M.Sc. in Software Engineering (Ongoing)
Major in Data Science
Daffodil International University, Savar, Dhaka 

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

1. Induction Training for Newly Recruited Faculty Members: Spring-2026
   HRDI, Daffodil International University, Duration: 6 Days, 2026
2. Training on Research Methodology
   HRDI, Daffodil International University, 2026
3. Training on Learner-Centric Classroom Design
   HRDI, Daffodil International University, 2026
4. Monthly Teacher Training Session: Teacher as Psychologists
   HRDI, Daffodil International University, 2026
5. Monthly Teacher Training Session: Teacher as a Proctor
   HRDI, Daffodil International University, 2026
6. IP/Patent/Copyright
   Department of SWE, Daffodil International University, 2026
7. Exclusive AI-Native Product Engineering ToT Session
   Micro-Credentials Academy, 2026

• Data Structures and Algorithms
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Science
• Statistical Data Analysis
• Computer Vision
• Natural Language Processing
• Research Methodology

Journal Papers:      

1. Sagor, S., Faruk Ahmed, Rahman, M. A., et al. (2026). “LXViT: A hybrid hierarchical CNN-ViT framework for lemon leaf disease classification with multi-method explainable AI integration”. Scientific Reports.
2. Ahmmed, J., Faruk Ahmed, Kabir, M. A., Ahad, M. T., Jadoon, M. A., Rehman, A. U., & Bermak, A. (2026). “LBNet: An optimized lightweight CNN for mammographic breast cancer classification with XAI-based interpretability”. Scientific Reports, 16.
3. Ahmmed, J., Faruk Ahmed, Rehman, A. U., Ali, N., Kabir, M. A., & Bermak, A. (2026). “HPrEd: A tuned ensemble with model-agnostic XAI to explain social media’s association with academic productivity.” IEEE Access.
4. Ahad, M. T., Faruk Ahmed, Bhowmik, A. C., Mim, Z. M., Anu, A. D., & Busch, P. (2025). “Exploring micro-credential affordances in Bangladeshi higher education.” Education and Information Technologies, 1–33.
5. Islam, R., Ahad, M. T., Faruk Ahmed, Song, B., & Li, Y. (2024). “Mental health diagnosis from voice data using convolutional neural networks and vision transformers.” Journal of Voice.
6. Bhowmik, A. C., Ahad, M. T., Emon, Y. R., Faruk Ahmed, Song, B., & Li, Y. (2024). “A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease.” Smart Agricultural Technology, 8, 100500.
7. Hossain, S., Sagor, S., Faruk Ahmed, et al. “An Explainable and Edge-Optimized Hybrid CNN-Transformer Framework for Lychee and Jackfruit Leaf Disease Diagnosis.” Accepted for publication in Scientific Reports.

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) (pp. 1–8). IEEE.
4. Faruk Ahmed, Saifuddin Sagor, Dewan Mamun Raza, and Md Masum Billah (2025). DMX: A Weighted Softmax Fusion of Heterogeneous CNNs for Burmese Leaf Disease Classification. In 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE, pp. 1654–1659.
5. 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).
6. 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).
7. Faruk Ahmed, Sagor, S., Hossan, M. F., Faruk, A. B., Reyad, M. Z. I., and Das, I. (2025). GViT: A Customized Vision Transformer Model for Guava Leaf Disease Detection. In 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025).
8. 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).
9. Ahmmed, J., Faruk Ahmed, Kabir, M. A., Uddin, A. Z. M. J., and Bhuiyan, T. (2025). RVE: An Optimized Ensemble Model for Breast Cancer Detection. In 5th International Conference on Trends in Electronics and Health Informatics (TEHI 2025).
10. Ahmed, M. J., Nuhash, M. N. I., Faruk Ahmed, et al., (2025). Deep Learning Approaches for Citrus Leaf Disease Classification: A Comparative Study Using CNN Models. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 2217–2222). IEEE.
11. Hossain, S., Sagor, S., Faruk Ahmed, et al., (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).
12. Islam, S. S., Sharif, S., Roy, A., and Faruk Ahmed (2026). Layerwise Sparsity Allocation in Convolutional Neural Networks via a Linear-Chain CRF Energy Model. Accepted at the International Conference on Computing Advancements (ICCA 2026).
13. Antu, A. B., Paul, A., Rahman, S., Faruk Ahmed, and Arman, M. S. (2026). Adaptive Stacking Fusion of Structured and Character-Level Deep Learning Models for Robust Phishing URL Detection. Accepted at the International Conference on Computing Advancements (ICCA 2026).
14. Rydi, R. A., Risha, R. T., Munna, M. A., Arman, M. A., Ahmed, F., and Faruk Ahmed (2026). HantaXAI: Multi-Source Explainable Spatiotemporal XGBoost for Early Forecasting of Hantavirus Outbreaks. Accepted at the International Conference on Computing Advancements (ICCA 2026).

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
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.

Computer Vision, Deep Learning, Machine Learning, Explainable Artificial Intelligence (XAI), Natural Language Processing, Generative AI, Medical Image Analysis, Agricultural AI, Predictive Analytics, and Lightweight AI Models for Edge and Mobile Computing.

1. Received the Award of Merit at the International Emerging Technology Olympiad (ETO) 2025, Hong Kong.
2. Received the Award of Distinction at the International Data Science Olympiad (IDSOL) Final 2025, Hong Kong.
3. Achieved Second Runner-up in the VisionX Project Category at the University of Dhaka, 2025.
4. Received Honorable Mention in the AI Category at the Bangladesh Blockchain Olympiad 2025, Dhaka, Bangladesh.
5. Achieved Finalist status in the Bangladesh Blockchain Olympiad 2025, Dhaka, Bangladesh.
6. Achieved Finalist status in the AI Category at the Blockchain Olympiad Bangladesh 2024.
7. Became Champion in the Crack Dataset Contest 2024, organized by the DIU NLP Lab, Daffodil International University, Dhaka, Bangladesh.
8. Received the Hall Hero (5-Star) Award 2025 from Yunus Khan Scholar’s Garden for overall excellence.
9. Won the Green Earth Quest Quiz Online Round, organized by the World Bank (2024).
10. Secured 13th position in Data Visionary, National Data Analytics Competition (NDAC-2025), organized by Daffodil International University and powered by Bangladesh Railway and Shohoz–Synesis–Vincen JV.
11. Secured 6th position in the Datathon Contest 2024, organized by DIU CPC, Daffodil International University, Dhaka, Bangladesh.
12. Received a Certificate of Participation in the Game of Datathon at the 3rd KUET CSE National Fest (Bitfest-2025).

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