B.Sc. in Software Engineering, Daffodil International University, Dhaka, Bangladesh
Journals:
1. Islam, F., Arman, M. S., Ong, B. L., Jahan, H., Ahmad, R. B., Yaakob, N., ... & Hassan, M. M. (2024). Parking Slot Detection and Vacancy Check Based on Deep Learning Method. Journal of Advanced Research in Applied Sciences and Engineering Technology, 49-66.
2.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.
3.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.
4. Islam, F., Arman, M. S., Jahan, N., Sammak, M. H., Tasnim, N., & Mahmud, I. (2022, October). 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.
5.Islam, F., Arman, M. S., Jahan, N., Sammak, M. H., Tasnim, N., & Mahmud, I. (2022, October). 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.
6.Islam, M., Arman, M. S., Siddik, M. A. B., Sonia, S. A., Reesha, A. R., & Islam, F. (2022, October). 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.
7.Arman, M. S., Alam, M. R., Jahan, H., Islam, L., Sammak, M. H., & Biplob, K. B. M. B. (2022, October). 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.
8.Jahan, H., Kowshir Bitto, A., Shohel Arman, M., Mahmud, I., Fahad Hossain, S., Moni Saha, R., & 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). Singapore: Springer Nature Singapore.
9. Md Shohel Arman, Rozina Akter, Imran Mahmud, and T. Ramayah. "Modelling turn away intention of information technology professionals in Bangladesh: a partial least squares approach." International Journal of Electrical and Computer Engineering 10, no. 5 (2020): 4973. DOI: 10.11591/ijece.v10i5.pp4973-4981. (Scopus Indexed)
10. Sarker, Kaushik, Hasibur Rahman, Khandaker Farzana Rahman, Md Shohel Arman, Saikat Biswas, and Touhid Bhuiyan. "A Comparative Analysis of the Cyber Security Strategy of Bangladesh." arXiv preprint arXiv:1905.00299 (2019).
11. Qaiduzzaman, Khandker M., Mohammad Shahjahan, Sadman Sobhan, Md Shohel Arman, and Manan Binth Taj. "An Effective Attendance Monitoring System with Fraud Prevention Technique for Educational Institutions." International Journal of Engineering & Technology 7, no. 3 (2018): 1593-1598.
Conference:
1. Sarwar, M. N., Arman, M. S., Bhuiyan, T., & Rafiq, F. B. (2025, February). 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.
2.Bitto, A. K., Arman, M. S., Saha, R. M., Jahan, H., Mahmud, I., & Das, A. (2024, March). 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.
4.Rooman, M. H., Bose, U., Hasan, M. R., Arman, M. S., & Paul, B. K. (2023, December). 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.
6.Jahan, H., Arman, M. S., Hasan, A., & Bristy, S. N. (2023, April). A Machine Learning-Based Approach for Sentiment Analysis of Movie Reviews on a Bangladeshi OTT Platform. In International Conference on Intelligent Computing & Optimization (pp. 339-349). Cham: Springer Nature Switzerland.
8.Sammak, M. H., Arman, M. S., Jahan, H., Mahmud, I., Alam, M. R., & Biplob, K. B. M. B. (2022, October). Classifying cardiovascular disease using gradient boosting method risk factor analysis using shapely additive explanations. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.
14.Siddikk, A. B., Lia, R. J., Muntasir, M. F., Rahman, S. S. M. M., Arman, M. S., & Jahan, M. R. (2022). FakeTouch: machine learning based framework for detecting fake news. In Big Data Intelligence for Smart Applications (pp. 317-334). Cham: Springer International Publishing.
15.Hossain, E., Arman, S., Hossain, S. S., Hasan, A., Jahan, M. R., & Hossen, A. (2022). Human Praying Structure Classifıcation with Transfer Learning. In Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 4 (pp. 207-218). Springer Singapore.
16.Hossen, M. A., Alamgir, R. B., Alam, A. U., Siddika, F., Hossain, S. F., & Arman, M. S. (2021, January). 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.
17.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, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part I 5 (pp. 244-254). Springer International Publishing.
18.Siddik, M. A. B., Arman, M. S., Hasan, A., Jahan, M. R., Islam, M., & Biplob, K. B. 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, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part II 5 (pp. 160-171). Springer International Publishing.
Research Associate | Daffodil International University | January 2017 — August 2017 |
Teaching Apprentice | Daffodil International University | November 2017 – December 2017 |
Technical Writer | Information Entertainment & Communication Ltd | November 2015- October 2016 |