Jephian loves anything about matrices, graphs, and their relations.
He mainly works on the inverse eigenvalue problem of a graph and is happy to work on any matrix-graph-related project.
Chih-Wei is a geometer, who is familiar with both analytic and geometric aspects of the Ricci flow.
He investigates geometric problems in Learning theories and RKHS.
ShengLi is a statistician focusing on spatial prediction and high-dimensional data visualization.
He devises algorithms for analyzing large spatial data, for grouping multiple time series, and for decomposing medical images.
Liren is a postdoc. The title of his PhD thesis is Mass Redistribution and Its Applications to the Ground States of Spin-1 Bose-Einstein Condensates.
He is now working on consistency problem of graph Laplacian.
Yu-Chi studies the RKHS.
Her thesis will be about thin-plate splines on the sphere.
Jiun-Yu is involved in "Geostatistics and Clustering".
His thesis will be about grouping multiple time trajectories and visualizing change points based on R shiny.
Daniel's research focuses on Laplacian eigenmap and the spectral clustering.
Guan-Ying's research focuses on the multiplicity of the algebraic connectivity.
Meng-Ting is involved in "Geostatistics and Clustering".
Her thesis will be about count data geostatistics modeling based on block clustering structures.
Chung-Yin studies local PCA.
She uses Matlab to analyze curve-shape data.
Yen-Chun collaborates with business administration researchers.
Her thesis will be about analyzing complicated individual economic decisions based on statistical learning and graph theory.
Ting-Ying's research focuses on the characteristic set of a graph, which can be treated as the center of a graph.
He is interested in the functional analysis aspect of Machine Learning.
He explores various dimension reduction methods for curves, in either supervised or unsupervised sense.
Ms. Chen manages all administrative works.