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Welcome

I am a Lecturer in the Department of Computer and Information Sciences, University of Strathclyde. Previously I was lecturer at the Department of Physics and Mathematics,Nottingham Trent University, and UKRI Innovations Fellow in Medical Informatics at the Usher Institute, University of Edinburgh, and Health Data Research UK. My PhD was in biomedical signal processing at IDCOM, University of Edinburgh.

 

My work focuses on the development and application of computational tools for the analysis of biomedical data, particularly for neuroimaging data of human brain structure and function. I am also interested in the theory of biological networks, particularly protein-protein interaction networks. I am experienced in biomedical signal processing, statistical methodology and applied mathematics.

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My main research interests to date include:

 

  • Hierarchical complexity of human brain structure and function

  • Machine learning of brain MRI data with applications to Major Depressive Disorder

  • Theory of biological networks

  • Theory and applications of signal processing for neuroimaging

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Selected Journal Publications:

  • Yeung HW, ..., Smith KM, Predicting Sex, Age, General Cognition, and Mental Health with Machine Learning on Brain Structural Connectomes. Human Brain Mapping, doi:10.1002/hbm.26182 (2023)  [link]

  • Klein B†, Holmer L, Smith KM†, Johnson MM, Swain A, Stolp L, Teufel AI, Kleppe AS†, Resilience and Evolvability of Protein-Protein Interaction Networks. Communications Biology,  4: 1352 (2021)  [link]

  • Smith KM, Explaining the Emergence of Complex Networks through Log-Normal Fitness in a Euclidean Node Similarity Space. Scientific Reports, 11: 1976 (2021). [link]

  • Blesa M, Galdi P, ..., Smith KM*, Boardman JP*, Hierarchical Complexity of the Macro-scale Neonatal Brain. Cerebral Cortex, 31(4): 2071-2084 (2021). [link]

  • Smith KM, Bastin ME, Cox SR, Valdes-Hernandez M, Wiseman S, Escudero J, Sudlow C, Hierarchical Complexity of the Adult Human Structural Connectome. NeuroImage, 191: 205-215 (2019). [link] 

  • Smith KM, Spyrou L, Escudero J, Graph-Variate Signal Analysis. IEEE Transactions on Signal Processing, 67(2): 293-305 (2019). [link]

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More Journal Publications: ​

  • Clarke R, Smith KM, Escudero J, Ibañez A, Parra MA, Robust assessment of EEG connectivity patterns in mild cognitive impairment and Alzheimer's disease. Frontiers in Neuroimaging, 1, https://doi.org/10.3389/fnimg.2022.924811 (2022). [link]

  • Smith KM, Starr JM, Escudero J, Ibañez A, Parra MA, Abnormal Functional Hierarchies of EEG Networks in Familial and Sporadic Prodromal Alzheimer's Disease During Visual Short-Term Memory Binding. Frontiers in Neuroimaging, 1, https://doi.org/10.3389/fnimg.2022.883968 (2022). [link]

  • Yeung HW, Shen X,..., Smith KM, Whalley H,  Spectral Clustering Based on Structural Magnetic Resonance Imaging and its Relationship with Major Depressive Disorder and Cognitive Ability. European Journal of Neuroscience, 54(6): 6281-6303 (2021). [link]

  • Zhang H, Ferguson A ,..., Smith KM, Rannikmae K, Wu H,  Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Briefings in Bioinformatics, bbab006 (2021). [link]

  • Valdes- Hernandez M, Smith KM, Bastin ME,  Amft N, Ralston SH, Wardlaw JM, Wiseman SJ Brain Network Reorganisation and Spatial Legion Distribution in Systemic Lupus Erythematosus. Lupus, 30(2): 285-298 (2021). [link]

  • Smith KM, Escudero J, Normalised Degree Variance. Applied Network Science, 5: 32 (2020). [link]

  • Smith KM, On Neighbourhood Degree Sequences of Complex Networks. Scientific Reports, 9: 8340 (2019). [link]

  • Tan C, Shen Y, Smith KM, Dong F, Escudero J, Gas-liquid Flow Pattern Analysis Based on Graph Connectivity and Graph-Variate Dynamic (GVD) Connectivity of ERT.  IEEE Transactions on Instrumentation and Measurement, 68(5): 1590-1601 (2019). [link]

  • Quintero-Zea A, Lopez JD, Smith KM, Trujillo N, Parra MA, Escudero, J., Phenotyping Ex-Combatants from EEG Scalp Connectivity. IEEE Access, 6: 55090-55098 (2018). [link]

  • Smith KM, Abasolo D, Escudero J, Accounting for the Complex Hierarchical Topology of EEG Phase-Based Functional Connectivity in Network Binarisation. PLOS ONE,  12(10): e0186164 (2017). [link]

  • Smith KM, et al., Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy. Scientific Reports,  7: 42013 (2017). [link]

  • Smith KM, Escudero J, The Complex Hierarchical Topology of EEG Functional Connectivity. Journal of Neuroscience Methods,  276: 1-12 (2017). [link]

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Conference papers and abstracts:

  • Francis F, Blesa M, Smith KM, Luz S, Structural Connectome and Machine Learning for Alzheimer's Disease Detection. AAIC 2021, poster presentation (2021)

  • Yeung HW, Kafetzaki D, Swain A, Fagan WF, Daems D, Smith KM, The role of attractive and repulsive forces in generating stability on latent space social networks. Networks 2021, oral presentation (2021)

  • Yeung HW, Luz, S, Cox SR, Buchanan C, Whalley H, Smith KM, Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3,152 participants. EMBC 2020 (2020) [link]

  • Yeung HW, Shen, X, …, Smith KM, Whalley H, Clustering based on sMRI and relationships with cognition, personality traits and depression. OHBM 2020 (2020)

  • Blesa M, Galdi P, ..., Smith KM*, Boardman JP*, Hierarchical complexity of the neonatal brain. ISMRM 2020 (2020)

  • Valdes-Hernandez M, Smith KM, Makin S, Armitage P, Gattringer T, Sudlow C, Escudero J, Wardlaw J, Spatio-temporal topology of the post-contrast signal enhancement in normal-appearing white matter 1-3 months post-stroke. Poster at European Stroke Organisation Conference 2019, Milan (2019) [link]

  • Smith KM, Valdes Hernandez M, Makin S, Armitage P, Sudlow C, Escudero J, Wardlaw J, Graph-variate signal analysis for detecting spatio-temporal correlates of the enhanced signal in normal-appearing white matter one month after a mild stroke. Oral presentation at Digital Image and Signal Processing 2019, Oxford (2019) [link]

  • Shen Y, Tan C, Dong F, Smith KM, Escudero J, Gas-water two-phase flow pattern recognition based on ERT and ultrasound Doppler. IEEE I2MTC 2018, Houston (2018) [link]

  • Smith KM, Escudero J, Weighted Complex Modular Hierarchy Model. Poster at Complex Networks, Book of Abstracts: 18-20, Milan (2016) [link]

  • Smith KM, Abasalo D, Escudero J, A comparison of the cluster-span threshold and the union of shortest paths as objective thresholds of EEG functional connectivity networks from Beta activity in Alzheimer's disease. Oral presentation at IEEE EMBC 2016, Florida (2016) [link]

  • Escudero J*, Smith KM*, Azami H, Abasalo D, Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease. Oral presentation at IEEE EMBC 2016, Florida (2016) [link]

  • Smith KM, Escudero J, Distinguishing EEG activity in Visual Short-Term Memory Tasks using Modular Dirichlet Energy. Poster at OHBM 2016 Annual Meeting, 2086, Geneva (2016) [link]

  • Smith KM, Azami H, Parra MA, Starr JM, Escudero J, Cluster-span threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis. Poster at IEEE EMBC 2015, Milan (2015) [link]

  • Smith KM, Azami H, Parra MA, Escudero J, Starr JM,  Comparison of network analysis approaches on EEG connectivity in beta during Visual Short-term Memory binding tasks. Oral presentation at IEEE EMBC 2015, Milan (2015) [link]

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* equal contribution

† joint corresponding author

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