Mathematics and Scientific Computation Session 

Session 1 : Probability theory and related fields 

Date: September 11 (14:00-17:00)   Venue: Information Science Building U602

中野史彦

Fumihiko Nakano 

Affiliation:

Mathematical Institute,  Tohoku University, JP

Title:

Scaling limit of random Schroedinger operators 

金璟允

Kyung-Youn Kim 

Affiliation:

Department of Applied Mathematics, National Chung Hsing University, TW

Title:

Potential theory of aniostropic Markov processes

Session 2 : Applied Mathematics in Physics and Life Science 

Date: September 11 (14:00-17:00)   Venue: Information Science Building U501

德田有矢

Yuya Tokuta 

Affiliation:

Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, JP

Title:

Optimal transport theory applied to gene expression analysis

戴佳原

Jia-Yuan Dai 

Affiliation:

Department of Applied Mathematics, National Chun-Hsing University, TW

Title:

Pattern-selective feedback stabilization of ginzburg-landau spiral waves  

Session 3 : Scientific Computing and Applications 

Date: September 12 (09:30-12:00)   Venue: Information Science Building U501

赤間陽二

Yohji Akama 

Affiliation:

Mathematical Institute,  Tohoku University, JP

Title:

Correlation matrix of equi-correlated normal population: fluctuation of the largest eigenvalue, scaling of the bulk eigenvalues, and stock market

鄧君豪

Chun-Hao Teng 

Affiliation:

Department of Applied Mathematics,National Chun-Hsing University, TW 

Title:

High-order accurate methods for shallow water equations

Session 4 :  Machine Learning and Probability 

Date: September 12 (09:30-12:00)   Venue: Information Science Building U301

NGUYEN Thanh Binh 

 

Affiliation:

Department of Computer Science, University of Science, Vietnam National University in Ho Chi Minh City, VN

Title:

Learning for amalgamation: a multi-source transfer learning framework for sentiment classification

戴淯琮

Yu-Tsung Tai

Affiliation:

Artificial Intelligence & Data Science, National Chung Hsing University, TW

Title:

Interval-valued probability measures and their law of large numbers