Monday, November 9th at 1:15pm
Speaker: Jordan Olson, Senior Application Engineer
Presentation: Engineering in the Age of Agentic AI: Building Trust and Ensuring Rigor
Description: Recent advances in agentic AI are changing the way engineers work. As AI agents generate increasingly sophisticated designs, models, and implementation artifacts, engineers must be able to validate, understand, and ultimately own the results. Achieving this requires approaches that keep humans in the loop while ensuring outputs are accurate, traceable, and aligned with engineering requirements. When applied effectively, agentic AI can improve engineering productivity by reducing time spent on repetitive and specialized tasks.
This talk outlines MathWorks' vision for combining agentic AI, Model-Based Design, and proven software tools to deliver repeatable, accurate, certifiable, and token-efficient results. We will also present recent examples of successful adoption of this methodology.
Biography: Jordan Olson is a Senior Application Engineer at MathWorks specializing in advanced control design and artificial intelligence. Jordan supports engineers across a variety of industries, including aerospace, automotive, energy production, and manufacturing. Prior to joining MathWorks, Jordan obtained his MSME and MSEE degrees from The University of Alabama where he worked on automated driving control systems.
Monday, November 9th at 2:45pm
Speaker: John Goetz, Senior Software Engineer
Presentation: Talk to Your Physics Model: Agentic Exploration of Physics Models in Tecplot 360
Description: Large Physics Models (LPMs) trained on simulation and experimental data are transforming mechanical engineering, but interactive validation and parameter-space exploration remain bottlenecked by traditional user interfaces. In this presentation, we show how an LLM-based AI Agent in Tecplot 360 drives LPM visualization through natural-language interaction: the user asks a question, the Agent queries the model, and updated fields and comparison plots render in real time. Using an airplane CFD surrogate model, we will showcase live parameter sweeps, side-by-side comparisons with the training input data, and sensitivity analysis.
Biography: John Goetz, PhD, is a senior software engineer at Tecplot, Inc. whose work includes PyTecplot and several advanced rendering capabilities for Tecplot 360 involving GPU programming with Vulkan. He holds a doctorate in high-energy particle physics and is passionate about scientific data visualization.
Monday, November 9th at 4:45pm
Speaker: Chris Tunney, Manager, Dassault Systèmes Academic / Workforce of the Future
Presentation: Virtual Twins for Teaching and Research: Preparing Engineering Students for Collaborative, Model-Based Product Development, including CAD and simulation, on the Dassault Systèmes 3DEXPERIENCE Platform
Description: Industry is rapidly adopting virtual twins, model-based systems engineering (MBSE), and AI-assisted workflows, and engineering programs are under growing pressure to prepare graduates for them. This session shows how the Dassault Systèmes 3DEXPERIENCE platform gives students, faculty, and researchers a single cloud-enabled environment spanning requirements, system design, CAD, modeling and simulation (MODSIM), and manufacturing, connected by a continuous digital thread. We will demonstrate how design decisions, analysis results, and engineering data remain traceable across these activities, and how this is used to support a virtual twin that represents a product digitally before it takes physical form, and throughout its lifecycle. We will highlight how the same tools support experiential learning, and how certification, learning resources, and the Dassault Systèmes Edu Centers of Excellence network connect to industry-recognized skills. We will also show how the 3DEXPERIENCE platform has been utilized in several academic examples, and how it not only modernizes product development but also equips, in an academic context, the Workforce of the Future with essential skills.
Biography: Chris Tunney is a manager in the Dassault Systèmes Academic / Workforce of the Future group, where he works with universities to bring virtual twin and simulation technologies into engineering education. He has over 30 years of experience in digital simulation, including finite element analysis (FEA), computational fluid dynamics (CFD), motion simulation (multi-body dynamics, MBD), and related virtual twin applications, and has taught numerous professional courses on finite element analysis. During more than 15 years with Dassault Systèmes, he supported the North American aerospace and defense industry before moving into his current role. Chris holds a B.S. in Aeronautical Engineering and an M.S. in Mechanical Engineering from Rensselaer Polytechnic Institute (RPI) and is a licensed Professional Engineer (PE) in California.