SKill Morph

(Transforming Intelligent Ideas into High-Impact Research. )

Skill Morph Research Lab. is a visionary research lab in Bangladesh, dedicated to transforming intelligent ideas into high-impact, globally recognized research. Founded with a passion for scientific excellence and academic innovation, the lab stands as a beacon for aspiring researchers, students, and professionals who seek to make a meaningful contribution to the world of knowledge.

At Skill Morph Research Lab., we foster an ecosystem where deep curiosity meets rigorous experimentation, driving groundbreaking discoveries in Artificial Intelligence, Machine Learning, Deep Learning, Federated Learning, and Data Science. We believe that great research is not born in isolation, it thrives in a culture of collaboration, mentorship, and shared purpose.

One of our core strengths is our ability to bridge Data Science with virtually any academic domain or subject. Whether your background is in Medicine, Public Health, Agriculture, Business, Economics, Social Science, Engineering, or any other field, we help you harness the power of Data Science to conduct rigorous, meaningful, and publishable research in your own domain. We believe that every field has data, and every piece of data has a story worth telling through research.

Ongoing Courses

Research through Data Science (ML, DL, FL) for All

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Research with Machine Learning (ML) for All

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Latest Publications

Ms. Bithi, Tahani Alsubait, Amani Ibraheem, Md. Emran Masud & Md. Alamgir Hossain, “A federated learning-benchmarking framework for privacy-preserving UAV intrusion detection using adaptive aggregation algorithms,” Scientific Reports (Scopus Indexed (Q1)), May. 2026, pp. 1–15, doi: 10.1038/s41598-026-50865-9.

List of Journal Articles

Ms. Bithi, Tahani Alsubait, Amani Ibraheem, Md. Emran Masud & Md. Alamgir Hossain, “A federated learning-benchmarking framework for privacy-preserving UAV intrusion detection using adaptive aggregation algorithms,” Scientific Reports (Scopus Indexed (Q1)), May. 2026, pp. 1–15, doi: 10.1038/s41598-026-50865-9.
Jianghua Wang, Tahani Alsubait, Ahmad Subhi Salem Mufleh & Md. Alamgir Hossain, “Residual-aware lightweight deep learning framework for high-fidelity intrusion detection in UAV swarm networks,” Scientific Reports (Scopus Indexed (Q1)), May. 2026, pp. 1–20, doi: 10.1038/s41598-026-52524-5.
Md. Shafiqul Islam, Faraz Ahmed, Waqas Ishtiaq, Md. Alamgir Hossain, Md. Samiul Islam & Muhammad Masud Tarek, “Advanced Explainable Ensemble Models for Multi-Class Intrusion Detection in Heterogeneous Drone and Industrial Networks,” Journal on Information Security (Scopus Indexed (Q2)), Apr. 2026, pp. 1–19, doi: 10.1186/s13635-026-00234-w.
Tarun Kumar Biswas, Ashrafun Zannat, Waqas Ishtiaq & Md. Alamgir Hossain, “A novel unified lightweight temporal-spatial transformer approach for intrusion detection in drone networks,” Scientific Reports (Scopus Indexed (Q1)), Mar. 2026, pp. 1–14, doi: 10.1038/s41598-026-45063-6.
Ms. Bithi, Md. Emran Masud & Md. Alamgir Hossain, “A new adaptive federated learning approach for privacy preserving UAV anomaly detection under non-IID distributions,” Scientific Reports (Scopus Indexed (Q1)), Feb. 2026, pp. 1–19, doi: 10.1038/s41598-026-38732-z.
A. Zannat, Md. Alamgir Hossain, et al., “ASTRID-Net: SE-enhanced triple attention deep learning framework for IoT and IIoT security,” Scientific Reports (Scopus Indexed (Q1)), Jan. 2026, pp. 1–15, doi: 10.1038/s41598-026-36731-8.
F. Yasmin, Md. Alamgir Hossain, et al., “Teacher activities and student participation in university classrooms: a cross-sectional study in the technological era,” Scientific Reports (Scopus Indexed (Q1)), Jan. 2026, pp. 1–17, doi: 10.1038/s41598-026-36080-6.
M. M. N. Shakil, Md. Alamgir Hossain, Md. S. Islam, and N. V. D. S. S. V. Prasad Raju, “A novel deep learning approach for intrusion detection in maritime radar networks,” Scientific Reports, Dec. 2025, doi: 10.1038/s41598-025-34353-0.

Kingkar Prosad Ghosh, Mehedi Hasan, Md. Towhidul Islam Robin, Md. Alamgir Hossain and Md. Samiul Islam , “A novel deep learning framework with temporal attention convolutional networks for intrusion detection in IoT and IIoT networks,” Scientific Reports, vol. 15, pp. 1-25, Nov. 2025, doi: 10.1038/s41598-025-32697-1.

Md. Alamgir Hossain, et al., “A Comparative Analysis of Ensemble-Based Machine Learning Approaches With Explainable AI for Multi-Class Intrusion Detection in Drone Networks,” Security and Privacy (SCIE Indexed (WOS)), Dec. 2025, pp. 1–28, doi: 10.1002/spy2.70164.

Hikmat A. M. Abdeljaber, Md. Alamgir Hossain, Sultan Ahmad3, Ahmed Alsanad, Md Alimul Haque, Sudan Jha, and Jabeen Nazeer, “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)), vol. 16, pp. 1-17, Jan. 2026, doi: 10.22967/HCIS.2026.16.001.
Mohammad Nowsin Amin Sheikh, Muhammad Saibtain Raza, I-Shyan Hwang, Md. Alamgir Hossain, Ihsan Ullah, Tahmid Hasan, Mohammad Syuhaimi Ab-Rahman, “SDN-Enabled IoT Based Transport Layer DDoS Attacks Detection Using RNNs,” Computers, Materials & Continua (Tech Science Press) (Scopus Indexed (Q2)), Sep. 2025, doi: 10.32604/cmc.2025.065850.
W. I and Md. Alamgir Hossain, et al., “CST-AFNet: A dual attention-based deep learning framework for intrusion detection in IoT networks,” Array (Scopus Indexed (Q1)), Aug. 2025, doi:10.1016/j.array.2025.100501.
Md. Alamgir Hossain, et al., “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.
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.
Md. Alamgir Hossain, “FED-GEM-CN: A federated dual-CNN architecture with contrastive cross-attention for maritime radar intrusion detection,” Array, vol. 27, p. 100456, Sep. 2025, doi: 10.1016/j.array.2025.100456.
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)), pp. 1-6, Jun. 2025, doi: 10.1016/j.icte.2025.05.007.
Md. Alamgir Hossain, M. D. Hossain, R. Choupani, and E. Doǧdu, “MRS-PFIDS: federated learning driven detection of network intrusions in maritime radar systems,” International Journal of Information Security, vol. 24, no. 2, pp. 1-19, Apr. 2025, doi: 10.1007/s10207-025-01008-0.
Md. Alamgir Hossain and M. S. Islam, “A novel feature selection-driven ensemble learning approach for accurate botnet attack detection,” Alexandria Engineering Journal, vol. 118, pp. 261–277, Apr. 2025, doi: 10.1016/j.aej.2025.01.042.
Md. Alamgir Hossain et al., “Deep learning and ensemble methods for anomaly detection in ICS security,” International Journal of Information Technology, vol. 16, no. 8, pp. 1-15, Dec. 2024, doi: 10.1007/s41870-024-02299-7.
M. S. Hossain, Md. Alamgir Hossain, and Md. S. Islam, “I-MPaFS: enhancing EDoS attack detection in cloud computing through a data-driven approach,” J Cloud Comp, vol. 13, no. 1, p. 151, Oct. 2024, doi: 10.1186/s13677-024-00699-5.
Md. Alamgir Hossain, T. Hasan, F. Ahmed, S. H. Cheragee, M. H. Kanchan, and M. A. Haque, “Towards Superior Android Ransomware Detection: An Ensemble Machine Learning Perspective,” Cyber Security and Applications, p. 100076, Oct. 2024, doi: 10.1016/j.csa.2024.100076.
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, p. 20427530241280080, Sep. 2024, doi: 10.1177/20427530241280078.
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, Jul. 2024, doi: 10.56294/dm2024425.
Md. Alamgir Hossain et al., “AI-enabled approach for enhancing obfuscated malware detection: a hybrid ensemble learning with combined feature selection techniques,” International Journal of System Assurance Engineering and Management, Mar. 2024, doi: 10.1007/s13198-024-02294-y.
Md. Alamgir Hossain et al., “6G Wireless Communication Networks: Challenges and Potential Solution,” International Journal of Business Data Communications and Networking, vol. 19, no. 1, pp. 1–27, Mar. 2024, doi: 10.4018/IJBDCN.339889.
Md. Alamgir Hossain and M. S. Islam, “Enhancing DDoS attack detection with hybrid feature selection and ensemble-based classifier: A promising solution for robust cybersecurity,” Measurement: Sensors, vol. 32, p. 101037, Apr. 2024, doi: 10.1016/j.measen.2024.101037.
Md. Alamgir Hossain and M. S. Islam, “Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity,” Cybersecurity, vol. 7, no. 1, Jan. 2024 doi: 10.1186/s42400-024-00205-z.
Md. Alamgir Hossain and M. S. Islam, “A Novel Hybrid Feature Selection and Ensemble-Based Machine Learning Approach for Botnet Detection,” Scientific Reports, vol. 13, pp. 1-28, Nov. 2023, doi: 10.1038/s41598-023-48230-1.
Md. Alamgir Hossain, “Enhanced Ensemble-Based Distributed Denial-of-Service (DDoS) Attack Detection with Novel Feature Selection: A Robust Cybersecurity Approach,” Artificial Intelligence Evolution, vol. 4, no. 2, pp. 165–186, Aug. 2023, doi: 10.37256/aie.4220233337.
Md. Alamgir Hossain and M. S. Islam, “Ensuring network security with a robust intrusion detection system using ensemble-based machine learning,” Array, p. 100306, Jul. 2023, doi: 10.1016/j.array.2023.100306.
Md. Alamgir Hossain, I. Ahammad, Md. K. Ahmed, and M. I. Ahmed, “Prediction of the Computer Science Department’s Educational Performance through Machine Learning Model by Analyzing Students’ Academic Statements,” Artificial Intelligence Evolution, vol. 4, no. 1, pp. 70–87, May 2023, doi: 10.37256/aie.4120232569.
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, vol. 44, no. 5, pp. 455–464, May 2022, doi: 10.1080/1206212X.2020.1809177.
Md. Alamgir Hossain et al., “Predicting the Specialized Areas of Computer Science Students of Bachelor of Science Level Analyzing Academic Statements Using Machine-learning Approaches,” International Journal of Computer Science & Programming languages, vol. 8, no. 2, pp. 30–51, 2022, link: https://computers.journalspub.info/index.php?journal=JCSPL.
Md. Alamgir Hossain and F. Yasmin, “Emergency Online Teaching-Learning Model in the Context of Higher-Level Education due to the COVID-19 Pandemic,” JSHE, vol. 2, no. 4, pp. 327–341, Aug. 2022, doi: 10.35912/jshe.v2i4.1109.
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, vol. 43, no. 10, pp. 1020–1028, Nov. 2021, doi: 10.1080/1206212X.2019.1648632.
S. Akter, Md. Alamgir Hossain, and Md. M. Rahman Redoy Akanda, “A Noble Security Analysis of Various Distributed Systems,” Int. J. Eng. Scie. and Inform. Technology., vol. 1, no. 2, pp. 62–71, Apr. 2021, doi: 10.52088/ijesty.v1i2.101.
F. Yasmin and Md. Alamgir Hossain, “How do smart devices control and changes the lifestyle habits of human being? A study in the context of Bangladesh,” Journal of Social, Humanity, and Education, vol. 2, no. 1, pp. 85–100, Nov. 2021, doi: 10.35912/jshe.v2i1.832.
M. M. R. R. Akanda and Md. Alamgir Hossain, “Smart-devices in Human Behavior Manipula-tion: Process diagram with exploratory assessment,” Int. J. Eng. Scie. and Inform. Technology., vol. 1, no. 3, pp. 54–58, Jul. 2021, doi: 10.52088/ijesty.v1i3.88.
F. Yasmin and Md. Alamgir Hossain, “We Decided we Would Commit Suicide but we Couldn’t The Most Unique and Functional Decision of the Young Generation during the Pandemic Situation of Covid-19,” JHSS, vol. 12, no. 2, Dec. 2021, doi: 10.46422/jhss.v12i2.171.
Md. Alamgir Hossain and S. Akter, “A REVIEW ON DIFFERENT CLASSIFICATION, FEATURE EXTRACTION AND SEGMENTATION METHODOLOGIES OF LEAF DISEASE DETECTION USING IMAGE PROCESSING APPROACH,” World Academy of Informatics and Management Sciences, vol. 9, no. 4, pp. 9434–9440, Jul. 2020.
Md. Alamgir Hossain, F. Yasmin, O. J. Mondal, and Md. R. Rahman, “Impact of Smart Devices on Family Relationship: An Analysis in the Context of Bangladesh,” Prime University Journal, vol. 15, no. 2, pp. 26–40, 2021. Link: https://www.primeuniversity.edu.bd/file/crhp_details/1699265856.pdf.

List of Conference Papers

Md. Shafiqul Islam, Md. Alamgir Hossain, Md. Samiul Islam “An Ensemble Learning Approach for Multi-Class Intrusion Detection with Comparative Performance and Explainability Analysis,” in 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Dhaka, Bangladesh: IEEE, Jan. 2026, pp. 1–6. doi: 10.1109/ICECTE69292.2026.11429263.
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.
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.
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.
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), 2024, pp. 149-152. doi: 10.1109/BECITHCON64160.2024.10962721
M. Bithi, Md. Alamgir Hossain, and Others, “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.
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.
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.
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. doi:10.1109/QPAIN66474.2025.11171870.

List of Book Chapters

[1] Md. A. Haque, F. Islam, S. Ahmad, Md. Alamgir Hossain, and S. Kumari, “Network modeling in drug-disease systems prediction: A review,” in Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery, Elsevier, 2026, pp. 105–120. doi: 10.1016/B978-0-443-27608-8.00004-7.

[2] Md. Alamgir Hossain, Md. D. Hossain, L. Khan, H. Ochiai, Md. S. Islam, and Y. Kadobayashi, “Toward Secure Marine Navigation: A Deep Learning Framework for Radar Network Attack Detection,” in Maritime Cybersecurity, S. Bauk, Ed., in Signals and Communication Technology. , Cham: Springer Nature Switzerland, 2025, pp. 195–215. doi: 10.1007/978-3-031-87290-7_11.

[3] 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.

[4] Md. Alamgir Hossain, “DAYS OF COVID-19 ARE THE REFLECTION OF DISTRESS AND EMOTIONDAYS OF COVID-19 ARE THE REFLECTION OF DISTRESS AND EMOTION,” in The Gripping Story of Pandemic 2020, 2020, pp. 178–194. doi: 10.26524/royal.41.16.

[5] Md. Alamgir Hossain, “Ways to enhance Economic Cooperation between Nepal and Bangladesh,” in From Himalayas to Bay of Bengal: Chronicles of Nepal-Bangladesh Friendship, Bangladesh-Nepal Friendship Society, 2024, pp. 75–80.

List of Research Posters/Abstracts

Md. Hasan Khan, Md. Alamgir Hossain, and Md. Samiul Islam, “Enhancing Detection Reliability: An Explainable Ensemble-Based Approach for Breast Cancer Prediction”, International Conference on Electronics and Informatics - 2026.
Palash Mondol, Md. Palash Bin Faruque, Saiful Islam, Md. Abdul Khalek, Md. Samiul Islam, and Md. Alamgir Hossain, “Decoding Cardiovascular Risk Factors: An Explainable Machine Learning Approach for Heart Disease Prediction using CDC BRFSS 2020 Data”, International Conference on Electronics and Informatics - 2026.
Palash Mondol, Md. Palash Bin Faruque, Saiful Islam, Md. Abdul Khalek, Md. Samiul Islam, and Md. Alamgir Hossain, “An Explainable Machine Learning Approach for Diabetes Diagnosis Using Mutual Information-Based Feature Selection”, International Conference on Electronics and Informatics - 2026.
Dipto Kundu, Prothasha Rani Das, Provash Kumar Karmokar, Md. Alamgir Hossain, and Md. Samiul Islam, “Microbial Signatures and Functional Shifts in Upper Gastrointestinal Carcinoma: A Metagenomic Analysis”, International Conference on Electronics and Informatics - 2026.
Md. Alamgir Hossain and Md. Saiful Islam, “Enhancing network security by detecting botnet using ensemble-based machine learning classifier”, IICT Student Poster Competition 2023 at IICT, BUET.

News/Notices

Notice to use the affiliation of Skill Morph Research Lab. in research articles. Details.
Best Oral Presentation Award at ICEI-2026 by our researcher Palash Mondol. Details.
Md. Alamgir Hossain, Research Director of the Skill Morph Research Lab, delivered an invited talk on “Data Security and Social Media Behavior” at Labaid Group on April 4, 2026. More details.

Latest Achievement

Latest Blog Articles

“বাংলাদেশে AI Research: চ্যালেঞ্জ, সম্ভাবনা ও ভবিষ্যতের দিগন্ত”, Link: https://skillmorph.blogspot.com/2026/05/ai-research.html
Skill Morph Research Lab., “Data Science Is Reshaping Bangladesh-And Why Research Labs Matter More Than Ever”, Link: https://skillmorph.blogspot.com/2026/05/data-science-is-reshaping-bangladesh.html
Md. Alamgir Hossain, “সংবেদনের সীমানা ছুঁয়ে: বাংলাদেশের বাস্তবতায় মেশিন লার্নিং”, Link: https://alamgirhossainjust.blogspot.com/2025/07/blog-post.html.
Md. Alamgir Hossain, “এক বৈপ্লবিক সভ্যতার পথে”, https://alamgirhossainjust.blogspot.com/2025/06/blog-post.html.

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