Exploring the Status of Data-Driven Engineering

Production-Ready and Emerging Technologies

W​ednesday 26th & Thursday 27th February 2025

07:00 – 10:30 (Los Angeles) | 10:00 – 13:30 (New York)
15:00 – 18:30 (London) | 16:00 – 19:30 (Berlin)

3​.5 hours each day

Data-driven engineering methods are transforming how we design and optimize products. Join us online for the ‘Exploring the Status of Data-Driven Engineering: Production-Ready and Emerging Technologies’ seminar, where we will be focusing on the methods that are in use right now and those that are coming down the pipeline.

This is a key event for engineers, data scientists and machine learning practitioners keen to stay at the forefront of the technology. It is an opportunity to explore technology at the cutting edge and engage with the community shaping the future of data-driven engineering.

Why Attend?

1. To stay informed about industry and academic trends. Participants will discover the latest trends and technologies in engineering data science, as used in industry practice and academia. This includes advancements in data science, machine learning, artificial intelligence and their real-world applications.
2. To share knowledge and best practices. Attendees will share their expertise and exchange best practices with fellow professionals to enhance understanding of production-ready and emerging data-driven technologies in the industry.
3. To gain real-world application insights. Participants will acquire a greater understanding of how data science and machine learning are effectively applied to solve real-world problems. This knowledge will enable participants to apply these techniques to their own work and address practical challenges.
4. To be inspired and motivated. Attendees will draw inspiration from the work of other data scientists and machine learning professionals. This inspiration will serve as a catalyst for achieving career/research goals and excellence in the field.

Provisional Agenda

Day 1 – Wednesday 26^th February

A​ll times below are in GMT (London)

15:00 Opening Day 1
Vladimir Balabanov, Boeing

Keynote Address: Robust AI in the Wild
Dragos Margineantu, Boeing

Data Driven Probabilistic Modelling of Engine Vibration
Carsten Buchholz & Maren Fanter, Rolls Royce

16:15 Short break

Simplifying the Evaluation of Many Simulation Results with Machine Learning
Jochen Garcke, Fraunhofer SCAI

T​itle to be confirmed
Astrid Walle, Siemens Energy

1​7:15 Short break

P​hysicsAI: An End User's Review
Shane Mooney, Kinetic Vision

Discussion session

18:20 Close Day 1

Day 2 – Thursday 27^th February

15:00 Opening Day 2
Vladimir Balabanov, Boeing

Keynote Address:
Liwei Wang, Carnegie Mellon University

S​urrogate Models at Airbus: From Development to Certification
Stephane Grihon, Airbus

16:15 Short break

AI-based Predictive Maintenance – Reality or Fiction if you don’t have Failure Data?
Remi Duquette, Maya HTT Ltd

Physics-Enhanced Data-Driven Models for Predicting the Fatigue Response of Additively Manufactured Metals
Alberto Ciampaglia, Politecnico di Torino

1​7:15 Short break

Data Curation and Design Optimization: Where Geometric Deep Learning (GDL) Begins and Concludes
Fatma Kocer, Altair

Discussion session

18:20 Close Day 2

F​ree to attend with 2 Member Credits !

This online seminar is being hosted by the NAFEMS Engineering Data Science Working Group.

Support us ...

We would like to extend an invitation to your company to be part of this event. There are several outstanding opportunities available for your company to sponsor the seminar, giving you maximum exposure to a highly targeted audience of delegates, who are all directly involved in simulation, analysis, and design.

P​lease contact the event organiser
Jo Potts, for further information
jo.potts@nafems.org; +44 (0)1355 225688