Bangladesh Open University (BOU)

Samrat Kumar Dey
Lecturer
Computer Science, SST

Profile of Samrat Kumar Dey

Samrat Kumar Dey (সম্রাট কুমার দে)

Lecturer (Computer Science), School of Science and Technology (SST)

Bangladesh Open University, Gazipur-1705, Bangladesh.

Web: https://samratdey.me

Contact: Phone: 09666730730 Ex. 247 (Office)

Mobile: 01823267937 (Personal)

E-mail: samrat.sst@bou.ac.bd, samrat.sst.bou@gmail.com

Degree Title	Institute	Passing Year
M.Sc. in Computer Science and Engineering	Military Institute of Science and Technology (MIST), Bangladesh University of Professionals (BUP)	2019
B.Sc. (Engg.) in Computer Science and Engineering	Patuakhali Science and Technology University (PSTU)	2015

[1] Dey, S. K., Rahman, M. M., Siddiqi, U. R., Howlader, A., Tushar, M. A., & Qazi, A. (2022). Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis. Human vaccines & immunotherapeutics, 18(1), 2025009.

[2] Dey, S. K., Rahman, M. M., Howlader, A., Siddiqi, U. R., Uddin, K. M. M., Borhan, R., & Rahman, E. U. (2022). Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach. PLoS One, 17(7), e0270933.

[3] Dey, S. K., Uddin, K. M. M., Babu, H. M. H., Rahman, M. M., Howlader, A., & Uddin, K. A. (2022). Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease. Intelligent Systems with Applications, 16, 200144.

[4] Sultana, A., Dey, S. K., & Rahman, M. A. (2023). Facial emotion recognition based on deep transfer learning approach. Multimedia Tools and Applications, 1-15.

[5] Mohi Uddin, K. M., Biswas, N., Rikta, S. T., Dey, S. K., & Qazi, A. (2023). XML‐LightGBMDroid: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis. Engineering Reports, e12666.

[6] Uddin, K. M. M., Ripa, R., Yeasmin, N., Biswas, N., & Dey, S. K. (2023). Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset. Intelligence-Based Medicine, 7, 100100.

[7] Rikta, S. T., Uddin, K. M. M., Biswas, N., Mostafiz, R., Sharmin, F., & Dey, S. K. (2023). XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer. Journal of Pathology Informatics, 14, 100307.

[8] Qazi, A., Hasan, N., Owusu-Ansah, C. M., Hardaker, G., Dey, S. K., & Haruna, K. (2023). SentiTAM: Sentiments centered integrated framework for mobile learning adaptability in higher education. Heliyon, 9(1).

[9] Dey, S. K., Rahman, M. M., Shibly, K. H., Siddiqi, U. R., & Howlader, A. (2023). Epidemic trend analysis of SARS‐CoV‐2 in South Asian Association for Regional Cooperation countries using modified susceptible‐infected‐recovered predictive model. Engineering Reports, 5(1), e12550.

[10]Uddin, K. M. M., Dey, S. K., Babu, H. M. H., Mostafiz, R., Uddin, S., Shoombuatong, W., & Moni, M. A. (2022). Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images. Scientific Reports, 12(1), 21796.

[11]Biswas, N., Uddin, K. M. M., Rikta, S. T., & Dey, S. K. (2022). A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach. Healthcare Analytics, 2, 100116.

[12]Rahman, M. M., Kundu, D., Suha, S. A., Siddiqi, U. R., & Dey, S. K. (2022). Hospital patients’ length of stay prediction: A federated learning approach. Journal of King Saud University-Computer and Information Sciences, 34(10), 7874-7884.

[13]Dey, S. K., Mehrin, K., Akter, L., & Akter, M. (2022). Use of Digital Technologies in Public Health Responses to Tackle Covid-19: the Bangladesh Perspective. arXiv preprint arXiv:2203.05303.

Conference Publications

[1] Jannat, H. E., Rahman, M. M., Dey, S. K., & Islam, A. M. (2022, December). Mutual Information on Low-rank Matrix for Effective Intrusion Detection. In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-5). IEEE.

[2] Arif, M. A. I., Kabir, S., Khan, M. F. H., Dey, S. K., & Rahman, M. M. (2022, December). Machine Learning and Deep Learning Based Network Slicing Models for 5G Network. In 2022 25th International Conference on Computer and Information Technology (ICCIT) (pp. 96-101). IEEE.

[3] Qazi, A., Qazi, J., Naseer, K., Zeeshan, M., Khan, B., & Dey, S. K. (2022, November). Sentiment analysis of nationwide lockdown amid COVID 19: evidence from Pakistan. In 2022 IEEE 7th International Conference on Information Technology and Digital Applications (ICITDA) (pp. 1-4). IEEE.

[4] Zaman, S. B., Tasnim, N., Jahan, N., Rahman, M. M., & Dey, S. K. (2022, October). An Ensemble Machine Learning Approach for Detecting Fraudulent Banking Transactions. In Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021 (pp. 331-343). Singapore: Springer Nature Singapore.

[5] Kabir, M. H., Rajib, M. S., Rahman, A. S. M. T., Rahman, M. M., & Dey, S. K. (2022, February). Network Intrusion Detection Using UNSW-NB15 Dataset: Stacking Machine Learning Based Approach. In 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) (pp. 1-6). IEEE.

[6] Rahman, M. M., Aktar, R., & Dey, S. K. (2022, February). Design and Implementation of a Low-Cost Automated Medicine Dispenser. In 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) (pp. 1-6). IEEE.

E-learning, Human-Computer Interaction, Machine Learning, Data Analytics, Health Informatics

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