Registration for the 13th Peking University Visual Development Frontier Postgraduate Summer School in 2022 is open

Original link: http://vis.pku.edu.cn/blog/2022summerschool/

The 13th 2022 Peking University Visual Development Frontier Postgraduate Summer School will be held online from July 12 to 20. In the summer, well-known scholars at home and abroad with profound attainments in the field of visualization research were invited to systematically discuss the cutting-edge theories and research methods in this field for the students. This course mainly focuses on the application and development of visualization in interdisciplinary fields, especially the combination of humanities, social sciences, and technology. Students and scholars in visualization-related majors, design majors and application fields are welcome to sign up.
Submit application materials page: http://www.chinavis.org/s22/register/index.html

Introduction to the course <br /> The Visualization Summer School invites well-known scholars with profound attainments in the field of visualization research at home and abroad to systematically discuss cutting-edge theories and research methods in this field. This course mainly focuses on the application and development of visualization in interdisciplinary fields.
July 12-14, 2022 is a basic knowledge course. This part mainly teaches visualization technology (combined with the content of Peking University’s online visualization MOOC) and related basic knowledge of information design. July 15-19, 2022 is the frontier course. July 20 is the course summary.
Course website: http://chinavis.org/s22/ .

Teaching method <br /> Teaching in English.
The course is online.

Student Fees <br /> This summer school does not charge tuition fees to current students. The cost of the company or the participants who have already worked will be notified separately.

Recruitment target <br /> The summer school focuses on recruiting postgraduates and doctoral students in related fields. Recruited students are divided into formal students and informal students. It is planned to recruit no more than 60 formal students, of which at least 1/5 is design background and 1/5 is application field background (including humanities, social sciences, sciences, engineering, etc., and needs to complete course design requirements. Course design will be assigned Computer background, application field and design background are completed together. Those who pass the course design assessment can obtain the summer school completion certificate issued by Peking University Graduate School. At the same time, informal students are recruited, and after completing the course questionnaire and corresponding tasks through online lectures, A list will be made on this website to demonstrate participation in the course.

Registration method <br /> Students are selected by free registration and merit-based admission. A letter of recommendation from a recommender is required to apply. The application materials are reviewed by the expert committee to decide the admission list. The master’s, doctoral students and young teachers of relevant majors in domestic universities and research institutes, or enterprises engaged in related research and development can apply. The summer school also encourages a small number of outstanding senior undergraduates who have a strong interest in the field of visualization and are interested in applying for Peking University postgraduate studies. Please indicate relevant information when applying.
Submit application materials page : http://www.chinavis.org/s22/register/index.html
Two letters of recommendation are required for formal student applications, and one letter of recommendation is required for informal student applications. Please send the recommendation letter to [email protected]. After being approved by the expert committee, you will receive an email notification. Please fill in the required information on the Submit Application Materials page.
The summer school registration deadline is May 20, and admission notices will be sent to the email addresses submitted during registration in batches.

Brief introductions of some summer school speakers:

Yuan Xiaoru (Peking University): Dr. Yuan Xiaoru is a researcher and doctoral supervisor of the School of Information Science and Technology, Peking University, Deputy Director of the Key Laboratory of Machine Perception and Intelligence of the Ministry of Education, and Executive Deputy Director of the National Engineering Laboratory for Big Data Analysis and Application. In early 2008, he established a visualization and visual analysis laboratory at Peking University. His research interests include complex flow field data visualization, high-dimensional/spatiotemporal data, traffic and social media data analysis, and rapid visualization construction methods. His work on high dynamic range visualization won the Best Applied Paper Award at the 2005 IEEE VIS Conference. Since 2013, he has guided the laboratory team to win the IEEE VAST Visual Analysis Challenge 7 times. He has served as a member of the program committee of IEEE VIS, EuroVis, IEEE PacificVis and other international visualization conferences for dozens of times, co-chair of the 2017 IEEE VIS conference paper (SciVis), and founded the China Visualization and Visual Analysis (ChinaVis) conference. Director of China Computer Federation, Distinguished Member, Distinguished Speaker. He is a member of the Big Data Expert Committee of the China Computer Federation, a standing member of the Human-Computer Interaction Committee, and a member of the Computer Aided Design and Graphics Committee. Director of the Chinese Society of Image and Graphics, director of the Visualization and Visual Analysis Professional Committee.

Ruige Xu (Syracuse University, USA): Ruige Xu is currently a professor in the Department of Film and Media Arts at Syracuse University. Her work and research interests include artistic visualization of data, visual music, experimental animation, interactive installations, digital performance and virtual reality. Her works have been exhibited at IEEE VIS Art Project, ACM SIGGRAPH Art Gallery, International Electronic Arts Association (ISEA) Annual Exhibition, Austrian Electronic Arts Festival (ARS ELECTRONICA), Museum of Modern Art in Rome, Italy, Digital Art Center in Los Angeles, USA, etc. She has also worked in computer animation, special effects, digital imaging, web and user experience design in China and the United States. Xu Ruige was the media art consultant of the National Arts Foundation of the United States, the electronic media and film art consultant of the New York State Arts Council, the co-chair of the Pacific Visualization Symposium (IEEE PacificVis) 2019, 2020 Data Storytelling Competition; is the Chinese Visualization and Visual Analysis Co-founder of the ChinaVis art project; currently a member of the executive committee of the Chinese Artists Association in American universities, executive director of the SIGGRAPH Digital Art Association, chairman of the IEEE VIS art project exhibition, and senior chairman of the ChinaVis art project.

Cagatay Turkay (University of Warwick, UK): Cagatay Turkay is an associate professor at University of Warwick. He has a PhD in visualization (University of Bergen), MSc. (Sabanci Uni., Istanbul), and BSc. (METU, Ankara) in Computer Science. He has also served as a visiting research fellow at Harvard University in 2013. His research mainly focuses on the tight integration of interactive visualizations, data analysis techniques and supporting exploratory knowledge and capabilities of experts. He has a special interest in high- dimensional, temporal data from bioinformatics and the biomolecular modelling domain. He has published multiple papers in IEEE TVCG, EuroVis, Computer Graphics Forum, etc., and in 2016, his paper at the IEEE VIS (InfoVis) received an Honorable Mention. He won the Young Researcher Award in EuroVis 2019. He is the open practices chair for IEEE VAST at VIS 2019. He has also served during multiple years on the program committee for IEEE VIS, EuroVis, EuroVA, etc. He has served as a guest ed itor for ACM Transactions on Interactive and Intelligent Systems, IEEE Computer Graphics and Applications and editorial board member for Machine Learning and Knowledge Extraction Journal.

Yvette Shen (The Ohio State University, USA): Yvette Shen is currently an associate professor in the Department of Design, Ohio State University, the head of Visual Communication, and an adjunct professor at the Center for East Asian Studies at Ohio State University. Her current academic expertise involves design methods, creative applications, and pedagogical philosophies for information visualization. Her research areas focus on: how to use visual methods to help people better understand complex and obscure information and increase interest in learning; and how to use information design to promote people’s positive emotions and behaviors. She values ​​interdisciplinary collaboration and problem-solving processes, and is dedicated to exploring functional, creative, and human-nature-centred design solutions to complex problems. Her academic papers have been published on professional platforms such as AIGA Dialectics, Journal of Communication in Healthcare, SEGD, Design Research Society, Digital Humanities Quarterly, Communication Design, HCI, CHI, etc. Her design work has been published and won awards in Creative Quarterly, Applied Arts, GD USA, Adobe Design Achievement Awards, Information is Beautiful, etc.

Jian Chen (The Ohio State University, USA): Jian Chen is currently an associate professor in the Department of Computer Science and Engineering at The Ohio State University. Her main research interests are interdisciplinary interactive data visualization, 3D immersion, and applications in medicine and biology. She and her collaborators have won several conference paper/poster awards. Outside the field of computer science, Dr. Chen and collaborators have published tools for brain science. Her research funding comes mainly from the US National Natural Science Foundation, the US National Institute of Standards and Technology; the Department of Defense, and industry. Before joining The Ohio State University, Dr. Chen was an assistant professor at the University of Maryland, Baltimore County, and was awarded the University President’s Teaching Innovation Award. Previously, Dr. Chen was a postdoctoral fellow in the Department of Computer Science, Ecology and Evolutionary Biology at Brown University. During her Ph.D. under the tutelage of Professor Doug Bowman of Virginia Tech, she worked on engineering simulation and information-rich immersive design. In addition to research and teaching, Dr. Chen is the co-chair of the IEEE VIS 2021 and VIS 2022 papers, and the vice chair of the IEEE Graphics and Visualization Technical Committee (VGTC) Executive Committee Meeting. She was a two-term IEEE Visualization Academy judge.

Zhicheng Liu (University of Maryland, USA): Dr. Zhicheng Liu is an assistant professor in the department of computer science at University of Maryland. His research focuses on scalable methods to represent and interact with complex data, and techniques to enable easy creation of expressive data visualizations . Before joining UMD, he worked at Adobe Research as a research scientist and Stanford University as a postdoc fellow. He obtained his PhD at Georgia Tech. His work has been recognized with a Test-of-Time award at IEEE VIS, and multiple Best Paper Awards and Honorable Mentions at ACM CHI and IEEE VIS.

Niklas Elmqvist (University of Maryland, USA): Niklas Elmqvist is a full professor in the iSchool (College of Information Studies) at University of Maryland, College Park. He received his Ph.D. in computer science in 2006 from Chalmers University in Gothenburg, Sweden . Prior to joining University of Maryland, he was an assistant professor of electrical and computer engineering at Purdue University in West Lafayette, IN. Since 2016, he is the director of the Human-Computer Interaction Laboratory (HCIL) at University of Maryland, one of the oldest and most well-known HCI research labs in the country. His research area is information visualization, human-computer interaction, and visual analytics. He is the recipient of an NSF CAREER award as well as best paper awards from the IEEE Information Visualization conference, the ACM CHI conference, the International Journal of Virtual Reality, and the ASME IDETC/CIE conference. He was papers co-chair for IEEE InfoVis 2016 and 2017. He is also associate editor of IE EE Transactions on Visualization & Computer Graphics, the International Journal of Human-Computer Studies, and the Information Visualization journal, and co-editor of the Morgan & Claypool Synthesis Lectures on Visualization. His research has been funded by both federal agencies such as NSF, NIH, and DHS as well as by companies such as Google, NVIDIA, and Microsoft. He is also the recipient of the Purdue Student Government Graduate Mentoring Award (2014), the Ruth and Joel Spira Outstanding Teacher Award (2012), and the Purdue ECE Chicago Alumni New Faculty award (2010). He was elevated to the rank of Distinguished Scientist of the ACM in 2018, one of only 40 people receiving this recognition that year.

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