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Welcome

I am a lecturer in statistics and applied mathematics at the Department of Physics and Mathematics at Nottingham Trent University. Previously, I was a 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.

 

I am interested in how complex systems develop heterogeneous functionality and how these disparate functions are then integrated into a coherent whole. Particularly, my work focuses on new paradigms to gain deeper insights into human brain structure and function as well as protein-protein interaction networks.

My foremost expertise is network science. Network science is a prominent multidisciplinary field. It is how we map complex systems and what those maps tell us. In this way, the work of a network scientist is a constant feedback loop between the theory of abstract representations of networks (or graphs) and the actual systems themselves. My view is to never lose sight of two things:

i) the mathematical space of constraints and possibilities for the arrangement of network architectures 

ii) The living, breathing, mechanisms behind these imperfect and rigid representations 

In this way I hope not to get bogged down in theoretical dead ends nor in superficial descriptions of data. I always strive to understand things from first principles. I am also experienced in biomedical signal processing, statistical methodology and algorithm development. 

I am an amateur enthusiast of contemplation, classical antiquity, philosophy, snooker, the music of Bach, the intellectual culture of ancient Greece, the political influence of 1st century BC Rome, the revolutionary physics of the 20th century, and Zen.

Collaborate

I collaborate closely with medical imaging specialists, bioinformaticians and health data scientists within the University of Edinburgh (Centre for Clinical Brain Sciences, MRC Centre for Reproductive Health, Centre for Cognitive Ageing and Cognitive Epidemiology, Edinburgh Bioinformatics, Usher Institute). I am also involved in international collaborations spanning several universities (Munster University, Northeastern University, Santa Fe Institute, Oxford University, Okinawa Institute of Technology). If you are interested in what I do, get in touch.

Discover

Journal Publications: 

  • 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, in press (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]

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

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

  • Smith KMOn Neighbourhood Degree Sequences of Complex Networks. Scientific Reports9: 8340 (2019). [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] 

  • 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]

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

Pre-prints:

  • Klein B, Holmer L, Smith KM, Johnson MM, Swain A, Stolp L, Teufel AI, Kleppe ASResilience and Evolvability of Protein-Protein Interaction Networks. Under revision (Jun. 2020). [pre-print]

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 networksNetworks 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 KMValdes 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]

* equal contribution

 joint corresponding author