Tim was awarded a first-class Bachelor’s degree in Electronic Engineering from the University of Southampton. During this time he developed an interest in lower power system design and embedded applications through his third year project, developing a novel maximum power point tracking strategy for CubeSats by using machine learning. Tim is now in the third year of his PhD, and is currently based in Arm Research, Cambridge until August 2020, where he is focusing on RTL design and benchmarking for Intermittent Computing. Tim’s research aims to improve the efficiency of checkpointing based approaches for intermittent computing, utilizing characteristics of the hardware and energy harvesters powering the device. He aims to further explore additional hardware adaptions for intermittent computing systems for on-chip implementation, further increasing computation achieved with a given intermittent supply. As well as this, Tim is investigating the burden intermittent compute places on embedded software development.
Watch Tim giving a 2-minute overview of his research into energy-harvesting computing at the Arm Research Summit 2018:
“Majority of prior intermittent compute (IC) works have targeted at 16b CPUs. Tim’s work is among many recent efforts to study IC on Arm M-class CPUs. A potential outcome of this research would be a platform for academics to qualify IC strategies for Arm CPUs. NVM has a strong influence on IC strategies and Tim’s research is expected to guide the evaluation of emerging NVM technologies. Aside of the broad theoretical analysis, Tim’s research is aimed at developing proven IC techniques for Arm powered SoCs to be used in battery-less IoT leaf nodes.”
Anand Savanth – Principal Research Engineer