| 9:00 - 9:25 | Daniel Tartakovsky (Stanford) | Welcome to Mathematics of Digital Twins |
| 9:25 - 9:50 | Terry Hill (NASA) | 101 Things to consider before building a digital twin |
| 9:50 - 10:30 | Discussion | - |
| 10:30 - 10:55 | Matthew Gordon (Toyota) | Manufacturing minds: How cognitive style and culture affect data science at the Gemba |
| 10:55 - 11:20 | Patrick Petter (Thyssenkrupp) | The intelligent supply chain 4.0: Harnessing digital twins and GNNs for disruption-proof operations |
| 11:20 - 11:45 | Amy Braverman (JPL) | Uncertainty quantification for spatial data in Earth system digital twins |
| 11:45 - 2:00 | Lunch | - |
| 2:00 - 2:25 | Dongbin Xiu (OSU) | Data Driven Approaches to Enable Real-time Digital Twins |
| 2:25 - 2:50 | Fariba Fahroo (AFOSR) and Yuliya Gorb (NSF) | Research needs of digital twins |
| 2:50 - 3:30 | Discussion | - |
| 3:30 - 3:55 | Guannan Zhang (ORNL) | Generative AI for quantifying uncertainties in digital twin predictions using observation data |
| 3:55 - 4:20 | Andrzej Banaszuk (Lockheed Martin) | An overview of existing Digital Twin capabilities and future needs within Lockheed Martin Corporation |
| 4:20 - 4:45 | Boris Kramer (UCSD) | Control-oriented reduced-order models: Opportunities for digital twins |
| 5:00 - 6:00 | Social and Open Discussion | - |
| 6:00 | Dinner | - |
| 9:00 - 9:25 | Maria Han Veiga (OSU) | Reinforcement Learning approaches for Digital Twins |
| 9:25 - 9:50 | Jayendra Ganguli (Pratt & Whitney) | Digital thread and digital twin – gaps in theory, practice, implementation from a OEM, Vendor perspective |
| 9:50 - 10:30 | Discussion | - |
| 10:30 - 10:55 | Xiao-Hui Wu (Exxon) | Surrogates and digital twins: examples at ExxonMobil |
| 10:55 - 11:20 | Jake Hochhalter (NASA) | Old problems but new solutions: Digital twin challenges met through new AI/ML technologies |
| 11:20 - 11:45 | Jouni Susiluoto (JPL) | Kernel methods for high-volume forward and inverse problems in the context of NASA imaging spectroscopy missions |
| 11:45 - 2:00 | Lunch | - |
| 2:00 - 2:25 | Charbel Farhat (Stanford) | A mathematical framework based on probabilistic learning for digital twinning and applications |
| 2:25 - 2:50 | Max Jiang (Waymo) | World modeling for autonomous vehicles |
| 2:50 - 3:30 | Discussion | - |
| 3:30 - 3:55 | Frederic Gibou (UCSB) | JAX-DIPS: Differentiable interface PDE solver |
| 3:55 - 4:20 | Baris Guyaguler (Chevron) | Subsurface digital twin for base business and energy transition |
| 4:20 - 4:45 | Juliane Behrend (ASML) | Digital twin of the EUV source |
| 5:00 - 6:00 | Social and Open Discussion | - |
| 6:00 | Dinner | - |