Are you doing research or conducting projects that require computer programming?
Maybe you're wondering which software is better suited to the task. Of course
you can use C++, Fortran or Visual Basic, but you might want to do
programming more easily and efficiently even faster than all the languages
Perhaps, you are thinking which
software is most suitable to perform statistical analysis on your data. Of
course you can use SPSS, SigmaPlot, Minitab, R, Phyton and others but you may want to
analyze your data using a more advanced methodology and expecting accurate
results. The answer can be found in this course which has been conducted
since 2012. It's
suitable for any field of study.
This workshopis usually heldin a small group,
focusing on hands-ons andpublications.Knowledge sharingis the basis offormation ofthisworkshop.
The results of analysis using ResponseSurfaceMethodology(RSM),Artificial Neural Networks (ANN)andAdaptiveNeuro-Fuzzy inferenceSystems(ANFIS)
discussed and compared.
Outcomeof this workshopis
that participants could (i)analyze usingthe threemethods, (ii)comparethe accuracy(errors)and(iii)knowhow to present the resultsfor
I teach "Computer Programming"
to students at the Faculty of Engineering and Built Environment. At the
beginning, programming language used for teaching was C, then C++, Visual Basic,
and later MATLAB since 2007.
I have the opportunity to teach those languages since 1993 to date and
have exposure to Java, Fortran, LabVIEW and Scilab.
The motivation for using MATLAB is that programming is much faster, simple and
easy to understand. It also catalyses research work especially at
master and doctorate levels as MATLAB comes with Toolbox (subroutine / function in
MATLAB) for various fields of science such a Artificial Neural Networks (ANN), Statistics, Fuzzy Logics,
Optimization and others.
Apart from teaching, I also use MATLAB in my research to analyze data using
Statistical Methods and Artificial Neural Network (ANN). My area of research is
Geotechnical and Geoenvironmental Engineering. Result from the use of
MATLAB and others is translated through publications such as journals
and proceedings. Postgraduates who are conducting research and those who have finished their
studies are shown here. Most of them use MATLAB & ANN
as well as other software such as Plaxis and GeoStudio in their studies.
whousedfinite element method(FEM)andlimitequilibriummethod(LEM)tosolveproblemsin Geotechnical
PhD student from Sudan. He predicts the stability of slopes using AI methods.
Threepostgraduateswho usedFEMandLEMto solveproblems in
PostgraduatefromChinawho used FEMandLEMtosolveproblemsof
construction on soft clay.
Postgraduate fromLibyawho used FEMtostudy the strength of
soil reinforced with
PhDstudentfromJordanwho used FEMto study thestabilityof soil inDead Sea.
PhD student who studies the effect of earthquake on residual soil.
PhD student from Iraq who studies the stability of earth embankment on soft soil.
PhD student from Iraq who used FEM to study the stability of pile.
To give a brief introduction to MATLAB, please see this video:
isSimple and Easy to
There are Many
A Lot ofToolboxes
to Get Reference
Based onmy experience inteachingandresearch,Ioffera2dayworkshopon "Introduction
& ANN / ANFIS / RSM Analysis"toresearchersandpostgraduatesundermysupervisiontoexpeditetheir research.The aim of this
workshopisto introduceMATLAB& IDA andalsoto give a"jumpstart"before doing seriousprogramming.
In order toestablish anetworkwithvariouspartiesandto shareknowledge
research,thisworkshopis opento any researcher in
UKM and other institutions (IPTA/IPTS).Thisworkshopis usuallyconductedinEnglishunlessthere is a demandfor Malay language(eg.all participantsfrom Malaysia).If you're interested to join, please contact me for further
information. Seats are limited, please book as soon as possible.
Thank you for visiting
Please don't hesitate to give me a call/Whataps for further information.