Speaker: Prof. Yingcai Wu (College of Computer Science and Technology, Zhejiang University)
With the rapid development of sensing technologies and wearable devices, large amounts of sports data have been acquired daily. The data usually implies a wide spectrum of information and rich knowledge about sports. However, extracting insights from the complex sports data has become more challenging for analysts using traditional automatic approaches, such as data mining and statistical analysis. Visual analytics is an emerging research area which aims to support “analytical reasoning facilitated by interactive visual interfaces.” It has proven its value to tackle various important problems in sports science, such as tactics analysis in table tennis and formation analysis in soccer. Visual analytics would enable coaches and analysts to cope with complex sports data in an interactive and intuitive manner. In this talk, I will discuss our research experiences in visual analytics of sports data and introduce several recent studies of our group of making sense of sports data through interactive visualization.
Bio:
Yingcai Wu is a ZJU100 Young Professor at the State Key Lab of CAD & CG, College of Computer Science and Technology, Zhejiang University. His main research interests are in visual analytics and human-computer interaction, with focuses on sports analytics, urban computing, and social media analysis. He obtained his Ph.D. degree in Computer Science from the Hong Kong University of Science and Technology (HKUST). Prior to his current position, Yingcai Wu was a researcher in the Microsoft Research Asia, Beijing, China from 2012 to 2015, and a postdoctoral researcher at the University of California, Davis from 2010 to 2012. He has published more than 50 refereed papers, including 28 IEEE Transactions on Visualization and Computer Graphics (TVCG) papers. His three papers have been awarded Honorable Mention at IEEE VIS (SciVis) 2009, IEEE VIS (VAST) 2014, and IEEE PacificVis 2016. He was a paper co-chair of IEEE Pacific Visualization 2017, ChinaVis 2016, ChinaVis 2017, and VINCI 2014. He was also the guest editor of IEEE TVCG, ACM Transactions on Intelligent Systems and Technology (TIST), and IEEE Transactions on Multimedia.