The 2nd Young Topologist Seminar

Notice on the postponement of the 2022 Applied Topology Summer School

Due to the current severe epidemic situation in Beijing and the impact of the epidemic management policy, the Applied Topology Summer School, originally scheduled for June 6, 2022-July 1, 2022, has been postponed for one year, and the 2nd Young Topologists Workshop will remain unchanged. The tentative dates for the 2023 Applied Topology Summer School are July 3, 2023 - July 21, 2023. Notification of program rescheduling will also be communicated to registered students and instructors via email.


Introduction

Artificial intelligence (AI) and modern biology are among the most important scientific areas in the world today, and they can lead to technological revolutions and fundamentally change the social landscape. The main trend of biological sciences in the 21st century is the shift from phenomenological and descriptive sciences to quantitative and predictive sciences. Building the "fundamental laws" of biology has become one of the central issues in the development of mathematics in this century. With the help of AI and mathematical tools, biological sciences have achieved significant progress and developments. However, more challenging problems require better mathematical methods and more elaborate AI tools. In recent years, topological methods, including topological data analysis (TDA), have shown great potential for applications in various aspects of AI and molecular biology.

Compared with the boom of TDA in Europe and America, China is still at the startup stage. One good news is, TDA in China is gradually forming its own characteristics, with an emphasis on topological data processing of graphs and networks. In particular, the "path homology" introduced by Professor Shing Tung Yau et al. has great potential of application in AI and bioscience. Undoubtedly, these efforts desire the dedication and commitment of a large number of young scientists. In order to promote the development of applied topology in China, enhance the communication and cooperation among domestic scholars, and cultivate the young team of applied topology, the 2nd Young Topologist Seminar in AI and biological sciences is scheduled to be held at Beijing Institute of Mathematical Sciences and Applications from July 4, 2022 to July 8, 2022. The seminar is organized by Yanqi Lake Beijing Institute of Mathematical Sciences and Applications and Tsinghua University. We welcome senior undergraduates, postgraduates, young scholars, researchers from enterprises and institutions, etc. to apply for the program.

This seminar is a pre-event of the upcoming conference  by IMS, National University of Singapore, Applied Topology in Frontier Sciences.

PS: The link of the first Young Topologist Seminar
 

Confirmed Speakers

Isaac Ren  (KTH Royal Institute of Technology, Sweden)           

Chuan-Shen Hu  (Nanyang Technological University, Singapore)  

Luis Scoccola  (Northeastern University, USA)                   

Chenguang Xu  (Kyoto University, Japan)                        

Jasna Urbančič  (Queen Mary University of London, UK)          

Zehua Lai  (The University of Chicago, USA)

Shizuo Kaji  (Kyushu University, Japan)                       

Tomoki Uda  (Tohoku University, Japan)                  

Jian Liu  (Hebei Normal University and BIMSA, China)                        

Shiquan Ren  (Henan Normal University, China)                   

Milton, Chi-Chong Wong  (University of Macau, China)             

Ben Zhang  (Zhejiang University, China)                         

Depeng Gao  (Zhejiang University, China)                       

Enhao Liu  (Kyoto University, Japan)                            

Yasharth Yadav  (The Institute of Mathematical Sciences, India)   

Yuan Wang  (University of South Carolina, USA)           

Masud Rana  (University of Kentucky, USA)               

Michael Moy  (Colorado State University, USA)             

Mengmeng Zhang  (Hebei Normal University and BIMSA, China)

Wojciech Reise (Paris-Saclay University, France)

Dong Chen (Peking University, Shenzhen Graduate school and BIMSA, China)

Xiang Liu (Nankai University and BIMSA, China)

Academic and Organizing Committee

Haibao Duan (Chinese Academy of Sciences)

Jelena Grbic (University of Southampton)

Fei Han (National University of Singapore)

Fengchun Lei (Dalian University of Technology)

Zhi Lv (Fudan University)

Andrey Vesnin (Tomsk University)

Guowei Wei (Michigan State University, USA)

Jie Wu (Beijing Institute of Mathematical Sciences and Applications)

Kelin Xia (Nanyang Technological University)

Stephen Yau (Tsinghua University)

 

Contact

Jingyan Li, jingyanli@bimsa.cn, 15830973837

Xiang Liu, liuxiangmath@163.com, 13752503350

Mengmeng Zhang, mm_zhang00@163.com, 18231056499

Ran Liu, ranliu@bimsa.cn, 15226528393

 

Schedule:      (Zoom: 638 227 8222   Password: BIMSA    Venue: 1120)

 

July 4

(Monday)

Chair: Jie Wu

 

8:30-8:40

Opening ceremony

Chair: Masud Rana

8:40-9:30

Michael Moy

9:30-10:20

Masud Rana

 

 

July 5

(Tuesday)

Chair: Yuan Wang

Chair: Chuan-Shen Hu

8:40-9:30

Depeng Gao

15:00-15:50

Yasharth Yadav

9:30-10:20

Yuan Wang

15:50-16:40

Chuan-Shen Hu

 

16:40-17:30

Shiquan Ren

 

 

July 6

(Wednesday)

Chair: Tomoki Uda

Chair: Xiang Liu

8:40-9:30

Zehua Lai

15:00-15:50

Ben Zhang

9:30-10:20

Tomoki Uda

15:50-16:40

Xiang Liu

 

16:40-17:40

Wojciech Reise

 

 

July 7

(Thursday)

Chair: Luis Scoccola

Chair: Isaac Ren

8:40-9:30

Jian Liu

15:00-15:50

Chenguang Xu

9:30-10:20

Luis Scoccola

15:50-16:40

Isaac Ren

 

16:40-17:30

Enhao Liu

 

 

July 8

(Friday)

Chair: Shizuo Kaji

Chair: Jasna Urbančič

8:40-9:30

Mengmeng Zhang

15:00-15:50

Milton

9:30-10:20

Shizuo Kaji

15:50-16:40

Jasna Urbančič

 

16:40-17:30

Dong Chen

 

 

Program

July 4, 2022

Time 

Speaker 

Title

8:30-8:40

Jie Wu

Opening ceremony

8:40-9:30

Michael Moy

Vietoris Rips metric thickenings: persistent homology and homotopy types

9:30-10:20

Masud Rana

Multiscale Molecular Surface-Based Machine Learning Models for Protein-Ligand Binding Affinity Prediction

 

July 5, 2022

Time

Speaker

Title

8:40-9:30

Depeng Gao

Porous Synthesis in Free Form Model by Persistent Homology

9:30-10:20

Yuan Wang 

Topological Inference of Brain Signals and Networks

Break

15:00-15:50

Yasharth Yadav  

Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder

15:50-16:40

Chuan-Shen Hu 

Multi-parameter Persistent Homology Arising from Image Processing

16:40-17:30

Shiquan Ren

Categorifying The Constrained Embedded Homology of Hypergraphs

 

July 6, 2022

Time 

Speaker 

Title

8:40-9:30

Zehua Lai

Embedding models for Grassmannians and flag manifolds

9:30-10:20

Tomoki Uda

Stability of Reeb Posets by Interleaving Distance

Break

15:00-15:50

Ben Zhang

Explaining Deep Neural Networks Using Functional Networks and Persistent Homology

15:50-16:40

Xiang Liu

Persistent functions based machine learning for drug design

16:40-17:40

Wojciech Reise

A tutorial on persistent homology with GUDHI and giotto-tda

 

July 7, 2022

Time 

Speaker 

Title

8:40-9:30

Jian Liu

On the Cayley-persistence algebra

9:30-10:20

Luis Scoccola

Bottleneck stability for invariants of multi-parameter persistence modules

Break

15:00-15:50

Chenguang Xu

Interval approximations for fully commutative quivers

15:50-16:40

Isaac Ren

Relative homological algebra and Koszul complexes for multi-parameter persistence modules

16:40-17:30

Enhao Liu

Curse of Dimensionality in Persistence Diagrams

 

July 8, 2022

Time 

Speaker 

Title

8:40-9:30

Mengmeng Zhang

The Delta-twisted Homology and Fiber Bundle Structure of The Twisted Simplicial Sets

9:30-10:20

Shizuo Kaji 

Configuration space of Moebius Kaleidocycle

Break

15:00-15:50

Milton,Chi-Chong Wong

Topological and Geometric Learning Methods for Fine-Grained 3D Shape Segmentation

15:50-16:40

Jasna Urbančič

Optimizing Embeddings using Persistence

16:40-17:30

Dong Chen

Persistent path homology in molecular and materials sciences

 

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