Title: Mathematics in Data Science

Speaker: Zuowei Shen, National University of Singapore

Date: Tuesday, March 24, 2026, 9:00 AM

Venue：Room 225, Building 56, Shouxihu Campus

Abstract：In the contemporary era of big data, the discovery, interpretation, learning, and exploitation of information, knowledge, and resources embedded within data constitute a driving force for scientific and technological innovation, societal advancement, and the enhancement of human quality of life and professional competence. Nevertheless, the inherent complexity of data structures, coupled with elevated expectations regarding their prospective value, presents formidable challenges to the progression of data science as a discipline. These very challenges, however, concurrently portend expansive opportunities for interdisciplinary application.

In this presentation, we shall elucidate the foundational role of mathematics in the big data epoch through an examination of wavelet theory and its ramifications in image and video processing, compressed sensing, and machine learning. Furthermore, we shall critically interrogate the mechanisms by which mathematical methodologies propel the evolution of data science, whilst delineating the intellectual and methodological challenges confronting mathematicians in this data-intensive landscape.

Organizer：School of Mathematics

Inviter: Zuhan Liu

Students and teachers are welcome.