This Website is not fully compatible with Internet Explorer.
For a more complete and secure browsing experience please consider using Microsoft Edge, Firefox, or Chrome

Agenda

Agenda (preliminary)

 

Wednesday, 20 November
09:30On-site registration opens
10:30

Pre-seminar short course:
AI for Simulation Engineers *
Max Kassera (yasAI)

12:30Exhibition opens
Session 1
13:30Welcome & Introduction
Pär-Ola Jansell (member of the NAFEMS NORDIC Steering Committee / Altair Engineering); Albert Roger Oswald (NAFEMS)
13:40

Keynote presentation:
AI-Driven Digital Twins: Bridging the Physical and Digital Worlds in Modern Mecha(tro)nics
Grzegorz Orzechowski (LUT University)

1​4:15

Platinum sponsor presentation:
Pushing the Boundaries of Innovation with AI
Joakim Lindholm (Altair Engineering)

14:35Data-Based Design of a Tracking Controller for Planar Closed-Loop Mechanisms
Sanam Hajipour Talkouei, Dieter Bestle (University of Technology Cottbus–Senftenberg)

1​5:00

Gold sponsor presentation:
Sidact

1​5:10

Event Detection and Cause Correlation for Crash Simulation Results
Dominik Borsotto (Sidact)

15:35Break
Session 2
16:15

Machine Learning Tools and Applications for Optimization and Design Exploration
Dimitrios Drougkas (BETA CAE Systems)

1​6:40

Gold sponsor presentation:
Towards AI-Empowered Design Exploration
Jan Granlund (Dassault Systemes)

16:50AI-Empowered 3D Surrogate Modelling: Case Study of Thermo-Mechanical Simulation of a Glass Table
Padmeya Prashant Indurkar, Barakat Bokharaie, Jan Granlund (Dassault Systemes)

1​7:15

Memory for Your AI: Lessons Learned from 6 Years of Applied Research on Contextual Graph-Data-Bases as Enabler for AI Use Cases
Christopher Woll (GNS Systems); Marco Lah (Context64.ai)

17:40Get together in the exhibition hall
Thursday, 21 November
Session 3
08:30Keynote presentation:
Applications of AI/ML in Fatigue Analysis
Anssi Laukkanen (VTT Technical Research Centre of Finland)
09:05Automated Damage Localization in Carbon Fiber Composites via Machine Learning and Deep Learning
Andre Tavares (Siemens Industry Software)
09:30Artificial Neural Networks Aiding the Calibration Process of Polymers in the Packaging Industry
Eskil Andreasson (Tetra Pak); Md Shafiqul Islam (Blekinge Institute of Technology)
09:55Break
Session 4
10:40Modelling of Visco-Plasticity using Neural Networks
Martin Kroon (Linnaeus University)
11:05AI-Driven Design Parameter Optimization for Sheet Metal Forming Processes
Kai Dietheim, Koutaiba Kassem-Manthey (GNS Gesellschaft für numerische Simulation); Semih Burak, Christian Terboven (RWTH Aachen University); Seyed Ali Mohammadi, Ahmad Tarraf, Felix Wolf (TU Darmstadt); Lukas Moj, Christopher Woll (GNS Systems)
11:30Applications of AI in Engineering
Gustaf Jönsson (Altair Engineering)
11:55Lunch Break
Session 5
13:00Combining Simulation with Machine Learning During Various Design Phases of Turbomachinery
Erik Munktell (Siemens)
13:25Data-Driven Optimization of Exhaust Valve Geometry for Wear Reduction
Mohammad A. Haghnejat (Wärtsilä/FS Dynamics ); Jouko Hintikka, Niclas Liljenfeldt (Wärtsilä); Luc St-Pierre (Aalto University)
13:50Empowering Organizations with Engineering Intelligence to Revolutionize Product Development
Mariana Osorio (Neural Concept)
14:15

Discussion:
AI and ML in Simulation Driven Design - How do these Technologies Add Value?
Pär-Ola Jansell (member of the NAFEMS NORDIC Steering Committee / Altair Engineering)

14:45Farewell
Pär-Ola Jansell (member of the NAFEMS NORDIC Steering Committee / Altair Engineering); Albert Roger Oswald (NAFEMS)
15:00End of seminar

A​genda subject to change.

Main page / RegistrationAgendaAbstract Submission Form

Platinum Sponsor

G​old Sponsors

Silver Sponsor

 

E​xhibitors (as of 26 Sept.)

  • Altair
  • B​ETA CAE Systems
  • D​assault Systemes
  • N​AFEMS
  • S​idact
  • .​..

* Pre-seminar short course:

AI for Simulation Engineers

This workshop will introduce the participants to the applications of AI for simulation engineering. It will start with a beginner-friendly introduction to how AI systems work and how they are built. It will then cover use cases where AI outperforms traditional methods as well as cases where AI is not the optimal choice. Interactive elements and a Q&A are integrated to enhance understanding and engagement. Whether you're a beginner or have some knowledge of AI, this workshop will provide a balanced and realistic perspective on the evolving intersection of AI and simulation engineering.

Trainer: M​ax Kassera (yasAI)
Max Kassera studied mechanical engineering with a minor in economics at the University of Kaiserslautern-Landau, where he first applied machine learning and artificial intelligence to turbocharger design in 2017. After graduating, he was awarded two German government grants to develop AI software for mechanical engineering, which led to the incorporation of yasAI in 2022. With yasAI, Max began training engineers in applying AI to simulation projects with a focus on simulations and fluid mechanics.

T​his short course is an excerp of the NAFEMS accredited training course "Fundamentals of AI for Simulation Engineers"