Mohamad Koohi-Moghadam
*.*****.*@*****.*** (Preferred)
*********@****.****.**.**
*************@*****.**
Address:
ICT Research Institute of ACECR (Academic Center for Education, Culture and Research),
No. 5, Saeedi Avenu, Kalej Intersection, Enghelab Ave., Ferdowsi Sq.,Tehran, Iran.
Phone: +98-911-***-****
Educational Background:
Iran University of Science and Technology (IUST), Tehran, Iran (2009-2011)
M.Sc. Artificial Intelligence
Thesis Title: A New Search Method Based on Evolutionary Algorithms to Identify Suitable
Drug Structure
Supervisor: Dr. A. T. Rahmani
Shahid Bahonar University of Kerman, Kerman, Iran (2004-2009)
B.Sc. Computer Engineering (Software)
Thesis Title: Application of Soft Computing in Bioinformatics
Supervisor: Dr. M. Eftekhari
Objectives and Major Interests:
Computational Biology:
Computer Aided Drug Design
In Silico Biomarker Discovery
Rational Approaches in Drug Delivery
Prediction of Antibiotic Resistance
Personalized Medicine
Achilles Project Data Analysis
Cancer Cell Line Encyclopedia (CCLE) Data Analysis
NCI-60 (Cancer Microarray Project) Data Analysis
Artificial Intelligence:
Graph Mining
Image Processing
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Publication:
M. Koohi-Moghadam, A. T. Rahmani, "Molecular docking with Opposition-based
differential evolution", Proc. ACM Symposium on Applied Computing, Trento, Italy, pp. 1387-
1392, 2012.
M.A. Nikouei Mahani, M. Koohi-Moghadam, H. Nezamabadi-pour, “A Fuzzy Difference
Based Edge Detector,” Iranian Journal of Fuzzy Systems., Vol. 9, No. 6, pp. 69-85, 2012.
Teaching Experience:
Teaching Assistant, “Advanced Programming”, Iran University of Science and Technology.
Fall, 2011.
Teaching Assistant, “Advanced Programming”, Iran University of Science and Technology.
Fall, 2010.
Teaching Assistant, “Introduction to Artificial Intelligence”, Shahid Bahonar University of
Kerman. Fall, 2008.
Teaching Assistant, “Data Structure”, Shahid Bahonar University of Kerman. Fall, 2008.
Teaching Assistant, “Data Structure”, Shahid Bahonar University of Kerman. Fall, 2007.
Job Experience:
“Working in ACECR (Academic Center for Education, Culture and Research)”, Tehran,
Iran, Apr 2011 - NOW.
The Academic Center for Education, Culture and Research (ACECR) is an Iranian public non-
governmental institution that works in different fields of science and technology. I am currently
a member of Advanced Information System group at ICT Research Institute of ACECR. Our
group has three different teams such as bioinformatics, risk and reliability management and
business data mining. I mainly work on rational drug design in this group. I have conducted
some researches about application of computer simulation in drug discovery and biomarker
design. Besides, our team cooperates with Iranian Center for Breast Cancer (ICBC) of ACECR
and Allergy Clinic of ACECR.
“Working in Mobin. Co.”, Tehran, Iran, Feb 2010 – Mar 2011.
This company was responsible to develop the P ersian Search Engine. I mainly worked on
focused web crawler team. In this job position, being familiar with NoSQL database such as
HBase was required. Besides, Hadoop was used for the distributed processing of large data sets
across clusters of computers. I think it was a good experience about work with big data. As
huge amount of data produced every day, Hbase, Hadoop and other NoSQL tools play key role
in today’s bioinformatics data analysis.
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Kerman Robot”, Kerman, Iran, Feb 2007 – 2008.
Working part time in this company, I was a database designer and also a software developer.
This was a small company that developed just simple softwares for small places with maximum
10 users.
Workshop Attending:
“Participate in Two Days Workshop on GPU Programming”, Institute for Research in Fundamental
Sciences (IPM), Tehran, Iran, 2011.
“Participate in Two Days Workshop on Multiple Sequence Alignment and Phylogenetic Tree”,
Institute for Research in Fundamental Sciences (IPM), Tehran, Iran, 2010.
“Participate in Three Days Workshop on Molecular Dynamics with GROMACS”, Research
Center for Sciences and Biotechnology, Tehran, Iran, 2010.
Technical Skills:
Programming Languages Java, C++, QT, CUDA
Programming Tools Eclipse, QT Creator IDE, Intellij Idea,
Visual Studio
Database SQL Server, PostgreSQL, MySQL, HBase
Data Mining Weka, MATLAB
Bioinformatics / AutoDock, Vina, AutoDockTools, Rosetta,
Gromacs, ClustalW2, RNAFold
Chemoinformatics
Linux, Windows
Operating Systems
Word, Excel, PowerPoint
Common Software
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Research and Accomplished Projects:
“Prediction of Cocaine Specific Aptamer with Computer Simulation”, ACECR, Tehran, Iran,
2013.
In this research we tried to predict the best structure of an aptamer-based biomarker to detect
cocaine. Some softwares such as Rosetta and AutoDock have been used to predict the aptamer
structures. Computer simulation not only helps to find the best docking pose between aptamer
and target molecule, but also it is useful in making initial library of SELEX. Using computer
simulation can save a great deal of time and also money.
“In Silico Methods for Biomarker Structure Prediction”, ACECR, Tehran, Iran, 2013.
Researchers use the SELEX method to find the best biomarker structures. This procedure is
very time consuming and in some cases the results are not pleasing. In recent years, the
incorporation of computer simulations into biomarker design projects has been one of the best
ways to optimize biosensors potency. In this research we have investigated about some In Silico
methods and software that are helpful for prediction of new biomarkers.
“Application of Evolutionary Algorithms in Virtual Screening”, ACECR, Tehran, Iran, 2012.
Virtual Screening is the most important stage in discovery of a new drug. In this stage a library
of chemical compounds are selected to hit with ligands. Choosing the best chemical compounds
to enrich the initial library is very critical. In this research, we focused on some evolutionary
algorithms such as Genetic Algorithm (GA) and Differential Evolution (DE) to make the best
initial library.
“Application of GPU Programming in Flexible Docking”, ACECR, Tehran, Iran, 2011.
Computational complexity is the biggest challenge in today’s computational biology. Among
the facilities that have been introduced to speed up the processing time, GPU (Graphics
Processing Unit) is much more interesting. It is a feasibility study about application of GPU in
flexible protein-ligand docking. Computational cost in flexible docking is much more important
than rigid docking.
“Molecular Docking with Opposition-based Differential Evolution”, M.Sc. Thesis, IUST,
Tehran, Iran, 2011.
This is my final thesis in which I have proposed a new algorithm to find the best protein-ligand
complex using Opposition-based Differential Evolution (ODE). Same as other metaheuristic
algorithms, ODE uses a fitness function for evaluating candidate solutions. The evaluation
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function which is used in our study is AutoDock scoring function. Six different protein-ligand
complexes are used to verify the efficiency of ODE. The final results have been published in
the proceedings of the ACM Symposium on Applied Computing (SAC 2012).
“ Prediction of Beta-Lactam Resistance”, IUST, Tehran, Iran, 2011.
In this research, at first we found some proteins that bind to the antibiotic drugs such as
penicillin. About 100 proteins have been extracted from PDB and other protein-ligand
structures database. In continue, we tried to propose a model based on these data to predict the
next mutations of receptor binding site (RBS) a gainst Beta-Lactam. However our final results
are not very good because of lack of data, but I think it was a good research that can be
continued in future.
“NCI-60 (Cancer Microarray Project) Data Analysis”, IUST, Tehran, Iran, 2011.
NCI-60 is a dataset of gene expression profiles of 60 human tumour cell lines. There are a lot of
chemical structures that had been studied as a cancer drug in this project. Each compou nd is
exposed to 60 human tumor cell lines. We tried to find some common substructures among
different compounds. The jCompoundMapper that is an open source Java library for chemical
fingerprints is used in this research.
“Fuzzy Based Edge Detection Algorithm”, IUST, Tehran, Iran 2010.
Image processing is one of my interests besides computational biology. In this research we tried
to find edge of the images with a new fuzzy operation. However, the proposed algorithm is
slower than some others such as Sobel and Canny but its contribution in using a fuzzy
difference operation makes it noticeable. The results of this research have been published in
Iranian Journal of Fuzzy Systems
“Analysis of Gene Expression Data with Soft Computing Algorithms”, Kerman, Iran, 2009.
It was one of my first attempts about biology data analysis. In this research, I tried to analyze
some Gene Expression Data with Weka and Matlab. It was just as a practice to improve my
knowledge about gene expression data. The importance of gene regulatory networks and
protein-protein networks were revealed with doing this research.
“Application of Soft Computing in Bioinformatics”, B.Sc. Thesis, Kerman, Iran, 2008.
This is my B.Sc thesis. In this research, I tried to collect some new issues that were introduced
in bioinformatics and chemoinformatics at that time. Multiple sequence alignment, microarray
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data analysis and ribosome binding sites prediction are some problems that had been
investigated. Besides, the soft computing methods that can be helpful to solve these problems
were proposed. I think it is a good survey in Persian for someone who wants to know about
application of soft computing in boioinformatics.
M.Sc. Courses:
Pattern Recognition
Bioinformatics*
Expert System
Machine Learning
Fuzzy Based Systems
Evolutionary Computing
Distributed Artificial Intelligence
Image Processing
* Institute of Biochemistry and Biophysics (IBB), University of Tehran.
Language Skills:
Persian: Native
English: Fluent
TOEFL Score: 82
Interests:
Persian Poetry
Reading Novels
Being A Critical Thinker!
Reference:
Adel Torkaman Rahamni, Mahdi Eftekhari,
Department of Computer Engineering, Department of Computer Engineering,
Iran University of Science and Technology Shahid Bahonar University of Kerman
Email: rahmani [AT] iust.ac.ir Email: m.eftekhari [AT] uk.ac.ir
Hossein Nezamabadi-pour, Amin Nikanjam,
Department of Electrical Engineering, Department of Computer Engineering,
Shahid Bahonar University of Kerman K. N. Toosi University of Technology
Email: nezam [AT] uk.ac.ir Email : nikanjam [AT] kntu.ac.ir
Mehdi Sadeghi, Mohammad Darzi,
Department of Basic Sciences ICT Research Institute of ACECR,
National Institute of Genetic Engineering Advance Information System Group
and Biotechnology, Email: modarzi [AT] ictrc.ir
Email: sadeghi [AT] nigeb.ac.ir
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