Held in conjunction with the Artificial Intelligence and Machine Learning in CAE Applications Conference
The NAFEMS SPDM Conference is returning for 2026. This event offers a unique forum for experts from different industries, academia, consultancies, and software vendors to share their knowledge, concepts, challenges, and solutions in Simulation Process and Data Management. NAFEMS has played a key role in establishing the value of SPDM systems, and this event is a great opportunity to connect with peers and continue this essential work.
Best practice methodologies–and challenges–in SPDM deployment, including rollouts to the engineering organization for corporate-wide usage.
Real-world examples of the business benefits and competitive advantages that can be gained from the adoption of SPDM solutions, including early AI deployments utilizing SPDM.
Standards for exchange and collaborative working, as well as those for long-term archival of simulation datasets.
How best to achieve technical interoperability between CAE tools, PDM/PLM systems, and AI agents to ensure seamless data flow.
The SPDM Conference takes place in conjunction with the Artificial Intelligence and Machine Learning in CAE Applications Conference. The second day of the SPDM Conference is dedicated to SPDM and AI/ML, which will also be the focus of the first day of the Artificial Intelligence and Machine Learning in CAE Applications Conference.
Delegates will be able to attend either one or both conferences with an overlapping session on day two to exploit the synergies between the two focus subjects.
Preliminary - subject to change!
10:30 – 12:00 SPDM plenary presentations and keynote speakers
12:00 - 13:00 Lunch
13:00 – 18:00 SPDM presentations (coffee break in between)
18:00 – 21:00 SPDM conference get-together in the exhibition
08:30 – 09:45 SPDM presentations
10:30 – 12:00 SPDM/AI-ML plenary presentations and keynote speakers
12:00 – 13:00 Lunch
13:00 – 18:00 SPDM/AI-ML presentations (coffee break in between)
18:00 – 21:00 Artificial Intelligence and Machine Learning in CAE Applications Conference get-together in the exhibition
08:30 – 10:00 AI-ML plenary presentations and keynote speakers
10:30 – 12:00 AI-ML presentations
12:00 – 13:00 Lunch
13:00 – 16:30 AI-ML presentations (coffee break in between)
Schedule and agenda subject to change.
To be announced shortly
(in random order)
Structured Simulation Process and Data Management for Vehicle Thermal Analysis Models: A BPMN-Based Framework
Giljae Song, Sunkil Yun, Kyongryol Yoon, Hyunwook Park, Wonsik Kim (Hyundai Motor Company)
Accelerating SPDM Adoption with Accessibility-First
Silvia Poles (Siemens Digital Industries Software)
Towards Adaptive Simulation: An SPDM And Digital Thread Challenge
Mikhail Kondrashenkov, Declan Nolan, Trevor Robinson (University Belfast); Nigel Taylor (MBDA); Jon Gregory, Shiva Babu (Rolls-Royce)
SPDM Evaluation and Implementation at a Nuclear Security Enterprise Manufacturing Site
Ryan Jennings (Kansas City National Security Campus)
Virtual Engineering 2.0 – KI-gestütztes Simulationsprozess- und Datenmanagement auf dem Vormarsch
Alexander Köppe (CAIQ)
Twenty-Five Years as an SPDM User - Lessons From Our Journey
Steve Howell (Abercus)
Implementation of SPDM at Bentley Motors
Kyle Downes (Bentley Motors)
How to successfully deploy SDM, SPDM and Digital engineering for Modelling and Simulation – lessons learnt from the NAFEMS SPDM Best-practices Focus Team
Marc Norris (openSPDM); Albrecht Pfaff (Consultant)
From Models to Decisions: A Digital Engineering Approach to Virtual Release
Rene Honcak (ZF Group)
Simulation Meets MBSE: Providing the Context for Virtual Validation through Integrated Engineering Processes
Christian Tschirner (Two Pillars); Stephan Stieren (Fraunhofer IEM)
Managing Complexity in Automotive Product Development Through Integrated Data Management
Andreas Nicklaß (GNS Systems)
Simulation Strategy, SPDM Selection, and Readiness for AI/ML as the Third Pillar of Verification and Validation
Sebastian Schweigert-Recksiek (:em engineering Methods); Romit Kulkarni (Trumpf)
Integrating Simulation into the Enterprise Digital Fabric
Juan Manuel Lorenzi, Diana Manvelyan-Stroot, Harald Völkl, Klara Ziegler (Siemens); Daniel Berger, Wouter Dehandschutter (Siemens Industry Software); Dominik Schmidt, Wolfgang Wetzel (Siemens Mobility)
Closing the Loop: Automated SPDM Integration within Collaborative PIDO Platform for End-to-End Simulation Traceability
Laurent Chec (pSeven)
Towards a Tool-Agnostic Ontology for Detailed Engineering Simulation
Klara Ziegler (Siemens Technology Center Garching); Juan Manuel Lorenzi, Maja Milicic Brandt (Siemens); Roland Wüchner (Technical University of Munich (TUM))
Inertia Equivalent Cuboids and Mass Crosses
Felix Uptmoor (Grimme Landmaschinenfabrik)
Evolving SPDM for The AI and Agentic Engineering Era
John William (Rescale)
Addressing Accountability in the Integration of Predictive AI into Engineering Processes
Marc Vidal (Cadfem)
A Retrieval-Augmented Knowledge Layer for Simulation Process and Data Management
Fan Yang (European XFEL)
From Simulation Data Management to Engineering Intelligence: AI-Integrated Requirement Robustness Assessment
Simon Mayer, Florian Dirisamer (dAIve); Alexander Köppe (CAIQ)
Efficient Storage and Interaction with Sets of Simulation results for AI/ML and its Application of ML-Techniques for Event Detection
Stefan Müller, Nouran Abdelhady, Dominik Borsotto, Kirill Schreiner, Sidhart Suresh, Tobias Weinert (Sidact)
Unveiling The Potential of Machine Learning: A Deep Dive to Leverage Surrogate Modelling in Structural Analysis of Aircraft Structures
Christian Ferber, Antonia Franke (Airbus)
ML-Based Database for Anomaly Detection and Robust Design for Crash Simulations
Dominik Borsotto (Sidact)
Optimizing Engineering Simulation with Centralized Data Management, AI, and the Digital Thread
Romain Klain (Rescale)
From Data Management to Knowledge Management: How Native SPDM in PLM Enables AI-Driven Engineering
David Adamietz, Kevin Seidler (Siemens Digital Industries Software)
From Archive To Oracle: Turning Your Governed Simulation Data Into Predictive Power
Robert Cordina (Funis Consulting)
Engineering Methodology in the Age of AI Agents: From Expert Bottleneck to Institutional Asset
Laurent Chec (pSeven)
AI Empowered Engineering: Virtual Companions
Daniel Vallicotti (Dassault Systemes)
Standardised Data Exchange between CAx and AI/ML Processes via VMAP
Klaus Wolf (VMAPStandards Community); Pryjanka Gulati (Fraunhofer Institut SCAI)
Simulation Data Governance in the Age of AI: An SPDM Framework for Traceability, AI/ML Models Execution and Collaborative Decision Making
Marco Turchetto, Alessandro Viola, Luca Muscara, Luca Battaglia, Angela Scardigli (Esteco)
Next-Generation SPDM: AI-Native Architecture for Simulation Process Data Management & Intelligence
Vijayram Harinathan (Invisibl Cloud Solutions)
Shaping The Future Of AI-Enabled SPDM In CAE: A Lightweight Framework For Automated Workflow And Metadata Capture
Tayeb Zeguer, Mayur Bachhav (Eshocan)
A Practical Example of Integrating Agentic AI into CAE Workflows Enabled by Simulation Data Management
Marko Thiele (Scale)
Why Surrogate Models Stall at the Pilot Stage: A Three-Layer Reference Architecture for AI-Native CAE
Aniket Kulkarni (Curlscape Solutions)
The Strategic Role of Deterministic AI in Engineering Simulation
Bruce Webster, Karlheinz Peters (Novus Nexus)
Democratizing Simulation Workflows Through Agentic Orchestration
Leonel Garategaray (Inensia)
Independent-Parameter Machine Learning Surrogates for Conjugate Heat Transfer DesignWorkflows with Engineer-Facing Deployment
Joshua Coleman (Polaris Industries)
How to Find the Right CAE Agent Architecture for you?
Pierre Sabrowski, Johannes Gutekunst (Dive CAE)
A First-Principles View of AI-Orchestrated CAE Workflows
Mattia Montanari (PhysicsX)
Agentic Engineering + Physics AI: Combining Foundation Models and Orchestrated Simulation Workflows in Industrial Product Development
Jon Wilde (SimScale)
Multi-Physics Surrogates in Production: A Lead Battery Sensor Case Study
Marco Panzeri, Christine Schwarz, Ceyhun Sahin (Noesis Solutions)
From Physics Based Simulation to AI Driven Models of Stent Frames for Transcatheter Valve Replacement
Nils Karajan (Synopsis)
From Models To Decisions: A Digital Engineering Approach To Virtual Release
Rene Honcak (ZF Group)
MBSE as Enabler for Agentic AI for Simulation Workflow Management
Juho Könnö, Isa Banagar, Iiso Kramsu (SysAI)
An Intelligent Assistant for Automotive Design for Crashworthiness - Development and Application Insights
Maximilian Neururer (Volkswagen)
Domain Knowledge-Guided Hybrid AI for Vehicle Crash Prediction via Behavioral Regime Decomposition
Niranjan Ballal, Thomas Soot, Michael Dlugosch (Fraunhofer Institute for High-Speed Dynamics, EMI)
Beyond Single-Component FE: Operator Learning for Multi-Component and Gearbox Analysis
Alex Donzelli, Matthias Bonvin, Antonio Polino, Burigede Liu (Fainite)
Mesh-Independent Results Prediction by Machine Learning
Cornelia Thieme (MSC Software, Part of Cadence)
On the Use of ML Surrogates for Predicting 3D CFD Field Data - A Journey with NAFEMS - CFDWG AIML Focus Group
Steve Howell (Abercus); Max Kassera (yasAI); Justin Hodges (CoreWeave); Rob Rowsell (Wirth Research); Sunil Vytla (Cadance)
Physics-Informed CFD Surrogates for Rotating Flow Modeling
Petr Kaftan (inspire)
Machine Learning-Based Analysis of Turbulent Flow Data from Multiple Simulations
Jochen Garcke, Christian Gscheidle (Fraunhofer SCAI)
Exploring the Unseen: Expanding the Boundaries of Design Space Exploration with Generative Modeling
Danilo Di Stefano, Alessandro Viola, Haysam Telib (Esteco)
Challenges in Using AI/ML for Civil Engineering Structures
Jens Henrik Nielsen, Mwansa Tilsted Mumba, Lars Dick-Nielsen, Christen Christensen, COWI)
Visualizing and Understanding ML Model Outputs in Engineering Simulation from a Web-Based Interface
Antonis Perifanis (BETA CAE Systems)
Benchmarking Neural Surrogates For Linear-Elastic Stress Prediction Against An Analytical Reference: A Vendor-Neutral Study On The NAFEMS Plate-With-Hole Dataset
John William (Rescale)
An Open-Source Substrate for LLM Agents In Engineering Simulation
Shruti Badhwar (Independent)
Machine Learning-Based Surrogate Model for Contact Force Prediction in Aerospace Relay
Govindaraju MD (TE Connectivity)
A Critical Benchmark of Physics-Informed Neural Networks for 2D Magnetoquasistatic Simulation
Lucas Schmeing, Fabian Pioch (Westfälische Hochschule)
Real World Battery Aging Prediction using Simulation Approach & Application of ML on VTM
Jonas Verriere (Gamma Technologies)
Machine Learning in 1D Thermal Simulations of Vehicle HVAC Systems
Shourya Shukla, Fabrice Chardel, Jan Grossmann, Daniel Strang (Stellantis)
A GNN Surrogate for Naturally Ventilated Dairy Barns: An Open-Source CAE Workflow
Fabian Pioch, Lucas Schmeing (Westphalian University)
AI-Driven Engineering Intelligence for Physics-Based Decision Support in CAE Workflows
Florian Dirisamer, Simon Mayer dAIve); Andreas Schuster (Deutsches Zentrum für Luft- und Raumfahrt (DLR)); Katja Hertha-Dunkel (Physikalisch-Technische Bundesanstalt (PTB))
Benchmarking Data-Driven Surrogate Models for Transient CFD Digital Twin
Raphael Zheng Wen Tan, Fayiz Rahman (NING Research)
AI-Augmented Morphological Optimization of Monocopter Designs for Improved Aerodynamic Efficiency
Chian Yeen (Singapore University of Technology and Design)
AI Enabled Transformation in Virtual Vehicle Development Workflows
Attila Budavari (Bentley Motors)
AI-Driven Sub Modeling and Agent-Based Optimization in the Vehicle Development Process
Sebastian Fink (GNS Systems); Michael Liehr (GNS)
An AI Agent for Engineering Decision Support: Bringing Simulation Knowledge to Every Design Decision
Marco Panzeri, Christine Schwarz, Ceyhun Sahin, Borna Ghannadi, Rasoul Sadeghian (Noesis Solutions)
Physics-Informed Predictive and Generative AI for Engineering Intelligence, CAE Automation, and Optimization
Hendrik Schafstall (Detroit Engineered Products)
Predicting the Impact of CAD geometry changes on Crash Simulation KPIs for AI-driven Virtual Product Development
Gaurav Devdikar, Thorsten Pohl, Daniel, Strang (Stellantis-Opel); Benjamin Schleich (TU Darmstadt)
AI-Assisted Optimization of Manufacturing Processes
Koutaiba Kassem-Manthey, Kai Diethelm (GNS); Ahmad Tarraf (TU Darmstadt); Semih Burak (RWTH Aachen University)
Training AI Models on Topology-Optimised Data for Uncertainty Reduction in Structural Prediction: A Methodology Study
Sebastian Stahn (Ansys Part of Synopsys; Martin Husek (Synopsys)
Concurrent Data Compression and Reconstruction using Neural Networks for Virtual Reality Visualization
Abhishek Dhiman, Michael Oevermann (Brandenburg Technical University, Cottbus)
Evaluating Agentic AI for Geometry Cleanup and Mesh Generation in Computer-Aided Engineering
Rui Aguiar, Noah Weber (Cosmon)
From Compute Governance to Sovereign Cloud? Pathways to Resilient Engineering Infrastructures
Erik Stolle (GNS Systems)
Preliminary classification subject to change
| Event Type | User Conference |
|---|---|
| Member Price | £745.09 | $985.65 | €860.00 |
| Non-member Price | £953.02 | $1260.71 | €1100.00 |
| Credit Price | Free when using 4 Member Credits |
| Start Date | End Date | Location | |
|---|---|---|---|
| | Munich, Germany | |
You have two registration options:
Conference fees include attendance, lunches, coffee breaks, a get-together and conference proceedings.
Accommodation is not included.
If your company is a member but does not have sufficient seminar credits available, you can purchase seminar credits for €215 per seminar credit.
Science Congress Center
Walther-von-Dyck-Straße 10
85748 Garching bei München
Germany
Science Congress Center Munich
We look forward to welcoming you at the Science Congress Center Munich. Thanks to its excellent location between Munich Airport and Munich Central Station, you can easily reach the congress center by train, car, plane or bus/taxi. The underground station "U6 - Garching Forschungszentrum" is located directly in front of the entrance, parking is available for a fee in the nearby parking garage.
Connected and close-by hotels:
Courtyard by Marriott München Garching
Walther-von-Dyck-Straße 12
85748 Garching bei München
info@courtyard-garching.de
+49 (0) 89 61425 0
Stellaris Apartment Hotel Garching
Walther-von-Dyck-Straße 16
85748 Garching bei München
info@stellaris-apartment.de
+49 (0) 89 614250 61
There are several outstanding opportunities available for your company to sponsor or exhibit at the conference, giving you maximum exposure to a highly targeted audience of delegates, who are all directly involved in the topic. Please have a look at the brochure below:
2026-european-spdm-ai-ml-exhibition-sponsoring.pdf
English
NAFEMS Deutschland, Österreich, Schweiz GmbH
Griesstraße 20
85567 Grafing b. München, Germany
Tel. +49 176 217 984 01
Fax +49 3 22 11 08 99 13 41
e-mail: info@nafems.de
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