FSKKP - Official Portal

FACULTY OF COMPUTER SYSTEMS & SOFTWARE ENGINEERING (FSKKP)

kohbalan
Staff Information
Dr. Kohbalan A/L Moorthy
Deputy Director (ICT Center), Senior Lecturer (FSKKP)
(09) 424 (6403) / (09) 549 (2112)
kohbalan@ump.edu.my
Soft Computing & Intelligent Systems (SPINT)
Cancer Informatics, Machine Learning, Computational Biology, Feature Selection & Classification, Internet of Things, Artificial Intelligence
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 (UTM)

Bachelor Of Computer Science (Bioinformatics), Universiti Teknologi Malaysia (UTM)
Institute of Electrical and Electronics Engineers (IEEE)
Computer Science Teacher Association (CSTA)
Institute of Electrical and Electronics Engineers Young Professionals (IEEE)

Research

1. GENE SELECTION / FEATURE SELECTION / VARIABLE SELECTION
2. CANCER CLASSIFICATION / PREDICTION
3. SUPERVISED LEARNING
4. MICROARRAY GENE EXPRESSION ANALYSIS
5. MISSING VALUE IMPUTATION
6. BIOINFORMATICS
1. A Hybrid Algorithm Of Random Forest And Support Vector Machine (RF-SVM) To Select Informative Genes For Higher Classification Accuracy Of Cancer Microarray Data
2. A Cooperative Co-Evolutionary Algorithm For Fuzzy Modelling In Cancer Classification
3. A Code Clone Detection Model For .Net Platform Applications
4. A Two-Stage Random Forest Method For Gene Selection And Classification Of Cancer Microarray Data
5. Hybrid Self-Organized Swarm Intelligence Forensic Algorithm And Neural Network Model In Estimating Age For Multiple Populations
6. Protecting Confidential Clinical Information Using Steganography Technique
7. A New Masking Model In Image And Video Processing
8. An Improved Step-Counting Hill Climbing Algorithm In Vehicle Routing Problem
9. An Enhanced Algorithm Of A Hybrid Newton Strength Competitive Genetic Algorithm For In Silico Multiobjective Optimization Of Biochemical System Production
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Supervision

MOHD HARIZ BIN IBRAHIM
EMAD T KHALAF

Publications

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Indexed by ISI
1. Khalaf, E. T., Mohammad, M. N., & Moorthy, K. (2018). Robust partitioning and indexing for iris biometric database based on local features. IET Biometrics.
2. Khalaf, E. T., Mohammad, M. N., Moorthy, K., & Khalaf, A. T. (2018). Efficient Classifying and Indexing for Large Iris Database Based on Enhanced Clustering Method. Studies in Informatics and Control, 27(2), 191-200.
3. Shi, T. W., Kah, W. S., Mohamad, M. S., Moorthy, K., Deris, S., Sjaugi, M. F., . . . Kasim, S. (2017). A Review of Gene Selection Tools in Classifying Cancer Microarray Data. Current Bioinformatics, 12(3), 202-212.
4. Shi Jing, L., Fathiah Muzaffar Shah, F., Saberi Mohamad, M., Moorthy, K., Deris, S., Zakaria, Z., & Napis, S. (2015). A Review on Bioinformatics Enrichment Analysis Tools Towards Functional Analysis of High Throughput Gene Set Data. Current Proteomics, 12(1), 14-27.
5. Kah, W. S., Moorthy, K., Mohamad, M. S., Kasim, S., Deris, S., Omatu, S., & Yoshioka, M. (2015). Biological Analysis of Microarray Data Using Orthogonal Forward Selection with a Clustering Approach. Journal of Biological Systems, 23(02), 275-288.
6. Moorthy, K., Saberi Mohamad, M., & Deris, S. (2014). A Review on Missing Value Imputation Algorithms for Microarray Gene Expression Data. Current Bioinformatics, 9(1), 18-22.
7. Moorthy, K., Mohamad, M. S., & Deris, S. (2013). Multiple Gene Sets for Cancer Classification Using Gene Range Selection Based on Random Forest Lecture Notes in Computer Science (Vol. 7802, pp. 385-393). Berlin, Heidelberg: Springer Berlin Heidelberg.
8. Moorthy, K., & Mohamad, M. S. (2012). Random Forest for Gene Selection and Microarray Data Classification Communications in Computer and Information Science (Vol. 295, pp. 174-183). Berlin, Heidelberg: Springer Berlin Heidelberg.


Indexed by SCOPUS
1. Ernawan, F., Liew, S.-C., Mustaffa, Z., & Moorthy, K. (2018). A Blind Multiple Watermarks based on Human Visual Characteristics. International Journal of Electrical and Computer Engineering (IJECE), 8(4).
2. Ismail, M. A., Mezhuyev, V., Moorthy, K., Kasim, S., & Ibrahim, A. O. (2017). Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 8(1), 27-35.
3. Kusairi, R. M., Moorthy, K., Haron, H., Mohamad, M. S., Napis, S., & Kasim, S. (2017). An Improved Parallelized mRMR for Gene Subset Selection in Cancer Classification. International Journal on Advanced Science, Engineering and Information Technology, 7(4-2), 1595-1600.
4. Soon, T. W., Moorthy, K., Mohamad, M. S., Deris, S., & Omatu, S. (2015). Gene Selection Based On an Improved Iterative Feature Elimination Random Survival Forest. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications, 2015, 124-129.
5. Shi, T. W., Moorthy, K., Mohamad, M. S., Deris, S., Omatu, S., & Yoshioka, M. (2014). Random Forest and Gene Ontology for functional analysis of microarray data. Paper presented at the 2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA).
6. Moorthy, K., Mohamad, M. S., & Deris, S. (2013). Multiclass Prediction for Cancer Microarray Data Using Various Variables Range Selection Based on Random Forest Lecture Notes in Computer Science (Vol. 7867, pp. 247-257). Berlin, Heidelberg: Springer Berlin Heidelberg.
7. Moorthy, K., Mohamad, M. S., & Deris, S. (2013). Multiclass Prediction for Cancer Microarray Data Using Various Variables Range Reduction Based on Random Forest. Paper presented at the The First International Workshop on Data Analytics for Targeted Healthcare (DANTH 2013), Gold Coast, Australia.
8. Moorthy, K., Mohamad, M. S., & Deris, S. (2013). Multiple Gene Sets for Cancer Classification Using Gene Range Selection Based on Random Forest. Paper presented at the The 5th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2013), Istana Hotel, Kuala Lumpur, Malaysia.
9. Moorthy, K., Mohamad, M. S., Deris, S., & Ibrahim, Z. (2012). Multivariate Analysis of Gene Expression Data and Missing Value Imputation Based on LLSimpute Algorithms. ICIC Express Letters, 6(5), 1335-1339.
10. Moorthy, K., Mohamad, M. S., Deris, S., & Ibrahim, Z. (2011). Multivariate Analysis of Gene Expression Data and Missing Value Imputation Based on LLSimpute Algorithms. Paper presented at the The Sixth International Conference on Innovative Computing, Information and Control (ICICIC 2011).
11. Moorthy, K., & Mohamad, M. S. (2011). Random Forest for Gene Selection and Microarray Data Classification. Paper presented at the The 3rd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2011).


Others
1. Chandran, S., Moorthy, K., Ismail, M. A., Osman, M. Z., Hamza, M. A. M., & Ernawan, F. (2018). An Improved Integrative Random Forest for Gene Regulatory Network Inference for Breast Cancer. Advanced Science Letters, 24(10), 7566-7571.
2. Ibrahim, M. H., Othman@Mustafa, M. S., Mufadal, M. E., & Moorthy, K. (2018). A Survey on Internet Security Threat in Malaysia’s Internet Banking System and Suggestion Solutions. Advanced Science Letters, 24(10), 7433-7441.
3. Osman, M. Z., Maarof, M. A., Rohani, M. F., Moorthy, K., & Awang, S. (2018). Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis. Advanced Science Letters, 24(10), 7662-7667.
4. Darmawan, M. F., Osman, M. Z., & Moorthy, K. (2018). Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand. Advanced Science Letters, 24(10), 7559-7565.
5. Khalaf, E. T., Mohammad, M. N., Moorthy, K., & Hasan, R. A. (2018). Biometric Template Protection Based on Hill Cipher Algorithm with Two Invertible Keys. Advanced Science Letters, 24(10), 7643-7649.
6. Ismail, M. A., Razak, K. A., Moorthy, K., Mezhuyev, V., Kasim, S., & Ibrahim, A. O. (2018). Newton Competitive Genetic Algorithm Method for Optimization the Production of Biochemical Systems. Advanced Science Letters, 24(10), 7481-7485.
7. Ismail, M. A., Razak, K. A., Moorthy, K., Mezhuyev, V., & Kasim, S. (2017). Newton Competitive Genetic Algorithm Method for Optimization the Production of Biochemical Systems. Paper presented at the The 5th International Conference on Software Engineering & Computer Systems (ICSECS 2017), Pulau Langkawi, Malaysia.
8. Khalaf, E. T., Mohammad, M. N., Moorthy, K., & Albukamrh, R. (2017). Biometric Template Protection based on Hill Cipher Algorithm with Two Invertible keys. Paper presented at the The 5th International Conference on Software Engineering & Computer Systems (ICSECS 2017), Pulau Langkawi, Malaysia.
9. Chandran, S., Moorthy, K., Ismail, M. A., Osman, M. Z., Hamza, M. A. M., & Ernawan, F. (2017). An Improved Integrative Random Forest for Gene Regulatory Network Inference of Breast Cancer. Paper presented at the The 5th International Conference on Software Engineering & Computer Systems (ICSECS 2017), Pulau Langkawi, Malaysia.
10. Ibrahim, M. H., Othman@Mustafa, M. S., Mufadal, M. E., & Moorthy, K. (2017). A Survey of Internet Security Threat in Malaysia’s Internet Banking System and Suggestion Solutions. Paper presented at the The 5th International Conference on Software Engineering & Computer Systems (ICSECS 2017), Pulau Langkawi, Malaysia.
11. Osman, M. Z., Maarof, M. A., Rohani, M. F., & Moorthy, K. (2017). Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis. Paper presented at the The 5th International Conference on Software Engineering & Computer Systems (ICSECS 2017), Pulau Langkawi, Malaysia.
12. Darmawan, M. F., Osman, M. Z., & Moorthy, K. (2017). Age Estimation of Asian Using Soft Computing Model Based on Bone’ Length of Left Hand. Paper presented at the The 5th International Conference on Software Engineering & Computer Systems (ICSECS 2017), Pulau Langkawi, Malaysia.
13. Moorthy, K. (2015). Improved Random Forest with Multiple Support Vector Machine for Gene Selection and Classification of Microarray Data. (Doctor of Philosophy (Computer Science)), Universiti Teknologi Malaysia, Faculty of Computing.
14. Moorthy, K., & Mohamad, M. S. (2011). Random forest for gene selection and microarray data classification. Bioinformation, 7(3), 142-146.

Others

Chairman of the Web and Portal Committee; Member of Information Technology Technical Committee (JTICT); Head of Initiative In University Savings (Strategic Leap 2: Financial Sustainability); Head of Initiative In Webometric (Strategic Leap 5: Brand Excellence); Chairman of the Portal Content Translation Review Committee; Chairman of the Expert Directory Committee;
1. BCS2143 - Object Oriented Programming
2. DCS2133 - Object Oriented Programming
3. MCC2039 - Final Project
4. BCI1093 - Data Structure & Algorithms
5. DCI1023 - Programming Techniques
6. BCS1023 - Programming Techniques
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2018 : Excellent Service Award – “Hari Kualiti Dan Inovasi 2018” (Universiti Malaysia Pahang)
2017 : Most Creative Lecturer – “Malam Seharum Kasturi Pre Graduation FSKKP 16/17”, Persatuan Teknologi Komputer (PETAKOM), Universiti Malaysia Pahang
2016 - 2017 : Certificate of Excellence – Instructional Evaluation and Exceptional Commitment Towards Teaching and Learning (Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang)
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,
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