Lecturer in Mathematical Data Science
Lead for Communication and Public Engagement
Mathematical Imaging, Inverse Problems, Variational Regularisation Methods, Optimisation, Deep Learning, Environmental conservation
Publications of specific relevance to the Centre for Probability, Statistics and Data ScienceExploiting facial side similarities to improve AI-driven sea turtle photo-identification systemsLearning Spatially Adaptive $\ell_1$-Norms Weights for Convolutional Synthesis Regularization
Nested Bregman Iterations for Decomposition ProblemsOverview of LifeCLEF 2025: Challenges on Species Presence Prediction and Identification, and Individual Animal IdentificationWildlifeReID-10k: Wildlife Re-Identification Dataset with 10k Individual AnimalsCreation of new flipper scales at a juvenile loggerhead sea turtle: Implications for photo-identificationFirst-Order Conditions for the Optimal Control of Learning-Informed Nonsmooth PDEsDeep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised VariationLifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal IdentificationWhy do we Regularise in Every Iteration for Imaging Inverse Problems?Deep Unrolling for Learning Optimal Spatially Varying Regularisation Parameters for Total Generalised VariationPrefaceOverview of AnimalCLEF 2025: Recognizing Individual Animals in ImagesData‐driven methods for quantitative imagingWhy do we regularise in every iteration for imaging inverse problems?Nested Bregman Iterations for Decomposition ProblemsA Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional DerivativesWildlifeReID-10k: Wildlife re-identification dataset with 10k individual animalsData-driven methods for quantitative imagingMachine Learning for Quantitative MR Image ReconstructionWildlifeDatasets: An open-source toolkit for animal re-identificationLearning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm UnrollingWildlifeDatasets: An open-source toolkit for animal re-identificationSeaTurtleID2022: A long-span dataset for reliable sea turtle re-identificationCNN-based Estimation of Spatio-Temporal Regularization Parameter-Maps for TV-Reconstruction in Dynamic Cardiac MRIUnrolled three-operator splitting for parameter-map learning in Low Dose X-ray CT reconstructionLearning Regularization Parameter-Maps for Variational Image Reconstruction using Deep Neural Networks and Algorithm UnrollingA social media-based framework for quantifying temporal changes to wildlife viewing intensitySeaTurtleID2022: A long-span dataset for reliable sea turtle re-identificationA descent algorithm for the optimal control of ReLU neural network informed PDEs based on approximate directional derivativesBilevel Training Schemes in Imaging for Total Variation--Type Functionals with Convex IntegrandsMore aggressive sea turtles win fights over foraging resources independent of body size and years of presenceFirst-order conditions for the optimal control of learning-informed nonsmooth PDEsDualization and Automatic Distributed Parameter Selection of Total Generalized Variation via Bilevel OptimizationPhoto-identification confirms polyandry in loggerhead sea turtlesOptimization with learning-informed differential equation constraints and its applicationsBilevel training schemes in imaging for total-variation-type functionals with convex integrandsVariable Step Mollifiers and ApplicationsSocial media reveals consistently disproportionate tourism pressure on a threatened marine vertebrateOptimization with learning-informed differential equation constraints and its applicationsDualization and Automatic Distributed Parameter Selection of Total Generalized Variation via Bilevel OptimizationPatch-Wise Adaptive Weights Smoothing in RAnalysis and automatic parameter selection of a variational model for mixed Gaussian and salt-and-pepper noise removalQuantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based ModelsChapter 11 Generating structured nonsmooth priors and associated primal-dual methodsQuantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based ModelsAnalysis and optimisation of a variational model for mixed Gaussian and Salt & Pepper noise removalA function space framework for structural total variation regularization with applications in inverse problemsComplex movement patterns by foraging loggerhead sea turtles outside the breeding season identified using Argos-linked Fastloc-Global Positioning SystemA function space framework for structural total variation regularization with applications in inverse problemsAnalytical aspects of spatially adapted total variation regularisationAerial and underwater surveys reveal temporal variation in cleaning-station use by sea turtles at a temperate breeding areaAnalytical aspects of spatially adapted total variation regularisationInfimal Convolution Regularisation Functionals of BV and Lp SpacesInfimal Convolution Regularisation Functionals of and Spaces. The CaseAsymptotic behaviour of total generalised variationAsymptotic Behaviour of Total Generalised VariationA study of the one dimensional total generalised variation regularisation problemAnalysis and Application of a Nonlocal HessianAnalysis and Application of a non-local HessianA study of the one dimensional total generalised variation
regularisation problemA Combined First and Second Order Variational Approach for Image ReconstructionA combined first and second order variational approach for image
reconstructionMachine Learning for Quantitative Magnetic Resonance Image ReconstructionExploiting facial side similarities to improve AI-driven sea turtle photo-identification systemsSea Turtle Photo Identification: A Practical GuideLong-term photo-id and satellite tracking reveal sex-biased survival linked to movements in an endangered species.Social media reveals consistently disproportionate tourism pressure on a threatened marine vertebrateA social media-based framework for quantifying temporal changes to wildlife viewing intensity: Case study of sea turtles before and during COVID-19Social media mining and photo-identification detects the shift of long-term seasonal foraging habitat for a juvenile loggerhead sea turtleUnderreported in-water behaviours of the loggerhead sea turtle: Getting buried in the sandUnderreported in-water behaviours of the loggerhead sea turtle: Foraging on sea cucumbersSeaTurtleID2022: A long-span dataset for reliable sea turtle re-identificationGrants of specific relevance to the Centre for Probability, Statistics and Data ScienceEPSRC additional skills funding summer 2025
Summer is typically a period where many conferences take place keeping academics busy. From organising events to giving talks to conferences, members of the Centre were active during the 2025 summer, presenting their research and networking with the UK and the international community. Natasha Blitvic was an invited plenary speaker at ... [more]
With the help of a QMUL Centre for Public Engagement Large grant, Kostas Papafitsoros recently launched the first of its kind wildlife photo-ID game "TurtleTurtle". The users can play endlessly trying to match sea turtle faces exploiting their unique facial scale patterns. The game draws data from the SeaTurtleID2022 dataset ... [more]
