报告人：Yike Guo
题目：From visualizing data to visualizing mind
时间：2024年7月24日 9:00-10:00
地点：香港科技大学 林护演讲厅 Lam Woo Lecture Theater (LT-B)
主持人：屈华民 香港科技大学
摘要：Data visualization has become an essential tool for making sense of the ever-growing volumes of information we encounter. By translating complex data into compelling visual forms, we can uncover hidden patterns, identify trends, and communicate insights more effectively. However, the power of visualization extends far beyond just data analysis.
In this talk, we will explore how the principles and techniques of data visualization can be applied to the exploration and representation of the human mind itself. Just as data visualization transforms abstract numbers and statistics into intuitive visual models, the visualization of cognitive processes, mental states, and the overall architecture of the mind can lead to transformative breakthroughs in psychology, neuroscience, and our understanding of consciousness. This talk is to give a overview of my journey of from visualizing external world of data to visualizing inner world of mind.
个人简介：Prof. Guo Yike is Provost of the Hong Kong University of Science and Technology and Chair Professor in the Department of Computer Science and Engineering. He became Professor of Computing Science at the Department of Computing of Imperial College London in 2002 and is Professor Emeritus since 2023. Prof. Guo has steered major AI and data science projects in Hong Kong and internationally, particularly in Europe. Most recently, he is working as the principal investigator of the research project “Building Platform Technologies for Symbiotic Creativity in Hong Kong”, which was awarded funding of HK$52.83 million by the Hong Kong Research Grants Council in 2021. Prior to joining HKUST, Prof Guo served as Vice-President (R&D) of the Hong Kong Baptist University and was the founding Director of the Data Science Institute at Imperial College. He is also a Fellow of the Royal Academy of Engineering, the Academia Europaea, the Hong Kong Academy of Engineering Sciences, the Institute of Electrical and Electronics Engineers, the British Computer Society, and the Society for Chinese Intelligence.
报告人：Bongshin Lee
题目：Human-Data Interaction: Data Visualization and Beyond
时间：2024年7月25日 8:30-9:30
地点：香港科技大学 林护演讲厅 Lam Woo Lecture Theater (LT-B)
主持人：屈华民 香港科技大学
摘要：Data has become an essential part of our lives, offering vast opportunities to shape our work, lifestyles, and interactions with the world. Over the last few decades, data visualization has proven to be a powerful tool for gaining and communicating insights, and facilitating informed decision-making in diverse fields. However, visualization research has traditionally focused on narrow aspects of data interaction, emphasizing desktop environments for experts and individuals without disabilities, thereby overlooking the diverse human capabilities and needs. In this talk, I advocate for expanding our research to encompass broader activities and contexts in which individuals interact with data, aiming to serve a more diverse audience. I will share how my research has evolved from concentrated efforts in data visualization to a broader exploration in human-data interaction. I will present recent projects on novel and inclusive data interaction experiences that leverage advancements in input technologies and AI. I will also discuss research avenues to enrich data experiences for a wider audience, making data and data visualization accessible and beneficial to everyone.
个人简介：After 17 years at Microsoft Research in Redmond, USA, Bongshin Lee joined Yonsei University in Seoul, Korea as a Professor in March 2024. She conducts research on data visualization, human-computer interaction, and human-data interaction, with an overarching goal to empower everyone to achieve their goals by leveraging data, visualization, and technological advancements. Lee is the Chair of the IEEE VGTC (Visualization and Graphics Technical Community) and a member of the ACM ISS Steering Committee, and currently serves as the Papers Co-Chair for CHI 2025. She served in various leadership roles including General Co-Chair for ISS 2019 and IEEE PacificVis 2017, Subcommittee Co-Chair for ACM CHI 2021 and 2022 (for the Visualization Subcommittee), Overall Papers Co-Chair for VIS 2021 and 2022, and Papers Co-Chair for IEEE InfoVis 2015 and 2016, as well as IEEE PacificVis 2018. Lee was inducted into the IEEE Visualization Academy in 2020. She received her PhD in Computer Science from the University of Maryland at College Park.