Ming-Han Wu, with co-author Yi-Hsi Yeh, supervised by Dr Lan, has secured third place in the Best Paper Award competition at the AASRC Conference. Their study examined how variations in wing phase shift affect thrust generation in a robotic dragonfly, offering insights that contribute to ongoing research in bio-inspired flight.
Dr Lan and Dr Lai’s latest study, ‘Accelerating Flapping Flight Analysis: Reducing CFD Dependency with a Hybrid Decision Tree Approach for Swift Velocity Predictions’, has been published in Physica D: Nonlinear Phenomena. The research introduces a novel framework combining signal decomposition and decision tree algorithms, reducing computational time by up to 75% while maintaining high accuracy. Validated with damselfly data, this approach accelerates flapping flight analysis and supports the efficient design of micro air vehicles (MAVs), offering a scalable solution for future aerodynamic research.
For more information please refer to https://doi.org/10.1016/j.physd.2025.134618.
Dr Lan gives a speech entitled ‘Machine Learning in Flapping Flight Transient Acceleration Modelling’ at CSME 2022.
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