Muhammad Mokhlesur Rahman is currently working as a Project Coordinator at iQuantile LLC and a Research Assistant (RA) at the Department of Computer Science and Engineering, United International University (UIU). He is working on a project named “Onubad: English to Bangla Machine Translator.” Under Professor Dr. Mohammad Nurul Huda's principle investigation, his work involved developing a neural machine translator that can translate English to Bangla (widely known as Bengali).
He achieved his M.Sc. in Computer Science & Engineering (MSCSE) Degree from United International University in 2020. His thesis is titled “Analysis of Gene Expression Data for Glioma Grade Classification and Survival Time Prediction.” In this work, He focused on a comparative study of different feature selection methods and proposed a new methodological approach to identify gene expression patterns effectively to classify unknown samples. If the tumor types are classified correctly and predict survival time, the treatment plan can be improved for brain tumor patients, so he proposes a novel pipeline framework for glioma analysis that uses several feature selection algorithms followed by effective classifier selection to predict the tumor type based on gene expression data and find the top n number of genes as features for tumor type and find the possible survival time in days.
He completed his BSc. in Computer Science and Engineering from Ahsanullah University of Science & Technology (AUST) in 2012. During his BSc. he has a number of quality publications in both national and international conferences and journals. His first paper, titled "Comparison between FDD and TDD frame structure in SC-FDMA,” was published at International Conference on Informatics, Electronics & Vision (ICIEV) in 2012. The second paper was titled “Performance Analysis of SC-FDMA and OFDMA in LTE Frame Structure” in 2012 at the International Journal of Computer Applications, Volume 45 - Number 23.
The research interest of Mr. Rahman Includes bioinformatics, Natural language Processing (NLP), machine learning, deep learning, and data Mining.
He has worked as a Graduate Assitant at United International University from Nov 2017 – April 2020.