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.
- Neuroscience and Complex Systems Networking Event
- Network Influence based Classification and Comparison of Neurological Conditions
- Using Networks for Constellation Responsiveness, Resilience, and Data Routing
More professional activities
- 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).
- 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
Electronic and Electrical Engineering
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