Toru Ishigami

Associate Professor

Hiroshima University

Japan

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Dr. Toru Ishigami is an Associate Professor at Hiroshima University in Japan. His research focuses on the interactions of microbubbles with oil, rotor-stator mixer optimization, and advanced filtration techniques utilizing computational models. He has contributed to the understanding of gas membrane distillation and aerosol behavior in facemasks, employing data-driven approaches and machine learning in his recent articles.

Articles (19)

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2025

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2024

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2023

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2022

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2022

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2022

Collaborators (5)

Pengfei Zhang

Kobe University

JAPAN

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Tomohisa Yoshioka

Kobe University

JAPAN

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Zhan Li

Assistant Professor

Kobe University

JAPAN

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Kunihiro Fukui

Hiroshima University

JAPAN

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Kecheng Guan

Assistant Professor

Kobe University

JAPAN

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Toru Ishigami

Research Interests

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About

Articles (19)

Unraveling Oil–Microbubble Interactions via a Ternary Phase-Field Model and Machine Learning for Enhanced Surface Cleaning

Investigation on the Collection Mechanism of van der Waals Force in Air Filtration by Numerical Simulation and Empirical Model Development

Prediction of three-dimensional flow field inside realistic fibrous filter obtained from x-ray computed tomography images using deep convolutional neural networks

Novel physics-informed optimization framework for complex multi-physics problems: Implementation for a sweeping gas membrane distillation module

Data-driven approach for design and optimization of rotor–stator mixers for miscible fluids with different viscosities

Effect of filter microstructure on filtration characteristics in a nonwoven bag filter: A resolved CFD-DEM approach coordinated with X-ray computed tomography image

Numerical Analysis of Aerosol Behavior in Facemask and Optimization of Microstructure

Numerical investigation of oil droplet detachment from wall surface by a microbubble using ternary phase‐field model

An experimental study on recovering and concentrating ammonia by sweep gas membrane distillation

Assessing the formation and destruction behaviors of fine powder agglomerates in vibrating fluidized beds using the Ergun equation

Effects of exposure temperature on degradation of polyphenylene sulfide non-woven bag-filter media by NO2 gas at high temperature

Performance analysis and optimization of sweep gas membrane distillation module using high-resolution computational model and machine learning

Hierarchical porous zeolite synthesis from coal fly ash via microwave heating

Application of deep learning neural networks for the analysis of fluid-particle dynamics in fibrous filters

Performance characterization of a novel compact dust collector with pleated filter cartridges

Influence of ash species on particle size dependence of water- and citric-acid-soluble potassium concentrations of woody biomass combustion ashes with low potassium content

Numerical simulation of aerosol permeation through microstructure of face masks coordinating with x-ray computed tomography images

Prediction of submicron particle dynamics in fibrous filter using deep convolutional neural networks

Numerical modeling for particulate flow through realistic microporous structure of microfiltration membrane: Direct numerical simulation coordinated with focused ion beam scanning electron microscopy

Collaborators (5)

Pengfei Zhang

Tomohisa Yoshioka

Zhan Li

Kunihiro Fukui

Kecheng Guan

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