Dr. Md. Shafenoor Amin
PhD (South Korea)
MSc (Malaysia )
BCSE (IUBAT)
Assistant Professor
Room # Ext #
E-mail :
Dynamic and results‐driven educator, researcher, and data specialist with a Ph.D. in Future Vehicle Engineering (Software & AI focus) and over a decade of teaching experience across international institutions. Proven expertise in designing and delivering engaging curricula in com‐ puter science, software engineering, and data‐driven disciplines, com‐ plemented by a strong research portfolio in AI, machine learning, and computer vision. Adept at bridging academic rigor with practical ap‐ plications, from developing cost‐effective neural network solutions for deformation measurement to implementing predictive analytics in di‐ verse domains. Skilled in leading multidisciplinary projects, mentoring students, and collaborating across academia and industry to produce impactful, data‐driven solutions. Passionate about leveraging analyt‐ ical insights, advanced technologies, and innovative teaching strate‐ gies to drive both learning outcomes and real‐world problem solving.
PhD in Future Vehicle Engineering (Software & AI)
Inha University (CGPA: 4.21/4.5)
Date: 2025 Location: Incheon, South Korea
Dissertation: A Cost‐Effective Neural Network-Based Solution for Deformation
Measurement: Developing MSU‐Net
Master in Software Engineering (Software & Data Mining)
University of Malaya (CGPA: 3.68/4.0)
Date: 2018 Location: Kuala Lumpur, Malaysia
Dissertation: Identifying Significant Features and Data Mining Techniques in Predicting Cardiovascular Disease
Bachelor of Computer Science and Engineering
IUBAT – International University of Business Agriculture and Technology (CGPA: 3.76/4.0)
Date: 2012 Location: Dhaka, Bangladesh
Capstone Projects: Accounting system (Java), Faculty attendance system (Java),
Faculty assessment software(PHP), Navigation system prototype (Android/Java)
Programming & Software Development
• Object‐Oriented Programming (Python) (Inha University)
• Software Programming (Python) (Inha University)
• Programming in Java (BRAC University, IUBAT)
• Programming in C/C++ (IUBAT)
• Visual Programming (IUBAT)
• Programming Language and Structure (IUBAT)
Databases & Information Systems
• Database Design (Inha University)
• Database Systems (BRAC University, IUBAT)
• Systems Analysis and Design (BRAC University, IUBAT)
• Software Engineering (BRAC University, IUBAT)
• MIS (Management Information Systems) (IUBAT)
Algorithms & Computational Foundations
• Data Structures (BRAC University, IUBAT)
• Algorithms (BRAC University, IUBAT)
• Theory of Computation (IUBAT)
• Assembly Language (IUBAT)
Mathematics for Computing
• Discrete Mathematics (BRAC University, IUBAT)
• Linear Algebra (IUBAT)
Artificial Intelligence & Emerging Areas
• Artificial Intelligence (BRAC University, IUBAT)
• Motor Control (Inha University)
1. Amin, M. S., Dhimole, V. K., Amin, A., Yu, G., Zeyi, L., & Cho, C. (2025). Revolutionizing strain gauge testing with a novel neural network approach for deformation measurement. Journal of Mechanical Science and Technology (SCIE, Q2), 39, 4615–4624. DOI: 10.1007/s12206‐025‐0735‐y
2. Dhimole, V. K., Amin, M. S., Yu, G., Amin, A., & Cho, C. (2025). Developing the setup and algorithm for material testing method: on the use of low‐cost image data‐based non‐contact method. Journal of Mechanical Science and Technology (SCIE, Q2), 39(12). DOI: 10.1007/s12206‐025‐1153‐x
3. Amin, A., Amin, M. S., & Cho, C. (2023). An Application to Predict Range of Electric Two‐Wheeler Using Machine Learning Techniques. Applied Sciences (SCIE, Q2), 13(10), 5840. DOI: 10.3390/app13105840
4. Amin, M. S., Chiam, Y. K., & Varathan, K. D. (2019). Identification of significant features and data mining techniques in predicting heart disease. Telematics and Informatics (SSCI, Q1), 36, 82‐93. DOI: 10.1016/j.tele.2018.12.007
5. Amin, A., Amin, M. S., Park, H., & Lee, D. (2025). Electric Vehicle Range Prediction Models: A Systematic Review of Machine Learning, Mathematical, and Simulation Approaches. World Electric Vehicle Journal, 16(11), 607. DOI: 10.3390/wevj16110607
6. Dhimole, V. K., Amin, M. S., Amin, A. L., Yu, G. D., & Cho, C. (2023). Exploring a Cost‐Effective Image Data‐Based Non‐Contact Material Testing Method. 대한기계학회 춘추학술대회, 96‐96.
7. Rafie, N. M. M., Varathan, K. D., & Amin, M. S. (2019). TweetGST: A Web Based System for Sentiment Analysis and Opinion Mining for GST in Malaysia. Journal of Physics: Conference Series, 1339(1), 012053. DOI: 10.1088/1742‐6596/1339/1/012053