TSVP Talk: "Shape and Motion in Data" by Yasuaki Hiraoka

TSVP Talk: "Shape and Motion in Data" by Yasuaki Hiraoka
Wednesday August 6th, 2025 03:00 PM to 04:00 PM
L5D23 and zoom
Lecture

Description

Speaker: Yasuaki Hiraoka (Kyoto University, Japan)

Title: Shape and Motion in Data: Persistent Homology and Optimal Transport in Materials and Life Sciences

Abstract: In modern society, data is overflowing, yet we are not making full use of the true value it contains. To effectively utilize such big data, it is essential to describe the fundamental structures inherent in the data using appropriate mathematical languages, and to employ these descriptive languages in a process that assigns meaning to and facilitates understanding of the mechanisms underlying observable phenomena. In this talk, I will introduce mathematical data descriptors that focus on the "shape" and "motion" of data, utilizing persistent homology and optimal transport. Furthermore, I will discuss the usefulness of these descriptors and the challenges that lie ahead by applying them to problems in materials science and life science. 

Profile: Yasuaki Hiraoka is a Professor at Kyoto University Institute for Advanced Study, Kyoto University, Japan. His research lies at the intersection of mathematics and data science, with a particular focus on topological and geometric data analysis (TDA & GDA). He has played a pioneering role in the theoretical development and interdisciplinary applications of persistent homology. 
His work integrates representation theory and probability theory into the mathematical foundations of persistent homology, contributing to a deeper understanding of its structure and behavior. His research extends beyond pure mathematics to encompass a wide range of scientific collaborations. These include applications of TDA and GDA in materials science, life science, economics, and so on. 
He is actively engaged in bridging mathematics with real-world problems, and his interdisciplinary approach has made a significant impact on both fields. As a leading figure in mathematical data science, Prof. Hiraoka is committed to advancing the mathematical rigor of data analysis methods while fostering collaborations that extend the reach of topology and geometry into diverse scientific domains.
He is an invited speaker of International Congress on Industrial and Applied Mathematics (ICIAM) in 2023. He will be an invited speaker of International Congress of Mathematics (ICM) in 2026.
 
Time: 15:00-16:00, August 6, 2025

Location: OIST, Lab 5, Floor D, Room L5D23

Zoom Link:
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Meeting ID: 947 8296 0593
Passcode: 584111

This talk is part of the Thematic Program TDA PARTI: Topological Data Analysis, Persistence And Representation Theory Intertwined.

※ Please note that this event may be recorded and the videos uploaded. In addition, photos may be taken during the event. These are intended for publication online (the OIST website, social media, etc.)※

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