Multiphysics Conference 2026

Preliminary Agenda

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PRELIMINARY AGENDA — subject to change. Session titles, presentations and timings will be confirmed in the final programme. Correct as of 23 September 2026

Day 1 Tuesday 27 October 2026

Session 1	1A – General Multiphysics	1B – AI	1C – Electromagnetic Simulation
11:30	Lunch
12:30	KEYNOTE Keynote
13:30	Transition
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	Multiphysics Optimization for Electrical Machines Considering Multiple Operation Points Scott Piper, 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	Visualizing Multi-Physics Modeling on a Turbo Charger System, Sub-System, and Component: Utilizing AI Assistance Dan Donovan, Visual Collaboration Tech	Multiphysics Simulation for Induction Shrink for Fit EV Motor Housings Tareq Eddir, SimuTechGroup
15:15	Break
Session 2	2A – General Multiphysics	2B – AI	2C – ADAS
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	Optical Performance of ADAS Camera Under Thermal-Induced Structural Deformation of Windshield Akshay Patke, Synopsys
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	Full-Vehicle Multiphysics ADAS Co-Simulation for Euro NCAP Active Safety Protocol Validation with Vehicle Dynamics and 3D Animation Jaywant Mahajan, eShocan
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	Agentic AI and Multiphysics Simulation for Full-Vehicle EMI/EMC: From Automated Model Construction to Physics-AI Accelerated Prediction Tim McDonald, EMA
17:00	Reception

Day 2 Wednesday 28 October 2026

Session 3	3A – General Multiphysics	3B No session	3C – Battery Simulations
08:30	KEYNOTE Keynote
09:15	Break
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		Intelligent Multiphysics Simulation Automation: Bridging Safety Analysis and Fault Simulation for Automotive Electronic Systems Using LLM and RAG Jaywant Mahajan, eShocan
10:00	Multi-Physics Simulation Solution For Fusion Applications - The Neutronics Thermal- Structural Analysis Of A Breeding Blanket Module Eric Vernon, Dassault Systemes		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		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 No session	4C – Battery Simulations
14:00	Shifting ML Based Fatigue Life Prediction In Automotive Product Development Abhijeet Kumbhare, Cadence Design Systems		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		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		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 – NVH and Aeronautics
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	A Simulation-Led Approach to Stator Rotor Slot Combination Selection for Improved NVH Performance of Induction Motors Vijaya Ambarisha, Dauch Corporation
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	Vision-Based Deep Learning for Automated Classification of Automotive Body Mode Shapes in NVH Development Yugandhar Gopisetty, Cadence Design Systems

Day 3 Thursday 29 October 2026

Session 6	6A – General Multiphysics	6B – AI	6C – Battery Simulations
08:30	KEYNOTE Keynote
09:30	Break
10:00	A Hybrid Experimental–Numerical Methodology for Thermomechanical Assessment of a Stainless-Steel Automotive Exhaust System Ram Suraj Ramkumar, Isuzu	Shift-Truck: A Large Physics Model for Pickup-Truck Aerodynamics, Bootstrapped by Transfer Learning From Shift-SUV Yin Yu, Luminary AI	AI-Assisted Geometry Generation and Simulation-Driven Optimization for Battery Cooling Design Shiv Kumar, Ansys
10:30	Mesh-Particle Multiphysics: Coupling SPH, FEM, and FVM Across Various Industrial Applications Johannes Gutekunst, Dive Solutions	Organizational Knowledge Driven Autonomous Welding Process Simulation Omar Ibrahim, Teknicae	C-BECAF: A Crashworthiness Assessment Framework for Composite Battery Enclosures Sachin Ratnaparkhi, TECOSIM Inc
11:00	Large Scale Modeling of Wind Loads on Solar Arrays Saeid Emami, Array Tech	Physics AI Surrogates for Coupled CFD-FEA: Enabling Fast Multidisciplinary Design Exploration Dheeraj Vemula, Luminary	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
11:30 – 12:30	Lunch

Confirmed Keynote Speakers (allocation to keynote slots to be announced)

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

In association with the NAFEMS Multiphysics Working Group.

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