OOI EAN HIN
@monash.edu.my
Associate Professor, School of Engineering
Monash University Malaysia
EDUCATION
2005 - 2009 Doctor of Philosophy, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
2001 - 2005 Bachelor of Mechanical Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia
RESEARCH, TEACHING, or OTHER INTERESTS
Mechanical Engineering, Multidisciplinary, Modeling and Simulation, Numerical Analysis
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Lit Kean Chai, Chin Vern Yeoh, Ean Hin Ooi, and Ji Jinn Foo
Elsevier BV
Li Teng Siow, Jun Rong Lee, Ean Hin Ooi, and Ee Von Lau
Elsevier BV
Nguoy L. Mak, Wen H. Ng, Ean H. Ooi, Ee V. Lau, N. Pamidi, Ji J. Foo, Ean T. Ooi, and Ahmad F. Mohd Ali
Elsevier BV
Antony Seng Kai Kho, Ean H. Ooi, Ji Jinn Foo, and Ean Tat Ooi
Institute of Electrical and Electronics Engineers (IEEE)
Radiofrequency ablation (RFA) combined with saline infusion into tissue is a promising technique to ablate larger tumours. Nevertheless, the application of saline-infused RFA remains at clinical trials due to the contradictory findings as a result of the inconsistencies in experimental procedures. These inconsistencies not only magnify the number of factors to consider during the treatment, but also obscure the understanding of the role of saline in enlarging the coagulation zone. Consequently, this can result in major complications, which includes unwanted thermal damages to adjacent tissues and also incomplete ablation of the tumour. This review aims to identify the key factors of saline responsible for enlarging the coagulation zone during saline-infused RFA, and provide a proper understanding on their effects that is supported with findings from computational studies to ensure a safe and reliable cancer treatment.
Ted Sian Lee, Ean Hin Ooi, Wei Sea Chang, and Ji Jinn Foo
Springer Science and Business Media LLC
AbstractThe unravelling of multilength-scale insert-generated turbulence, particularly, the induced-forcing plays critical role in the fundamental comprehension of energy formation and decay as a function of grid conformation. This study experimentally investigates the flow mechanical characteristics at ReDh = 4.1 × 104 for a regular-grid (RG), single-square-grid (SSG) and six 2D planar space-filling square-fractal-grids (SFG) of different fractal iterations (N), thickness ratios (tr) and blockage ratios (σ) via piezoelectric thin-film flapping velocimetry (PTFV). Thin-film’s tip-deflection (δrms) and voltage response (Vrms) analysis along the grids’ centreline reveals increasing flow fluctuation strength with increasing σ, tr and decreasing N, owing to higher shedding intensity of lower frequency, larger scale energy-containing vortices from thicker first iteration bar. However, higher: energy dissipation rate, centreline mean velocity decrement rate and local deceleration experienced in the turbulence decay region of larger tr grid, along with additional fractal scales lead to less potent flow-structure-interplay on thin-film undulation. More importantly, SSG-generated turbulence enables the generation of average (Vrms, δrms) and millinewton turbulence forcing Frms that are respectively, 9× and 5× larger than RG of similar σ, and 2× larger than the best performing N = 3 SFG. Our findings disclose the importance of grid geometrical management for effective utilisation of turbulence-generating grids in engineering applications.
Christopher Yew Shuen Ang, Yeong Shiong Chiew, Xin Wang, Ean Hin Ooi, Mohd Basri Mat Nor, Matthew E. Cove, and J. Geoffrey Chase
Elsevier BV
B Xiao, S Natarajan, C Birk, EH Ooi, C Song, and ET Ooi
Wiley
William T.H. Lim, Ean H. Ooi, Ji J. Foo, Kwan H. Ng, Jeannie H.D. Wong, and Sook S. Leong
Elsevier BV
Zhi Q. Tan, Ean H. Ooi, Yeong S. Chiew, Ji J. Foo, Eddie Y.K Ng, and Ean T. Ooi
Elsevier BV
Ean Hin Ooi and Yeong Shiong Chiew
IOP Publishing
Jason KK Cheong, Ean H Ooi, Yeong S Chiew, Luca Menichetti, Paolo Armanetti, Mauro Comes Franchini, Elisa Alchera, Irene Locatelli, Tamara Canu, Mirko Maturi,et al.
Elsevier BV
Wai P. Yip, Antony S.K. Kho, Ean H. Ooi, and Ean T. Ooi
Elsevier BV
Nguoy L. Mak, Ean H. Ooi, Ee V. Lau, Ean T. Ooi, Narendra Pamidi, Ji J. Foo, and Ahmad F. Mohd Ali
Elsevier BV
Su Min Hoi, Ean Hin Ooi, Irene Mei Leng Chew, and Ji Jinn Foo
Springer Science and Business Media LLC
AbstractA 3D stationary particle tracking velocimetry (SPTV) with a unique recursive corrective algorithm has been successfully established to detect the instantaneous regional fluid flow characteristics. The veracity of SPTV is corroborated by conducting actual displacement measurement validation, which gives a maximum percentage deviation of about 0.8%. This supports the accuracy of the current SPTV system in 3D position detection. More importantly, the SPTV detected velocity fluctuations are highly repeatable. In this study, SPTV is proven to be able to express the nature of chaotic fractal grid-induced regional turbulence, namely: the high turbulence intensity attributed to multilength-scale wake interactions, the Kolmogorov’s −5/3 law decay, vortex shedding, and the Gaussian flow undulations immediately leeward of the grid followed by non-Gaussian behaviour further downstream. Moreover, by comparing the flow fields between control no-grid and fractal grid-generated turbulence of a plate-fin array, SPTV reveals vigorous turbulence intensity, smaller regional integral-length-scale, and energetic vortex shedding at higher frequency for the latter, particularly between fins. Thereupon, it allows the unravelling of detailed thermofluid interplays of plate-fin heat sink heat transfer augmentation. The novelty of SPTV lies in its simplicity, use of low-cost off-the-shelf components, and most remarkably, low computational complexity in detecting fundamental characteristics of turbulent fluid flow.
Antony S.K. Kho, Ean H. Ooi, Ji J. Foo, and Ean T. Ooi
Elsevier BV
Nguoy L. Mak, Ean H. Ooi, Ee V. Lau, Ean T. Ooi, N. Pamidi, Ji J. Foo, and Ahmad F. Mohd Ali
Elsevier BV
Duc Thai Duong Nguyen, Fatemeh Javidan, Mohammadmahdi Attar, Sundararajan Natarajan, Zhenjun Yang, Ean Hin Ooi, Chongmin Song, and Ean Tat Ooi
Elsevier BV
Mahmoud Abdelazim Khattab, Iman Yi Liao, Ean Hin Ooi, and Siang Yew Chong
Hindawi Limited
Computed tomography (CT) is a common modality for liver diagnosis, treatment, and follow-up process. Providing accurate liver segmentation using CT images is a crucial step towards those tasks. In this paper, we propose a stacked 2-U-Nets model with three different types of skip connections. The proposed connections work to recover the loss of high-level features on the convolutional path of the first U-Net due to the pooling and the loss of low-level features during the upsampling path of the first U-Net. The skip connections concatenate all the features that are generated at the same level from the previous paths to the inputs of the convolutional layers in both paths of the second U-Net in a densely connected manner. We implement two versions of the model with different number of filters at each level of each U-Net by maximising the Dice similarity between the predicted liver region and that of the ground truth. The proposed models were trained with 3Dircadb public dataset that were released for Sliver and 3D liver and tumour segmentation challenges during MICCAI 2007-2008 challenge. The experimental results show that the proposed model outperformed the original U-Net and 2-U-Nets variants, and is comparable to the state-of-the-art mU-Net, DC U-Net, and Cascaded UNET.
Chin Vern Yeoh, Ean Hin Ooi, and Ji Jinn Foo
Elsevier BV
Ted Sian Lee, Ean Hin Ooi, Wei Sea Chang, and Ji Jinn Foo
Springer Science and Business Media LLC
AbstractThe centerline streamwise and cross-sectional (x/Dh = 0.425) turbulence characteristics of a 2D planar space-filling square-fractal-grid (SFG) composed of self-similar patterns superimposed at multiple length-scales is experimentally unveiled via piezoelectric thin-film flapping velocimetry (PTFV). The fluid–structure-interaction between a flexible piezoelectric thin-film and SFG-generated turbulent flow at ReDh = 4.1 × 104 is investigated by analysis of the thin-film’s mechanical response. Measurements of the thin-film-tip deflection δ and induced voltage V demonstrate increasing flow fluctuation strength in the turbulence generation region, followed by rapid decay further downstream of the SFG. Interestingly, SFG-induced turbulence enables the generation of maximum centerline thin-film’s response (Vrms, δrms) and millinewton turbulence-forcing (turbulence-induced excitation force acting on the thin-film) Frms which are respectively, 7× and 2× larger than the classical square-regular-grid of similar blockage ratio. The low frequency, large-scale energy-containing eddies at SFG’s central opening plays a critical role in driving the thin-film vibration. Most importantly, the SFG-generated turbulence at (y/T = 0.106, z/T = 0.125) away from the centerline allows equivalent mechanical characteristics of turbulence generation and decay, with peak of 1.9× nearer from grid. In short, PTFV provides a unique expression of the SFG-generated turbulence, of which, the equivalent turbulence length-scale and induced-forcing deduced could aid in deciphering the flow dynamics for effective turbulence management.
Antony S K Kho, Ean H Ooi, Ji J Foo, and Ean T Ooi
Elsevier BV
Jason KK. Cheong, Viktor Popov, Elisa Alchera, Irene Locatelli, Massimo Alfano, Luca Menichetti, Paolo Armanetti, Mirko Maturi, Mauro Comes Franchini, Ean H. Ooi,et al.
Elsevier BV
William T.H. Lim, Ean H. Ooi, Ji J. Foo, Kwan H. Ng, Jeannie H.D. Wong, and Sook S. Leong
Elsevier BV
Shelley Yap, Ean H. Ooi, Ji J. Foo, and Ean T. Ooi
Elsevier BV