Data-Centric Engineering

Data-Centric Engineering

Data-Centric Engineering Journal, Cambridge University Press

The DCE Webinar series is a programme of monthly virtual events about data-centric engineering: the use of data science methods and models for improving the reliability, resilience, safety, efficiency and usability of engineered systems. It is hosted by the Data-Centric Engineering journal at Cambridge University Press – a peer-reviewed open access journal dedicated to the interface of data science and all engineering disciplines – with the support of The Alan Turing Institute and the Lloyd's Register Foundation .

For more information and updates follow the DCE Blog on Medium

Speakers
Community
Prof. George Karniadakis
Professor Neil D. Lawrence
Prof. Gianluca Iaccarino
Professor Julie McCann
Professor Karthik Duraisamy
Dr. Takemasa Miyoshi
Philip Jonathan
Prof. Dr. Philipp Hennig
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Dr. Siavash Fathollahi Dehkordi
Michael Auinger
Dr Joseph O'Connor
Kacey Mallow
Dr. Dr. Sahadev Pradhan
Dr. Andrew Preston
Dr Ben Kaube
Andrew Keenan
+190
Data-Centric Engineering Journal
@DCE_Journal
Data-Centric Engineering Journal
@DCE_Journal

July 2025

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Real-time digital twins: unifying bias-aware data assimilation and machine learning
Jul 28 @ 2pm
Keynote
Imperial College London

Real-time digital twins: unifying bias-aware data assimilation and machine learning

Dr Andrea Nóvoa
Andrea Nóvoa
Imperial College London
Monday, July 28, 2025 2:00 PM (UTC)
RSVP to seminar

Published seminars

Digital Twins for Underground Infrastructure
Apr 10
Keynote
University of Birmingham
University of Cambridge

Digital Twins for Underground Infrastructure

Jelena Ninic, University of Birmingham
Brian Sheil, University of Cambridge
Optimal experiment design with adjoint-accelerated Bayesian inference
Dec 2024
University of Cambridge

Optimal experiment design with adjoint-accelerated Bayesian inference

Matthew Yoko, University of Cambridge
Reinforcement Learning in Building Energy Management: Challenges and Future Directions
Jul 2024
Keynote
The University of Texas at Austin

Reinforcement Learning in Building Energy Management: Challenges and Future Directions

Zoltan Nagy, The University of Texas at Austin
Securing Cyber-Physical Systems: Economic Adoption and Risk Perception of Cybersecurity
Apr 2024
Keynote
Swansea University
ETH Zurich

Securing Cyber-Physical Systems: Economic Adoption and Risk Perception of Cybersecurity

Siraj Shaikh, Swansea University
Marcus Haywood-Alexander, ETH Zurich
The Air-Conditioning Paradox: Protecting Vulnerable Populations from Extreme Heat
Nov 2023
Keynote
University of Southern California

The Air-Conditioning Paradox: Protecting Vulnerable Populations from Extreme Heat

Kelly Twomey Sanders, University of Southern California
Augmenting reality with The World Avatar - automating data centric engineering
Oct 2023
Keynote
University of Cambridge

Augmenting reality with The World Avatar - automating data centric engineering

Markus Kraft, University of Cambridge
Modelling and Controlling Turbulent Flows through Deep Learning
Nov 2022
Keynote
KTH Royal Institute of Technology

Modelling and Controlling Turbulent Flows through Deep Learning

Ricardo Vinuesa, KTH Royal Institute of Technology
Digital twins in mechanics and medicine
Oct 2022
Keynote
University of Luxembourg

Digital twins in mechanics and medicine

Stéphane Bordas, University of Luxembourg
Building a Data Fit Organisation
Sep 2022
Keynote
University of Western Australia

Building a Data Fit Organisation

Melinda Hodkiewicz, University of Western Australia
Zane Prickett, Unearthed