You can now download the preliminary agenda in PDF format, to help see the full Conference layout.
Preliminary Agenda PDF Download
| 11:30 | Lunch | ||
|---|---|---|---|
| 12:30 | KEYNOTE Keynote | ||
| 13:30 | Transition | ||
| Session 1 | 1A – General Multiphysics | 1B – AI | 1C – Electromagnetic Simulation |
| 13:45 | Automation in Modeling Complex Multiphysics Simulations using AI/ML with Modelica Language Behnam Afsharpoya, Dassault Systemes | Best Practices for Surrogate ML Model Creation and Deployment Rajasekaran Mohan, DEP | MRI Heating in Virtual Human Anatomies with Surgically Repaired Hips To Support Safe Implant Design Josh Thomas, AltaSIM Technologies |
| 14:15 | Multi-Physics Simulation Solution For Fusion Applications - The Neutronics Thermal- Structural Analysis Of A Breeding Blanket Module Eric Vernon, Dassault Systemes | Side Door Crush Resistance Force Prediction As Per Static FMVSS 214s Regulation Sanjay Patil, Stellantis | Machining Chip Cleaning Emulator: Modeling Fully Coupled Rigid-Body Chip Transport in Water Flushing Systems Song He, General Motors |
| 14:45 | Multiphysics of Oxidation and Fatigue in Elastomer Automotive Applications Jesse Suter, Endurica | Physics AI Surrogates for Coupled CFD-FEA: Enabling Fast Multidisciplinary Design Exploration Dheeraj Vemula, Luminary | Multiphysics Simulation for Induction Shrink for Fit EV Motor Housings Tareq Eddir, SimuTechGroup |
| 15:15 | Break | ||
| Session 2 | 2A – General Multiphysics | 2B – AI | 2C – Battery Simulations |
| 15:30 | The Evolving Role of the CAE Engineer: Preparing for the Next Decade Mario Felice, virsolTech | PhysMAP: A Causal, Materiality-Weighted In-Calibration Check for AI Surrogates in Multiphysics Simulation Vishnu Vettrivel, GWU | AI-Assisted Geometry Generation and Simulation-Driven Optimization for Battery Cooling Design Shiv Kumar, Ansys |
| 16:00 | Evaluation of AI Models for Accelerated Structural Response Prediction of Automotive Exhaust System Configurations Ram Suraj Ramkumar, Isuzu | Intelligent Injection Gate Design Through AI-Accelerated Learning and Design Space Exploration with Nonlinear Multiphysics Simulation Cenk Feridunoglu, Empower Operations | C-BECAF: A Crashworthiness Assessment Framework for Composite Battery Enclosures Sachin Ratnaparkhi |
| 16:30 | Technologies to Support Multiphysics Simulations for the Fusion Energy Industry Mark Shephard, Rensselaer Polytechnic Institute | Predicting The Physics of a Tennis Ball Serve Using Time-coupled Reduced-Order Modeling-based Prediction of the Ball Deformation State and the Air Flow Around the Ball Adarsh Viji Elango, ESTECO | PINN-LSTM Framework for Adaptive Analysis of Battery Parameters, Including Unified SOC and SOH Estimation, RUL Prediction and Context-Aware Auto-Tuning Across Terrain, Temperature, and Driver Modes Jaywant Mahajan, eShocan |
| 17:00 | Reception | ||
| 08:30 | KEYNOTE Keynote | ||
|---|---|---|---|
| 09:15 | Break | ||
| Session 3 | 3A – General Multiphysics | 3B – AI | 3C – Battery Simulations |
| 09:30 | Integrated Fatigue Life Prediction for Large Nonlinear Structural Simulations – Eliminating the Workflow Bottleneck in Large-Scale Fatigue Simulation Mike Sheh, Intes North America | Shift-Truck: A Large Physics Model for Pickup-Truck Aerodynamics, Bootstrapped by Transfer Learning From Shift-SUV Yin Yu, Luminary AI | Intelligent Multiphysics Simulation Automation: Bridging Safety Analysis and Fault Simulation for Automotive Electronic Systems Using LLM and RAG Jaywant Mahajan, eShocan |
| 10:00 | A Coupled Thermo-Mechanical Finite Element Framework for Assessment of Performance for Rotary Fiberizing Spinners Rauf Shah, Owens Corning | On the Hydrodynamics of Foiling Craft Martin Matthew, TU Dresden | Analyzing Vehicle Performance as a Function of Battery Cell Behavior During Charging and Discharging Behnam Afsharpoya, Dassault Systemes |
| 10:30 | Simulation of a Hose with a Complex Reinforcing Outer Layer Nelson Woo, Enginesoft USA | Visualizing Multi-Physics Modeling on a Turbo Charger System, Sub-System, and Component: Utilizing AI Assistance Dan Donovan, Visual Collaboration Tech | Multiscale Modeling of Lithium-Ion Batteries: Heterogeneous P4D Analysis of Structurally Inhomogeneous Cells Models Generated by Mixing Simulation of Stochastically Generated Active Particles Sandeep Kulathu, Dassault Systemes |
| 11:00 | Lunch | ||
| 12:00 | PANEL Discussion Panel Bringing together leading experts from industry and academia to explore how multiphysics simulation is evolving to address industry challenges. | ||
| 13:30 | Break | ||
| Session 4 | 4A – General Multiphysics | 4B – AI | 4C – Battery Simulations |
| 14:00 | Coupled Electrical–Thermal–Flow Modeling of a Cold Top Electric Melting Furnace Nikita Khozin, Owens Corning | Organizational Knowledge Driven Autonomous Welding Process Simulation Omar Ibrahim, Teknicae | Numerical Study of Electrolyte Flow Under Charging and Discharging Process of 2D Lithium-Ion Battery Model Sandeep Kulathu, Dassault Systemes |
| 14:30 | Closing the Multiphysics AI Data and Trust Gap: Rapid Results Review for Validation and Design Inference Prasad Mandava, Visual Collaboration Tech | A Physics-Based CFD and Reduced-Order Modeling Framework for Airflow in an Insulation Forming Hood Rauf Shah, Owens Corning | Investigations of EV Battery Pack Structural Integrity During Thermal Runaway Venting Events Using a Coupled CFD-FEA Framework Kislaya Srivastava, Convergent Science |
| 15:00 | Mechanistic Origin of Cohesive Bridge Formation in Starve-Fed Twin-Screw Extruder Swan Htet, CSIRO | Shifting ML Based Fatigue Life Prediction In Automotive Product Development Abhijeet Kumbhare, Cadence Design Systems | Reduced-Order Electrochemical–Thermal Modeling of Lithium-Ion Battery Cells Using Machine Learning for Pack-level Analysis Sandeep Kulathu, Dassault Systemes |
| 15:30 | Break | ||
| Session 5 | 5A – General Multiphysics | 5B Track to be confirmed | 5C Track to be confirmed |
| 16:00 | An Advanced SPH-Based Virtual Machining Chip Cleaning Emulator: Modeling Fully Coupled Rigid-Body Chip Transport in Water Flushing Systems James Jan, Ford Motor Company | Presentation to be confirmed | Presentation to be confirmed |
| 16:30 | The Simulation You Ran Last Year Still Matters: Knowledge Generation And Preservation In The Era Of Physics AI Kaushik Das, SIMR | Presentation to be confirmed | Presentation to be confirmed |
| 17:00 | Reception | ||
| 08:30 | KEYNOTE Keynote | ||
|---|---|---|---|
| 09:30 | Break | ||
| Session 6 | 6A – General Multiphysics | 6B – NVH and Aeronautics | 6C – ADAS |
| 10:00 | A Hybrid Experimental–Numerical Methodology for Thermomechanical Assessment of a Stainless-Steel Automotive Exhaust System Ram Suraj Ramkumar, Isuzu | A Simulation-Led Approach to Stator Rotor Slot Combination Selection for Improved NVH Performance of Induction Motors Vijaya Ambarisha, Dauch Corporation | Optical Performance of ADAS Camera Under Thermal-Induced Structural Deformation of Windshield Akshay Patke, Synopsys |
| 10:30 | Mesh-Particle Multiphysics: Coupling SPH, FEM, and FVM Across Various Industrial Applications Johannes Gutekunst, Dive Solutions | Understanding In-Cabin Noise of Aircraft to Improve Occupant Acoustic Experience Iyabo Lawal, Cal Poly Pomona | Full-Vehicle Multiphysics ADAS Co-Simulation for Euro NCAP Active Safety Protocol Validation with Vehicle Dynamics and 3D Animation Jaywant Mahajan, eShocan |
| 11:00 | Large Scale Modeling of Wind Loads on Solar Arrays Saeid Emami, Array Tech | Vision-Based Deep Learning for Automated Classification of Automotive Body Mode Shapes in NVH Development Yugandhar Gopisetty, Cadence Design Systems | Agentic AI and Multiphysics Simulation for Full-Vehicle EMI/EMC: From Automated Model Construction to Physics-AI Accelerated Prediction Tim McDonald, EMA |
| 11:30 – 12:30 | Lunch | ||
| Darrel Meffert Caterpillar Inc. Enterprise Simulation Strategy Lead | David Kepczynski Ford Motor Company Global Chief Digital Transformation, Product Development | Michael Balchanos ASDL Senior Research Engineer |
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