Ruhul Amin
Ruhul Amin
Lecturer
Ruhul Amin received the Masters of Science (M.Sc.) and Bachelors of Science (B.Sc.) degree in Statistics from the Pabna University of Science & Technology (PUST), Pabna, Bangladesh. He joined the Deep Statistical Learning & Research Laboratory, PUST, in 2021, under the supervision of Dr. Shamim Reza, Professor, and In-Charge of the Lab, Dept. of Statistics, PUST. Recognized for his exceptional contributions, he has received prestigious accolades, including the National Science & Technology (NST) Fellowship from the Ministry of Science and Technology, Bangladesh, for his research work. His commitment to pioneering research is evident through his successful projects, such as "An Online Diagnosis of Osteoporosis Patients Grading Using Artificial Intelligence Tools," which was accepted as an Innovative Project at Pabna University of Science and Technology (PUST). Ruhul's scholarly impact extends to his publications in world reputable journals like IEEE Access, ELSEVIER, MDPI, and etc. Additionally, he serves as a reviewer for Elsevier and PLOS ONE journals, contributing his expertise to ensure the quality and rigor of scientific publications in his field. A sought-after speaker, Ruhul has presented his research findings at esteemed conferences and seminars, including the International Conference on the 4th Industrial Revolution (IC4IR) and Beyond, 2021. He is working on Sarcopenia diseases, liver disease diagnosis, handwritten digit recognition optimization, diabetes, and osteoporosis patient classification. His research interests include big data analysis, statistical learning algorithms, deep learning, health informatics, and the application of these techniques to the processing of medical images and healthcare data.
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M.Sc. in StatisticsPabna University of Science and Technology University.
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B.Sc. in StatisticsPabna University of Science and Technology University.
Research Funding and Awards
NST Fellowship • Selected as a “National Science & Technology (NST) Fellow” under the Government of the People's Republic of Bangladesh, Ministry of Science and Technology to conduct the research entitled” Osteoporosis Classification Using Customized Convolution Neural Network: A Case Study in Bangladesh”. Innovative Research Project • The research project entitled” An Online Diagnosis of Osteoporosis Patients Grading Using Artificial Intelligence Tools: A Case Study in Pabna” has been accepted under the Pabna University Science & Technology (PUST) Innovative Project.
Published Research Paper
Ruhul Amin, Md. Shamim Reza, Md. Maniruzzaman, Md. Al Mehedi Hasan, Hyoun-Sup Lee, Si-Woong Jang, Jungpil Shin, “Intensive Statistical Exploration to Identify Osteoporosis Predisposing Factors and Optimizing Recognition Performance with Integrated GP Kernels”, IEEE Access, vol. 11, pp. 131338-131350 doi: 10.1109/ACCESS.2023.3336422, Dec. 2023 (SCI and Scopus, Q1, IF: 3.476). Ruhul Amin, Md. Shamim Reza, Yuichi Okuyama, Yoichi Tomioka, Junpil Shin, “A Fine-Tuned Hybrid Stacked CNN to Improve Bengali Handwritten Digit Recognition, “Electronics. 2023, Vol. 12, Page 3337 Aug. 2023, doi: 10.3390/ELECTRONICS12153337 (Q2, SCI, IF=2.90). Ruhul Amin, Rubia Yasmin, Sabba Ruhi, Md. Habibur Rahman, Md. Shamim Reza, “Prediction of chronic liver disease patients using integrated projection based statistical feature extraction with machine learning algorithms”, Informatics Medicine Unlocked, vol. 36, no. June 2022, p. 101155, 2023, doi: 10.1016/j.imu.2022.101155 (Q2, Scopus, IF=6.12). Dr. Md. Shamim Reza, Ruhul Amin, Rubia Yeasmin, Woomme Kulsum, Sabba Ruhi, “Improving Diabetes Disease Patients Classification Using Stacking Ensemble Method with PIMA and Local Healthcare Data”, Accepted-10th Jan, 2024, Heliyon (Q1, SCI, Scopus). Rubia Yasmin, Ruhul Amin, & Dr. Md. Shamim Reza, “Effects of hybrid non-linear feature extraction method on different data sampling techniques for liver disease prediction,” Journal of Future Sustainability, vol. 2, no. 2, pp. 57–64, 2022, doi: 10.5267/j.jfs.2022.9.005. Rubia Yasmin, Ruhul Amin, & Dr. Md. Shamim Reza, “Effect of Integrated Kernel PCA Function on Data Sampling Techniques for Liver Disease Prediction,” BAUET Journal, vol. 03, issue 02: page: 40–47,2022. Md. Shamim Reza, Umme Hafsha, Ruhul Amin, Rubia Yasmin, and Sabba Ruhi.” Improving SVM Performance for Type II Diabetes Prediction with an Improved Non-Linear Kernel: Insights from the PIMA Dataset.” Computer Methods and Programs in Biomedicine Update (2023): 100118. Elsevier.
Conference Proceeding
Rubia Yasmin, Ruhul Amin, and Md Shamim Reza. “Design of Novel Feature Union for Prediction of Liver Disease Patients: A Machine Learning Approach.” In The Fourth Industrial Revolution and Beyond: Select Proceedings of IC4IR+, pp. 515-526, Lecture Notes in Electrical Engineering, 2023 (Springer Nature, SJR, Q4, IF=0.147).
Scientific Talk
Presented on the topic of” Design of Novel Feature Union for Prediction of Liver Disease Patients: A Machine Learning Approach” on ’International Conference on 4th Industrial Revolution (IC4IR) and Beyond”, On the 100th Birth Anniversary of the Father of the Nation of Bangladesh, Bangabandhu Sheikh Mujibur Rahman and 50th anniversary of independence of the country, Organized by University Grant Commission (UGC), December, 2021. In January 2022, the department of Statistics at Pabna University of Science and Technology hosted a seminar titled” How to write a research paper: Tools & Techniques” on the discussion of ways to write scientific research papers.