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Md. Alamgir Hossain

alamgir.cse@sub.edu.bd

Lecturer

MSc in ICT, IICT, BUET; BSc in CSE, JUST

Md. Alamgir Hossain works as a Lecturer in the Department of Computer Science and Engineering at the State University of Bangladesh Bangladesh. His MSc in Information and Communication Technology (ICT) at the Institute of Information and Communication Technology (IICT), Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh. He earned his BSc in Computer Science and Engineering (CSE) from Jashore University of Science and Technology (JUST), Jashore, Bangladesh. He has published numerous research papers in international peer-reviewed journals and has presented many papers at various international conferences. He regularly writes for different newspapers and magazines. Additionally, he serves as a reviewer for several prestigious journals, including those from Wiley, Elsevier, Springer, and Taylor & Francis publishers. His research interests are centered on cybersecurity, machine learning, deep learning, federated learning, network security, cloud computing, etc. Google Scholar: https://scholar.google.com/citations?user=P-_d2XsAAAAJ&hl=en ; Blog: https://alamgirhossainjust.blogspot.com/

Journal Articles:

  1. Md. Alamgir Hossain, Sadman Saif and Md. Saiful Islam, “A novel federated learning approach for IoT botnet intrusion detection using SHAP-based knowledge distillation,” Complex & Intelligent Systems (Scopus Indexed (Q1)), Aug. 2025, doi: 10.1007/s40747-025-02001-9.
  2. Md. Alamgir Hossain, and Md. Samiul Islam, “Towards Decentralized Cybersecurity: A Novel Privacy-Preserving Federated Learning Approach for Botnet Attack Detection,” Blockchain: Research and Applications (Scopus Indexed (Q1)), Aug. 2025, doi: 10.1016/j.bcra.2025.100355.
  3. Md. Alamgir Hossain, “FED-GEM-CN: A federated dual-CNN architecture with contrastive cross-attention for maritime radar intrusion detection,” Array (Scopus Indexed (Q1)), vol. 27, p. 100456, Sep. 2025, doi: 10.1016/j.array.2025.100456.
  4. Md. Alamgir Hossain, Md. Delwar Hossain, Latifur Khan, Hideya Ochiai, Md. Saiful Islam and Youki Kadobayashi, “Toward Secure Marine Navigation: A Deep Learning Framework for Radar Network Attack Detection, in Maritime Cybersecurity,” Signals and Communication Technology (Scopus Indexed (Q4)), Jun. 2025, pp. 195–215, doi: 10.1007/978-3-031-87290-7_11.
  5. Md. Alamgir Hossain, “Deep Q-Learning Intrusion Detection System (DQ-IDS): A Novel Reinforcement Learning Approach for Adaptive and Self-Learning Cybersecurity,” ICT Express (Scopus Indexed (Q1)), Jun. 2025, doi: 10.1016/j.icte.2025.05.007. 
  6. Md. Alamgir Hossain, “Deep Learning-Based Intrusion Detection for IoT Networks: A Scalable and Efficient Approach,” EURASIP Journal on Information Security (Scopus Indexed (Q2)), pp. 1-17, May 2025, doi: 10.1186/s13635-025-00202-w. 
  7. Md. Alamgir Hossain, Md Delwar Hossain, Roya Choupani and Erdoǧan Doǧdu, “MRS-PFIDS: federated learning driven detection of network intrusions in maritime radar systems,” International Journal of Information Security (Scopus Indexed (Q2)), vol. 24, no. 2, pp. 1-19, Apr. 2025, doi: 10.1007/s10207-025-01008-0.
  8. Md. Alamgir Hossain and Md. Saiful Islam, “A novel feature selection-driven ensemble learning approach for accurate botnet attack detection,” Alexandria Engineering Journal (Scopus Indexed (Q1)), vol. 118, pp. 261–277, Apr. 2025, doi: 10.1016/j.aej.2025.01.042.
  9. Md. Alamgir Hossain et al., “A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems,” Human-centric Computing and Information Sciences (HCIS) (Scopus Indexed (Q2)), Accepted for Publication. 
  10. Md. Alamgir Hossain, Tahmid Hasan, Vincent Karovic, jr., Hikmat A. M. Abdeljaber, Md. Alimul Haque, Sultan Ahmad, Aasim Zafar, Jabeen Nazeer and B. K. Mishra, “Deep learning and ensemble methods for anomaly detection in ICS security,” International Journal of Information Technology (Scopus Indexed (Q2)), vol. 16, no. 8, pp. 1-15, Dec. 2024, doi: 10.1007/s41870-024-02299-7.
  11. Md. Sharafat Hossain, Md. Alamgir Hossain and Md. Saiful Islam, “I-MPaFS: enhancing EDoS attack detection in cloud computing through a data-driven approach,” Journal of Cloud Computing (Scopus Indexed (Q1)), vol. 13, no. 1, p. 151, Oct. 2024, doi: 10.1186/s13677-024-00699-5.
  12. Md. Alamgir Hossain, Tahmid Hasan, Fahad Ahmed, Sheikh Hasib Cheragee, Muntasir Hasan Kanchan, and Md Alimul Haque, “Towards Superior Android Ransomware Detection: An Ensemble Machine Learning Perspective,” Cyber Security and Applications (Scopus Indexed (Q1)), p. 100076, Oct. 2024, doi: 10.1016/j.csa.2024.100076.
  13. M. A. Haque and Md. Alamgir Hossain et al., “Internet of things enabled E-learning system for academic achievement among university students,” E-Learning and Digital Media (Scopus Indexed (Q1)), Sep. 2024, doi: 10.1177/20427530241280078.
  14. Md. Alamgir Hossain, Md Alimul Haque, Sultan Ahmad, Hikmat A. M. Abdeljaber, A. E. M. Eljialy, Abed Alanazi, Deepa Sonal, Kiran Chaudhary and Jabeen Nazeer, “AI-enabled approach for enhancing obfuscated malware detection: a hybrid ensemble learning with combined feature selection techniques,” International Journal of Systems Assurance Engineering and Management (Scopus Indexed (Q2)), Mar. 2024, doi: 10.1007/s13198-024-02294-y.
  15. Md. Alamgir Hossain and Md. Saiful Islam, “Enhancing DDoS attack detection with hybrid feature selection and ensemble-based classifier: A promising solution for robust cybersecurity,” Measurement: Sensors (Scopus Indexed (Q2)), vol. 32, pp. 1-12, Apr. 2024, doi: 10.1016/j.measen.2024.101037.
  16. M. Alimul Haque and Md. Alamgir Hossain et al., “Implication of Different Data Split Ratios on the Performance of Models in Price Prediction of Used Vehicles Using Regression Analysis,” Data and Metadata (Scopus Indexed (Q3)), vol. 3, p. 425, Jul. 2024, doi: 10.56294/dm2024425.
  17. Md. A. Haque and Md. Alamgir Hossain et al., “6G Wireless Communication Networks: Challenges and Potential Solution,” International Journal of Business Data Communications and Networking (Scopus Indexed (Q2), vol. 19, no. 1, pp. 1–27, Mar. 2024, doi: 10.4018/IJBDCN.339889.
  18. Md. Alamgir Hossain and Md. Saiful Islam, “Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity,” Cybersecurity (Scopus Indexed (Q1)), vol. 7, no. 1, pp. 1-23, Jan. 2024, doi: 10.1186/s42400-024-00205-z.
  19. Md. Alamgir Hossain and Md. Saiful Islam, “A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection,” Scientific Reports (Scopus Indexed (Q1)), vol. 13, no. 1, Dec. 2023, doi: 10.1038/s41598-023-48230-1.
  20. Md. Alamgir Hossain and Md. Saiful Islam, “Ensuring network security with a robust intrusion detection system using ensemble-based machine learning,” Array (Scopus Indexed (Q1)), p. 100306, Jul. 2023, doi: 10.1016/j.array.2023.100306.
  21. Md. Alamgir Hossain and Md. A. Al Hasan, “Improving cloud data security through hybrid verification technique based on biometrics and encryption system,” International Journal of Computers and Applications (Scopus Indexed (Q2)), vol. 44, no. 5, pp. 455–464, May 2022, doi: 10.1080/1206212X.2020.1809177.
  22. Md. Alamgir Hossain, J. Ferdush, and M. Khatun, “A study and implementation of large-scale log-determinant computation to cloud,” International Journal of Computers and Applications (Scopus Indexed (Q2)), vol. 43, no. 10, pp. 1020–1028, Nov. 2021, doi: 10.1080/1206212X.2019.1648632.

Conference Articles:

  1. M. Al Ahsan, and Md. Alamgir Hossain et al., “A Deep Space Flexible Blind Convolutional Neural Network for Super Compressed JPEG Artifacts Removal,” in 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN 2025), Rangpur, Bangladesh: IEEE, Aug. 2025, pp. 1–6. Accepted and Presented for Publication.
  2. Md. Alamgir Hossain et al., “Enhancing Marine Radar Security through Semi-Supervised Learning: A Self-Training   Approach,” in 2024 2nd International Conference on Information and Communication Technology (ICICT), Dhaka, Bangladesh: IEEE, October. 2024, pp. 1–6. doi: 10.1109/ICICT64387.2024.10839737.
  3. Md. Alamgir Hossain, S. Saif, and Md. S. Islam, “Interpretable Machine Learning for IoT Security: Feature Selection and Explainability in Botnet Intrusion Detection using Extra Trees Classifier,” in 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR), Muscat, Oman: IEEE, May 2024, pp. 1–6. doi: 10.1109/ICIESTR60916.2024.10798158.   
  4. S. Saif, Md. Alamgir Hossain, and Md. S. Islam, “IoT Security Fortification: Enhancing Cyber Threat Detection through Feature Selection and Advanced Machine Learning,” in 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR), Muscat, Oman: IEEE, May 2024, pp. 1–6. doi: 10.1109/ICIESTR60916.2024.10798181. 
  5. I. Ahammad and Md. Alamgir Hossain et al., “Parkinson’s Disease Detection using ML in the Context of Overfitting Issue”, in 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh: IEEE, November 2024, pp. 1–5. doi: 10.1109/BECITHCON64160.2024.10962721. 
  6. M. Bithi, Md. Alamgir Hossain et al., “Enhanced DDoS Detection in Software Defined Networking Using Ensemble-Based Machine Learning,” in 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, Bangladesh: IEEE, May 2024, pp. 1032–1037. doi: 10.1109/ICEEICT62016.2024.10534483.
  7. Md. Alamgir Hossain and M. S. Islam, “An Ensemble-based Machine Learning Approach for Botnet-Based DDoS Attack Detection,” in 2023 IEEE International Conference on Telecommunications and Photonics (ICTP), Dhaka, Bangladesh: IEEE, Dec. 2023, pp. 1–5. doi: 10.1109/ICTP60248.2023.10490528.
  8. M. M. Rahman, Md. Alamgir Hossain, and Others, “EmotionNet: Pioneering Deep Learning Fusion for Real-Time Speech Emotion Recognition with Convolutional Neural Networks,” in 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, Bangladesh: IEEE, May 2024, pp. 592–597. doi: 10.1109/ICEEICT62016.2024.10534404.

Book Chapter:

  1. Md. Alamgir Hossain, “Cyber Bullying Tendency among Young Generation during COVID-19 Pandemic,” in World in Different Perspectives: Rebuilding Lessons after a Crisis, Philippines: Industry and Academic Research Incorporated (IIARI), 2021, pp. 100–110. doi: 10.53378/10.21.001. 
  2. Md. Alamgir Hossain, “Days Of Covid-19 Are The Reflection Of Distress And Emotion,” in The Gripping Story of Pandemic 2020 by PhDians, 2020, pp. 178–194. doi: 10.26524/royal.41.16.

  • Research Internship in Collaborative Research with Institute of Information and Communication Technology (IICT), Bangladesh University of Engineering and Technology (BUET) and ipLab-Laboratory for Cyber Resilience, NARA Institute of Science and Technology (NAIST), Japan under Japan Student Services Organization (JASSO) scholarship.
Research title: Enhancing Maritime Cybersecurity: Federated Learning-Driven Detection of Network Intrusions in Radar Systems.

  • ICT Fellowship Award for the year of 2023-2024 by Information and Communication Technology (ICT) division of People’s Republic of Bangladesh. 
Research Title: Hybrid feature selection and ensemble-based machine learning approach for botnet detection.
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News

*** 7th Convocation Registration Deadline Extended to September 20, 2025 *** Admission going on for Summer 2025 *** LL.B. Admission Test Result has been Published (Fall-2025) *** Admission is open for M.Sc. in Data Science & Machine Learning *** Congratulations! to all the newly enrolled advocates from the State University of Bangladesh *** Certificate verification for SUB students going abroad is now available on www.mygov.bd ***
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