Data-Centric Engineering  @CAM

About the event

Half-day event that will be hosted in LT1 (Inglis Building) in the Engineering Department and sponsored by Data-Cetric Engineering Journal (https://www.cambridge.org/core/journals/data-centric-engineering) on the 15th of January 2025.

Goals:

• to catalyze the excellent research being carried out within the CUED in Data Centric Engineering. 

• to create opportunities for collaborations via joined PhD students and RAs.

The programme of the first Data-Centric Engineering @ Cam event is

• 1:30pm - sharp start! 

 Intro to the DCE @ CAM event by Alice Cicirello (less than 10 minutes!)

Mark Girolami’s opening talk (20 mins)

• 2pm First stream (1 h block) - 12 minutes talks, 3 minutes for questions

• 14:00-14:15
  The Elephant in the Room: Machine Learning directly into physics-based models, Matthew Juniper

• 14:15-14:30
  A Populational Perspective on Inverse Problems, Arnaud Vadeboncoeur

• 14:30-14:45

Operator learning for partial differential equations, Burigede Liu

• 14:45-15:00
  Evaluating Rainstorm Impacts on Road Traffic Networks: A Data  and Model Driven Approach, Jie Liu

• 3pm Coffee break

• 3:30pm Second stream (1 h block) - 12 minutes talks, 3 minutes for questions

• 15:30-15:45
  Dealing with uncertainty: experiences from across built environment disciplines, Rameseshan Kannan CUED and Arup 

• 15:45-16:00
  Assimilating data into low-order mechanics models, Matthew Yoko

• 16:00-16:15

Applications of data science in energy systems and built environment modelling,  Bryn Pickering CUED and Arup

• 16:15-16:30

Robust Topology Optimisation of Lattice Structures with Spatially Correlated Uncertainties,  Ahmet Oguzhan Yuksel

• 4:30pm  break

• 5pm Third stream (1 h block) - 12 minutes talks, 3 minutes for questions

• 17:00-17:15

Bayesian inversion of generalised Navier-Stokes problems from flow-MRI data, Alexandros Kontogiannis

• 17:15-17:30

Interoperable and Trustworthy Carbon Data Model, Jinying Xu

• 17:30-17:45

Physics-Enhanced Machine Learning for dynamical systems, Alice Cicirello 

• 6pm Wrap up and actions

• Open challenges in DCE

• Opportunities for collaborations via joined PhD students and RAs. 

• 6:30pm Drinks reception

The schedule might be subject to small changes right before the event. Please do check this website to have access to the latest updates. 

Organisers:

Mark Girolami (who came up with the idea for this event!)

Alice Cicirello (organiser and chair of the event)

Are you working in Data-Centric Engineering?

Would you like to explore opportunities for collaboration within CUED?

On January 15th, we will host the first Data-Centric Engineering @ CAM event in the Engineering Department. Speakers will present their ongoing research, research challenges and opportunities. 

The event is free and open to all current CUED members (including Academics, Researchers, PhD students, undergraduates and Master students), and you can register online at the link below.

If you are an Academic/PDRA/Senior researcher working the Cambridge University Engineering Department on Data-Centric Engineering, and you would like to present, please fill in the form below by January 10th – including the title of your presentation. 

Note: in this edition of the workshop, PhD students, undergraduates and Master students are not directly invited to present their work but they are welcome to attend and participate to the discussions. However, if the Principal Investigator cannot attend the event, they can invite PhD students to represent their group research activities. 

Also industrial partners are invited to present at this event to highlight industrial needs and opportunities in Data-Centric Engineering. Academics/PI, please forward this page to relevant industrial partners so that they can register

Please note:

• the event is going to be held in person only, and the presentations will NOT be recorded

• this first event is open ONLY to be internal to the Cambridge University Engineering Department  - with the exception of industrial partners directly flagged by the CUED academics. 

For more information about this event, please contact Alice Cicirello (ac685 @  cam.ac.uk)