Keynote Speakers

Tao Ju

Washington University in St. Louis
USA

Tao Ju is a Professor in the Department of Computer Science and Engineering at Washington University in St. Louis. He obtained his B.S. and B.A. degrees from Tsinghua University in 2000, and his M.S. and PhD degrees in Computer Science from Rice University in 2005. He conducts research in computer graphics, particularly geometric modeling and shape analysis, and explores applications in biomedicine. He is the Associated Editor-In-Chief for IEEE Transactions on Visualization and Computer Graphics and an Associate Editor of Computer Graphics Forum, Computer-Aided Design, Graphical Models, and Computational Visual Media. He has served on the program committees of many top conferences in computer graphics and chaired the program committees of Pacific Graphics (2007), SGP (2018), and GMP (2019). His research is funded by NSF and NIH, including an NSF CAREER award in 2009.

Title: Shape and Topology Analysis for Plant Root Phenotyping

Abstract: Roots, the "hidden" half of plants, play a vital role in the development and function of plants. Recent advances in imaging (e.g., CT and MRI) have allowed biologists to "see" the structure and growth of roots in 3D. However, due to the complexity of roots and the limitations of imaging, accurate and efficient extraction of quantitative root information (e.g., root shape and branching hierarchy) needed for biological studies still faces many challenges. In this talk, I will present several recent algorithms for 3D shape and topology analysis that are motivated by the need to address these real-world challenges. These algorithms have enabled the development of a computational phenotyping pipeline that is now routinely used in a biology lab.

Peng Song

Singapore University of Technology and Design
Singapore

Peng Song is an Assistant Professor of Computer Science at Singapore University of Technology and Design (SUTD). Prior to joining SUTD in 2019, he was a research scientist at EPFL, Switzerland, and an Associate Researcher at University of Science and Technology of China. He received his PhD from Nanyang Technological University, Singapore in 2013, his master and bachelor degrees both from Harbin Institute of Technology, China in 2010 and 2007 respectively. Peng’s research interest is in computer graphics, with a particular focus on geometry modeling, computational design, and digital fabrication. He has served as a co-organizer of a weekly web series on Computational Fabrication, and a program committee member of several leading conferences including SIGGRAPH Asia, Pacific Graphics (PG), and Symposium on Solid and Physical Modeling (SPM). His research works can be found at: https://sutd-cgl.github.io/

Title: Computational Design of Geometric Puzzles

Abstract: Geometric puzzles are nontrivial geometric problems that challenge our ingenuity. The task of solving these puzzles is to put together the puzzle pieces to form a meaningful 3D shape. Traditionally, the design of a new geometric puzzle requires hours or even days of mental work of skilled professional. With the recent advance of digital fabrication, there is an interest and need to design personalized geometric puzzles for general users such as puzzle enthusiasts, collectors, and players. To address this challenge, researchers in computer graphics have developed computational techniques for designing a variety of geometric puzzles. In this talk, I will review state-of-the-art works on computational design of geometric puzzles, and introduce our recent works in this topic. In particular, I will focus on a specific class of geometric puzzles called interlocking puzzles, and formulate the design of interlocking puzzles as an assembly-aware shape decomposition problem. I will introduce computational techniques to design three different kinds of interlocking puzzles, and show how these techniques enable the design of interlocking puzzles that cannot be achieved by the previous methods.

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