On Wednesday the 1st of April 2026, M.Eng. Chengkun Li defends his PhD thesis on Surrogate-based methods for efficient Bayesian posterior computation. The thesis is related to research done in the ...
A digital twin designed for the Atikokan biomass power plant uses science-based Bayesian machine learning methods combined with surrogate models developed from a suite of validated, multi-physics ...
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AI is reinventing microfluidic design speed
Artificial intelligence is accelerating the design of microfluidic devices, replacing months of manual iteration with rapid, data-driven optimization. Techniques like Bayesian optimization and machine ...
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