Md. Mokhlesur Rahman
Assistant Professor
MD. MOKHLESUR RAHMAN received his B.Sc.(Engg) degree in Computer Science & Engineering (CSE) from Faculty of Engineering, Mawlana Bhashani Science and Technology University (MBSTU), Bangladesh and M.Sc. in Information Technology (Computer science), at Research Centre for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Malaysia. His research interest is machine learning, deep learning, data security and privacy, autism. He has a good number of publications in reputable journals both locally and internationally. He worked as a SENIOR WEB DEVELOPER at Squadro Solutions, Dhaka, Bangladesh in 2010. Next year he joined to International Acumen Limited as an ASSISTANT ENGINEER, Dhaka, Bangladesh. At the end of 2012, he joined as a LECTURER to Prime University, Mirpur-1, Dhaka, Bangladesh. He also performed as the HEAD, Self-Assessment Committee (SAC) under IQAC, Department of CSE, Prime University. Now, he is serving as ASSISTANT PROFESSOR at the same University.
MSc in IT (Computer Science), Universiti Kebangsaan Malaysia (UKM), Malaysia.
BSc (Engg) in CSE, Mawlana Bhashani Science and Technology University (MBSTU), Bangladesh.
Data Security & Privacy
Deep Learning
Image Processing
Machine Learning
Bioinformatics
Wireless Sensor Network.
1. Assistant Professor
Dept of Computer Science and Engineering (CSE)
Prime University
Mirpur-1, Dhaka-1216, Bangladesh.
Service Period: 17/10/2012 to Continue.
2. Head
Self-Assessment Committee (SAC)
Dept of CSE
Institutional Quality Assurance Cell (IQAC)
Prime University
Service Period: 06/2017 to 12/2018.
3. Assistant Engineer
International Acumen Limited
39, Purana Paltan, Level-1, Suit-A
Dhaka-1000, Bangladesh.
Service Period: 01/04/2011 to 16/10/2012.
4. Senior Web Developer
SQUADRO SOLUTIONS LTD.
H#89, R# 6/C, Old D.O.H.S Banani, Dhaka-1213, Bangladesh
Service Period: 01/04/2010 to 31/03/2011.
1. Bhuiyan ZW, Rahman MM, Atib ZBM, Hasan M, Habib MT (2025) “A Unified Deep Learning Approach for Lung Cancer Detection across CT and Histopathological Modalities”, 28th International Conference on Computer and Information Technology (ICCIT), IEEE.
2. Rahman MM, Muniyandi RC, Sahran S, Usman OL, Moniruzzaman M (2024), "Restoring private autism dataset from sanitized database using an optimized key produced from enhanced combined PSO-GWO framework", Scientific Reports, 14(1), 15763.
3. Rahman MM (2022), "An Enhanced Privacy Preserving Framework for Data Sanitization and Restoration", Centre for Cyber Security, FTSM, Universiti Kebangsaan Malaysia.
4. Rahman MM, Muniyandi RC, Sahran S, Mohamed S (2021), "Enhancement of an Optimized Key for Database Sanitization to Ensure the Security and Privacy of an Autism Dataset", Symmetry, 13(10), pp 1912.
5. Mamun AA, Hasan MR, Rahman MM, Rahman MM, Singha SP, Khan MY (2021), "A Review on Artificial Neural Network and Sign Languages Detection Using Deep CNN", Journal of Research in Computer Science and Engineering, 6 (3), pp 10-34.
6. Hasan MR, Mamun AA, Rahman MM, Khan MY, Hossain MS, Hasan R (2021), "A Review on the Convolutional Neural Networks (CNN) and Hand-Written Digit Recognition Using Deep Convolutional Neural Network. Journal of Computer, Internet and Network Security", 6 (2), pp 1-18.
7. Rahman MA, Muniyandi RC, Albashish D, Rahman MM, Usman OL (2021), "Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer", PeerJ Computer Science, 7, pp e344.
8. Rahman MM, Usman OL, Muniyandi RC, Sahran S, Mohamed S, Razak RA (2020). A Review of Machine Learning Methods of Feature Selection and Classification for Autism Spectrum Disorder”, Brain Sciences, 10(12), pp 949.
9. Rahman MA, Muniyandi RC, Islam KT, Rahman MM (2019) “Ovarian cancer classification accuracy analysis using 15-neuron artificial neural networks model”, 2019 IEEE Student Conference on Research and Development (SCOReD), pp 33-38, IEEE.
10. Mottalib MM, Rahman MM, Habib MT, Ahmed F (2016), "Detection of the Onset of Diabetes Mellitus by Bayesian Classifier Based Medical Expert System", Transactions on Machine Learning and Artificial Intelligence (TMLAI), 4(4), pp 1-8.
11. Rahman MM, Habib MT (2016), "A Preprocessed Counterpropagation Neural Network Classifier for Automated Textile Defect Classification”, Journal of Industrial and Intelligent Information (JIII), 4(3), pp 209-217.
12. Haque MM, Habib MT, Rahman MM (2015), "Automated Word Prediction in Bangla Language Using Stochastic Language Models", International Journal in Foundations of Computer Science & Technology (IJFCST), 5(6), pp 67-75.
13. Rahman MM (2010), "Energy Efficient Mobility Adaptive Clustering Protocol for Sensor Network", Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Bangladesh.
Grant
Ministry of Higher Education, Malaysia (Putrajaya, MY)
MSc:
(i) Graduate Research Assistant (GRA) Scheme from the Department of Higher Education, Malaysia Education Ministry.
(ii) Publication Assistance from FTSM, UKM.
BSc:
(i) Placed First Class Second Position in the year 2010.
(ii) University Merit Scholarship.
Bengali (Native), English (Fluent), Arabic (Medium), Malay (Medium), Hindi (Medium)