World Conference on Uncertainty Quantification and Scientific Machine Learning (WCUQSML)

WCUQSML is a 1-day conference in Chiang Mai, Thailand on 9 Jan 2027. Abstract deadline: 8 Dec 2026. Fees: 149 - 270 USD. Organizer: Society for Engineering and Research.

This conference invites global scholars and industry professionals to explore the intersection of uncertainty quantification and scientific machine learning. This event focuses on the latest advancements in methodologies for quantifying uncertainty in models used across various scientific disciplines. Participants can share their latest research findings through podium presentations, posters, or interactive workshops. Topics of interest include integration of machine learning with uncertainty analysis, statistical methods for model validation, and applications in fields such as engineering, finance, and environmental science. The conference aims to stimulate discussions on practical challenges and theoretical developments, fostering an environment of collaboration and knowledge sharing. Attendees can anticipate a program rich with diverse topics, offering opportunities to connect with experts and explore future directions in this fast-growing area of research.

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Listing ID: CA2860326