nTop Computational Design Summit 2025

Computational Design & The Future of AI-Supported Engineering

Bradley Rothenberg, CEO/Founder, nTop

Understand how computational design is reshaping AI-driven engineering workflows, eliminating inefficiencies, and enabling faster, high-fidelity design.

AI/ML in Computational Design - A Breakthrough in Simulation Efficiency

Carlos Mendez, Staff Opto-Mechanical Engineer, Lockheed Martin

Learn how Lockheed Martin used nTop to parameterize heat exchanger designs, accelerate simulation times, and leverage AI to optimize designs in minutes instead of weeks.

External Aerodynamics for Early Aircraft Concepts

Michael Emory, Product Manager, Luminary Cloud

Michael demonstrated a cutting-edge physics-AI workflow that’s transforming how early aircraft concepts are designed, analyzed, and optimized—without needing to be a CFD expert.

Scalable Parametric Workflows in Turbomachinery

Markus Lempke, Computational Design for Additive Manufacturing, Siemens Energy
Andy Kappers, Mechanical Engineer, Siemens Energy

Markus and Andy showcased how implicit modeling and meshless simulation have transformed turbomachinery design at Siemens Energy. By replacing traditional CAD and meshing workflows, they rapidly explored complex geometries like pin fin arrays and perforated air filters—achieving faster iterations, better performance insights, and streamlined additive manufacturing.

Accelerating Simulation Workflows with NVIDIA

Rishikesh Ranade, Senior Technical Product Manager - Physics AI Models and CAE Blueprints, NVIDIA

Rashid from NVIDIA's CAE group presented how NVIDIA's AI infrastructure enables accelerated engineering workflows, moving from running one wind tunnel experiment per week to processing orders of magnitude more designs using GPU-accelerated simulations and AI

Computational Design Requirements for MDAO

Jan Vandenbrande, former Boeing & DARPA

Jan explains how implicit modeling and field-driven design enable fast, automated geometry updates essential for MDO. By removing fragile dependencies found in traditional CAD, engineers can iterate thousands of designs reliably and efficiently within optimization loops.

How nTop Enables Computational Design

George Allen, nTop Technical Fellow

George Allen explained how nTop's implicit modeling technology enables reliable computational design through iterative analysis and optimization loops.

Implicits: The Future of CAD

Blake Courter, nTop Fellow, Gradient Control Laboratories

Learn why implicit modeling outperforms traditional CAD in robustness, speed, and scalability—and why leading teams are making the switch.

The AI Playbook for Engineering Leaders

Learn how engineering leaders are building AI readiness into their teams - from structuring high-value prediction goals to integration ML into daily workflows.

Speakers:

Michael Emory @ Luminary Cloud
Todd McDevitt @ nTop
Fahad Khan @ Northrop Grumman

From Design Excellence to Contract Wins: How Engineering Drive Competitive Edge in A&D

A conversation with engineering leaders on how strong design practices can improve program outcomes—from early concepts to final proposals.

Speakers:
Steve Bleymaier – CTO for Aerospace & Defense @ Ansys
George Irving – Former Engineering Executive @ Lockheed Martin
Jan Vandenbrande – SVP of Future Concepts @ SRI International (Formerly DARPA, Boeing)
Kumar Bahtia - Former Senior Technical Fellow @Boeing