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Dr Enrico Camporeale

Enrico

Senior Lecturer in Digital Environment

Email: enrico.camporeale@qmul.ac.uk
Room Number: G. O. Jones Building, Room 517
Website: https://ecamporeale.github.io/

Profile

My work lives at the boundary between machine learning, computational physics and space physics. I develop and use a variety of models that range from black-box machine learning algorithms to data-driven simulations. The goals of my studies encompass both fundamental physics and forecasting applications.

Teaching

Teaching overview

SPA 4131 - Introduction to Data Science

Research

Research Interests:

Research

  • Machine learning for space weather
  • Data-driven discovery of space physics
  • Uncertainty quantification and uncertainty-aware AI
  • Ensemble methods and out of distribution generalization
  • Physics-based scientific Machine Learning
  • Interpretable AI

Publications

  • Hu A, Camporeale E, Lucas G et al. (2024). LiveWire: Horizontal Geoelectric Field Prediction With 1‐hr Lead‐Time Using Multi‐Fidelity Boosted Neural Networks. nameOfConference


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  • Masson A, Fung SF, Camporeale E et al. (2024). Heliophysics and space weather information architecture and innovative solutions: current status and ways forward. nameOfConference


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  • Mugatwala R, Chierichini S, Francisco G et al. (2024). A catalogue of observed geo-effective CME/ICME characteristics. nameOfConference


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  • Camporeale E, Marino R, Board TE (2024). Our Vision for JGR: Machine Learning and Computation. nameOfConference


  • Hu A, Camporeale E (publicationYear). A New Machine Learning Approach for Predicting Extreme Space Weather. nameOfConference


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  • Camporeale E (publicationYear). Data-Driven Discovery of Fokker-Planck Equation for the Earth's Radiation Belts Electrons Using Physics-Informed Neural Networks. nameOfConference


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  • Foldes R, Camporeale E, Marino R (2024). Low-dimensional representation of intermittent geophysical turbulence with high-order statistics-informed neural networks (H-SiNN). nameOfConference


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  • Chierichini S, Francisco G, Mugatwala R et al. (2024). A Bayesian approach to the drag-based modelling of ICMEs. nameOfConference


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  • Georgoulis MK, Yardley SL, Guerra JA et al. (2024). Prediction of Solar Energetic Events Impacting Space Weather Conditions. nameOfConference


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  • Camporeale E, Hu A, Lucas G et al. (2024). Space Weather Modeling at the University of Colorado Deep Learning Laboratory. 2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)


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  • Camporeale E (publicationYear). Artificial Intelligence for Space Weather Forecasting. nameOfConference


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  • Issan O, Riley P, Camporeale E et al. (2023). Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction. nameOfConference


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  • Sitnov M, Argall M, Arnold H et al. (publicationYear). Artificial Intelligence to Enhance Mission Science Output for In-situ Observations: Sparse Data Challenge and Gray-Box Models. nameOfConference


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  • Mugatwala R, Francisco G, Chierichini S et al. (publicationYear). A revised Database of CME characteristics from in-situ and remote observations. nameOfConference


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  • Camporeale E, Hu A (publicationYear). Physics-informed Machine Learning prediction of ambient solar wind speed. nameOfConference


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  • Hu A, Camporeale E, Swiger B (2023). Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity Boosted Neural Networks. nameOfConference


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  • Chen Y, Maloney S, Camporeale E et al. (publicationYear). Editorial: Machine learning and statistical methods for solar flare prediction. nameOfConference


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  • Hua M, Bortnik J, Kellerman AC et al. (2023). Ensemble Modeling of Radiation Belt Electron Acceleration by Chorus Waves: Dependence on Key Input Parameters. nameOfConference


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  • Alielden K, Camporeale E, Korsós MB et al. (2023). Prediction Interval of Interface Regions: Machine Learning Nowcasting Approach. nameOfConference


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  • Camporeale E (2023). Using Unsupervised Machine Learning to make new discoveries in space data. nameOfConference


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  • Napoletano G, Foldes R, Camporeale E et al. (2022). Parameter Distributions for the Drag‐Based Modeling of CME Propagation. nameOfConference


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  • Iong D, Chen Y, Toth G et al. (2022). New Findings From Explainable SYM‐H Forecasting Using Gradient Boosting Machines. nameOfConference


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  • Hu A, Shneider C, Tiwari A et al. (2022). Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using Full‐Disk SoHO Images. nameOfConference


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  • Hua M, Bortnik J, Kellerman AC et al. (2022). Ensemble Modeling of Radiation Belt Electron Flux Decay Following a Geomagnetic Storm: Dependence on Key Input Parameters. nameOfConference


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  • Camporeale E, Wilkie GJ, Drozdov AY et al. (2022). Data‐Driven Discovery of Fokker‐Planck Equation for the Earth's Radiation Belts Electrons Using Physics‐Informed Neural Networks. nameOfConference


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  • Ripoll J-F, Kluth G, Has S et al. (2022). Exploring pitch-angle diffusion during high speed streams with neural networks. 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)


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  • Kluth G, Ripoll J-F, Has S et al. (publicationYear). Machine Learning Methods Applied to the Global Modeling of Event-Driven Pitch Angle Diffusion Coefficients During High Speed Streams. nameOfConference


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  • Tiwari A, Camporeale E, Del Moro D et al. (publicationYear). CME-learn: An interactive playground to benchmark CME databases for the time of arrival (ToA) prediction for using machine learning methods.. nameOfConference


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  • Foldes R, Cerri SS, Marino R et al. (publicationYear). Local energy release by extreme vertical drafts in stratified geophysical flows. nameOfConference


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  • McGranaghan RM, Camporeale E, Georgoulis M et al. (2021). Space Weather research in the Digital Age and across the full data lifecycle: Introduction to the Topical Issue. nameOfConference


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  • Feraco F, Marino R, Primavera L et al. (2021). Connecting large-scale velocity and temperature bursts with small-scale intermittency in stratified turbulence. nameOfConference


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  • Bortnik J, Camporeale E (2021). Ten Ways to Apply Machine Learning in Earth and Space Sciences. nameOfConference


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  • McGranaghan RM, Ziegler J, Bloch T et al. (2021). Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress). nameOfConference


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  • Napoletano G, Foldes R, Berrilli F et al. (publicationYear). Investigating the drag-based model parameters through statistical methods. nameOfConference


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  • Tiwari A, Camporeale E, Teunissen J et al. (publicationYear). Predicting arrival time for CMEs: Machine learning and ensemble methods. nameOfConference


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  • Camporeale E, Carè A (2021). ACCRUE: ACCURATE AND RELIABLE UNCERTAINTY ESTIMATE IN DETERMINISTIC MODELS. nameOfConference


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  • Camporeale E, Cash MD, Singer HJ et al. (2020). A Gray‐Box Model for a Probabilistic Estimate of Regional Ground Magnetic Perturbations: Enhancing the NOAA Operational Geospace Model With Machine Learning. nameOfConference


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  • Hu A, Sisti M, Finelli F et al. (2020). Identifying Magnetic Reconnection in 2D Hybrid Vlasov Maxwell Simulations with Convolutional Neural Networks. nameOfConference


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  • Cerri SS, Camporeale E (2020). Space-filter techniques for quasi-neutral hybrid-kinetic models. nameOfConference


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  • Sarma R, Chandorkar M, Zhelavskaya I et al. (2020). Bayesian Inference of Quasi‐Linear Radial Diffusion Parameters using Van Allen Probes. nameOfConference


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  • Camporeale E, Committee of ML‐Helio TSO (2020). ML‐Helio: An Emerging Community at the Intersection Between Heliophysics and Machine Learning. nameOfConference


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  • Proverbio AM, Camporeale E, Brusa A (publicationYear). Multimodal Recognition of Emotions in Music and Facial Expressions. nameOfConference


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  • Chandorkar M, Furtlehner C, Poduval B et al. (2020). DYNAMIC TIME LAG REGRESSION: PREDICTING WHAT & WHEN. nameOfConference

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  • Pezzi O, Cozzani G, Califano F et al. (2019). ViDA: a Vlasov–DArwin solver for plasma physics at electron scales. nameOfConference


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  • Camporeale E (2019). The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting. nameOfConference


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  • Pezzi O, Valentini F, Servidio S et al. (2019). Fourier–Hermite decomposition of the collisional Vlasov–Maxwell system: implications for the velocity-space cascade. nameOfConference


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  • Camporeale E, Chu X, Agapitov OV et al. (2019). On the Generation of Probabilistic Forecasts From Deterministic Models. nameOfConference


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  • Gruet MA, Chandorkar M, Sicard A et al. (2018). Multiple‐Hour‐Ahead Forecast of the Dst Index Using a Combination of Long Short‐Term Memory Neural Network and Gaussian Process. nameOfConference


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  • Camporeale E, Wing S, Johnson J (2018). Space Weather in the Machine Learning Era. nameOfConference


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  • Johnson JR, Wing S, Camporeale E (publicationYear). Transfer entropy and cumulant-based cost as measures of nonlinear causal relationships in space plasmas: applications to Dst. nameOfConference


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  • Camporeale E, Sorriso-Valvo L, Califano F et al. (2018). Coherent Structures and Spectral Energy Transfer in Turbulent Plasma: A Space-Filter Approach. nameOfConference


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  • Camporeale E, Wing S, Johnson J et al. (2018). Space Weather in the Machine Learning Era: A Multidisciplinary Approach. nameOfConference


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  • Carè A, Camporeale E (2018). Chapter 4 Regression. nameOfConference


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  • Wing S, Johnson JR, Camporeale E et al. (2018). Chapter 6 Untangling the Solar Wind Drivers of the Radiation Belt: An Information Theoretical Approach. nameOfConference


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  • Chandorkar M, Camporeale E (2018). Chapter 9 Probabilistic Forecasting of Geomagnetic Indices Using Gaussian Process Models. nameOfConference


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  • Camporeale E, Wing S, Johnson JR (2018). Introduction. nameOfConference


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  • Camporeale E, Wing S, Johnson JR (2018). Machine learning techniques for space weather. nameOfConference


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  • Camporeale E, Carè A, Borovsky JE (2017). Classification of Solar Wind With Machine Learning. nameOfConference


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  • Wing S, Johnson JR, Camporeale E (2017). Dawn‐Dusk Asymmetries in the Auroral Particle Precipitation and Their Modulations by Substorms. nameOfConference


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  • Chandorkar M, Camporeale E, Wing S (2017). Probabilistic forecasting of the disturbance storm time index: An autoregressive Gaussian process approach. nameOfConference


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  • Camporeale E, Tronci C (2017). Electron inertia and quasi-neutrality in the Weibel instability. nameOfConference


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  • Camporeale E, Burgess D (2017). Comparison of linear modes in kinetic plasma models. nameOfConference


  • Camporeale E, Agnihotri A, Rutjes C (2017). ADAPTIVE SELECTION OF SAMPLING POINTS FOR UNCERTAINTY QUANTIFICATION. nameOfConference


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  • Camporeale E, Shprits Y, Chandorkar M et al. (2016). On the propagation of uncertainties in radiation belt simulations. nameOfConference


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  • Wing S, Johnson JR, Camporeale E et al. (2016). Information theoretical approach to discovering solar wind drivers of the outer radiation belt. nameOfConference


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  • Vaivads A, Retino A, Soucek J et al. (2016). Turbulence Heating Observer - Satellite Mission Proposal. nameOfConference


  • Pezzi O, Camporeale E, Valentini F (2016). Collisional effects on the numerical recurrence in Vlasov-Poisson simulations. nameOfConference


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  • Camporeale E, Delzanno GL, Bergen BK et al. (2016). On the velocity space discretization for the Vlasov–Poisson system: Comparison between implicit Hermite spectral and Particle-in-Cell methods. nameOfConference


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  • Camporeale E, Zimbardo G (2015). Wave-particle interactions with parallel whistler waves: Nonlinear and time-dependent effects revealed by particle-in-cell simulations. nameOfConference


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  • Camporeale E (2015). Resonant and nonresonant whistlers‐particle interaction in the radiation belts. nameOfConference


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  • Camporeale E, Hogan EA, MacDonald EA (publicationYear). Approximate semi-analytical solutions for the steady-state expansion of a contactor plasma. nameOfConference


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  • Tronci C, Camporeale E (2015). Neutral Vlasov kinetic theory of magnetized plasmas. nameOfConference


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  • Haynes CT, Burgess D, Camporeale E et al. (2015). Electron vortex magnetic holes: A nonlinear coherent plasma structure. nameOfConference


  • Camporeale E (2015). Internal american visions of the italian Renaissance: from the Gilded Age to the Twenties. nameOfConference

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  • Vásconez CL, Valentini F, Camporeale E et al. (2014). Vlasov simulations of kinetic Alfvén waves at proton kinetic scales. nameOfConference


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  • Tronci C, Tassi E, Camporeale E et al. (2014). Hybrid Vlasov-MHD models: Hamiltonian vs. non-Hamiltonian. nameOfConference


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  • Haynes CT, Burgess D, Camporeale E (2014). RECONNECTION AND ELECTRON TEMPERATURE ANISOTROPY IN SUB-PROTON SCALE PLASMA TURBULENCE. nameOfConference


  • Camporeale E, Delzanno GL, Zaharia S et al. (2013). Reply to comment by J. M. Albert on “On the numerical simulation of particle dynamics in the radiation belt. Part I: Implicit and semi‐implicit schemes” and “On the numerical simulation of particle dynamics in the radiation belt. Part II: Procedure based on the diagonalization of the diffusion tensor”. nameOfConference


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  • Delzanno GL, Camporeale E, Moulton JD et al. (2013). CPIC: A Curvilinear Particle-in-Cell Code for Plasma–Material Interaction Studies. nameOfConference


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  • Delzanno GL, Camporeale E (2013). On particle movers in cylindrical geometry for Particle-In-Cell simulations. nameOfConference


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  • Tu W, Cunningham GS, Chen Y et al. (2013). Modeling radiation belt electron dynamics during GEM challenge intervals with the DREAM3D diffusion model. nameOfConference


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  • Camporeale E, Delzanno GL, Zaharia S et al. (2013). On the numerical simulation of particle dynamics in the radiation belt: 1. Implicit and semi‐implicit schemes. nameOfConference


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  • Camporeale E, Delzanno GL, Zaharia S et al. (2013). On the numerical simulation of particle dynamics in the radiation belt: 2. Procedure based on the diagonalization of the diffusion tensor. nameOfConference


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  • Camporeale E, Delzanno GL, Colestock P (2012). Lower hybrid to whistler mode conversion on a density striation. nameOfConference


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  • Welling DT, Koller J, Camporeale E (publicationYear). Verification of SpacePy's radial diffusion radiation belt model. nameOfConference


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  • Camporeale E, Burgess D (2011). THE DISSIPATION OF SOLAR WIND TURBULENT FLUCTUATIONS AT ELECTRON SCALES (vol 730, pg 114, 2011). nameOfConference


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  • Camporeale E (2012). Nonmodal Linear Theory for Space Plasmas. nameOfConference


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  • Camporeale E, Burgess D (2011). THE DISSIPATION OF SOLAR WIND TURBULENT FLUCTUATIONS AT ELECTRON SCALES. nameOfConference


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  • Camporeale E (2011). Nonmodal Linear Theory for Space Plasmas. nameOfConference


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  • Camporeale E, Passot T, Burgess D (2010). IMPLICATIONS OF A NON-MODAL LINEAR THEORY FOR THE MARGINAL STABILITY STATE AND THE DISSIPATION OF FLUCTUATIONS IN THE SOLAR WIND. nameOfConference


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  • Camporeale E, Burgess D (2010). ELECTRON TEMPERATURE ANISOTROPY IN AN EXPANDING PLASMA: PARTICLE-IN-CELL SIMULATIONS. nameOfConference


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  • Camporeale E, Burgess D, Passot T (2009). Transient growth in stable collisionless plasma. nameOfConference


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  • Markidis S, Camporeale E, Burgess D et al. (2009). Parsek2D: An Implicit Parallel Particle-in-Cell Code. nameOfConference

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  • Camporeale E, Burgess D (2008). Electron firehose instability: Kinetic linear theory and two-dimensional particle-in-cell simulations. nameOfConference


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  • Camporeale E, Delzanno GL, Lapenta G et al. (2006). New approach for the study of linear Vlasov stability of inhomogeneous systems. nameOfConference


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  • Camporeale E, Lapenta G (2005). Model of bifurcated current sheets in the Earth's magnetotail: Equilibrium and stability. nameOfConference


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  • Camporeale E (2002). Telling Time in Florence Cathedral: the Frescoed Clock by Paolo Uccello and Coeval Tuscan Public Clocks. nameOfConference


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