• M.Sc. in Software Engineering, Daffodil International University, Bangladesh
• B.Sc. in Software Engineering, Daffodil International University, Bangladesh

• Erasmus+ Faculty Exchange Programme, Mälardalens University, Sweden
• HARMONY Programme (Higher Education Internationalization), The University of Da Nang, Vietnam
• Participatory Engaging Teaching Techniques, Daffodil International University
• Teaching Apprentice Program, Daffodil International University
• Training on Android Apps Development, Ministry of ICT
• Training on Embedded System, Daffodil International University

• Data Science
• Machine Learning
• Deep Learning
• Artificial Intelligence
• Capstone Project
• Software Engineering
• Data Structures & Algorithms
• Web Programming

Journals

1. Akter, L., Arman, M. S., Chowdhury, S. H., & Mohsin, S. M. (2026). FieldMaizeLeaf-8: A real-field early vegetative maize leaf stress image dataset from Bangladesh. Data in Brief, 113337. DOI: 10.1016/j.dib.2026.113337
2. Chowdhury, S. H., Arman, M. S., Siam, M. B. H., Khan, M. R., Hasan, A., & Fahim, P. A. M. (2026). A curated dataset and lightweight deep-learning framework for tea-leaf disease classification. PLOS ONE, 21(5), e0349210.
3. Siam, M. B. H., Khan, M. R., Elahe, M. F., Arman, M. S., & Akter, S. (2026). Effects of similarity networks in graph-based multi-omics classification. PLOS ONE, 21(3), e0344754.
4. Islam, F., Arman, M. S., Ong, B. L., Jahan, H., Ahmad, R. B., Yaakob, N., Kahar, N. F., & Hassan, M. M. (2026). Parking slot detection and vacancy check based on deep learning method. Journal of Advanced Research in Applied Sciences and Engineering Technology, 62(1), 49–66.
5. Ahmed, M. S., Arman, M. S., Tasnim, N., Imran, M. H., Sammak, M. H., & Bhuiyan, T. (2025). Rooftop detection with YOLOv8 from aerial imagery and rooftop photovoltaic potential assessment. IAES International Journal of Artificial Intelligence (IJ-AI), 14(3), 2282–2290.
6. Chowdhury, H., Arman, M. S., Jahan, H., Rahman, S., Yaakob, N., Hassan, M. M., Ahmad, R. B., Ong, B. L., & Kahar, N. F. (2024). Symptom-based medicine recommendations used in natural language processing. Journal of Advanced Research in Applied Sciences and Engineering Technology, 62(1), 18–31.
7. Bitto, A. K., Bijoy, M. H. I., Arman, M. S., Mahmud, I., Das, A., & Majumder, J. (2023). Sentiment analysis from Bangladeshi food delivery startup based on user reviews using machine learning and deep learning. Bulletin of Electrical Engineering and Informatics, 12(4), 2282–2291.
8. Bitto, A. K., Mahmud, I., Bijoy, M. H. I., Jannat, F. T., Arman, M. S., Shohug, M. M. H., & Jahan, H. (2022). CryptoAR: Scrutinizing the trend and market of cryptocurrency using machine learning approach on time series data. Indonesian Journal of Electrical Engineering and Computer Science, 28(3), 1684–1696.
9. Arman, M. S., Sarker, K., Shakir, A. K., Hossain, S. F., & Hasan, A. (2022). Medicine prediction based on doctor’s degree: A data-mining approach. Indonesian Journal of Electrical Engineering and Computer Science, 26(2), 1125–1134.
10. Arman, M. S., Akter, R., Mahmud, I., & Ramayah, T. (2020). Modelling turn away intention of information technology professionals in Bangladesh: A partial least squares approach. International Journal of Electrical and Computer Engineering (IJECE), 10(5), 4973–4981. DOI: 10.11591/ijece.v10i5.pp4973-4981
11. Qaiduzzaman, K. M., Shahjahan, M., Sobhan, S., Arman, M. S., & Taj, M. B. (2018). An effective attendance monitoring system with fraud prevention technique for educational institutions. International Journal of Engineering & Technology, 7(3), 1593–1598.

Conferences

12. Arman, M. S., Asaduzzaman, M., & Bhuiyan, T. (2025). Efficient deepfake video detection using ResNeXt CNN and temporal LSTM networks. In 2025 International Conference on Sustainable Technology and Engineering (i-COSTE) (pp. 1–6). IEEE.
13. Sarwar, M. N., Arman, M. S., Bhuiyan, T., & Rafiq, F. B. (2025). Optimizing intrusion detection with hybrid deep learning models and data balancing techniques. In 2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC) (pp. 1–6). IEEE.
14. Bitto, A. K., Arman, M. S., Saha, R. M., Jahan, H., Mahmud, I., & Das, A. (2024). Customer sentiments towards delivery services in Bangladesh: A machine learning-based sentiment analysis. In 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) (pp. 1–5). IEEE.
15. Ahamed Fahim, R., Arman, M. S., Sultana, I., Tasnim, N., Rifat Ahmed, K., & Mahmud, I. (2024). PhishGuard: Leveraging NLP and machine learning for email phishing detection. In DABCon 2024.
16. Rooman, M. H., Bose, U., Hasan, M. R., Arman, M. S., & Paul, B. K. (2023). Identification of drugs and association of genes with diseases among anxiety, bipolar disorder, heart disease and stress: A computational biology approach. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1–6). IEEE.
17. Jahan, H., Arman, M. S., Hasan, A., & Bristy, S. N. (2023). A machine learning-based approach for sentiment analysis of movie reviews on a Bangladeshi OTT platform. In International Conference on Intelligent Computing & Optimization (ICO) (pp. 339–349). Springer Nature Switzerland.
18. Arman, M. S., Alam, M. R., Jahan, H., Islam, L., Sammak, M. H., & Biplob, K. B. M. B. (2022). A data mining approach to finding face mask from Bangladeshi news channel. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–7). IEEE.
19. Islam, M., Arman, M. S., Siddik, M. A. B., Sonia, S. A., Reesha, A. R., & Islam, F. (2022). Mental stress analysis of Bangladeshi job holders during COVID-19 pandemic: A machine learning approach. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–6). IEEE.
20. Sammak, M. H., Arman, M. S., Jahan, H., Mahmud, I., Alam, M. R., & Biplob, K. B. M. B. (2022). Classifying cardiovascular disease using gradient boosting method: Risk factor analysis using Shapley additive explanations. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–5). IEEE.
21. Islam, F., Arman, M. S., Jahan, N., Sammak, M. H., Tasnim, N., & Mahmud, I. (2022). Model and popularity based recommendation system: A collaborative filtering approach. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–5). IEEE.
22. Jahan, H., Bitto, A. K., Arman, M. S., Mahmud, I., Hossain, S. F., Saha, R. M., & Shohug, M. M. H. (2022). Sentiment analysis of e-commerce consumer based on product delivery time using machine learning. In Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2021 (pp. 649–661). Springer.
23. Hossain, E., Arman, M. S., Hossain, S. S., Hasan, A., Jahan, M. R., & Hossen, A. (2022). Human praying structure classification with transfer learning. In Proceedings of the Sixth International Congress on Information and Communication Technology (ICICT 2021), London, Vol. 4 (pp. 207–218). Springer.
24. Siddik, M. A. B., Arman, M. S., Hasan, A., Jahan, M. R., Islam, M., & Biplob, K. B. M. B. (2021). Predicting the death of road accidents in Bangladesh using machine learning algorithms. In Advances in Computing and Data Sciences: 5th International Conference (ICACDS 2021), Part II, CCIS Vol. 1441 (pp. 160–171). Springer.
25. Musa, M., Arman, M. S., Hossain, M. E., Thusar, A. H., Nisat, N. K., & Islam, A. (2021). Classification of immunity booster medicinal plants using CNN: A deep learning approach. In Advances in Computing and Data Sciences: 5th International Conference (ICACDS 2021), Part I (pp. 244–254). Springer.
26. Hossen, M. A., Alamgir, R. B., Alam, A. U., Siddika, F., Hossain, S. F., & Arman, M. S. (2021). A web based four-tier architecture using reduced feature based neural network approach for prediction of student performance. In 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 269–273). IEEE.
27. Arman, M. S., Hasan, M. M., Sadia, F., Shakir, A. K., Sarker, K., & Himu, F. A. (2020). Detection and classification of road damage using R-CNN and Faster R-CNN: A deep learning approach. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), Vol. 325 (pp. 730–741). Springer.
28. Haque, S., Rahman, T., Shakir, A. K., Arman, M. S., Biplob, K. B. M. B., Himu, F. A., Das, D., & Islam, M. S. (2020). Aspect-based sentiment analysis on a Bangla dataset via aspect-term extraction. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), Vol. 325 (pp. 403–413). Springer.
29. Hossain, M. E., Bhuiyan, T., Mahmud, I., & Arman, M. S. (2018). Modelling the knowledge-sharing behaviour of students on Facebook. In ICEL 2018: 13th International Conference on e-Learning (p. 84). Academic Conferences and Publishing Limited.

Book Chapter

30. Siddikk, A. B., Lia, R. J., Muntasir, M. F., Rahman, S. S. M. M., Arman, M. S., & Jahan, M. R. (2022). FakeTouch: A machine learning based framework for detecting fake news. In Big Data Intelligence for Smart Applications, Studies in Computational Intelligence, Vol. 994 (pp. 317–334). Springer.

Preprint

31. Arman, M. S., & Molybog, I. (2026). Compact documentation for coding agents: A benchmark, an optimizer, and why it does not transfer. arXiv preprint arXiv:2609.31587.
32. Sarker, K., Rahman, H., Rahman, K. F., Arman, M. S., Biswas, S., & Bhuiyan, T. (2019). A comparative analysis of the cyber security strategy of Bangladesh. arXiv preprint arXiv:1905.00299.

• Large Language Models (LLMs) & Agentic Systems
• AI Evaluation & Benchmarking
• Trustworthy & Explainable AI (XAI)
• Computer Vision
• Natural Language Processing
• AI Security

• Chairman’s Gold Medal—highest academic performance, M.Sc. in Software Engineering, Daffodil International University (2020)
• Best Paper Award — 2nd International Conference on Cyber Security (ICONCS 2020)
• Best Performing Faculty Member Award—Academic Year 2021, Daffodil International University
• Academic Result Scholarship — B.Sc. in Software Engineering, Daffodil International University