (Research topic: Switched Capacitor Filter Design), 1986, Tianjin University, China.
BEng in Electronic Engineering, 1982, Tianjin University, China.
Newest selected publications
Li, Y., Wu, R., Gan, L. and He, P. (2024) 'Development of an effective relay communication technique for multi-UAV wireless network'. IEEE Access, 12. pp. 74087 - 74095.Open Access Link
Taha, A., Hopthrow, T., Wu, R., Adams, N., Brown, J., Zoha, A., et al. (2021) 'Identifying the lack of energy-conscious behaviour in clinical and non-clinical settings: An nhs case study'. Electronics (Switzerland), 10 (20). pp. 1 - 19.Open Access Link
Ge, B., Hou, C., Liu, Y., Wang, Z. and Wu, R. (2021) 'Anomaly detection of power line insulator from aerial imagery with attribute self-supervised learning'. International Journal of Remote Sensing, 42 (23). pp. 8819 - 8839. ISSN: 0143-1161
Lai, CS., Jia, Y., Dong, Z., Wang, D., Tao, Y., Lai, QH., et al. (2020) 'A review of technical standards for smart cities'. Clean Technologies, 2 (3). pp. 290 - 310.Open Access Link
Taha, A., Wu, R., Emeakaroha, A. and Krabicka, J. (2018) 'Reduction of Electricity Costs in Medway NHS by Inducing Pro-Environmental Behaviour Using Persuasive Technology'. Future Cities and Environment, 4 (1).