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Date: Monday October 4, 2021
Time: 4:30pm PDT, 5:30pm MDT (note time)
Room: Zoom https://uidaho.zoom.us/j/89431143341?pwd=NlVUR1k2S1RKa2h1WFBpbUVkVmRSZz09
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Abstract: This talk will first introduce the recently emerging interdisciplinary research topics of computational aesthetics and aesthetic computing and discuss their difference and complementary roles. We will then focus on computational aesthetics, in particular, on the aesthetic measurement of paintings. Based on the mathematician Birkhoff's 1933 seminal theory of aesthetic measurement, our first work was to measure the white space usage in Master Wu Guanzhong's paintings, and then the complexity of Chinese ink paintings. Our latest work is to compute the visual order of both Chinese ink paintings and Western styled oil painting and compare their commonality and differences, possibly influenced by different cultural backgrounds. If time permits, we will mention our recent efforts in generating abstract images of styles of Kandinsky, Miro, Pollock, and Picasso, and information visualization.
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Kang Zhang is a professor in DST, BNU-HKBU United International College (UIC). Prior to joining UIC, he was a full professor with tenure at the University of Texas at Dallas, and between 1982 and 2000, held academic positions in China, the UK and Australia. He was a Fulbright Distinguished Chair visiting Czech Republic in Fall 2019 and an ACM Distinguished Speaker. Zhang received his B.Eng. in Computer Engineering from University of Electronic Science and Technology of China in 1982, Ph.D. from the University of Brighton, UK, in 1990, and Executive MBA from the University of Texas at Dallas in 2011. Prior to joining UT-Dallas, Zhang's current research interests include computational aesthetics, visual languages, and software engineering; and has published 8 books, and over 100 journal papers in these areas. He is on the Editorial Boards of Journal of Big Data, The Visual Computer, Journal of Visual Language and Computing, International Journal of Software Engineering and Knowledge Engineering, International Journal of Advanced Intelligence, and Journal of Software.