David Boyle is an Associate Professor (Senior Lecturer) with the Dyson School of Design Engineering. His research centres around the design of networked monitoring and control systems synonymous with Cyber-Physical Systems and the Internet of Things. This covers a variety of topics, including: designing reliable, secure & private, energy efficient wireless communication systems; energy transfer, storage and management systems; control and design optimisation.
Applications are welcome from outstanding prospective PhD students and postdoctoral researchers. Please contact Dr Boyle directly if you wish to be considered for a position.
David joined the School from the Department of Electrical and Electronic Engineering at Imperial College London, where he was a Research Fellow since 2012 with research interests at the intersection of wireless sensing, actuation and control systems, data analytics, and the digital economy.
Before joining Imperial, David worked with Wireless Sensor Network and Microelectronics Applications Integration Groups in the Microsystems Centre at Tyndall National Institute, and the Embedded Systems Research Group, University College Cork, Ireland, developing ‘green' wireless sensor networks. Previously, he was with Orange Labs, France, and a Visiting Postdoctoral Scholar at the Higher Technical School of Telecommunications Engineering, Technical University of Madrid (ETSIT UPM).
David received his PhD in Electronic and Computer Engineering from the University of Limerick, Ireland, in 2009, for his work in the area of security for wireless sensor networks, having graduated with a B. Eng. (Hons) in Computer Engineering in 2005.
et al., 2022, Minimally invasive online water monitor, Ieee Internet of Things Journal, Vol:9, ISSN:2327-4662, Pages:14325-14335
et al., 2022, Vacuum-Formed 3D Printed Electronics: Fabrication of Thin, Rigid and Free-Form Interactive Surfaces, Sn Computer Science, Vol:3, ISSN:2662-995X
et al., 2022, An open platform for efficient drone-to-sensor wireless ranging and data harvesting, Sustainable Computing-informatics & Systems, Vol:35, ISSN:2210-5379
Shaukat-Jali R, Van Zalk N, Boyle DE, 2021, Detecting subclinical social anxiety using physiological data from a wrist-worn wearable: a small-scale feasibility study, Jmir Formative Research, Vol:5, ISSN:2561-326X
et al., 2021, Interrogation and charging of embedded sensors by autonomous vehicles, 2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers), IEEE, Pages:296-299