EXTERNAL PROFILES
Associate Professor
Dr. Md. Masudur Rahman
N/A
Information and Communication Engineering
BIOGRAPHY
Dr. Md. Masudur Rahman studied Computer Science Engineering and was employed by JASSO as a postdoctoral researcher at Kanagawa University in Japan in 2024. He obtained his Ph.D. from Kanagawa University, Japan, in 2023 under the supervision of Professor Minoru Yoshida, with a Japanese Government Scholarship (MEXT scholarship). Throughout his doctoral studies, Dr. Rahman collaborated with esteemed scholars, including Professor Hidetoshi Oya at Tokyo City University, Professor Shuji Kawasaki at Iwate University, and Professor Sergio Albeverio at Bonn University in Germany. Presently, Dr. Rahman is a faculty member in the Department of Information and Communication Engineering at Noakhali Science and Technology University. He has made significant contributions to both academia and the software industry. He served as a faculty member in the Computer Science and Engineering Department at Uttara University in Bangladesh, where he shared his expertise and knowledge, and has also worked professionally as a software engineer in the industry. His research interests encompass Code Smell Detection, System Design, Human–Computer Interaction, Human Healthcare Development, Medical Image and Signal Processing, Data Mining, Learning Analytics, Explainable AI for Feedback, and Software Clustering & Testing.
RESEARCH INTERESTS
2020 - 2023
Ph.D
Graduate School of Engineering
Kanagawa University, Japan
Last updated on 2025-09-28 18:26:48
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AWARDS AND ACHIEVEMENTS
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Predicting the impact of internet usage on students’ academic performance using machine learning techniques in Bangladesh perspective
Authors: Hemal, Shajid Hossain and Khan, Md Ashikur Rahman and Ahammad, Ishtiaq and Rahman, Md Masudur and Khan, Md Ahnaf Sa’D and Ejaz, SabbirHigh accuracy distinction of shockable and non-shockable arrhythmias in abnormal classes through wavelet transform with pseudo differential like operators
Authors: Rahman, Md Masudur and Albeverio, Sergio and Kagawa, Toshinao and Kawasaki, Shuji and Okai, Takayuki and Oya, Hidetoshi and Yahagi, Yumi and Yoshida, Minoru WDFU\_MultiNet: A deep neural network approach for detecting diabetic foot ulcers through multi-scale feature fusion using the DFU dataset
Authors: Biswas, Shuvo and Mostafiz, Rafid and Paul, Bikash Kumar and Uddin, Khandaker Mohammad Mohi and Rahman, Md Masudur and Shariful, FNUNo Data Found
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Halima Binta Rashid
Thesis Title: Hybrid Fusion-Based Multimodal Approach for Detecting Cyberbullying in Bengali Social Media Memes
Overview:
Nazmul Hasan
Thesis Title: An Ensemble Machine Learning Approach for Accurate Asthma Prediction
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Bristy Chakroborty
Thesis Title: Advancing Bangla Sign Language Recognition Through Dataset Creation, Model Comparison and Deployment
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Susmoy Jaman
Thesis Title: An Effective Pre-Processing of Maize Leaf Images & Deep Learning Ensemble Approach for Accurate Disease Detection
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Sariful Islam
Thesis Title: Driver Drowsiness Detection using CNN: An Effective Dataset Preparation Approach
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Samapan Das
Thesis Title: Fish Inspection with Machine Learning: A Method for Freshness and Species Identification
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Sanjida Khanam
Thesis Title: A Sustainable Method for Lung Segmentation using Watershed algorithm with Sobel filter and detection of cancer from CT Images with risk level using Deep Learning
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Sohanur Rahman
Thesis Title: Building Surface Crack Detection Using Deep Learning Technology
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- Institutional Email: masudur@nstu.edu.bd
- Personal Email: masudur_2006@yahoo.com
- Mobile number: 01712442399
- Emergency Contact: N/A
- PABX: N/A
- Website: N/A
SOCIAL PROFILES
Department
Information and Communication Engineering
Noakhali Science and Technology University