中科院数学与系统科学研究院
数学研究所
学术报告会
报告人：Prof. Sanjiang Li （University of Technology Sydney, Australia）
题 目：Compact Representation and Efficient Reasoning about Big Spatial Data
时 间：07.04(星期六), 14:00--15:00
地 点：数学院南楼N205室
Abstract:
Spatial information abounds in human activities, but exact quantitative spatial knowledge are often unavailable or not necessary. In these cases a qualitative approach will be very helpful. Qualitative spatial reasoning (QSR) is widely known as the Artificial Intelligence (AI) approach to spatial knowledge representation and reasoning. This talk will first introduce basic notions and techniques developed in QSR, and then will focus on overviews of our most recent research in the compact representation and efficient reasoning about big spatial data.
Short Bio:
Sanjiang Li received his B.Sc. and Ph.D. degrees in mathematics from, respectively, Shaanxi Normal University, in 1996, and Sichuan University, in 2001. He is now a full professor in Centre for Quantum Computation & Intelligent Systems (QCIS), Faculty of Engineering & Information Technology, University of Technology Sydney (UTS). Before joining UTS, he worked in the Department of Computer Science and Technology, Tsinghua University from September 2001 to December 2008. He was an Alexander von Humboldt research fellow at Freiburg University from January 2005 to June 2006; held a Microsoft Research Asia Young Professorship from July 2006 to June 2009; and held an ARC Future Fellowship from January 2010 to December 2013.
His research interests are mainly in spatial reasoning and artificial intelligence. The main objective of his research is to establish expressive representation formalism of spatial knowledge and provide effective reasoning mechanisms. This will contribute significantly to the advancement of knowledge in qualitative spatial reasoning and smart information use in geographical information systems. Some of his most important work has been published in AIJ, IJCAI, AAAI, KR, and ECAI.
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