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I am a Lecturer in the Department of Computer and Information Sciences, University of Strathclyde, where I am part of the Digital Health and Wellness Group. Previously I was lecturer for a couple of years at the Department of Physics and Mathematics, Nottingham Trent University, and UKRI Innovations Fellow in Medical Informatics at the Usher Institute, University of Edinburgh & 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, but also for other biological networks, like protein interaction networks and metabolic networks.

I most enjoy​:

  • working on interdisciplinary problems with a wide range of experts

  • exploring creative ways for analysing data 

  • coming up with experiments to provide novel insights into problems

  • statistical solutions for assessing significance of biomedical results

My main research interests to date include:

  • Hierarchical complexity of human brain structural and functional connectivity and its relevance in brain development​ and degeneration

  • Machine learning of brain MRI data for Major Depressive Disorder

  • Theory of biological networks

  • Theory and applications of signal processing for neuroimaging

  • Statistical complexity and generative models of networks

Selected Journal Publications:

  • Yeung HW, ..., Smith KMPredicting 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 ASResilience 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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