学术报告

表示论,几何与范畴化研讨会 Conference on Representation Theory, Geometry and Categorification

表示论,几何与范畴化研讨会

Conference on Representation Theory, Geometry and Categorification


Beijing Institute of Technology (Liangxiang Campus)

Beijing, China


(Arrival on 06/23, Departure on 06/29)


Conference on Representation Theory, Geometry and Categorification will be held at Beijing Institute of Technology (Liangxiang Campus, 北京理工大学良乡校区,which is located in the Fangshan District in Beijing) during June 17-28, 2024. The main goal is to have various aspects of representation theories to get together to share new research results, to discuss emerging new research directions, and to increase interaction among different mathematical areas involving representation theory, geometric, categorification  as well as to build connections to other fields of mathematics.


BTW : During the preceding week from June 17 to 22, there will be “Lecture Series in Representation Theory”. 


Invited Speakers:

Huanchen Bao (National University of Singapore, Singapore)

Ben Elias (University of Oregon, USA)

Jiepeng Fang (Peking University,China)

Mengmeng Gao (Tongji University, China)

Euiyong Park (University of Seoul, Korea)

Hankyung Ko (Uppsala University, Sweden)

Pengcheng Li (Tsinghua University, China)

Kang Lu (University of Virginia, USA)

Ming Lu (Sichuan University, China)

Sian Nie (Chinese Academy of Sciences, China)

Hebing Rui (Tongji University,China)

Linliang Song (Tongji University, China)

Changjian Su (Tsinghua University, China)

Daniel Tubbenhauer (University of Sydney, Australia)

Michela Varagnolo (Université de Cergy-Pontoise, France)

Bart Vlaar (Tsinghua University, China)

Weiqiang Wang (University of Virginia)

Harold Williams (University of South California, USA)

Weinan Zhang (Hongkong University, China)

Xiaoting Zhang (Capital Normal University, China)


Hotel:

All participants will be staying in the hotel:

Beijing Northern Spring Conference Center (北方温泉会议中心)

Tel : +86 (0)10-61353521

Address: Meihua Street No. 7, Fangshan District, Beijing, China

Tips: The distance from the hotel to Beijing Institute of Technology (Liangxiang Campus) is around 3 kilometers. The conference will provide shuttles between the hotel and campus for all participants.


Travel:

From the airport to hotel: We would like to recommend you take a taxi. Taxi from Beijing Capital International Airport (PEK) / Daxing International Airport (PKK) to Hotel:

1. The distance from Beijing Capital international Airport (PEK) to the hotel is around 70 kilometers. It will take about 1.5-2 hours and cost around RMB 200 in the day time (5:00-23:00) or RMB 240 at night (23:00-5:00) from the Beijing Capital international Airport (PEK) to the hotel.

2. The distance from Daxing International Airport (PKK) to the hotel is around 50 kilometers. It will take about 1-1.5 hours and cost around RMB 130 in the day time (5:00-23:00) or RMB 160 at night (23:00-5:00) from Daxing International Airport (PKK) to the hotel.

From train stations to hotel: There are several train stations in Beijing.You can take a taxi. If you choose to take subway, you may need to make transfer and eventually take the subway Fangshan Line (房山线) to get off at Liangxiang Daxuecheng North (良乡大学城北). It is around 4 kilometers from there to the hotel and we recommend you take a taxi as the public transportation from the subway station to the hotel is inconvenient.


Registration:

Please either scan the following QR code or send your registration information including name, gender, affiliation, position (faculty or student), phone, email, arrival and departure information to Lei Shi 3120195738@bit.edu.cn. The deadline for registration is 05/31/2024. There will be no registration fee. No financial support can be provided for participants except invited speakers.  

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Organizers:

Jinkui Wan (Beijing Institute of Technology)

Weiqiang Wang (University of Virginia)


Contact:

Jinkui Wan (+86 13520430658)

Lei Shi (+86 17764576653)

Shixuan Wang (+86 18811539683)

Lan Zhou (+86 18331556251)

Minjia Chen (+18810592737)