Data-Centric Engineering
@DCE_Journal
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Data-Centric Engineering, a new #openaccess journal at the interface of engineering and data science. Published by @CambridgeUP and supported by @LR_Foundation.
Cambridge, UK
Joined June 2019
@DCE_journal is continuing to work with @CassyniSeminars on live Data-Centric Engineering webinar events and to host prerecorded talks with authors about their published papers. Watch this space for more info on upcoming events!.
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Check out this recording of Dr Matthew Yoko (@Cambridge_Uni) discussing his manuscript 'Optimal experiment design with adjoint-accelerated Bayesian inference'. 🎥📖 #data #informationtheory.
cambridge.org
Optimal experiment design with adjoint-accelerated Bayesian inference - Volume 5
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For articles in DCE that derive from 2023 and 2024 editions of the conference, see the special collection on Systems for Energy-Efficient Buildings, Cities, and Transportation:
cambridge.org
Systems for Energy-Efficient Buildings, Cities, and Transportation Partnership with ACM BuildSys
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🤝 Partnership: #BuildSys2025. DCE is the fast-track partner for #engineering papers accepted in ACM BuildSys2025, taking place in Nov in Golden, CO, USA. 👉CFP: 🗓️ Deadline: 1 Aug 2025. Consider submitting your work! #Smart #Energy #Buildings #Transport.
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There's still time to register for our webinar on Real-time digital twins: unifying bias-aware data assimilation and machine learning with Dr Andrea Nóvoa (@imperialcollege). Don't miss out, click to register!. 🗓️28 July 2025.⏰3PM BST.ℹ️ #digitaltwins
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New article!. Open energy services: forecasting and optimization as a service for energy management applications at scale. 👉 By David Wölfle, Kevin Förderer, Tobias Riedel, Natascha Fernengel, Lukas Landwich, @MikutRalf, Veit Hagenmeyer & Hartmut Schmeck
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Join our webinar on Real-time digital twins: unifying bias-aware data assimilation and machine learning . Join Dr Andrea Nóvoa (@imperialcollege) to learn more about a new paradigm in real-time digital twins. 🗓️28 July 2025.⏰3PM BST.ℹ️ #digitaltwins
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New article!. Physics-constrained machine learning for reduced composition space chemical kinetics. 👉 By Anuj Kumar and Tarek Echekki (@NCState). #MachineLearning #SurrogateModeling #ChemistryAcceleration
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New article!. A novel machine learning-based approach to thermal integrity profiling of concrete pile foundations. 👉 By Javier Sánchez Fernández, Agustín Ruiz López and David M.G. Taborda (@imperialcollege, @Seequentglobal). #MachineLearning
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Recently published!. Bayesian optimization of underground railway tunnels using a surrogate model. 👉 By Hassan Liravi, Hoang-Giang Bui, Sakdirat Kaewunruen, Aires Colaço & @ninic_jelena (@unibirmingham, @UPorto). #surrogatemodel #optimisation
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New article!. Office-in-the-Loop: an investigation into Agentic AI for advanced building HVAC control systems. 👉 By Tomoya Sawada, Masahiro Mizuno, Takaomi Hasegawa, Keiichi Yokoyama & Mayuka Kono . @NAIST_MAIN_EN #HVAC #AI #generativeAI #smartbuildings
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New article!. Development, verification, and certification of a digital twin for a voyage data recorder. 👉 By Nikolaos Stavrou, Joseph Morelos, @Domenic_DF, Apostolos Meliones, Pavlos Progias and Duffy Duncan. @turinginst #digitaltwins #maritimesafety
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New article!. Probabilistic digital twins for geotechnical design and construction. 👉 By Dafydd Cotoarbă, Daniel Straub & Ian F.C. Smith (@TU_Muenchen). #digitaltwins #BayesianNetwork #probabilisticdigitaltwin #Design #Construction
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New Position Paper published!. Machine learning and partial differential equations: benchmark, simplify, and discover. 👉 By Petros Koumoutsakos (@hseas, @Harvard). #MachineLearning #AI #GenerativeAI #PDEs
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📢 CALL FOR PAPERS!. Data-Driven Fluid Mechanics. Submit to this special issue in collaboration with the EuroMech/ERCOFTAC joint conference. 🗓️3rd October 2025.ℹ️ #fluidmechanics #data @ercoftac
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New article!. Recurring spoken term discovery in the zero-resource constraint using diagonal patterns. 👉 By Sudhakar Pandiarajan(@VIT_univ), Sreenivasa Rao K (@IITKgp) & Pabitra Mitra. #SpokenTermDiscovery #patterndiscovery #diagonalpatternsearch
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New article!. Covariate-adjusted functional data analysis for structural health monitoring. 👉 By Philipp Wittenberg, Lizzie Neumann, Alexander Mendler (@TU_Muenchen) & Jan Gertheiss. #DataAnalysis #EnvironmentalVariability #StructuralHealthMonitoring
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New article!. Gaussian processes enabled model calibration in the context of deep geological disposal. 👉 Lennart Paul, Jorge-Humberto Urrea-Quintero,.Umer Fiaz, Ali Hussein, Hazem Yaghi, Joachim Stahlmann, Ulrich Römer & Henning Wessels. #dataanalysis
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New article!. Influence of confining stress on different diameters of disc cutters in rock cutting. 👉 By Mohammad Ali Torabi, Massoud Palassi and Ghazaleh Ali Mohammadi. #ConfiningStress #TBM #RockCutting #DiscCutters #TunnelConstruction
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Did you miss our webinar with Brian Sheil (@Cambridge_Uni) & @ninic_jelena (@unibirmingham)?. A recording of this informative event is now available. Watch now!. Digital Twins for Underground Infrastructure. 🎥 @CassyniSeminars #digitaltwins
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