Rafid Mostafiz at Noakhali Science and Technology University Bangladesh
Summary:
Mr. Rafid Mostafiz is a dedicated lecturer at the Institute of Information Technology, Noakhali Science and Technology University. His academic journey is marked by a strong foundation in computer science and engineering, focusing on deep learning, machine learning, computer vision, and data science. With a robust background in both teaching and research, he has contributed significantly to the fields of digital image processing, artificial intelligence, and distributed computing.
👩🎓Education:
- Master of Science in Computer Science and Engineering
- Mawlana Bhashani Science and Technology University, Bangladesh
- Duration: January 24, 2018 – September 28, 2020
- CGPA: 3.88/4.00
- Thesis: “Automatic Lesions Detection in Liver Ultrasound using Super Resolution and Deep Feature Fusion”
- Bachelor of Science in Computer Science and Engineering
- Mawlana Bhashani Science and Technology University, Bangladesh
- Duration: January 29, 2012 – July 30, 2017
- CGPA: 3.58/4.00
- Thesis: “Speckle Noise Reduction for 3-D Ultrasound Images by Optimum Threshold Parameter Estimation”
Professional Experience:
Mr. Rafid Mostafiz has built a robust career in academia, blending teaching and research with a focus on cutting-edge technologies. Currently, he serves as a Lecturer at the Institute of Information Technology, Noakhali Science and Technology University, where he has been since January 2022. In this role, he teaches courses such as Theory of Computation, Web Technology, Computer Architecture, and Distributed Computing, while also engaging in research on data science, machine learning, information theory, and security.
Prior to his current position, Rafid was an Assistant Professor at the Department of Computer Science & Engineering at Dhaka International University from January 2021 to January 2022. There, he taught Algorithm Design and Analysis, Data Structures, Object-Oriented Programming with JAVA, Digital Image Processing, and Artificial Intelligence. His research during this period focused on artificial intelligence, computer and robotics vision, neural networks and machine learning, Internet of Things, and blockchain technologies.
Research Interest :
Mr. Rafid Mostafiz’s research interests lie at the intersection of advanced computational techniques and real-world applications. He is deeply engaged in the fields of deep learning and machine learning, where he explores the development of intelligent systems capable of performing complex tasks. His work in computer vision focuses on enhancing image and video analysis through innovative algorithms and models. Rafid is also passionate about data science, utilizing statistical methods and computational tools to extract meaningful insights from large datasets. His research extends to the application of these technologies in biomedical imaging, where he aims to improve diagnostic accuracy and patient outcomes through advanced image processing techniques.
Publication Top Noted:
Paper Title: DFU_XAI: a deep learning-based approach to diabetic foot ulcer detection using feature explainability
- Authors: Shuvo Biswas, Rafid Mostafiz, Bikash Kumar Paul, Khandaker Mohammad Mohi Uddin, Md Abdul Hadi, Fahmida Khanom
- Journal: Biomedical Materials & Devices
- Year: 2024
- Citations:2
Paper Title: MultiResEdge: A deep learning-based edge detection approach
- Authors:Kanija Muntarina, Rafid Mostafiz, Fahmida Khanom, Sumaita Binte Shorif, Mohammad Shorif Uddin
- Journal:Intelligent Systems with Applications
- Year: 2023
- Citations:4
Paper Title: XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer
- Authors:Sarreha Tasmin Rikta, Khandaker Mohammad Mohi Uddin, Nitish Biswas, Rafid Mostafiz, Fateha Sharmin, Samrat Kumar Dey
- Journal: Journal of Pathology Informatics
- Year: 2023
- Citations:5
Paper Title: DFU_MultiNet: A deep neural network approach for detecting diabetic foot ulcers through multi-scale feature fusion using the DFU dataset
- Authors:Shuvo Biswas, Rafid Mostafiz, Bikash Kumar Paul, Khandaker Mohammad Mohi Uddin, Md Masudur Rahman, FNU Shariful
- Journal: Intelligence-Based Medicine
- Year: 2023
- Citations:5
Paper Title: Analysis of the performance of feature optimization techniques for the diagnosis of machine learning-based chronic kidney disease
- Authors:Muhammad Minoar Hossain, Reshma Ahmed Swarna, Rafid Mostafiz, Pabon Shaha, Lubna Yasmin Pinky, Mohammad Motiur Rahman, Wahidur Rahman, Md Selim Hossain, Md Elias Hossain, Md Sadiq Iqbal
- Journal:Machine Learning with Applications
- Year: 2022
- Citations:11