Dr Dibin Zhu
Lecturer in Energy Harvesting and Power Management
Telephone: 01392 724660
Extension: (Streatham) 4660
Dr Dibin Zhu is a Lecturer in the Energy Harvesting Research Group at Exeter. He received BEng in Information and Control Engineering from Shanghai Jiao Tong University, China, in 2004. He joined the University of Southampton in October 2004 where he was awarded MSc in RF Communication Systems in 2005 and PhD in Electrical and Electronic Engineering in 2009, respectively. His PhD topic was "Methods of frequency tuning vibration-based micro-generators". After obtaining his PhD, he had worked as a Research Fellow and later a Senior Research Fellow in Electronics and Electrical Engineering Group in the University of Southampton for over six years. He then worked at Coventry University as a Lecturer in Electronic Engineering for a year before joining the University of Exeter in September 2016.
His research interests include energy harvesting from various sources, e.g. vibration, sound, wind, human movement, solar, RF, wireless power transfer etc and their applications as well as advanced materials for energy harvesting applications. He has worked on two EU FP7 projects, two EPSRC projects, three TSB (now Innovate UK) projects and several industry funded consultancy projects since 2009. Systems and devices he developed have been used in practical applications such as wind powered artwork in the Ropemaker Building in London and self-powered vibration sensors on Red Funnel ferries. He has been awarded total research funding of £1.57M as PI and co-I. He has 70 publications, 4 invited talks and 1 keynote speech. The total citation is over 1000 times and his H-factor is 16 (see his Google Scholar page). I was a member of the Organising Commitee of PowerMEMS 2013 and co-chair of Energy Harvesting 2017.
His research vision is to develop novel powering techniques to enable self-powered wireless intelligent systems that have long life span and require minimum maintenance. His long-term vision is to:
- Develop underpinning theories to understand the behaviour of novel energy harvesting devices and wireless power transfer systems.
- Advance knowledge on the practical deployment of self-powered wireless sensor networks for the Internet of Things (IoT).