News and Events

Professor Kim Hyoung-Ho from the Flow Information Lab, along with Ph.D. student Md. Didarul Islam and Master’s student Hyo-Jeong Kang, participated in the 2025 Summer Workshop and Training Session hosted by the Fluid Engineering Division of the Korean Society of Mechanical Engineers (KSME), held from July 23 to 25 at the Lahan Hotel in Jeonju. 

The event, titled "CFD & AI Fluid Training and Workshop with Distinguished Domestic and International Researchers," focused on the integration of computational fluid dynamics (CFD) with emerging artificial intelligence (AI) technologies. 

Topics included virtual boundary methods, multiphase flow simulations, parallel computing, turbulence modeling, flow-induced noise analysis, and AI-based techniques for flow prediction, optimization, and measurement. 

The workshop provided an excellent opportunity for academic and industry researchers to enhance their technical knowledge and explore cutting-edge developments in fluid mechanics and machine learning.

Kang Hyo-jeong (advised by Professor Kim Hyeong-Ho), a master's student in the Department of Mechanical and Aerospace Engineering at Gyeongsang National University, received the Excellence in Presentation Award at the 'Korean Society of Fluid Machinery (KSFM) Summer Conference' held at Pyeongchang Alpensia Resort on June 27.

The ‘Korean Society of Fluid Machinery,’ established in 1996, has contributed greatly to the technological exchange and academic development in the field of fluid machinery. It currently has 10 divisions, including pumps and turbines, fans and compressors, and gas/steam turbines. It is the highest-level academic society in Korea, with approximately 600 participants in each of the summer and winter academic conferences.

Master's student Hyo-Jeong Kang presented a paper titled "재배 환경 개선을 위한 전산유동해석기반 최적의 딸기 스마트팜 공조시스템 위치에 관한 연구 "

In this study, Kang Hyo-jeong analyzed the optimal cultivation conditions through the adjustment of the location of the air conditioning system in order to increase production and improve quality in the recently popular strawberry smart farm. This study was conducted with the support of the Small and Medium Business Technology Information Promotion Agency's Startup Growth Technology Development Project.

Four members of the Flow Information Lab—Md. Didarul Islam, Hyo-Jeong Kang, Ji Min Jeong, and Min Gyu Jung—participated in the 2025 Korean Society for Fluid Machinery (KSFM) Summer Conference, held from June 25th to 28th at the Alpensia Resort in Pyeongchang. 

Accompanied by Professor Kim Hyoung-Ho, the team engaged in meaningful academic exchange and presented their recent research findings. Hyo-Jeong Kang presented a poster titled “CFD 해석을 이용한 스마트팜 딸기 재배 환경 개선에 관한 연구” (A Study on Improving Strawberry Cultivation Environment in Smart Farms Using CFD Analysis), demonstrating the lab’s contributions to the application of computational fluid dynamics in agricultural innovation. 

Additionally, Professor Kim served as a session chair, further representing the lab's active role in the fluid machinery research community.

News Link: https://lnkd.in/gfUYsv9x 

A research team led by Professor Hyoung-Ho Kim at Gyeongsang National University (Flow Information Research Lab – Master's student Md. Didarul Islam and undergraduate student Hyo-Jeong Kang) has collaborated with Professor Young-Ho Choi at Seoul Boramae Medical Center to develop a novel method for evaluating Obstructive Sleep Apnea (OSA). This method utilizes a breathing diagram (BD) derived from upper airway models obtained through Computational Fluid Dynamics (CFD) analysis.

Unlike conventional approaches that separately consider morphological and fluid dynamic factors, this research introduces the breathing diagram as a new concept that allows simultaneous evaluation of both aspects. By leveraging the breathing diagram’s potential applications, researchers can analyze breathing power (BP) and the shape of the breathing diagram. The area enclosed within the breathing diagram curve represents breathing power (BP), quantifying the dynamic energy required for respiration.

This newly proposed method is expected to serve as an alternative to traditional polysomnography, enabling a more efficient diagnosis and evaluation of OSA. The findings of this research have been published in the journal Physics of Fluids under the title: "A new approach to evaluate obstructive sleep apnea according to body mass index using breathing diagram"

(https://lnkd.in/g3wgMSnT)

This study was supported by the Korea Research Foundation’s Mid-Career Researcher Support Program and an internal research grant from Seoul Boramae Medical Center.