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How 3D Gaussian Splatting is Transforming Digital Twins [SEI Webcast]
Sei Events 3D Gaussian Splatting
What the webcast is about Topic: 3‑D Gaussian Splatting (3DGS) – a new way to build digital twins.Why it matters: Creates real‑world looking 3‑D models quickly and cheaply.Uses camera or sensor data to make accurate meshes and textures.How it helps today’s world
Use | Benefit |
- | Simulation & training
- | Faster, realistic training for pilots, surgeons, soldiers.|
- | Autonomous vehicles | Better maps and scene understanding for self‑driving cars, drones.|
- | Digital engineering | Quick virtual prototypes for cars, planes, buildings – saves money and time.|
- | Visualization |
Clear, photorealistic views for marketing, design reviews, city planning.| Who can use it Engineers and researchers in computer vision, AI, and simulation.Leaders who want to modernise operations with digital twins.Decision makers looking at new modeling tools.Bottom line 3DGS lets organisations build detailed, true‑to‑life digital twins faster and cheaper, helping them train people, test systems, and design products more safely and efficiently.s
Date: September 23, 2026
Time: 1:00-2:00 PM ET
About the Webcast
Creating high-fidelity digital twins has traditionally been costly and time consuming. A new class of volumetric modeling techniques is changing this paradigm by enabling the creation of photorealistic visual models and geometrically accurate 3D meshes from real-world data. In this webcast, we will explore one emerging approach—3D Gaussian Splatting (3DGS)—and discuss how organizations can leverage these models for applications such as simulation, training, visualization, autonomous systems, and digital engineering.
What Will Attendees Learn?
- How contemporary approaches are enabling faster, more scalable creation of digital twins
- The fundamentals of 3D Gaussian Splatting and practical considerations for using the technology
- How organizations can apply 3DGS-based models to support mission, engineering, and operational needs
Who Should Attend?
- Researchers and engineers working in computer vision, AI, simulation, and digital engineering
- Digital transformation leaders interested in applying digital twin technologies
- Program managers and decision-makers evaluating new approaches for modeling real-world environments
About the Speakers
Matthew Walsh is a Senior Data Scientist within the CERT Division of the Carnegie Mellon University Software Engineering Institute (SEI). His research centers on leveraging artificial intelligence to enhance cyber security and to usher in novel organizational capabilities. Among his recent undertakings, Matthew has explored extensions of system theory to ensure the safety and security of AI systems. Matthew earned a Ph.D. in Cognitive Psychology from Carnegie Mellon University, and a bachelor’s degree in psychology from the Pennsylvania State University.
Dominic Ross is an Autonomy Engineer at Carnegie Mellon University’s Software Engineering Institute (SEI) with over 15 years of expertise in media research and development. His work focuses on generative AI, particularly in the areas of digital twinning, virtual production, and extended reality (XR). Dominic has applied these technologies in modeling and simulation (M&S) environments to develop training capabilities for both human warfighters and autonomous systems.
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