Md. Rakibul Hasan
Lecturer
Academic Qualification:
• MSc, East West University, CGPA: 3.47
• BSc, East West University, CGPA: 3.59
• HSC, Notre Dame College, Dhaka. GPA 5.00
• SSC, Motijheel Govt. Boys’ High School. GPA 5.00
Professional Experience:
• Lecturer, Department of CSE, Bangladesh University.
• Have a two year working experience as a Teaching Assistant (TA) in East West University
• Have a two month experience of working as a Trainee Data Scientist in JoinVenture AI
Projects:
• Movie Recommendation System: Developed a personalized movie recommendation system using Collaborative Filtering, implementing the algorithm from scratch in python.
• Product Recommendation Chatbot: Built a personalized product recommendation chatbot for Bangladesh as capstone project in python.
• Kidney stone detection project: Applied YOLO V8 baseline model, YOLO V10, YOLO V11, YOLO V12 with DINO v3 and Graph Attention Network (GAT) model for detecting kidney stone from CT scan images.
• Lung Cancer cell detection: Built several models to compare the performance for detecting lung cancer cell from histopathology images.
• Online E-Ticket System: Built a user-friendly ticket booking website with HTML, CSS, and JavaScript on the frontend and Django on the backend, featuring seat selection and downloadable PDF tickets.
GitHub profile: https://github.com/rakib034
Achievements:
Received the Best Paper Award at the 5th International Conference on Applied Intelligence and Informatics (AII 2025), held in Washington, D.C., USA, for the paper titled “CodeMixEcom-Emotion: A Large-Scale Bangla-English Review Corpus and Transformer-Based Benchmark for Fine-Grained Emotion Detection.”
Skills:
• Language: Bangla, English
• Programing language: C, C++, Python, HTML
• Experienced in using Python Pandas for data analysis
• Software: Microsoft office, Google Docs, Google sheets, Google Colab, Google Classroom, Google Meet
• Rashid, M.R.A., Hasan, K.F., Hasan, R., Das, A., Sultana, M., Hasan, M., 2024. A comprehensive dataset for sentiment and emotion classification from Bangladesh e-commerce reviews. Data in Brief 53, 110052. https://doi.org/10.1016/j.dib.2024.110052
• Islam, M.M., Ahmed, Md.J., Shafi, M.B., Das, A., Hasan, Md.R., Rafi, A.A., Rashid, M.R.A., Niloy, N.T., Ali, Md.S., Chowdhury, A., Rasel, A.A.S., 2025. BDMANGO: An image dataset for identifying the variety of mango based on the mango leaves. Data in Brief 58, 111241. https://doi.org/10.1016/j.dib.2024.111241
• Accepted paper titled ‘Histopathology Images-Based Deep Learning Prediction of Prognosis and Therapeutic Response in Small Cell Lung Cancer’ in ICDMIS 2024
• Islam, M.M., Das, A., Shams, K., Hasan, Md.R., Hasan, K.F., Rashid, M.R.A., Chowdhury, A., Ali, M.S., Islam, M., Shahjalal, M., Masum, S., 2025. TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roads. Data in Brief 59, 111398. https://doi.org/10.1016/j.dib.2025.111398
• M. R. A. Rashid, A. Das, K. F. Hasan, M. R. Hasan, M. Sultana, M. Hasan, R. U. Islam, R. A. Tuhin, and M. S. H. Khan, “BERT-KAN: Enhancing bilingual sentiment analysis in Bangladeshi e-commerce through fine-tuned large language models,” Natural Language Processing Journal, vol. 13, p. 100190, 2025, doi: https://doi.org/10.1016/j.nlp.2025.100190
• Accepted a paper titled ‘Towards Annotation-Efficient Kidney CT Scan Classification: Supervised and Semi-Supervised Swin Transformer Frameworks’
• Accepted a paper titled ‘CodeMixEcom-Emotion: A Large-Scale Bangla-English Review Corpus and Transformer-Based Benchmark for Fine-Grained Emotion Detection’
• Aritra Das, Mohammad Rifat Ahmmad Rashid, Md. Rakibul Hasan, Karib Shams, Raihan Ul Islam, BDFlower: Growth Stage Flower Image Dataset for Precision Agriculture and Floriculture, Data in Brief, 2026, 112745, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2026.112745
• S. Hossen, A. Das, M. R. Hasan and M. R. Huq, "Fast, Fault-Tolerant, and Affordable: A Modern Data Lakehouse ETL Pipeline for Emerging Economies," 2025 28th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2025, pp. 3440-3445, doi: 10.1109/ICCIT68739.2025.11491349
Google Scholar Profile: https://scholar.google.com/citations?hl=en&user=LfxLoyYAAAAJ