Arifur Rahman | Machine Learning | Best Researcher Award
Mr. Arifur Rahman, NAGAD Digital Financial Service, Bangladesh
Arifur Rahman ๐ is a passionate researcher and software engineer from Bangladesh ๐ง๐ฉ, specializing in Machine Learning ๐ค, Deep Learning ๐ง , NLP ๐, and Bioinformatics ๐งฌ. A graduate of KUET in Computer Science and Engineering ๐ป, he has excelled in both academia and industry. Currently, he serves as a Full Stack Developer ๐งโ๐ป at NAGAD Digital Financial Service, contributing to innovative supply chain projects. Arifur is also an active researcher with several IEEE and Elsevier publications ๐, and has earned recognition in programming contests ๐. His dedication to applied AI and system development showcases a unique blend of technical and research excellence ๐.
๐ย Professional Profile
๐ Education
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๐ B.Sc. in Computer Science and Engineering, KUET (2018 โ 2023)
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๐ CGPA: 3.35/4.00; Final Two Years CGPA: 3.73/4.00
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๐ซ Noakhali Govt. College (2015 โ 2017)
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๐ GPA: 5.00/5.00 (Cumilla Board Scholarship Winner)
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๐จโ๐ผ Experience
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๐งโ๐ป Software Engineer, NAGAD Digital Financial Service (Feb 2024 โ Present)
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๐ผ Full Stack Developer in PRISM (Supply Chain Management) using Flutter, Java Spring Boot, PHP
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๐ฌ Research Engineer (NLP), AIMS Lab, United International University (Oct 2023 โ Feb 2024)
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๐ Worked on Recommender Systems and published in IEEE Access
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๐จโ๐ป Software Engineer, Nazihar IT Solution Ltd. (May 2023 โ Sep 2023)
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๐ป Developed subroutines using Temenos Java Framework for banking solutions
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๐ Suitability for Best Researcher Award
Mr. Arifur Rahman is an exceptional candidate for the Best Researcher Award, demonstrating strong potential and proven excellence in research and innovation across emerging domains such as Machine Learning, Deep Learning, Natural Language Processing (NLP), Health Informatics, and Biomedical Engineering. His impactful research, hands-on development skills, and academic contributions distinguish him as a rising leader in computational science and applied AI.
๐น Professional Developmentย
Arifur Rahman ๐ is actively involved in both industry-driven software engineering and cutting-edge academic research ๐. His journey has been marked by continuous professional growth, serving in roles that merge development and innovation ๐ผ. At NAGAD, he contributes as a Full Stack Developer ๐, while his time at AIMS Lab sharpened his NLP and recommender system expertise ๐ง . He has also contributed as a reviewer in IEEE conferences ๐, showcasing his engagement with the global research community. Arifurโs hands-on experience with technologies like Flutter, Java Spring Boot, ReactJS, and blockchain ๐ highlights his dynamic skill set and commitment to excellence โญ.
๐ Research Focus
Arifur Rahmanโs research focuses on a diverse range of AI-powered technologies ๐ง , with core interests in Machine Learning, Deep Learning, and Natural Language Processing ๐ค๐. His work explores real-world applications such as health informatics ๐ฅ, bioinformatics ๐งฌ, fake news detection, and blockchain security ๐. Through his IEEE and Elsevier publications, he has addressed critical problems in diabetic retinopathy diagnosis, DNA sequence classification, and higher education recommendation systems ๐. His blend of theoretical innovation and practical solutions ensures his research contributes to both scientific progress and societal impact ๐.
๐ Awards and Honors
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๐๏ธ Deanโs List Award at KUET for outstanding academic performance (2019โ2020)
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๐ฅ Intra-KUET Programming Contest 2021 โ 3rd Place ๐ง ๐ก
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๐ฅ Intra-KUET Programming Contest 2019 โ 6th Place ๐ง
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๐ฅ Divine IT Qualification Round โ Rank 10 (Nov 2023) ๐ป
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๐ TechnoNext Technical Coding Test 2023 (Fresher) โ Rank 7 ๐ข
๐ Publication Top Notes
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Recommender system in academic choices of higher education โ IEEE Access (2024) ๐5 ๐๐ค
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Advancements in breast cancer diagnosis… with PCA, VIF โ 6th Int. Conf. on Electrical Engineering and Info (2024) ๐2 ๐งฌ๐ฉบ๐
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Optimizing SMS Spam Detection… Voting Ensembles & Bi-LSTM โ 5th Int. Conf. on Data Intelligence and Cognitive (2024) ๐1 ๐ฑ๐ฉ๐ง
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Cracking the Genetic Codes: DNA Sequence Classification… โ Int. Conf. on Advances in Computing, Communication (2024) ๐1 ๐งฌ๐งช๐ง
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Secure Land Purchasing using… Multi-Party Skyline Queries โ 26th Int. Conf. on Computer and Info Tech (2023) ๐1 ๐๐ ๐
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Fake News Detection… Soft and Hard Voting Ensemble โ Procedia Computer Science (2025) ๐โ ๐ฐโ๐ณ๏ธ