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Program

Exhibitor Tech Spotlight Stage

Monday, November 9th at 1:15pm

Jordan Olson

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.

Speaker 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

Jordan Olson

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.

Speaker 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

Jordan Olson

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.

Speaker 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.

 


 

Tuesday, November 10th at 12:30pm

Tanner Kirk

Speaker: Tanner Kirk, Staff Research Scientist and the Alloy Lead

Presentation: From Alloy to Assembly: Practical AI for Modern Manufacturing

Description: Metal manufacturing faces significant design challenges due to the coupled dependencies among alloy composition, processing parameters, and structural geometry. SandboxAQ addresses these challenges holistically through an AI-driven approach powered by Large Quantitative Models (LQMs) and knowledge graphs. Discover how physics-informed LQMs accurately predict mechanical properties across diverse compositions, manufacturing methods, and process variables. Furthermore, see how integrating knowledge graphs with topology optimization enables the simultaneous optimization of component geometry, material choice, and manufacturing route against system-level objectives.

Speaker Biography: Tanner Kirk is a Staff Research Scientist and the Alloy Lead at SandboxAQ. Tanner leads the development of quantitative models that integrate physics-based techniques with AI and machine learning to predict alloy microstructure and properties. His work at Sandbox also focuses on building software that leverages models and knowledge graphs to guide decision making for metal manufacturing. He holds a Ph.D. in Mechanical Engineering from Texas A&M University, with a specialty in Integrated Computational Materials.

 


 

Tuesday, November 10th at 2:45pm

Dr. Shaurya Prakash

Speaker: Dr. Shaurya Prakash

Presentation: Overview of Mechanical and Aerospace Engineering at The Ohio State University

Description: Forthcoming

Speaker Biography: Forthcoming