Prof. Aminuddin Ab Ghani
Universiti Sains Malaysia
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Academic Career Length
33Years (1994-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 March 2010 in Journal of Hydraulic Engineering
Journal Article
Hazi Mohammad Azamathulla
Aminuddin Ab GhaniNZNor Azazi Zakaria
Nor Azazi ZakariaAGAytac Guven
Aytac GuvenBridge-pier scour is a significant problem for the safety of bridges. Extensive laboratory and field studies have been conducted examining the effect of relevant variables. This note presents an alternative to the conventional regression-based equations (HEC-18 and regression equation developed by the writers), in the form of artificial neural networks (ANNs) and genetic programming (GP). There had been 398 data sets of field measurements that were collected from published literature and were used to train the network or evolve the program. The developed network and evolved programs were validated by using the observations that were not involved in the training. The performance of GP was found more effective when compared to regression equations and ANNs in predicting the scour depth at bridge piers.
19 November 2014 in Environmental Science and Pollution Research
Journal Article
RMReza Mohammadpour
Reza MohammadpourSSSyafiq Shaharuddin
Syafiq Shaharuddin
Chun Kiat ChangNZNor Azazi Zakaria
Nor Azazi Zakaria
Aminuddin Ab Ghani
Weng Chan1 March 2012 in Applied Soft Computing
Journal Article
Hazi Mohammad AzamathullaAminuddin Ab GhaniSFSeow Yen Fei
Seow Yen FeiThe necessity of sewers to carry sediment has been recognized for many years. Typically, old sewage systems were designated based on self-cleansing concept where there is no deposition in sewer. These codes were applicable to non-cohesive sediments (typically storm sewers). This study presents adaptive neuro-fuzzy inference system (ANFIS), which is a combination of neural network and fuzzy logic, as an alternative approach to predict the functional relationships of sediment transport in sewer pipe systems. The proposed relationship can be applied to different boundaries with partially full flow. The present ANFIS approach gives satisfactory results (r2 = 0.98 and RMSE = 0.002431) compared to the existing predictor.
1 December 2008 in Journal of Hydro-environment Research
Journal Article
Hazi Mohammad AzamathullaFWFu-Chun Wu
Fu-Chun Wu
Aminuddin Ab GhaniSNSandeep M. Narulkar
Sandeep M. Narulkar
NZNor Azazi Zakaria
Nor Azazi Zakaria
Chun Kiat Chang10 June 2011 in Water Resources Management
Journal Article
Hazi Mohammad AzamathullaAminuddin Ab GhaniCLCheng Siang Leow
Cheng Siang LeowChun Kiat ChangNZNor Azazi Zakaria
Nor Azazi Zakaria23 December 2010 in Water Resources Management
Journal Article
Hazi Mohammad AzamathullaAminuddin Ab GhaniAbout Me
Dr. Aminuddin is formally a Senior Professor in River Engineering at the River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia (USM). His main research interests are Sediment Transport, Flood Risk Management (FRM), and Sustainable Urban Drainage Systems (SUDS). Dr. Aminuddin obtained his first degree in Bachelor of Science (Civil Engineering) from Columbia University in the City of New York in May 1989. He later pursued his postgraduate studies at the University of Newcastle Upon Tyne, England. He received his MSc degree in Hydraulic Engineering in October 1990 and completed his doctoral study in December 1993 specializing in Sediment Transport. He also spent nine months during his postgraduate studies at an international research company namely the HR Wallingford, Oxford, UK.
Dr. Aminuddin is an Associate Editor for the Water Science and Technology journal and an Editorial Board Member for the International Journal of River Basin Management.