US-Japan Workshop on Bridging Fluid Mechanics and Data Science

Dates: March 26-28, 2018
Location: Morito Memorial Hall, Tokyo University of Science, Tokyo

Over the past two decades, the fluid dynamics community has enjoyed the advancement in computational, experimental, and theoretical techniques to analyze a variety of fluid flows. Developments in computational and experimental hardware, numerical algorithms, and unsteady measurement techniques have enabled not only detailed analysis of flow physics but also initiated cross-talks amongst the various disciplines of fluid mechanics. With these powerful toolsets now available, the fluid dynamics community has started to examine complex flows with high levels of unsteadiness, nonlinearity, and multi-scale dynamics. However, there still exist limitations on how modern analysis techniques can be applied to specific fluid dynamics problems. Theoretical and computational approaches are often limited to relatively simple flows at low Reynolds numbers, while practical applications require extension to more complex unsteady and turbulent flows. Extending the current state of the art in flow analysis to higher Reynolds number flows requires tackling high-dimensional physics and the associated big-data from numerical simulations or experimental measurements. Some of the recent innovations in data science may hold the key to address these issues. The aim of this workshop is to gather fluid dynamics and data science experts from their respective areas and discuss their ongoing progress and challenges in emerging analysis techniques, including data science, computational & theoretical fluid dynamics, and advanced experimental diagnostic methods, that can be shared with others to facilitate breakthroughs as a community. This event will stimulate discussions and collaborations between members of the research communities to identify key areas that can make the largest impact and to offer a vehicle to further strengthen research collaborations across the Pacific.

Target Areas

• Unsteady fluid mechanics • Turbulent flows • Active flow control
• Fluid-structure interactions • Advanced experimental diagnostics • Modal decomposition and stability analyses
• Data-based methods • Machine learning • Data assimilation
• Network science • Reduced-order and sparse modeling • Control and dynamical systems

Workshop Location

Morito Memorial Hall
Tokyo University of Science, Tokyo
[Map (Building 15; click on the Google Map link for details)].

Closest station: Iidabashi (JR, Tokyo Metro, Toei Subway)
Airports: Narita Airport (NRT) or Haneda Airport (HND). There are more flights into NRT but HND is closer.

Booklet (Schedule and Abstracts)

Full workshop booklet, including final schedule and abstracts (compiled: March 09, 2018) - [pdf]

Group Photos

Photo 1: [jpg], Photo 2: [jpg]. Courtesy of Prof. Kajishima (Osaka Univ)


Kunihiko Taira (Florida State University)
Kozo Fujii (Tokyo University of Science)
Anya Jones (University of Maryland)
Koji Fukagata (Keio University)


This workshop is an invitation-only event due to space limitation. Please contact K. Taira for details. List - updated: March 09, 2018.

Farrukh Alvi (Florida State University)
Byungjin An (Ebara Corporation)
Kengo Asada (Tokyo University of Science)
Keisuke Asai (Tohoku University)
Steven Brunton (University of Washington)
Louis Cattafesta (Florida State University)
Kazuhisa Chiba (University of Electro-Communications)
Tim Colonius (California Institute of Technology)
Karthik Duraisamy (University of Michigan)
Jeff Eldredge (University of California, Los Angeles)
Kozo Fujii (Tokyo University of Science)
Koji Fukagata (Keio University)
Hiroshi Gotoda (Tokyo University of Science)
Yosuke Hasegawa (University of Tokyo)
Yuji Hattori (Tohoku University)
Maziar Hemati (University of Minnesota)
Michio Inoue (Mathworks)
Anya Jones (University of Maryland)
Takeo Kajishima (Osaka University)
Marios Kotsonis (Delft/Tokyo University of Science)
Nathan Kutz (University of Washington) - keynote speaker
Steve Legensky (Intelligent Light)
Qiong Liu (Florida State University)
Lionel Mathelin (LIMSI/University of Washington)
Kazuyuki Nakakita (Japan Aerospace Exploration Agency)
Shin'ya Nakano (Institute of Statistical Mathematics)
Hiroya Nakao (Tokyo Institute of Technology)
Taku Nonomura (Tohoku University)
Shigeru Obayashi (Tohoku University)
Kie Okabayashi (Osaka University)
Masato Okada (University of Tokyo) - keynote speaker
Noriyasu Omata (University of Tokyo)
Satoshi Sekimoto (Tokyo University of Science)
Susumu Shirayama (University of Tokyo)
Briana Singleton (Asian Office of Aerospace Research and Development)
Kunihiko Taira (Florida State University)
Keiko Takahashi (Japan Agency for Marine-Earth Science and Technology)
Shintaro Takeuchi (Osaka University)
Tomoaki Tatsukawa (Tokyo University of Science)
Takahiro Tsukahara (Tokyo University of Science)
Shigeya Watanabe (Japan Aerospace Exploration Agency)
Aiko Yakeno (Tohoku University)
Kai Zhang (Florida State University)


We thank the generous support from:

Air Force Office of Scientific Research
Intelligent Light
Tokyo University of Science
Florida State University (Vice President of Research)
Florida A&M/Florida State University (Dean/Associate Dean of Engineering)

Staying in Tokyo

Mostly for US attendees: read this link for useful information from the US Department of State [link].


We have very limited number of special-rate rooms at the Agnes Hotel, where the reception will be held on the first day. Reservations forms have been sent to attendees via email. If you have not receive a copy, please email K. Taira.

Attendants are also welcome to make his/her own accomodations through Expedia or Jalan.


You can use ATMs to withdraw cash in Japanese Yens. You can also exchange USD to Yen at the airport or at the post office. It is advisable to carry some cash but credit cards can generally be used.


The best way to move around Tokyo is to use the train and subway systems, which are very reliable. Read this link for details [link]. You can use them to get to the city center from HND and NRT. Be aware that trains and subways can become very crowded during rush hours. Getting a chargable public transport card such as SUICA or PASMO can help you getting around Tokyo hastle-free (please see wikipedia for details).


For questions, contact Kunihiko Taira (Mechanical Engineering, Florida State University,, +1-850-645-0140).