3rd Workshop on Data-Driven Fluid Dynamics

Dates: March 17-19, 2025
Location: Nagoya, Japan

There has been explosive growth in the applications of data-driven techniques to study a wide range of challenging problems in fluid dynamics over the last few years. Along with the advancement of computational, experimental, and theoretical approaches, the rapid development of data-driven analyses for flows that exhibit complex dynamics. Following the success of the past two US-Japan data-driven fluid dynamics workshops in 2018 (Tokyo) and 2022 (Kobe), we are opening this 3rd workshop to the international research community to promote discussions and potential collaborations across the world. This 3rd workshop will be held from March 17 to 19, 2025 at the JR Gate Tower Conference, Nagoya in Japan with approximately 60 invitation-only stakeholders in data-driven fluid dynamics from the academia, industry, and government. The objective of the workshop is to survey the state-of-the-art data-driven analysis techniques for fluid dynamics and discuss possibilities for breakthroughs by the community to advance data-driven analysis for a range of fluid dynamics problems.

Target Areas

Data-inspired techniques for fluid dynamics, including but not limited to data-driven analysis, modeling, estimation, and control of fluid flows.

Workshop Program

PDF file - updated March 13, 2025 [link]

Workshop Location

JR Gate Tower Conference [website in Japanese]
Nagoya, Japan
(for directions in English, see the above Workshop Program (PDF).)

Organizers

Kunihiko Taira (UCLA, Chair)
Kozo Fujii (Tokyo University of Science)
Koji Fukagata (Keio University)
Kai Fukami (Tohoku University)
Taku Nonomura (Nagoya University)
Steven Brunton (University of Washington)
Maziar Hemati (University of Minnesota)

Attendees

This workshop is an invitation-only event due to space limitation. The list will be updated periodically (updated: March 13, 2025). *Presenters.

Byungjin An* (Ebara)
Katherine Asztalos* (Argonne National Laboratory)
Shervin Bagheri* (KTH)
Steven Brunton* (University of Washington)
Szuyung Chen (Ebata)
Paola Cinnella* (Sorbonne Universite) - keynote speaker
Tim Colonius* (Caltech)
Jeff Eldredge* (UCLA)
Kozo Fujii (Tokyo University of Science)
Koji Fukagata* (Keio University)
Kai Fukami* (Tohoku University)
Kohei Fukunaga (Sumitomo Rubber Industries)
Susumu Goto* (Osaka University) - keynote speaker
Yosuke Hasegawa* (University of Tokyo)
Tomoyuki Hosaka (Hitachi)
Gianluca Iaccarino* (Stanford University)
Shingo Ida (Sumitomo Rubber Industries)
Kenta Inada* (Honda)
Izuru Kambayashi (Ebara)
Soshi Kawai* (Tohoku University)
Adrian Lozano Duran* (Caltech) - keynote speaker
Luca Magri* (Imperial College London)
Karen Mulleners* (EPFL)
Hiroya Nakao* (Institute of Science Tokyo)
Taku Nonomura* (Nagoya University)
Kenta Ogawa (Honda)
Yuya Ohmichi* (JAXA)
Kie Okabayashi* (Osaka University)
Ryo Onishi* (Institute of Science Tokyo)
Jorge Pulpeiro Gonzalez (Illinois Institute of Technology)
Georgios Rigas* (Imperial College London)
Koma Sato (Hitachi)
Isabel Scherl* (University of Massachusetts, Amherst)
Oliver Schmidt* (UCSD)
Kunihiko Taira* (UCLA)
Ryota Tamada (Sumitomo Rubber Industries)
Minoru Teramura (Honda)
Ricardo Vinuesa* (KTH)
Heng Xiao* (University of Stuttgart)
Koichiro Yawata (Hitachi)
Donghyun You* (Pohang University of Science and Technology)

Sponsors

Air Force Office of Scientific Research (AOARD)
Army Research Office
Ebara Corporation
Hitachi, Ltd.
Honda Motor Co., Ltd.
Sumitomo Rubber Industries

Nagoya

Local Information

Nagoya is one of the largest cities in Japan with over 10 million people in its metropolitan area. The city is known for Nagoya castle, museums, and its cuisine.

Hotels

Attendants are asked to make his/her own accomodations.

Transportation

We recommend reaching Nagoya Station using the Shinkansen (Super Express).

Past DDFD Workshops

(DDFD2) 2nd US-Japan Workshop on Data-Driven Fluid Dynamics (September 5-7, 2022, Kobe, Japan) - [link]

(DDFD1) 1st US-Japan Workshop on Merging Data Science and Fluid Mechanics (March 26-28, 2018, Tokyo, Japan) - [link]

Contact

For questions, contact Kunihiko Taira (UCLA).