OIST-Keio Showcase Talk Series Vol. 10: Diverse Approaches to Fluid Dynamics

Date

2026年3月11日 (水) (All day)2026年3月12日 (木) (All day)

Location

Sydney Brenner Lecture Theater (Seminar Room B250)

Description

Title

OIST-Keio Showcase Talk Series Vol. 10: Diverse Approaches to Fluid Dynamics

Symposium Abstract

The 10th OIST-Keio Joint Symposium brings together various perspectives on fluid dynamics, highlighting recent advances across theory, computation, and experiment. Through a series of focused talks and poster presentations, the event spans fundamental flow phenomena, complex and multiscale fluids, and engineering‑relevant applications. This 10th showcase continues a series of events bringing Keio and OIST researchers together to foster discussion and enable innovation through interdisciplinary collaboration.

Registration

Deadline: Wednesday, March 4

Registration Form

Program

 *Click here to DOWNLOAD. (As of Feb 19)

Program

Keio University Speaker

  Speakers Affiliation Talk Title/Abstract

1

Dr. Satoko Fujioka

Associate Professor

Faculty of Science and Technology, Department of Applied Chemistry

 

Coming soon

Coming soon

 

Dr. Koji Fukagata 

Professor

Faculty of Science and Technology, Department of Mechanical Engineering

Koji Fukagata received his PhD at KTH (Sweden) as well as The University of Tokyo (Japan) in 2000. Since he moved to Keio University in 2007, he has worked in diverse fields of fluid mechanics including flow control and machine learning. He has served as an editor of Flow, Turbulence and Combustion (Springer-Nature) since 2015, and currently he is a Director of the Japan Society of Fluid Mechanics (JSFM), the Chair of the Fluids Engineering Division of the Japan Society of Mechanical Engineers (JSME-FED), and also serving as the Advisor for JST PRESTO and JST FOREST.

Flow control studies at Keio University

Friction drag in turbulent flow is much larger than that of the laminar flow at the same Reynolds number, and its reduction is of crucial importance for improving the energy efficiency of industrial products and mitigating environmental burden. My talk will begin with our early attempts on feedback control for turbulent friction drag reduction, then I present our recent attempts on predetermined control using streamwise traveling waves. I will also briefly introduce our ongoing attempts for flow control design based on machine learning.

 

2

Dr. Yutaka Kazoe

Professor

Faculty of Science and Technology, Department of System Design Engineering

Yutaka Kazoe received his Ph.D. degree from Keio University in 2008. In 2009, he was a Visiting Scholar in Georgia Institute of Technology. He worked in the University of Tokyo from 2010 to 2019 as a Research Fellow, Assistant Professor, Project Lecturer, and Project Associate Professor. From 2019, he worked in Keio University as an Assistant Professor and Associate Professor and was appointed as a Professor in 2025. His current research focuses on micro/nanoscale fluid science and micro/nanofluidics.

Study on behavior of nanoparticles in micro/nanospaces using super-resolution particle tracking velocimetry

The development of micro/nanofluidics has led to a growing emphasis on the study of transport phenomena in 100-1000 nm spaces, where surface effects become dominant. However, fluid flows and mass transport in such small spaces are unknown due to the lack of measurement methods. Recently, we have developed a defocusing nanoparticle tracking velocimetry (nanoPTV) with a 10 nm spatial resolution for study on 100-1000 nm spaces. This talk introduces our recent results on the development of defocusing nanoPTV and its application to study on the behavior of nanoparticles suspended in a liquid flowing in micro/nanochannels.

4

Dr. Norihiko Sugimoto

Professor

Faculty of Law / Research and Education Center for Natural Sciences

Norihiko Sugimoto received BA, MSci, and PhD from the Kyoto University. In 2005, he moved to Nagoya University as a post-doctoral fellow. He joined to Keio University in 2008 as a lecturer and was promoted to associate professor in 2015, and professor in 2020. His current research focuses on the geophysical fluid dynamics and Venus atmosphere and has published >50 papers in this area of research. He is an Associate Editor for Journal of Geophysical Research: Planets of the American Geophysical Union and SOLA (Scientific Online Letters on the Atmosphere) of the Meteorological Society of Japan.

Numerical study of the general circulation of the Venus Atmosphere

We have released the first analysis dataset for the Venus atmosphere, in which horizontal winds derived by ultra-violet images observed by the Venus climate orbiter “Akatsuki” were assimilated. In the analysis, super-rotation and cold collar consistent with observations has been reproduced. We will introduce recent results of Venusian general circulation model (AFES-Venus; Atmospheric GCM for the Earth Simulator for Venus) and the data assimilation system for the Venus atmosphere (ALEDAS-V; AFES-LETKF (Local Ensemble Transform Kalman Filter) data assimilation system for Venus).

OIST Speaker

  Speakers Affiliation Talk Title/Abstract

1

Dr. Pinaki Chakraborty 

Professor

Fluid Mechanics Unit

 

Coming soon

Coming soon

2

Dr. Eliot Fried

Professor

Mechanics and Materials Unit

 

Coming soon

Coming soon

3

Dr. Marco Edoardo Rosti

Associate Professor

Complex Fluids and Flows Unit

Marco was born in Italy where he studied Aeronautical Engineering at Politecnico di Milano. He then moved to London (UK) for his doctoral studies and to Stockholm (Sweden) and Tokyo (Japan) for his postgraduate research. His work focuses primarily on fluid dynamics problems, with particular emphasis on the study of multi-scale and multi-physics problems involving complex fluids and complex flows by means of numerical simulations; his main expertise is in multiphase and turbulent flows, Non-Newtonian fluids and fluid-solid interaction, with applications ranging from turbulent flows over complex walls to suspensions of rigid and deformable particles and filaments.

The multiscale nature of polymeric turbulence

Turbulent flows containing modest amounts of long-chained polymers have remained an intriguing area of research since the discovery of turbulent drag reduction. Here, we perform direct numerical simulations of statistically stationary, homogeneous, and isotropic turbulent flows of dilute solutions of polymers at various Reynolds and Deborah numbers. At large Re, we present evidence that there is a range of scales over which the energy spectra and the structure functions show new elastic scaling consistent with recent experimental results, while at small Re, we uncover an hidden intermittent behaviour.

4

Dr. Amy Shen

Professor

Micro/Bio/Nanofluidics Unit

 

Coming soon

Coming soon

Short Talk Speaker

Keio

Kazoe group

Dr. Masafumi Watanabe
Masaya Ohba
Sayaka Tokami

Fukagata group

Itsuki Takarabe
Keita Nakamura

Fujioka group

Kohei Hashimoto
Koki Okaya

OIST

Shen Unit

Dr. Rui Luo
Dr. Ricardo Arturo Lopez de la Cruz

Rosti Unit

Dr. Stefanie Rauchenzauner 
Dr. Ludovico Fossa
Dr. Lucas Menez
Morie Koseki

 

Poster Presenter

Keio

Kazoe group

Sho Noguchi
Yuki Sakurai
Momo Shibahara
Masaki Matsuoka
Anji Ishinaka
Asahi Kiyota
Shunsuke Sakata
Haruyoshi Takasaki

Fukagata group

Senri Miura
Tomoki Asaka
Soratsugu Sakazume
Takaya Suzuki
Mikiya Iwakura
Kei Saito
Seishu Seto
Shunta Hayashi
Akane Matsukawa
Keisuke Miyasako

Fujioka group

Miki Asaba
Kaho Matsushita
Yui Matsuka
Riko Morishita

Sugimoto group

 Prof. Norihiko Sugimoto

OIST

Shen Unit

Dr. Ricardo Arturo Lopez de la Cruz
Fabian Hillebrand
Jangming Wu
Arisa Yokokoji 

Rosti Unit

Christian Amor
Giulio Foggi Rota
Morie Koseki
Simone Tandurella 

Fried Unit

Dr. Ariel Boiardi
Dr. Santo Chan
Dr. Stoffel Janssen

 

Co-hosts

Contact

Please email academic-partnerships@oist.jp if you have any questions.

※ Please note that this event may be recorded, and the videos may be uploaded by OIST/Keio U. Additionally, photos may be taken during the event for publication online (e.g., the OIST website, social media, etc.). Any non-published information will not be shared. ※

Attachments

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