Ruaridh is a Research Associate in Electronic and Electrical Engineering with a research focus on network spectral analysis, consensus leadership optimisation, multi-agent systems and computational neuroscience.
His research and studies have always been closely aligned with space technology and applications. Building on past experience delivering horizon scanning for the UK Space Agency, by assessing the potential of future space technology and applications, and taking a lead in developing a sounding rocket experiment 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
- 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
- Network Analysis in Neuroscience
- Clark, Ruaridh (Principal Investigator) Nikolova, Niia (Principal Investigator)
- Network analysis methods are increasingly being applied to understand the complex systems that mediate changes in brain processes. Of particular interest are the changes in brain network dynamics arising due to disease, changes in awareness (such as hypnosis), and in perception . Networks provide a promising perspective from which light may be shed on the changing of brain states, for example investigating how brain networks are modulated by hypnosis. This approach could also lead to developments in the monitoring and treatment of patients with neuro-degenerative conditions. The emergence of brain stimulation techniques is opening avenues of treatment where key regions and pathways could be identified and strengthened or inhibited through selective stimulation.
While interest in applying network approaches to neuroscience data is increasing, the technique proposed is novel and will identify the most important brain pathways. As such, it will be critical to the outcome of the project to build a supportive community of researchers with linking expertise, in order to discuss these novel techniques and understand how it can complement existing methods.
By hosting a one-day Network Neuroscience meeting at the University of Strathclyde, we will foster such a community. The meeting will raise the visibility of the project, provide invaluable feedback and identify future collaborators.
- 11-Jan-2019 - 31-Jan-2020
- National Space Technology & Applications Horizon Scanning Activity
- Macdonald, Malcolm (Principal Investigator) Clark, Ruaridh (Co-investigator) Khan, Hina (Co-investigator) Lowe, Christopher (Co-investigator) Owens, Steven Robert (Co-investigator)
- 01-Jan-2017 - 31-Jan-2019
- EPSRC Doctoral Training Grant - DTA, University of Strathclyde | Clark, Ruaridh
- Macdonald, Malcolm (Principal Investigator) McInnes, Colin (Co-investigator) Clark, Ruaridh (Research Co-investigator)
- 01-Jan-2013 - 09-Jan-2018
Electronic and Electrical Engineering
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