上午：專題演講

09：00 - 09：15

開幕

09：15 - 10：00

講題：Modern Massive Data Analysis and Sleep Stage Estimation from the Respiratory Signals

主講人：吳浩榳 教授 (加拿大多倫多大學數學系)

10：00 - 10：45

講題：Signal Processing for Speech and Hearing Application

主講人：吳炤民 教授 (中央大學電機系)

11：00 - 11：45

講題：Biosignal Processing for Multi-channel Real-time Epileptic Seizure Detection

主講人：楊家驤 教授 (台灣大學電機系)

午餐

下午：Tutorial

01：15 - 03：00

講題：Concentration of Frequency and Time

Concentration of frequency and time (ConceFT) is a recently developed time-frequency representation tool. It helps to extract dynamical information hidden inside a given time series, and generalizes our understanding of power spectrum or spectrogram. It depends on the nonlinear time-frequency analysis, like synchrosqueezing transform, the multi-taper analysis and high dimensional geometric properties of noise. The extracted dynamical features could be the input to other high dimensional data analysis tools.

主講人：吳浩榳 教授 (加拿大多倫多大學數學系)

03：00 - 03：15

break

03：15 - 05：00

講題：Diffusion Maps

Diffusion map is an algorithm introduced by Coifman and Lafon in 2006 which is useful for dimension reduction/feature extraction and organization of data. Unlike other popular methods such as Principal Component Analysis (PCA) and Multi-dimensional Scaling (MDS), diffusion maps are non­linear and preserve local structures. In this talk, I will discuss diffusion maps and its applications.

主講人：林楨芸 博士 (加拿大多倫多大學數學系)