蓋婭科普講座系列
GAIA STEM Lectures Series
為了鼓勵更多優秀女青年學生對基礎科學的研究工作産生興趣，我們安排一個每月一次的線上科普講座，邀請全球傑出華人女科學家講述她們正在進行的前沿研究以及入門的秘訣。同學們参加這個講座，有機會和世界一流科學家對話和討論，一方面可以吸收新知，一方面也可以從中尋找她們的楷模和方向，所以非常歡迎報名参加。
主持人 / Moderator
施如齡 教授 ( 國立中央大學 網路學習科技研究所 )
即將舉行 / Coming Next
【蓋婭科普講座系列】
講題：How Computers Organize What We See (電腦如何組織我們所看到的資訊？)
講者：FH-Prof. Wu Hsiang-Yun (吳湘筠 FH教授)
日期及時間 : 4/18 (六) 下午 16：00 (GMT+8)
*會議連結將於活動前一天發送至您的信箱 The Link will be sent to your email the day before the lecture, thank you.
吳湘筠 FH教授
FH-Prof. Wu Hsiang-Yun
Abstract / 摘要
Today, computers help us work with huge amounts of information, including structured data (such as numerical, categorical, and network data) and unstructured data (such as text, images, and audio), across many application domains. However, due to the current big data boom, showing everything in detail on a screen quickly becomes infeasible. Instead of helping us understand, visual overload can overwhelm our brains.
Visualization is a field of computer science that combines the computing power of machines with human perception to amplify cognition and help people gain insight into large and complex datasets. In this talk, I focus on how computers organize data and visual representations so that complex information becomes accessible not only to domain experts but also to students and the general public. The goal is to reduce visual clutter and help people focus on what truly matters. To achieve this, ideas from computer science, human behavior, and visual design are integrated. Our framework is based on networks—structures made of nodes and connections, like social networks or subway maps. It consists of three main components: (1) Data-Driven Geometry Management, (2) Human–Data Interaction Management, and (3) Visual-Enhanced Perception Management. By understanding how computers organize visual information, we can design clearer visual outputs, more intuitive interactions, and digital tools that work with our brains rather than against them.
Introduction / 簡介
Prof. Hsiang-Yun Wu is an FH Professor at the Department of Media and Digital Technologies, St. Pölten University of Applied Sciences in Austria. After receiving her MSc from National Taiwan University and her PhD from The University of Tokyo, she served as a Project Assistant Professor at both The University of Tokyo and Keio University. She was also a Guest Researcher at the Center for Spatial Information Science at The University of Tokyo from 2015 to 2023. From 2017 to 2019, Prof. Wu was a Marie Skłodowska-Curie Individual Fellow at the Institute of Visual Computing & Human-Centered Technology, TU Wien, under the EU Horizon 2020 program, and later served as a Senior Researcher at TU Wien from 2019. Her research expertise lies in information visualization, visual analytics, and graph drawing algorithms, and she has authored or co-authored over 80 academic publications.
Hsiang-Yun Wu教授目前任職於奧地利聖波爾坦應用科學大學，擔任媒體與數位科技學系FH教授。她於國立台灣大學取得碩士學位，並於東京大學獲得博士學位後，先後擔任東京大學與慶應義塾大學之專案助理教授。2015 年至 2023 年間，她亦擔任東京大學空間資訊科學中心（Center for Spatial Information Science）的客座研究員。在 2017 年至 2019 年間，她獲得歐盟「展望2020計畫」之「瑪麗居里個人研究獎助」，於維也納科技大學視覺計算與人本科技研究所（Institute of Visual Computing & Human-Centered Technology）進行研究，並於 2019 年起擔任維也納科技大學資深研究員。Prof. Wu的研究專長為資訊視覺化、視覺分析與圖形繪製演算法，至今已發表超過 80 篇學術論文。
(由吳湘筠教授於2026年3月修改)
Important experience / 重要經歷
Information Visualization
資訊視覺化
Visual Analytics
視覺分析
Graph Drawing Algorithms
圖形繪製演算法
Research Areas / 研究範疇
FH Professor, Department of Media and Digital Technologies, St. Pölten University of Applied Sciences
聖波爾坦應用科學大學 媒體與數位科技學系 FH教授
EU Horizon 2020 Marie Skłodowska-Curie Individual Fellowship
榮獲歐盟「展望 2020計畫」瑪麗・居禮個人研究獎金
Guest Researcher, Center for Spatial Information Science, The University of Tokyo
東京大學 空間資訊科學中心 客座研究員
Project Assistant Professor, Department of Information and Computer Science, Keio University
慶應義塾大學 資訊與電腦科學系 專案助理教授
Project Assistant Professor, The University of Tokyo
東京大學 專案助理教授
More about the speaker/ 更多關於講者
https://icmt.ustp.at/en/team/hsiang-yun-wu
https://yun-vis.net/pages/research
Lecture Exploration / 講座探索
Previous lectures / 講座回顧
Related Books / 相關書籍
Schedule