Dr Ruaridh Clark

Research Associate

Electronic and Electrical Engineering

Personal statement

Ruaridh is a 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's is also 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.  

Publications

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)
https://doi.org/10.1016/j.asr.2020.06.008
Synchronous intercept strategies for a robotic defense-intrusion game with two defenders
Zhang Shuai, Liu Mingyong, Lei Xiaokang, Yang Panpan, Huang Yunke, Clark Ruaridh
Autonomous Robots Vol 45, pp. 15–30 (2021)
https://doi.org/10.1007/s10514-020-09945-6
Identification of effective spreaders in contact networks using dynamical influence
Clark Ruaridh A, Macdonald Malcolm
Applied Network Science Vol 6 (2021)
https://doi.org/10.1007/s41109-021-00351-0
Frequency-dependent strategy selection in a hunting game with a finite population
Zhang Shuai, Clark Ruaridh, Huang Yunke
Applied Mathematics and Computation Vol 382 (2020)
https://doi.org/10.1016/j.amc.2020.125355
Mapping of shifting tidal estuaries to support inshore rescue
McGrath Ciara N, Clark Ruaridh A, Ilioudis Christos, Gibbons Gwilym, McKee David, Clemente Carmine, Macdonald Malcolm
SPIE Remote Sensing, 2020 (2020)
https://doi.org/10.1117/12.2567414
Eigenvector alignment : assessing functional network changes in amnestic mild cognitive impairment and Alzheimer's disease
Clark Ruaridh A, Nikolova Niia, McGeown William J, Macdonald Malcolm
PLOS One Vol 15 (2020)
https://doi.org/10.1371/journal.pone.0231294

More publications

Professional activities

Neuroscience and Complex Systems Networking Event
Organiser
9/3/2020
Network Influence based Classification and Comparison of Neurological Conditions
Speaker
4/10/2019
Using Networks for Constellation Responsiveness, Resilience, and Data Routing
Speaker
16/7/2019

More professional activities

Projects

eXtended Satellite Production And Constellation Operations
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 - 03-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
Novel electrophysiological markers for the early detection of Alzheimer´s disease
Parra Rodriguez, Mario (Principal Investigator) Clark, Ruaridh (Co-investigator) Escudero, Javier (Co-investigator) Smith, Keith (Co-investigator)
I have set up a new collaboration between the University of Strathclyde, University of Edinburgh and Latin America (Dr Ruaridh Clark, Research Associate from our Electronic and Electrical Engineering department of our Faculty of Engineering, Dr Javier Escudero from the Digital Communications Research Institute at Edinburgh University and Dr Keith Smith from the Usher Institute at Edinburgh University). We will apply novel brain network approaches to data collected in labs from our UK- Latin American Brain Connectivity Research Network (UL-BCRN).
20-Jan-2020
A Novel Measure of Individual Influence in Social Media Networks
Clark, Ruaridh (Principal Investigator) Egan, Kieren (Principal Investigator) Bowden, James (Co-investigator)
We plan to model influence within social media networks using methods employed in engineering and network science. In doing so, we can potentially reduce the impact of noise interactions which have typically affected studies testing for causal relationships between social media and external factors. For example, this sophisticated approach to influence detection can provide a new method for weighting online sentiment, collected from Twitter, from which relationships with financial market activity, political events, and healthcare policy may be tested.
In particular, we use financial time series to test the predictive power of our influence-weighted social media sentiment. Although previous studies in academic finance have investigated the extent to which online interactions between investors can affect financial trading activity, the findings of such studies are often accompanied by high error terms and thus no consensus has been reached. Our measure may provide a solution to this issue, while also offering a methodological contribution that is of interest to academics in computer science.
11-Jan-2019 - 31-Jan-2020

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