Welcome to the Computational multiphysics and Machine Learning (CML) Lab in the Department of Mechanical Engineering at the University of British Columbia, Vancouver.
The CML Lab advances computational physics, multiphysics modeling, experimental observations, and physics-guided machine learning for complex engineering systems. Our research focuses on developing accurate, efficient, robust, and scalable methods for fluid-structure interaction, multiphase flows, marine hydrodynamics, underwater acoustics, flow-induced vibration, coupled fluid-elastic systems, bioinspired engineering, and marine robotics. A central goal of the Lab is to create predictive digital twins and digital engineering tools that connect fundamental physics, experimental data, and practical design. We develop high-fidelity simulations, reduced-order models, data-driven methods, and scientific machine learning frameworks that support reliable prediction, decision-making, control, and optimization in offshore and marine engineering, aerospace systems, bioinspired propulsion, and intelligent ocean technologies.
Our research is guided by two principles: cross-cutting scientific impact and practical engineering relevance. By cross-cutting, we mean methods and insights that go beyond isolated physical-field simulations to capture coupled, multi-field, and multi-domain interactions across complex interfaces. By practical relevance, we mean computational and experimental tools that can inform real engineering design, improve system performance, reduce emissions and underwater noise, support safe autonomous operation, and contribute to environmental sustainability, maritime security, and responsible ocean use.
The Lab works closely with academic collaborators, industrial partners, government agencies, defence and security stakeholders, and Indigenous communities to translate advances in computational science and experimental discovery into deployable engineering technologies. We gratefully acknowledge the generous support of UBC, NSERC, Mitacs, Transport Canada, Seaspan, and our many industry, government, and community partners.
