Publications

Uddin, Khandaker Mohammad Mohi, Nitish Biswas, Sarreha Tasmin Rikta, Md Nur‐A‐Alam, and Rafid Mostafiz. "Explainable Machine Learning for Phishing Site Detection: A High‐Efficiency Approach Using Boosting Models and SHAP." The Journal of Engineering 2025, no. 1 (2025): e70110. (Publisher: Wiley; Indexing: SCOPUS, Journal Rank: Q1) 

Ahosan, Abid Bin, Forhadul Islam, Khandaker Mohammad Mohi Uddin, Nahid Hasan, and Md Ashraf Uddin. "Improving Hepatitis B outcome prediction with ensemble machine learning: A study on predictive models and interpretability." Digital Health 11 (2025): 20552076251350755. (Publisher: Sage; Indexing: SCOPUS, Journal Rank: Q1) 

Mim, Tasauf, Md Mahbubur Rahman, Jahanur Biswas, Ahmad Shafkat, and Khandaker Mohammad Mohi Uddin. "FruitsMultiNet: A Deep Neural Network Approach to Identify Fruits through Multi-scale Feature Fusion using Mobile Interface." Journal of Agriculture and Food Research (2025): 102083. (Publisher: Elsevier, Journal Rank: Q1; Indexing: SCOPUS)

Masum, Abdul Kadar Muhammad, Abu Kowshir Bitto, Shafiqul Islam Talukder, Md Fokrul Islam, Mohammed Shamsul Alam Khan, and Khandaker Mohammad Mohi Uddin. "An Explainable AI Based Deep Ensemble Transformer Framework for Gastrointestinal Disease Prediction from Endoscopic Images." (2025).(Indexing: SCOPUS, Journal Rank: Q2) 

Mohi Uddin, Khandaker Mohammad, Md Tofael Ahmed Bhuiyan, Md Mahbubur Rahman, Md Manowarul Islam, and Md Ashraf Uddin. "Early PCOS Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection." Engineering Reports 7, no. 2 (2025): e70008. (Publisher: Wiley; Indexing: SCOPUS, Journal Rank: Q2)  

Uddin, Khandaker Mohammad Mohi, Md Tofael Ahmed Bhuiyan, Mirza Nadim Saad, Ashfaqul Islam, and Md Manowarul Islam. "Ensemble Machine Learning-Based Approach to Predict Cervical Cancer with Hyperparameter Tuning and Model Explainability." Biomedical Materials & Devices (2025): 1-28.(Publisher: Springer; Indexing: SCOPUS, Journal Rank: Q2)  

Dey, Samrat Kumar, Khandaker Mohammad Mohi Uddin, Arpita Howlader, Md Mahbubur Rahman, Hafiz Md Hasan Babu, Nitish Biswas, Umme Raihan Siddiqi, and Badhan Mazumder. "Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach." Neuroscience Informatics 5, no. 2 (2025): 100193. (Publisher: Elsevier; Indexing: SCOPUS, Journal Rank: Q1)  

Belali, Md Habibullah, Ferdus Rhaman Khan, Nur Mohammed Rajin, Hridoy Sarkar, and Khandaker Mohammad Mohi Uddin. "Bone Osteoporosis Fractures Detection with Deep Learning: An X-ray Image Analysis Approach." Biomedical Materials & Devices (2025): 1-19. (Publisher: Springer; Indexing: SCOPUS, Journal Rank: Q2)  

Khanom, Fahmida, Rafid Mostafiz, and Khandaker Mohammad Mohi Uddin. "Exploring Multimodal Framework of Optimized Feature-Based Machine Learning to Revolutionize the Diagnosis of Parkinson’s Disease: AI-Driven Insights." Biomedical Materials & Devices (2025): 1-20. (Publisher: Springer; Indexing: SCOPUS, Journal Rank: Q2)  

Chowdhury, Abir, Md Mahbubur Rahman Druvo, Khandaker Mohammad Mohi Uddin, Md Shariful Islam, and Md Ashraf Uddin. "Optimized Feature Selection and Machine Learning for Accurate Celiac Disease Diagnosis with Model Interpretability." Biomedical Materials & Devices (2025): 1-22. (Publisher: Springer; Indexing: SCOPUS, Journal Rank: Q2) 

Khandaker Mohammad Mohi Uddin, Hasibul Hamim, Mst. Nishat Tasnim Mim, Arnisha Akhter, and Md Ashraf Uddin. "Machine learning and deep learning-based approach to categorize Bengali comments on social networks using fused dataset." PloS one 19, no. 10 (2024): e0308862. (Publisher: PLoS, Journal Rank: Q1; Indexing: SCOPUS).

K. M. Mohi Uddin, I. A. Sikder, and M. N. Hasan, “A Comparative Study on Machine Learning Classifiers for Cervical Cancer Prediction: A Predictive Analytic Approach”, EAI Endorsed Trans IoT, vol. 11, Nov. 2024. (Indexing: SCOPUS)

Islam, M.M., Rifat, H.R., Shahid, M.S.B., Akhter, A., Uddin, M.A. and Uddin, K.M.M., 2025. Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME. Engineering Reports, 7(1), p.e13080.  (Publisher: Wiley, Journal Rank: Q2) 

Md. Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Arnisha Akhter, Md Ashraf Uddin, Khandaker Mohammad Mohi Uddin, "Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME." Engineering Reports 7, no. 1 (2025): e13080. (Journal Rank: Q2; Indexing: SCOPUS) 

Md. Mahbubur Rahman, Md. Emran Hussain Nayeem, Md. Shorup Ahmed, Khadiza Akther Tanha, Md. Shahriar Alam Sakib, Khandaker Mohammad Mohi Uddin, AirNet: predictive machine learning model for air quality forecasting using web interface. Environ Syst Res 13, 44 (2024). https://doi.org/10.1186/s40068-024-00378-z. (Publisher: Springer; Indexing: SCOPUS ) 

Khandaker Mohammad Mohi Uddin,Abdullah Al Mamun, Anamika Chakrabarti, Rafid Mostafiz, An ensemble machine learning-based approach to predict thyroid disease using hybrid feature selection, Biomedical Analysis, DOI: https://doi.org/10.1016/j.bioana.2024.08.00.  (Publisher: Elsevier)

Md Rakibul Hasan, Md. Mahbubur Rahman, Fahim Shahriar, Saikat Islam Khan, Khandaker Mohammad Mohi Uddin, Smart Farming: Leveraging IoT and Deep Learning for Sustainable Tomato Cultivation and Pest Management, Crop Design, DOI: https://doi.org/10.1016/j.cropd.2024.100079. (Publisher: Elsevier)

Khandaker Mohammad Mohi Uddin, Abdullah Al Mamun, Anamika Chakrabarti, Rafid Mostafiz, Samrat Kumar Dey. An Ensemble Machine Learning-Based Approach to Predict Cervical Cancer Using Hybrid Feature Selection. Neuroscience Informatics (2024), p.100169.  (Publisher: Elsevier)

Md Nur-A Alam, Khandaker Mohammad Mohi Uddin, Md Mahbubur Rahman, MMR Manu, Mostofa Kamal Nasir,  A novel automated system to detect breast cancer from ultrasound images using deep fused features with super resolution. Intelligence-Based Medicine (2024), 10, p.100149. https://doi.org/10.1016/j.ibmed.2024.100149. (Publisher: Elsevier, Journal Rank: Q2; Indexing: SCOPUS)

Rokiya Ripa, Khandaker Mohammad Mohi Uddin, Mir Jafikul Alam & Md. Mahbubur Rahman, Hepatitis C Prediction Using Machine Learning and Deep Learning-Based Hybrid Approach with Biomarker and Clinical Data. Biomedical Materials & Devices (2024). https://doi.org/10.1007/s44174-024-00197-x. (Publisher: Springer; Indexing: SCOPUS ) 

Khandaker Mohammad Mohi Uddin, Samrat Kumar Dey, and Hafiz Md Hasan Babu. "A Voice Assistive Mobile Application Tool to Detect Cardiovascular Disease Using Machine Learning Approach." Biomedical Materials & Devices (2024): 1-12. (Publisher: Springer; Indexing: SCOPUS) 

Biswas, Shuvo, Rafid Mostafiz, Bikash Kumar Paul, Khandaker Mohammad Mohi Uddin, Md Abdul Hadi, and Fahmida Khanom. "DFU_XAI: A Deep Learning-Based Approach to Diabetic Foot Ulcer Detection Using Feature Explainability." Biomedical Materials & Devices (2024): 1-21. (Publisher: Springer; Indexing: SCOPUS) 

Md. Nur-A-Alam , Khandaker Mohammad Mohi Uddin , M.M.R. Manu , Md. Mahbubur Rahman , Mostofa Kamal Nasir , An Automatic System to Detect Colorectal Polyp Using Hybrid Fused method from Colonoscopy Images, Intelligent Systems with Applications (2024), doi: https://doi.org/10.1016/j.iswa.2024.200342 (Publisher: Elsevier, Journal Rank: Q1; Indexing: SCOPUS)

Khandaker Mohammad Mohi Uddin, Md Nuzmul Hossain Nahid, Md Mehedi Hasan Ullah, Badhan Mazumder, Md Saikat Islam Khan, and Samrat Kumar Dey. "Machine Learning-Based Chronic Kidney Cancer Prediction Application: A Predictive Analytics Approach." Biomedical Materials & Devices (2023): 1-21. (Publisher: Springer; Indexing: SCOPUS) 

Shuvo Biswas, Rafid Mostafiz, Bikash Kumar Paul, Khandaker Mohammad Mohi Uddin, "DFU_MultiNet: A deep neural network approach for detecting diabetic foot ulcers through multi-scale feature fusion using the DFU dataset", Intelligence-Based Medicine (2023), doi: https://doi.org/10.1016/ j.ibmed.2023.100128. (Publisher: Elsevier, Journal Rank: Q1; Indexing: SCOPUS)

Md. Mahbubur Rahman , Md. Abunoman Basar , Tahmina Sultana Shinti , Md. Saikat Islam Khan , Hafiz Md. Hasan Babu , Khandaker Mohammad Mohi Uddin, A Deep CNN Approach to Detect and Classify Local Fruits through a Web Interface, Smart Agricultural Technology (2023), doi: https://doi.org/10.1016/j.atech.2023.100321.(Publisher: Elsevier; Indexing: SCOPUS) 

Badhan Mazumder, Md Saikat Islam Khan, Khandaker Mohammad Mohi Uddin, Biorthogonal wavelet based entropy feature extraction for identification of maize leaf diseases, Journal of Agriculture and Food Research, Volume 14, 2023, 100756, ISSN 2666-1543, https://doi.org/10.1016/j.jafr.2023.100756. (Publisher: Elsevier, Journal Rank: Q1; Indexing: SCOPUS) 

Khandaker Mohammad Mohi Uddin, Naimur Rahman, Md. Mahbubur Rahman, Samrat Kumar Dey, "Artificial Intelligence Based Domotics Using Multimodal Security", International Journal of Intelligent Systems and Applications(IJISA), Vol.15, No.3, pp.44-55, 2023. DOI:10.5815/ijisa.2023.03.04 

Mohi Uddin KM, Biswas N, Rikta ST, Dey SK, Qazi A. XML-LightGBMDroid: A self-driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis.Engineering Reports. 2023;e12666. doi: 10.1002/eng2.12666. (Publisher: Wiley, Journal Rank: Q2) 

Khandaker Mohammad Mohi Uddin, Rokaiya Ripa, Nilufar Yeasmin, Nitish Biswas, Samrat Kumar Dey, Machine learning- based approach to the diagnosis of cardiovascular vascular disease using a combined dataset, Intelligence-Based Medicine (2023), https://doi.org/10.1016/j.ibmed.2023.100100. (Publisher: Elsevier, Journal Rank: Q1) 

Khandaker Mohammad Mohi Uddin, Mir Jafikul Alam, Jannat-E-Anawar, Md Ashraf Uddin & Sunil Aryal, "A Novel Approach Utilizing Machine Learning for the Early Diagnosis of Alzheimer's Disease", Biomedical Materials & Devices, (2023), https://doi.org/10.1007/s44174-023-00078-9. Publisher: Springer. 

 Sarreha Tasmin Rikta, Khandaker Mohammad Mohi Uddin, Nitish Biswas, Rafid Mostafiz, Fateha Sharmin, Samrat Kumar Dey, XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer, Journal of Pathology Informatics, 2023, https://doi.org/10.1016/j.jpi.2023.100307. (Publisher: Elsevier, Journal Rank: Q1) 

Khandaker Mohammad Mohi Uddin , Nitish Biswas , Sarreha Tasmin Rikta , Samrat Kumar Dey , Machine Learning-based Diagnosis of Breast Can- cer Utilizing Feature Optimization Technique, Computer Methods and Programs in Biomedicine Update (2023), doi: https://doi.org/10.1016/j.cmpbup.2023.100098. (Publisher: Elsevier ) 

Khandaker Mohammad Mohi Uddin, Hasibur Rahman, Mahadi Hasan, Fatema Akter, and Suman Chandra Das, "A machine learning approach to predict autism spectrum disorder (ASD) for both children and adults using feature optimization", Network Biology, 2023, 13(2): 37-52. (Indexing: Web of Science) 

Khandaker Mohammad Mohi Uddin, Sadia Mahamuda, Sikder Sajib Al Shahriar, Md Ashraf Uddin, "Blockchain and IFPS based Secure System for Managing e-FIR", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.15, No.1, pp. 29-40, 2023. DOI:10.5815/ijieeb.2023.01.03 

Uddin, K.M.M., Dey, S.K., Babu, H.M.H. et al. Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images. Sci Rep 12, 21796 (2022). https://doi.org/10.1038/s41598-022-25539-x (Rank: Q1; Publisher: Nature Portfolio) 

Samrat Kumar Dey , Khandaker Mohammad Mohi Uddin , Hafiz Md. Hasan Babu , Md. Mahbubur Rahman , Arpita Howlader , K.M. Aslam Uddin , Chi2- MI: A Hybrid Feature Selection based Machine Learning Approach in Diagnosis of Chronic Kidney Disease, Intelligent Systems with Applications (2022), doi: https://doi.org/10.1016/j.iswa.2022.200144. (Publisher: Elsevier, Journal Rank: Q1) 

N. Biswas, K.M.M. Uddin, S.T. Rikta et al., A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach, Healthcare Analytics (2022), doi: https://doi.org/10.1016/j.health.2022.100116. (Publisher: Elsevier ) 

Samrat Kumar Dey, Md. Mahbubur Rahman, Arpita Howlader, Umme Raihan Siddiqi, Khandaker Mohammad Mohi Uddin, Rownak Borhan, Elias Ur Rahman, (2022) Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach. PLoS ONE 17(7): e0270933. https://doi.org/10.1371/journal.pone.0270933 (Journal Rank: Q1) 

Hafiz Md. Hasan Babu, Khandaker Mohammad Mohi Uddin, Tamanna Tabassum, Mohammed Nasir Uddin, "DNA Technology for Multi-Valued Data Storage Using Read Only Memory", Journal of Applied Logics — IfCoLog Journal of Logics and their Applications, Vol. 9 No. 3, 2022, ESCI (Web of Science) and Scopus Indexed 

Rafid Mostafiz, Mohammad Shorif Uddin, Khandaker Mohammad Mohi Uddin, Mohammad Motiur Rahman, "COVID-19 along with Other Chest Infections Diagnosis Using Faster R-CNN and Generative Adversarial Network," ACM Transactions on Spatial Algorithms and Systems (ACM), June 2022, https://doi.org/10.1145/3520125 ESCI (Web of Science) and Scopus Indexed 

Md. Mahbubur Rahman, Morshedur Rahman Rana, Md. Nur-A-Alam, Md. Saikat Islam Khan, Khandaker Mohammad Mohi Uddin, "A web-based heart disease prediction system using machine learning algorithms", Network Biology, 2022, 12(2): 64-81. Web of Science Indexed 

Khandaker Mohammad Mohi Uddin, Shohelee Afrin Shahela, Naimur Rahman, ‪Rafid Mostafiz, Md. Mahbubur Rahman, " Smart Home Security Using Facial Authentication and Mobile Application", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.12, No.2, pp. 40-50, 2022.DOI: 10.5815/ijwmt.2022.02.04  

Khandaker Mohammad Mohi Uddin, Samrat Kumar Dey, Gias Uddin Parvez, Ayesha Siddika Mukta & Uzzal Kumar Acharjee, "MirrorME: implementation of an IoT based smart mirror through facial recognition and personalized information recommendation algorithm", International Journal of Information Technology (2021), Springer, https://doi.org/10.1007/s41870-021-00801-z, Scopus Indexed 

Rafid Mostafiz, Khandaker Mohammad Mohi Uddin, Mohammad Shorif Uddin, Farhana Binte, "Diagnosis of diabetes: A machine learning paradigm using optimized features", Network Biology, 2021, 11(3): 222-240. Web of Science Indexed 

Khandaker Mohammad Mohi Uddin, Md Razwanul Ghani, Kazi Hozayfa Ahsan, Rafid Mostafiz, Samrat Kumar Dey, " CarryIT: Design and Implementation of an Effective Parcel Carrying System", International Journal of Education and Management Engineering (IJEME), Vol.11, No.3, pp. 20-30, 2021. DOI: 10.5815/ijeme.2021.03.03 

Khandaker Mohammad Mohi Uddin, Nayeema Islam and Jahanara Akhtar. "Implementing AODV Routing Protocol in VANET using SDN," International Journal of Computer Applications 175(32):32-37, November 2020. 

Nur-A-Alam, Md. Mahbubur Rahman, Khandaker Mohammad Mohi Uddin, Al Bashir, Jahanara Akhtar, "Non-Small Cell Lung Cancer Classification from Histopathological Images using Feature Fusion and Deep CNN," International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-5, June 2020.

Khandaker Mohammad Mohi Uddin , Md. Zobaidul Karim, Nayeema Islam and Mohammed Nasir Uddin “Comparison of the Performance of IEEE802.11a, IEEE802.11b, IEEE802.11g and IEEE802.11n Wireless LAN Standards,” Jagannath University Journal of Science, ISSN 2224-1698 Vol-05, Page:55-62. 

Amin, Istiack, and Khandaker Mohammad Mohi Uddin. "A Data-Centric Approach to Detect Lung Cancer Using Diverse Machine Learning Algorithms." In International Conference on Machine Intelligence and Emerging Technologies, pp. 113-129. Singapore: Springer Nature Singapore, 2024. doi:  https://link.springer.com/chapter/10.1007/978-981-96-2721-9_8. 

Uddin, K.M.M., Mohamed, A., Biswas, N., Mostafiz, R. (2025). Machine Learning-Based Approach to Predict Heart Diseases Using Fused Dataset. In: Mahmud, M., Kaiser, M.S., Bandyopadhyay, A., Ray, K., Al Mamun, S. (eds) Proceedings of Trends in Electronics and Health Informatics. TEHI 2023. Lecture Notes in Networks and Systems, vol 1034. Springer, Singapore. https://doi.org/10.1007/978-981-97-3937-0_22.

Hamim, H., Uddin, K.M.M., Mim, M.N.T., Mostafiz, R., Based, M.A. (2025). Uncovering Bullying on Social Media Platforms: A Comprehensive Study of Machine Learning Classifiers for Cyberbullying Detection. In: Mahmud, M., Kaiser, M.S., Bandyopadhyay, A., Ray, K., Al Mamun, S. (eds) Proceedings of Trends in Electronics and Health Informatics. TEHI 2023. Lecture Notes in Networks and Systems, vol 1034. Springer, Singapore. https://doi.org/10.1007/978-981-97-3937-0_36.

Uddin, K.M.M., Islam, M.A., Hasan, M.N., Ahmad, K., Haque, M.A. (2025). An Ensemble Machine Learning-Based Approach for Detecting Malicious Websites Using URL Features. In: Mahmud, M., Kaiser, M.S., Bandyopadhyay, A., Ray, K., Al Mamun, S. (eds) Proceedings of Trends in Electronics and Health Informatics. TEHI 2023. Lecture Notes in Networks and Systems, vol 1034. Springer, Singapore. https://doi.org/10.1007/978-981-97-3937-0_5.

Al Mamun, A., Uddin, K.M.M., Chakrabarti, A., Nur-A-Alam, M., Mahbubur Rahman, M. (2025). An Optimal Feature Selection-Based Approach to Predict Cervical Cancer Using Machine Learning. In: Mahmud, M., Kaiser, M.S., Bandyopadhyay, A., Ray, K., Al Mamun, S. (eds) Proceedings of Trends in Electronics and Health Informatics. TEHI 2023. Lecture Notes in Networks and Systems, vol 1034. Springer, Singapore. https://doi.org/10.1007/978-981-97-3937-0_23.

Dhar, R.K., Khanom, F., Uddin, K.M.M., Imam, M.H., Mostafiz, R. (2025). Bangla License Plate Detection and Recognition Approach Based on Computer Vision for Authentic Vehicle Identification. In: Mahmud, M., Kaiser, M.S., Bandyopadhyay, A., Ray, K., Al Mamun, S. (eds) Proceedings of Trends in Electronics and Health Informatics. TEHI 2023. Lecture Notes in Networks and Systems, vol 1034. Springer, Singapore. https://doi.org/10.1007/978-981-97-3937-0_19 .

Uddin, K.M.M. et al. (2024). Toward Early Detection of Neonatal Birth Asphyxia Utilizing Ensemble Machine Learning Approach. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-97-0180-3_4.

Uddin, K.M.M., Rahman, E.U., Das, P.k., Rashid, M.M.A., Dey, S.K. (2023). Course Outcomes and Program Outcomes Evaluation with the Recommendation System for the Students. In: Hu, Z., Zhang, Q., He, M. (eds) Advances in Artificial Systems for Logistics Engineering III. ICAILE 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 180. Springer, Cham. https://doi.org/10.1007/978-3-031-36115-9_93. 

Dey, S.K., Uddin, K.M.M., Saha, D., Akter, L., Akhter, M. (2023). Evaluating Usability of E-Learning Applications in Bangladesh: A Semiotic and Heuristic Evaluation Approach. In: Hu, Z., Zhang, Q., He, M. (eds) Advances in Artificial Systems for Logistics Engineering III. ICAILE 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 180. Springer, Cham. https://doi.org/10.1007/978-3-031-36115-9_13. 

Uddin, K.M.M., Borhan, R., Rahman, E.U., Sharmin, F., Khan, S.I. (2023). Dangerous Landslide Suspectable Region Forecasting in Bangladesh – A Machine Learning Fusion Approach. In: Hu, Z., Zhang, Q., He, M. (eds) Advances in Artificial Systems for Logistics Engineering III. ICAILE 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 180. Springer, Cham. https://doi.org/10.1007/978-3-031-36115-9_28. 

Hamim, Hasibul, Khandaker Mohammad Mohi Uddin, Mst Nishat Tasnim Mim, Md Tahzib Ul Islam, and Md Abdul Based. "Deep Learning and Ensemble Machine Learning-Based Approach to Detect Cyberbullying Using Twitter Data." In 2024 13th International Conference on Electrical and Computer Engineering (ICECE), pp. 194-199. IEEE, 2024. doi:  https://ieeexplore.ieee.org/abstract/document/11024703.  Indexing: SCOPUS.

Chowdhury, Abir, Md Mahbubur Rahman Druvo, Md Shariful Islam, Khandaker Mohammad Mohi Uddin, Md Tahzib Ul Islam, and Md Abdul Based. "A Hybrid Ensemble Approach with Feature Selection and Interpretability to Optimize Osteoporosis Risk Prediction." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-6. IEEE, 2025. doi:  https://ieeexplore.ieee.org/abstract/document/11013870.  Indexing: SCOPUS.

Bhuiyan, Md Tofael Ahmed, Khandaker Mohammad Mohi Uddin, Md Rakibul Islam, and Md Habibullah Belali. "Stacking Ensemble Technique to Predict Cervical Cancer Using Hyperparameter Tuning and Feature Selection." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-6. IEEE, 2025. doi:  https://ieeexplore.ieee.org/document/11012979.  Indexing: SCOPUS.

Saad, Mirza Nadim, Umme Ara Mahinur Istia, Md Habibullah Belali, and Khandaker Mohammad Mohi Uddin. "Heart Disease Prediction Using ML and Ensemble Models: A Comprehensive Analysis." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-6. IEEE, 2025. doi:  https://ieeexplore.ieee.org/document/11013804.  Indexing: SCOPUS.

Istia, Umme Ara Mahinur, Khandaker Mohammad Mohi Uddin, Md Tahzib Ul Islam, and Md Abdul Based. "An Integrated Approach Using Ensemble Machine Learning and Deep Learning for Loan Approval Prediction." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-6. IEEE, 2025. doi:  https://ieeexplore.ieee.org/document/11013889.  Indexing: SCOPUS.

Amin, Istiack, Tashreef Muhammad, and Khandaker Mohammad Mohi Uddin. "A Data-Centric Method to Identify Lung Cancer Using a Variety of Machine Learning Approaches." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-6. IEEE, 2025. doi:  https://ieeexplore.ieee.org/document/11013866.  Indexing: SCOPUS.

Jenin, Fatema Tuj, Khandaker Mohammad Mohi Uddin, Faizul Ahmed Robin, and Md Ferdous Bin Hafiz. "Predictive Insights Beyond Boundaries: Integrating Clinical Data for Hepatitis C Forecasting Using Machine Learning and Deep Learning." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-6. IEEE, 2025. doi:  https://ieeexplore.ieee.org/document/11013856.   Indexing: SCOPUS.

Uddin, K.M.M., Fahmid, S.J., Khatun, K., Islam, M.T.U. and Based, M.A., 2024, November. Machine Learning Based Earlier Pancreatic Cancer Detection Using Hybrid Feature Selection. In 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) (pp. 169-174). IEEE. Indexing: SCOPUS.

Bhuiyan, M.T.A., Bhuiyan, M.N.H., Uddin, K.M.M. and Based, M.A., 2024, November. A Feature Selection-Based Ensemble Machine Learning Method for Predicting Chronic Kidney Cancer. In 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) (pp. 193-199). IEEE.  Indexing: SCOPUS.

Ahosan, A.B., Uddin, K.M.M., Islam, F., Janin, F.T. and Based, M.A., 2024, November. Machine Learning-Based Approach to Predict Liver Disease Using an Imbalanced Dataset. In 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) (pp. 279-284). IEEE.  Indexing: SCOPUS.

Sikder, I.A., Uddin, K.M.M., Nur-A-Alam, M. and Based, M.A., 2024, November. Diagnosis of Parkinson’s Diseases with MDVP Features Using Machine Learning Approaches. In 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) (pp. 175-180). IEEE.  Indexing: SCOPUS.

M. N. Saad, E. Jahan, S. Ahmed and K. M. Mohi Uddin, "An Ensemble Machine Learning-Based Method to Determine the Presence of Heart Ailment Using Pooled Dataset," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-6, doi: 10.1109/COMPAS60761.2024.10796352.  Indexing: SCOPUS.

Al-Amain, F. T. Janin, F. Ahmed Robin, S. Ahmed and K. M. Mohi Uddin, "Unleashing Machine Learning for Hepatitis C Prediction: A Holistic Exploration of Clinical Insights," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-6, doi: 10.1109/COMPAS60761.2024.10796087.  Indexing: SCOPUS.

Alam, M.J., Anawar, J.E., Uddin, K.M.M., Rahman, M.H. and Rahman, M.M., 2024, May. Machine Learning Techniques for Predicting Ovarian Cancer in its Early Stages Using Biomarkers. In 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) (pp. 1257-1262). IEEE. Indexing: SCOPUS.

Based, M.A., Borhan, R., Uddin, K.M.M. and Uddin, M.S., 2024, April. Development of an E-Voting Scheme through a Blockchain-Enabled Approach with Deep Hybrid Learning for Biometric Authentication. In 2024 IEEE 9th International Conference for Convergence in Technology (I2CT) (pp. 1-6). IEEE. Indexing: SCOPUS.

Hafiz Md. Hasan Babu; Khandaker Mohammad Mohi Uddin; Rownak Borhan Himel; Nitish Biswas, "Quantum Technology for Comparator Circuit," 2022 23rd International Symposium on Quality Electronic Design (ISQED), 2022, pp. 1-1, doi: 10.1109/ISQED54688.2022.9806275, Publisher: IEEE.  Indexing: SCOPUS.

Khandaker Mohammad Mohi Uddin , Aditta Chakraborty, Md. Abdul Hadi, Md Ashraf Uddin , and Samrat Kumar Dey, "Artificial Intelligence Based Real-Time Attendance System Using Face Recognition," 2021 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 2021, pp. 1-6, doi: 10.1109/ICEEICT53905.2021.9667836. Publisher: IEEE. Indexing: SCOPUS.