FSKKP - Official Portal

FACULTY OF COMPUTER SYSTEMS & SOFTWARE ENGINEERING (FSKKP)

kohbalan
Staff Information
Dr. Kohbalan A/L Moorthy
Senior Lecturer
09-5492112
016-9555101
kohbalan@ump.edu.my
https://www.researchgate.net/profile/Kohbalan_Moorthy
https://www.linkedin.com/in/kohbalan/
https://scholar.google.com/citations?user=UBXvwDIAAAAJ&hl=en
B3-01

Educational Background

Doctor of Philosophy (Computer Science), Research in Cancer Informatics, Universiti Teknologi Malaysia

Bachelor Of Computer Science (Bioinformatics), Universiti Teknologi Malaysia

Research

1. GENE SELECTION / FEATURE SELECTION / VARIABLE SELECTION
2. CANCER CLASSIFICATION / PREDICTION
3. SUPERVISED LEARNING
4. MICROARRAY GENE EXPRESSION ANALYSIS
5. MISSING VALUE IMPUTATION
1. A TWO-STAGE RANDOM FOREST METHOD FOR GENE SELECTION AND CLASSIFICATION OF CANCER MICROARRAY DATA
2. PROTECTING CONFIDENTIAL CLINICAL INFORMATION USING STEGANOGRAPHY TECHNIQUE
3. A NEW MASKING MODEL IN IMAGE AND VIDEO PROCESSING
4. AN ENHANCED ALGORITHM OF A HYBRID NEWTON STRENGTH COMPETITIVE GENETIC ALGORITHM FOR IN SILICO MULTI-OBJECTIVE OPTIMIZATION OF BIOCHEMICAL SYSTEM PRODUCTION
5. HYBRID SELF-ORGANIZED SWARM INTELLIGENCE FORENSIC ALGORITHM AND NEURAL NETWORK MODEL IN ESTIMATING AGE FOR MULTIPLE POPULATIONS
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Supervision

MOHD HARIZ BIN IBRAHIM
EMAD T KHALAF

Publications

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1. Random Forest for Gene Selection and Microarray Data Classification
2. Multiple Gene Sets for Cancer Classification Using Gene Range Selection Based on Random Forest
3. Multiclass Prediction for Cancer Microarray Data Using Various Variables Range Selection Based on Random Forest
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1. Random Forest for Gene Selection and Microarray Data Classification
2. Multivariate Analysis of Gene Expression Data and Missing Value Imputation Based on LLSimpute Algorithms
3. Multiple Gene Sets for Cancer Classification Using Gene Range Selection Based on Random Forest
4. Multiclass Prediction for Cancer Microarray Data Using Various Variables Range Reduction Based on Random Forest
5. Gene Selection on an Improved Iterative Feature Elimination Random Survival Forest
6. Random Forest and Gene Ontology for Functional Analysis of Microarry Data
1. Random Forest for Gene Selection and Microarray Data Classification
2. Multivariate Analysis of Gene Expression Data and Missing Value Imputation Based on LLSimpute Algorithms
3. A Review on Missing Value Imputation Algorithms for Microarray Gene Expression Data
4. Biological Analysis of Microarray Data Using Orthogonal Forward Selection with a Clustering Approach
5. A Review on Bioinformatics Enrichment Analysis Tools towards Functional Analysis of High Throughput Gene Set Data
6. A Review of Gene Selection Tools in Classifying Cancer Microarray Data

Others

Head of Initiative In Webometric (Strategic Leap 5: Brand Excellence), Chairman of the Portal Content Translation Review Committee, Chairman of the Expert Directory Committee, President of KESUKOMP 2017
1. BCS2143 - OBJECT ORIENTED PROGRAMMING
2. DCS2133 - OBJECT ORIENTED PROGRAMMING
3. MCC2039 - FINAL PROJECT
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2016 : Certificate of Excellence – PhD Thesis (Universiti Teknologi Malaysia)
2012 - 2015 : MyPhD Scholarship (Ministry of Education Malaysia)
2011 - 2012 : Zamalah Scholarship (Universiti Teknologi Malaysia)
2011 : Gold Medal Award - Bachelor Of Computer Science (Bioinformatics)
2011 : 1st Class Honours - Bachelor Of Computer Science (Bioinformatics)
2009 : Academic Excellence Award (Persatuan Mahasiswa Hindu)
2008 - 2011 : JPA Scholarship (Public Service Department of Malaysia)
2007 - 2011 : Dean’s Award (Faculty of Computing, Universiti Teknologi Malaysia)

 

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Faculty of Computer Systems & Software Engineering (FSKKP)
Universiti Malaysia Pahang
Lebuhraya Tun Razak
26300 Gambang,
Kuantan, Pahang Darul Makmur.

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