NAFEMS Multiphysics Conference 2026 — Detroit, MI, USA · 27–29 October
All Events / NAFEMS Multiphysics 2026
Detroit, Michigan, USA

NAFEMS Multiphysics
Conference 2026

eShocan presents 3 technical papers — covering Euro NCAP ADAS Co-Simulation, LLM-powered Simulation Automation, and PINN-LSTM Battery Intelligence. Speaker: Dr. Jaywant Mahajan.

27 – 29 October 2026 DoubleTree by Hilton Detroit Downtown – Fort Shelby 3 Presentations Dr. Jaywant Mahajan
ADAS & Vehicle Safety Full-Vehicle Multiphysics Co-Simulation for Euro NCAP Active Safety Protocol Validation
Simulation Automation Intelligent Multiphysics Automation bridging Safety Analysis and Fault Simulation via LLM
Battery Intelligence PINN-LSTM Battery Intelligence for BMS and Electric Powertrains
Global Stage Presenting at one of the world's premier multiphysics simulation conferences

eShocan Sessions at Detroit

AI-driven multiphysics simulation and intelligent validation for automotive safety, ADAS, and battery health using LLMs, RAG, and physics-informed learning.

27 Oct 2026 · 16:30 EDT

Full-Vehicle Multiphysics ADAS Co-Simulation for Euro NCAP Active Safety Protocol Validation with Vehicle Dynamics and 3D Animation

Dr. Jaywant Mahajan — eShocan 27 October 2026, 16:30 EDT NAFEMS Multiphysics Conference, Detroit

This paper introduces a full-vehicle multiphysics ADAS co-simulation framework built around Euro NCAP active safety protocols. The methodology integrates vehicle dynamics with real-time 3D animation to validate ADAS performance under standardised crash-avoidance scenarios. The approach bridges high-fidelity simulation with regulatory-grade protocol compliance, providing a reproducible digital testing environment for modern active safety systems.

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28 Oct 2026 · 10:00 EDT

Intelligent Multiphysics Simulation Automation: Bridging Safety Analysis and Fault Simulation for Automotive Systems Using Large Language Models

Dr. Jaywant Mahajan — eShocan 28 October 2026, 10:00 EDT NAFEMS Multiphysics Conference, Detroit

This session presents an intelligent automation framework that uses Large Language Models (LLMs) to orchestrate multiphysics simulation workflows. The system connects safety analysis (FMEA/FTA) with fault-injection simulation pipelines, enabling autonomous generation, execution and reporting of simulation studies across ADAS, battery and structural domains — dramatically reducing manual engineering overhead.

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29 Oct 2026 · 11:00 EDT

PINN-LSTM Battery Intelligence: Physics-Informed Machine Learning for Real-Time Battery Management and Electric Powertrain Optimisation

Dr. Jaywant Mahajan — eShocan 29 October 2026, 11:00 EDT NAFEMS Multiphysics Conference, Detroit

A hybrid PINN-LSTM architecture for real-time battery state estimation and electric powertrain optimisation. The framework combines physics-informed neural networks (PINNs) with long-short-term memory (LSTM) recurrent layers to deliver accurate, computationally efficient predictions of battery state-of-charge, state-of-health and temperature — enabling smarter BMS decisions under variable load profiles.

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Connect With eShocan

Want to talk simulation in Detroit?

Meet Dr. Jaywant Mahajan and our engineering delegation in Detroit.

Our lead author and simulation architects will be available on-site across all three days of the NAFEMS Multiphysics Conference in Detroit. Whether you want to review your simulation automation pipeline, evaluate Euro NCAP ADAS co-simulation, explore battery intelligence, or discuss your technical programs — reserve dedicated time to meet directly.

  • 1-on-1 Author Access: Meet Dr. Jaywant Mahajan in person at Fort Shelby.
  • Tailored Program Discussion: Map presentation methodologies to your active vehicle & electronics architectures.
  • Live Workflow Walkthroughs: Deep-dive into LLM-driven automation, fault simulation, and PINN-LSTM toolchains.
Prefer direct email? Contact us at contactus@eshocan.com
Available 27–29 October 2026 at DoubleTree Fort Shelby

Book a Meeting

Reserve a dedicated 1-on-1 technical session with our team.