Department of Computer Science and Engineering
Md. Jubayar Alam Rafi  Lecturer
Name :
Md. Jubayar Alam Rafi
Designation
Lecturer  
Department
Department of Computer Science and Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/cse/jubayarcse.html
E-mail
alamrafi.cse@diu.edu.bd
Phone
Cell-Phone
01707587089
Degree Institution Subject/Group Passing Year
M.Sc. Noakhali Science and Technology University [NSTU] Computer Science and telecommunication Engineering [ CSTE ] 2025
B.Sc. Noakhali Science and technology University [NSTU] Computer Science and telecommunication Engineering [ CSTE ] 2023

 

  1. Python Data Structures by University of Michigan
  2. Data Science Math Skills by Duke University
  3. Computer Vision Basics by University at Buffalo, State University of New York
  4. Towards Excellence in Educational Leadership by HRDI-DIU
  5. Outcome Based Education (OBE) & Bloom’s Taxonomy, facilitated by Prof. Dr. Md. Mozahar Ali, Professor, Agricultural Extension Education in the Graduate Training institute (GTI) of Bangladesh Agricultural University (BAU).
  6. Student Mentoring Strategies for a Positive Teaching Environment, facilitated by Professor Dr. Mehtab Khanam, Psychotherapist, Honorary Professor, Department of Psychology, Dhaka University.
  7. Effective Brainstorming and Mind Mapping Technique for Teaching Success, facilitated by Prof. Dr. Yusuf Mahbubul Islam, Honorable Vice Chancellor, Southeast University.
  8. Industry and Academia Collaboration, facilitated by G M Kamrul Hassan, CEO -AKIJ Infotech, AKIJ BPL & Akij Telecom LTD.
  9. Leadership & Skill Development, facilitated by Dr. Md. Sabur Khan, Honorable Chairman, BOT, DIU.
  • C, C++
  • OOP
  • DBMS
  • Algorithm
  • Data Structure
  • Compiler Design
  • Data Mining
  • Machine Learning
  • Artificial intelligence

Journal: 

  1. Md Jubayar Alam Rafi, Mohammad Rony, and Nazia Majadi. "NSTU-BDTAKA: An open dataset for Bangladeshi paper currency detection and recognition." Data in Brief55 (2024): 110701. DOI: https://doi.org/10.1016/j.dib.2024.110701
  1. Isalm, Md Riadul, Nabil Bin Mahabub, Md Jubayar Alam Rafi, Pronoy Kanti Roy, Turjo Roy, Md Tariqul Islam, and Md Abdur Razzak. "UGV-NBWASTE: An oriented dataset for non-biodegradable waste in Bangladesh." Data in Brief60 (2025): 111559. 
    DOI: https://doi.org/10.1016/j.dib.2025.111559
  1. Prity, Farida Siddiqi, Mirza Raquib, Saydul Akbar Murad, Md Jubayar Alam Rafi, Md Khairul Bashar Bhuiyan, and Anupam Kumar Bairagi. "Neural Network-based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-based Model and Direct Imaging Model." arXiv preprint arXiv:2507.02322 (2025). DOI: https://doi.org/10.48550/arXiv.2507.02322

 

Conference:

  1. Raquib Mirza, Mohammad Amzad Hossain, Jubayar Alam Rafi, Iftehaz Newaz, Maruf Hossain, Mohammad Rony, Farida Siddiqi Prity, and Bipul Hossain. "VashaNet-V2: Bangla Handwritten Character Recognition Using a Novel Deep Convolutional Neural Network and an Extended Original Dataset." In International Conference on Machine Intelligence and Emerging Technologies, pp. 491-506. Singapore: Springer Nature Singapore, 2024. DOI: https://doi.org/10.1007/978-981-96-2721-9_32
  1. Roy, Pronoy Kanti, Md Riadul Islam, and Md Jubayar Alam Rafi. "Non-biodegradable plastic waste detection and classification using deep learning: Bangladeshi environmental scenario." In 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), pp. 172-177. IEEE, 2024. DOI: https://doi.org/10.1109/ICEEICT62016.2024.10534312
  1. Maruf, MD Omar Faruk, Md Riadul Islam, Md Jubayar Alam Rafi, Md Abu Sufian Shake, and Md Tariqul Islam. "Non-permissible Mobile Detection to Enhance Security in Bangladeshi Museum: A Multiprocess YOLO-Based Approach." In 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), pp. 37-42. IEEE, 2024. DOI: https://doi.org/10.1109/ICEEICT62016.2024.10534325
  1. Masud, Arpita, Md Masudur Rahman, Partho Sarathi Sarker, MD Jubayar Alam Rafi, and Mirza Raquib. "Citrus Leaf Disease Classification Using Different Deep Learning Models: A Survey of Southern part of Bangladesh." In 2024 27th International Conference on Computer and Information Technology (ICCIT), pp. 121-126. IEEE, 2024. DOI: https://doi.org/10.1109/ICCIT64611.2024.11022384
  • Computer Vision
  • Artificial intelligence
  • Machine Learning
  • Data Science

 

National Science and Technology [NST] Fellowship I have been selected for the prestigious Ministry of Science and Technology awards National Science and Technology (NST) Fellowship [2023 – 2024]. Paper Title: "Predicting Student Engagement in Collaborative Learning using Computer Vision: In the Perspective of Bangladesh ". 
ICT Innovation Fund Co-PI: ICT Innovation Fund [2023-2024] 
Paper Title: " Real-time Bangladeshi currency recognition for visually impaired people." 

 

1. Lecturer,
Department Of CSE,
University of Global Village, Barisal.
July 2023 – December 2024

2. Research & Development Intern
Tappware Solutions Limited, 57 VIP Rd, Dhaka 1000
Nov 2022 – June 2023