Dr Ruaridh Clark

Research Associate

Electronic and Electrical Engineering

Personal statement

Ruaridh is an engineer and network researcher who investigates influence and division in dynamical systems. His work often exists at the boundary between disciplines, and has led to publications on Alzheimer’s disease, bird flocks, disease spread, image processing, robotic and satellite systems. This diverse portfolio informs his study of networks and offers opportunities to transfer innovation between domains. His current work includes a European Space Agency (ESA) funded project, developing design tools for the next generation of satellite constellations, and a large study on monitoring child neurodevelopment through tablet gameplay – with a focus on Autism. 

Ruaridh is experienced in the development of space technology and research into its applications. This includes delivering a three-year horizon scanning activity for the UK Space Agency, which assessed the potential of future space technology, and leading the development of a sounding rocket experiment for four years as part of ESA's REXUS programme.  


Robust assessment of EEG connectivity patterns in mild cognitive impairment and Alzheimer's disease
Clark Ruaridh A, Smith Keith, Escudero Javier, Ibáñez Agustín, Parra Mario A
Frontiers in Neuroimaging Vol 1 (2022)
Identifying effective sink node combinations in spacecraft data transfer networks
Clark Ruaridh, McGrath Ciara Nora, Macdonald Malcolm
Applied Network Science Vol 7 (2022)
Identifying effective sink node combinations in spacecraft data transfer networks
Clark Ruaridh A, McGrath Ciara N, Macdonald Malcolm
Dynamical influence driven space system design
Clark Ruaridh A, McGrath Ciara N, Macdonald Malcolm
Complex Networks 2021 (2021)
Dynamical influence driven space system design
Clark Ruaridh A, McGrath Ciara N, Macdonald Malcolm
Complex Networks 2021 (2021)
Novel concept of satellite manoeuvre planning using graph theoretical techniques
McGrath Ciara N, Clark Ruaridh A, Macdonald Malcolm
Advances in Space Research Vol 67, pp. 3775-3784 (2021)

More publications

Professional activities

Alignments in functional connectivity networks
StrathWide 2022
Eigenvector alignment: a holistic assessment of functional network changes
Eigenvector alignment: Assessing functional network changes in Alzheimer’s disease
StrathWide 2021
Sensor Correlation Networks for Damage Identification of Bridge Infrastructure

More professional activities


IAA BtG: A new window into autism spectrum disorder from space research
Clark, Ruaridh (Principal Investigator) Macdonald, Malcolm (Co-investigator) Lu, Szu-Ching (Co-investigator) Delafield-Butt, Jonathan (Principal Investigator) Macdonald, Malcolm (Co-investigator)
Impact Accelerator Account: Bridging the Gaps project.

Network and dynamical systems analysis, developed by Clark and Macdonald within EPSRC-funded research, has enabled advances in autonomous drone control, brain neuroimaging analysis, dynamical system monitoring, and most recently the design of space systems. This research provides an analytical framework for evaluating swipe patterns from a recently completed, and world leading, autism diagnostic clinical trial of 760 pre-school children.

Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting at least 700,000 individuals in the UK with an aggregate annual healthcare and support cost of at least £28 billion. Early identification, proceeded by therapeutic intervention, can produce significant, lifelong health and economic benefit. An ASD diagnosis currently requires a trained clinician, but there is a long and growing waiting list for such assessments. To meet demand, and create more accessible means of assessment, bespoke touchscreen games have been developed for early autism detection and recently trialled for children aged 3–6 years.

Touchscreen games provide a scalable alternative for detecting autism, with machine learning analysis able to detect autism with up to 93% accuracy from children’s motor patterns. Machine learning detects differences in user swipe interactions but cannot reveal the nature of these discrepancies, in particular how swipe patterns differ. By employing network analysis, we can identify – for the first time – the specific pattern signatures of autistic users, which will improve the detection of ASD and the accuracy in differentiating ASD from other neurodevelopmental disorders. We will explore how the development of children with neurodevelopmental disorders differs from their typically developed counterparts. Crucial insights that will form the basis of effective diagnosis, supporting and tailoring therapeutic interventions to address the massive economic impact of mis- or late diagnosis.
01-Jan-2022 - 01-Jan-2022
Modelling the interkingdom dynamics between microbial communities in response to climate change
BAXTER, Katherine (Co-investigator) Witte, Kimia (Co-investigator) Clark, Ruaridh (Co-investigator) Keating, Ciara (Co-investigator) Pritchard, Leighton (Co-investigator) Jimenez, Melanie (Co-investigator)
Topsoil microbial communities are key components of biogeochemical cycles and food production. This work looks to investigate the effect of elevated temperature on the dynamics of the soil microbial community from a Scottish Temperate Rainforest, and will use bioinformatics and environmental data to understand the effect of climate change on the network of microbial interactions. The project will also enhance public awareness through the creation of an interactive virtual map for schools and public display.
01-Jan-2021 - 31-Jan-2022
eXtended Satellite Production And Constellation Operations xSPANCION
Macdonald, Malcolm (Principal Investigator) McLaughlin, Graeme (Co-investigator) Clark, Ruaridh (Research Co-investigator) Lowe, Christopher (Research Co-investigator) McGrath, Ciara (Research Co-investigator)
04-Jan-2020 - 30-Jan-2023
Safe Passage – the shifting sands of the Solway Firth
McGrath, Ciara (Principal Investigator) Clark, Ruaridh (Co-investigator) Macdonald, Malcolm (Academic)
Innovation Voucher project with Creative Help Ltd to develop tidal channel mapping services using satellite imagery.
18-Jan-2020 - 12-Jan-2021
Bridge Dynamics Diagnostics through Pedestrian-Carried Smartphone Sensor Networks
Ozer, Ekin (Principal Investigator) Clark, Ruaridh (Principal Investigator)
Structural health monitoring (SHM) discipline proposes assessment solutions for structural safety empowered by sensor technologies. Traditional SHM faces fundamental challenges around time efficiency and the cost of instrumentation and workmanship. As a response to the financial and practical difficulties with up-to-date SHM techniques, this project brings together cross-disciplinary aspects; crowdsourcing, mobile sensing, and biomechanical systems for immense innovation in data collection. Specifically, we propose a citizen-engaged SHM formulation gathering data from pedestrians via carried smartphones and identifying bridge signature features despite complete freedom of pedestrian mobility, which has yet to exist in the existing literature.
19-Jan-2020 - 15-Jan-2021
Network analysis of society’s attitudes to actions that may enable UK’s net zero ambition
Alabi, Oluwafisayo Titilope (Principal Investigator) Mueller, Tanja (Principal Investigator) Clark, Ruaridh (Principal Investigator)
The UK has committed to becoming a net zero economy by 2050. The magnitude of this target presents a political economy as well as a societal challenge, requiring significant changes in how people live their lives. Our aim is to investigate the response, attitudes and preferences across society to some of the actions that may enable the UK’s transition to net zero. We address current knowledge gaps on informing and preparing society for the potential transitional impacts, with the objective to present a novel and holistic approach that can support policymakers in delivering the transition in a way that is just and fair across society.
01-Jan-2020 - 30-Jan-2021

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