Lecture Room A, 4th Floor, The 3rd General Building, NTHU
Organizers:
Shun-Jen Cheng (Academia Sinica)
Meng-Kiat Chuah (National Tsing Hua University)
Shu-Yen Pan (National Tsing Hua University)
Toshiaki Shoji (Tongji University)
Aim & Scope:
The Conference on Algebraic Representation Theory (CART) is conference series that is to be held annually with the first CART in 2019. The duration of each CART is approximately three days and the venue is to rotate among cities in East Asia. The inaugural first CART event will be hosted by the National Tsing Hua University, Taiwan, and partially supported by the NCTS. The main purpose of CART is to bring together Lie theorists of these regions and to provide a forum for them to present and discuss their newest results, and fostering possible future collaborations among mathematicians in East Asia. An important difference of CART is its emphasis on nurturing young mathematicians and mathematical students. The organizers aim to have at least two-thirds of the invited speakers to be junior mathematicians or students in each of the CART events.
Invited Speakers:
Noriyuki Abe (University of Tokyo)
Sota Asai (RIMS, Kyoto University)
Chih-Whi Chen (National Central University)
Jun Hu (Beijing Institute of Technology)
Chul-Hee Lee (Korea Institute for Advanced Study)
Shu-Yen Pan (National Tsing Hua University)
Yosihisa Saito (Rikkyo University)
Toshiaki Shoji (Tongji University)
Linliang Song (Tongji University)
Uh-Rinn Suh (Seoul National University)
Wan-Yu Tsai (National Tsing Hua University)
Hideya Watanabe (RIMS, Kyoto University)
Kai Zhou (Beijing Institute of Technology)
Scientific Committee:
Susumu Ariki: Osaka University
Shun-Jen Cheng: Academia Sinica
Jae-Hoon Kwon: Seoul National University
Satoshi Naito: Tokyo Institute of Technology
Hebing Rui: East China Normal University
Agenda download (click here)
Title & Abstract download (click here)
Conference Website:
http://www.math.nthu.edu.tw/~CART2019/
Sponsors:
National Center for Theoretical Sciences
National Tsing Hua University