Schedule

09:00 - 09:10		Intro(10 mins)	Organizers
09:10 - 10:00		Plenary 1 (40 + 10 Q&A)	Nathan Kutz University of Washington
10:00 - 10:20		Keynote 1 (15 + 5 Q&A)	Peter Wooldridge Monolith AI
10:20 - 11:00		Lightning Talks 1 (7*5 + 5 Q&A) Paper #02 -- Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing Paper #03 -- Anomaly Segmentation Network Using Self-Supervised Learning Paper #04 -- Deep Reinforcement Learning for Engineering Design through Topology Optimization of Elementally Discretized Design Domains Paper #05 -- An Intelligent System for Automatic Selection of DC-DC Converter Topology with Optimal Design Paper #06 -- Data-Efficient Training with Physics-Enhanced Deep Surrogates Paper #07 -- Quantile Autoencoder for Anomaly Detection Paper #08 -- Parallel Attention Network using Vector with High Correlation with Label for Remaining Useful Life Estimation	Contributed Speakers
11:00 - 11:20		Keynote 2 (15 + 5 Q&A)	Adarsh Krishnamurthy Iowa State University
11:20 - 12:00		Lightning Talks 2 (7*5 + 5 Q&A) Paper #09 -- Automating the Process of Energy-Technology Invention Paper #10 -- Deep Symbolic Optimization for Electric Component Sizing in Fixed Topology Power Converters Paper #12 -- GANISP: a GAN-assisted Importance SPlitting Probability Estimator Paper #13 -- Differentiable Design With Dynamic Programming Paper #14 -- AI-Driven Design-Space Exploration for Thermo-Fluid Domains Paper #15 -- Grassmannian Shape Representations for Aerodynamic Applications Invited ightning talk: Hardware Acceleration of Message-Passing Networks for Quantum Chemistry	Contributed Speakers
12:00 - 13:30		Lunch break + posters (1 hr 30 mins)	Contributed Speakers
13:30 - 14:20		Plenary 2 (40 + 10 Q&A)	Elizabeth A Holm Carnegie Melon University
14:20 - 15:00		Lightning Talks 3 (7*5 + 5 Q&A) Paper #16 -- Inverse Design of Microstructures via Generative Networks for Organic Solar Cells Paper #17 -- An Epsilon-Frontier for Faster Optimization in Nonlinear Manifold Learning Paper #18 -- Gaussian Process-Driven History Matching for Physical Layer Parameter Estimation in Optical Fiber Communication Networks Paper #19 -- Fast Unsupervised Generative Design for Structural Topology Optimization Paper #20 -- Multi-Fidelity Modeling of Spatio-Temporal Fields Paper #21 -- Deep Generative Models for Geometric Design Under Uncertainty Paper #22 -- Multigrid Distributed Deep CNNs for Structural Topology Optimization	Contributed Speakers
15:00 - 15:20		Keynote 3 (15 + 5 Q&A)	Benji Maruyama Air Force Research Laboratory
15:20 - 15:40		Lightning Talks 4 (3*5 + 5 Q&A) Paper #23 -- Physics Informed Machine Learning with Misspecified Priors: An analysis of Turning Operation in Lathe Machines Paper #24 -- Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components Paper #25 -- Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning	Contributed Speakers
15:40 - 16:00		Keynote 4 (15 + 5 Q&A)	Brian Giera Lawrence Livermore National Laboratory
16:00 - 16:45		Panel discussion (45) Panelists David Tew Venkat Vishwanathan Michael Salpukas Mark Fuge Olga Wodo	Panelists
16:45 - 17:00		Closing (15)	Organizers