摘要：Visualization has become an essential tool in many areas of study using a data-driven approach to problem solving and decision making. However, it can be computationally expensive and also take both novices and experts substantial effort to derive desired visualization results from data for exploration, analysis, or storytelling. Amid active research in new visualization designs, there is a growing interest and opportunity in applying machine learning (ML) to perform data transformation and to assist in the generation of visualization, aiming to strike a balance between cost and quality/interactivity. In this talk, I will first give a brief discussion on the interplay between ML and visualization, and then I will use three of our projects to show how we leverage ML for better supporting common data visualization and analytics tasks.

簡歷：Kwan-Liu Ma (馬匡六) is a Distinguished Professor of Computer Science at the University of California-Davis, where he directs the Visualization and Interface Design Innovation (VIDI) research group and the UC Davis Center of Excellence for Visualization. His research spans the fields of visualization, computer graphics, human computer interaction, and high-performance computing. Professor Ma received his PhD in computer science from the University of Utah in 1993. During 1993-1999, he was with ICASE/NASA Langley Research Center as a research scientist. He joined UC Davis in 1999. For his significant research accomplishments, Professor Ma received the NSF Presidential Early-Career Research Award (PECASE) in 2000 from President Clinton, was elected an IEEE Fellow in 2012, received the 2013 IEEE VGTC Visualization Technical Achievement Award, and was inducted into the Visualization Academy in 2019. Over the years, Professor Ma has been actively serving the research community by playing leading roles in several professional activities including VizSec, Ultravis, EGPGV, IEEE VIS, IEEE PacificVis, and IEEE LDAV. He previously served as papers co-chair for SciVis, InfoVis, EuroVis, PacificVis, and Graph Drawing. In addition, he was an associate editor for the IEEE Transactions on Visualization and Computer Graphics (TVCG) during 2007-2011, IEEE Computer Graphics & Application (CG&A) during 2007-2019, and the Journal of Computational Science and Discovery during 2009-2014. Professor Ma presently serves on the IEEE VIS Steering Committee, the steering committee of IEEE PacificVis, and the editorial boards of the ACM Transactions on Interactive Intelligent Systems (TiiS), the Journal of Visualization, the Journal of Visual Informatics, and the Journal Computational Visual Media.

摘要：With the distance between the screens and our eyes getting closer from movie, TV, smartphone to XR, computer vision plays a more important role to reshape our future. On the one hand, it could visualize our illusions to create a whole new immersive experience in the Metaverse for social networking; on the other had, it could also be used to visualize the simulation of digital twin of AI models that built upon real world data for smart applications of education, manufacturing, medicine, agriculture and transportation among others. In this talk, we shall share our approaches integrating AI, Big Data, Cloud Computing, IoT, Edge Computing, 5G and FinTech as the new platform to enable multimedia as the new visionary tool to tackle the challenges of future digital health and aging problem for post covid era.

簡歷：Dr. Ted Chang is Chief Technology Officer (CTO), Vice President and General Manager of Quanta Computer, known as the world’s biggest computer ODM and laptop computer maker. Along with his role as CTO, he oversees corporate technology strategy and global research partnership. Dr. Chang takes lead of Quanta Research Institute (QRI) for advanced technology research and BU12, a business unit dedicated to AIoT solutions for e-Heath, Smart Medicine and Smart Agriculture.

Appointed by the President of Taiwan (ROC), Dr. Chang has served as the representative to APEC Business Advisory Council (ABAC) since 2019. He serves as Co-Chair of Digital Working Group in ABAC 2022 and as Co-Convenor of Supporting Emergent Technology Taskforce with focus on AI and digital health for ABAC 2021.

Academic wise, Dr. Chang holds various guest professorships in EECS colleges of National Taiwan University (NTU), National Cheng-Kung University (NCKU), Asia University (AU) and AI college of National YangMing Chao-Tung University (NYCU).

Dr. Chang is board director of Epoch Foundation, Spring Foundation, Quanta Culture and Education Foundation (QCEF), Chines Medical Advancement Foundation and Ming Dao Culture and Education Foundation. He is member of many advisory and project committees of Ministry of Economic Affairs (MoEA), Ministry of Science and Technology(MoST), Ministry of Health and Welfare (MoHW) as well as major universities in Taiwan on innovation, entrepreneurship and advanced technology.

Among many awards and honors, Dr. Chang recently received IF Design Award on Smart Agriculture and two REDDOT Design Awards on Smart Medicine in 2021. He received distinguished alumni awards from both National Cheng-Kung University and National Chia-Yi High School in 2021. In 2020, He led Quanta-NCTU Joint AI Center to win CES Innovation Award and WITSA (World Innovation, Technology, Service Alliance)－PPP Silver Award. He was invited as the chief advisor to Taiwan Pavilion "Swingphony" at London Design Biennale 2020.

Dr. Chang has over 200 patents granted globally by January 2022. One of his most important inventions is "A Network Object Delivery System for Personal Computing Device", in which the "Application Module Store" was introduced and well defined. The invention was filed back in 2001 with US patent granted in 2010, several years ahead of the modern smartphone, Apple App Store and Google Play were introduced to the market.

Dr. Chang joined Quanta in 2000, promoted as VP in 2009 and further promoted as the first CTO in Quanta history in 2010. Starting in 2004, Dr. Chang has initiated and served as the program director of the T-Party Project, a 10-year 45Mil. strategic research collaboration project with Computer Science and Artificial Lab (CSAIL) of Massachusetts Institute of Technology (MIT) on future computing and communication, (https://www.csail.mit.edu/Quanta.html). In 2019, Quanta kicked off another 5 years collaboration with MIT CSAIL with focus on computational health and AI Medicine. Dr. Chang has been a visiting scientist for MIT CSAIL for over ten years. Dr. Chang's past projects, One Laptop Per Child (OLPC) and the QRI research model, were published as business cases by Harvard Business School.

Dr. Chang holds B.S. (88), M.S. (92) and Ph.D. (96) degrees, all from the Institute of Aeronautics and Astronautics, National Cheng-Kung University. Dr. Chang’s research interests now focuses on human centric innovation for smarter lifestyle through AIoT (Artificial Intelligence of Things) that integrate IoT, cloud computing, big data analytics and machine learning. He is dedicated to create a sustainable model so that great ideas in research lab can turn into great social impacts through product and business innovation.