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A relaxed-pace seminar on impromptu subjects related to the interests of the audience.

Everyone is welcome.

The subjects are geometry, probability, combinatorics, dynamics, and more!

In this presentation, I will explore recent advancements in decomposing intricate biorhythmic time series utilizing time-frequency analysis coupled with statistical inference using a nonlinear time-frequency analysis technique known as Synchrosqueezing Transform (SST). Its motivation and application to digital health will be provided. If time permits, I will advocate the necessity of reconsidering what phase is with these refined tools, and discuss its potential application in patients with chronic obstructive pulmonary disease (COPD).