B.Sc. in Computer Science & Engineering
Daffodil International University, Savar, Dhaka, 2025
CGPA: 3.96/4.00 (1st in batch)

• Data Structure
• Machine Learning
• Artificial Intelligence
• Data Science

Journal Papers:

1. Ahad, M. T., Faruk Ahmed, Bhowmik, A. C., Mim, Z. M., Anu, A. D., and Busch, P. (2025). “Exploring micro-credential affordances in Bangladeshi higher education”. Education and Information Technologies, 1–33
2. Bhowmik, A. C., Ahad, M. T., Emon, Y. R., Faruk Ahmed, Song, B., and Li, Y. (2024). “A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease”. Smart Agricultural Technology, 8, 100500.
3. Islam, R., Ahad, M. T., Faruk Ahmed, Song, B., and Li, Y. (2024). “Mental Health Diagnosis from Voice Data Using Convolutional Neural Networks and Vision Transformers”. Journal of Voice.
   
   

Conference Papers:

1. Faruk Ahmed, Emon, Y. R., Ahad, M. T., Munna, M. H., and Mamun, S. B. (2023). A fuzzy-based vision transformer model for tea leaf disease detection. In International Conference on Trends in Computational and Cognitive Engineering. Springer Nature Singapore.
2. Faruk Ahmed, Ahmed, F., Mubin, A. S., Rahman, H., and Ayon, R. (2024). Drug Addiction Analysis in Bangladesh Using Machine Learning. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–7). IEEE.
3. Faruk Ahmed, Hasan, M. K., and Alvi, S. T. (2025). A Comprehensive Review of Machine Learning-Based Approaches for Malware Detection. In 2025 5th International Conference on Emerging Smart Technologies and Applications (eSmarTA). IEEE. DOI: 10.1109/eSmarTA66764.2025.11132133.
4. Faruk Ahmed, Hasan, M., Hossain, S., Ahmed, F., Hasan, M. K., and Ahmmed, J. (2025). DRX Ensemble: An Optimized Rank-Based Deep CNN Model for Java Plum Leaf Disease Classification. In 2025 16th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE.
5. Faruk Ahmed, Sagor, S., Ahamed Neloy, M. H., Hossain Asif, M. A., Islam Reyad, M. Z., and Hossan, M. F. (2025). A Computationally Optimized Fine-Tuning Approach for CNN-Based Lung Cancer Detection. In 2025 16th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE.
6. Hossain, S., Faruk Ahmed, Sagor, S., Rahman Antor, M. R., Rahman, M. A., and Hossan, M. F. (2025). MXD: A Weighted Soft Voting Ensemble of Fine-Tuned CNNs for Blood Cancer Detection from Microscopic Images. In 2025 16th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE.
7. Hossain, S., Sagor, S., Faruk Ahmed, Sadik Abid, M. A., Ahmed, F., and Das, I. (2025). Enhancing Sunflower Growth Stage Detection Using Transfer Learning: Effects of Background Elimination on CNN Performance. In 2025 16th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE.

Book Chapters:

Preprints:

1. Faruk Ahmed, Ahad, M. T., and Emon, Y. R. (2023). Machine learning-based tea leaf disease detection: A comprehensive review. arXiv preprint arXiv:2311.03240.
2. Ahad, M. T., Mustofa, S., Faruk Ahmed, Emon, Y. R., and Anu, A. D. (2024). A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection. arXiv preprint arXiv:2409.06699.
3. Ahad, M. T., Faruk Ahmed, Song, B., and Li, Y. (2024). Enhancing Tea Leaf Disease Detection Through Customised Vision Transformer and Hyperparameters Optimisation. Available at SSRN 4940688.
4. Sagor, S., Ahad, M. T., Faruk Ahmed, Ayon, R., and Parvin, S. (2025). A study on Deep Convolutional Neural Networks, transfer learning, and Mnet model for Cervical Cancer Detection. arXiv preprint arXiv:2509.16250.
5. Emon, Y. R., Rabbani, M. G., Ahad, M. T., and Faruk Ahmed. (2023). A Comprehensive Literature Review on Sweet Orange Leaf Diseases. arXiv preprint arXiv:2312.01756.
   
   

Academic Service and Peer Review

• Reviewer, PLOS ONE (SCI Journal)
• Reviewer, Biomedical Signal Processing and Control (Elsevier, Q1 Journal)
• Reviewer, npj Heritage Science (Nature Portfolio, Q1 Journal)
• Reviewer, Data in Brief (Elsevier Journal)

Computer Vision, Deep Learning, Artificial Intelligence, Generative Models, Machine Learning, Agricultural Technology, Healthcare Technology, Mobile Computing, Educational Technology, IoT

• Represented Bangladesh as a Participant in the International Data Science Olympiad (IDSOL) 2025, held in Hong Kong.
• Finalist and Honorable Mention in the Bangladesh Blockchain Olympiad 2025, Dhaka, Bangladesh.
• Finalist (AI Category) in the Blockchain Olympiad Bangladesh 2024.
• Online Round Winner at the Green Earth Quest Quiz organized by the World Bank (2024).
• Champion at the Crack Dataset Contest 2024 organized by the DIU NLP Lab, Daffodil International University, Dhaka, Bangladesh.
• Secured 13th Position at the Data Visionary, National Data Analytics Competition (NDAC-2025) organized by Daffodil International University, powered by Bangladesh Railway and Shohoz–Synesis–Vincen JV.
• Achieved 6th Position at the Datathon Contest 2024 organized by DIU CPC, Daffodil International University, Dhaka, Bangladesh.
• Received a Certificate of Participation in the Game of Datathon at the 3rd KUET CSE National Fest (Bitfest-2025).
• Honored with the Hall Hero (5-Star) Award 2025 from Yunus Khan Scholar’s Garden for overall excellence.

Graduate Researcher [Part-time] (15th January 2024-14th January 2025)
4IR Research Cell
Daffodil International University  
Daffodil Smart City, Birulia, Savar, Dhaka-1216