Scope: In this online workshop, we discuss recent development of topological data analysis ranging from theory to applications, and clarify future directions in this field.
To facilitate interdisciplinary dialogue, the workshop is being organized to have speakers working on diverse aspects of TDA in each session. This includes the algebraic aspects of TDA, random topology, links with machine learning, applications, and more.
Date: Feb 14-18, 2022 (Japan Standard Time, JST)
Format: Zoom
Participation Fees: None
Registration Deadline: Jan 31, 2022
Please register using this form
Confirmed Invited Speakers:
Omer Bobrowski (Technion - Israel Institute of Technology)
Magnus Bakke Botnan (VU University Amsterdam)
Benjamin Blanchette (University of Sherbrooke)
Mathieu Carrière (DataShape, Inria Sophia Antipolis)
Chao Chen (Stony Brook University)
Emerson G. Escolar (Kobe University)
Shu Kanazawa (Kyoto University)
Michael Lesnick (University at Albany)
Erik Lundberg (Florida Atlantic University)
András Mészáros (University of Toronto Scarborough)
Ippei Obayashi (Okayama University)
Bastian Rieck (Institute of AI for Health, Helmholtz Zentrum München)
Bei Wang (University of Utah)
Cheng Xin (Purdue University)
D. Yogeshwaran (Indian Statistical Institute)
Organizers:
Hideto Asashiba (Kyoto University)
Emerson G. Escolar (Kobe University)
Kenji Fukumizu (The Institute of Statistical Mathematics)
Yasu Hiraoka (Kyoto University)
Shu Kanazawa (Kyoto University)
Ippei Obayashi (Okayama University)
Tomoyuki Shirai (Kyushu University)
Support:
JST CREST (15656429)
JST MIRAI (JPMJMI18G3)
JSPS Grant-in-Aid for Scientific Research (A) 20H00119