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Journal Article

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  1. A. B. M. Abdullahel Shafi, Kusay Faisal Al-Tabatabaie, Lway Faisal Abdulrazak, Md. Aslam Mollah, Sobhy M. Ibrahim, Kawsar Ahmed, Francis M. Bui & Li, Exposed Core Fiber Plasmonics Biosensor for SARS-CoV-2 Particle Detection, Plasmonics, 2025.

  2. Md. Aslam Mollah, Lway Faisal Abdulrazak, Tahsin Tabassum, Md. Sohanur Rahman, Sobhy M. Ibrahim, Kawsar Ahmed, Francis M. Bui & Li Chen, Photonic Crystal Fiber Plasmonic Biosensor for SARS-CoV-2 Particle Quantification and Detection, Plasmonics,2025.

  3. Md Fahim Sultan, Tasmin Karim, Md Shazzad Hossain Shaon, Sayed Mehedi Azim, Iman Dehzangi, Mst Shapna Akter, Sobhy M. Ibrahim, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, DHUpredET: A comparative computational approach for identification of dihydrouridine modification sites in RNA sequence, Analytical Biochemistry, 2025.

  4. Fazla Rabby Raihan, Lway Faisal Abdulrazak, Md. Ashikur Rahman, Md Mamun Ali, Sobhy M. Ibrahim, Kawsar Ahmed, Francis M. Bui, Imran Mahmud, StackTHP: A stacking ensemble model for accurate prediction of tumor-homing peptides in cancer therapy, Computers in Biology and Medicine, 2025.

  5. Sk. Tanzir Mehedi, Lway Faisal Abdulrazak, Kawsar Ahmed, Muhammad Shahin Uddin, Francis M. Bui, Li Chen, Mohammad Ali Moni & Fahad Ahmed Al-Zahrani, A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences, Scientific Reports, 2025.

  6. F M Javed Mehedi Shamrat, Rashiduzzaman Shakil,Sharmin,Nazmul Hoque ovy, Bonna Akter, Md Zunayed Ahmed, Kawsar Ahmed, Francis M. Bui, Mohammad Ali Moni, An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection, Healthcare Analytics, 2024.

  7. Munaf K. Khalaf, Hanan J. Taher, Shaymaa R. Tahhan, Kawsar Ahmed & Fahad Ahmed Al-Zahrani, Design and Numerical Analysis of Refractive Index-Based Reproductive Hormone Sensor, Plasmonics, 2024.

  8. Ammar M. Tuaimah, Shaymaa R. Tahhan, Hanan J. Taher, Kawsar Ahmed & Fahad Ahmed Al-Zahrani, Multi analyte detection based on D-shaped PCF sensor for glucose concentrations sensing, Optical and Quantum Electronics, 2024.

  9. Md. Shazzad Hossain Shaon, Tasmin Karim, Md. Fahim Sultan, Md. Mamun Ali, Kawsar Ahmed, Md. Zahid Hasan, Ahmed Moustafa, Francis M. Bui & Fahad Ahmed Al-Zahrani,AMP-RNNpro: a two-stage approach for identification of antimicrobials using probabilistic features,Scientific Reports,2024.

  10. Amit Dutta, Md. Arju Hossain, Pratul Dipta Somadder, Mahmuda Akter Moli, Kawsar Ahmed, Md Masuder Rahman, Francis M. Bui,Exploring the therapeutic targets of stevioside in management of type 2 diabetes by network pharmacology and in-silico approach, Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2024.

  11. Popy Das,,Md. Rashid Al Asif,Sohely Jahan,Kawsar Ahmed, Francis M. Bui, Rahamatullah Khondoker, STRIDE-Based Cybersecurity Threat Modeling, Risk Assessment and Treatment of an In-Vehicle Infotainment System, Vehicles, 2024.

  12. Ananda Sutradhar, Sharmin Akter, F M Javed Mehedi Shamrat, Pronab Ghosh, Xujuan Zhou, Mohd Yamani Idna Bin Idris, Kawsar Ahmed, Mohammad Ali Moni, Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques, Heliyon, 2024.

  13. Md. Moin Uddin, Md. Tanvir Hossain, Md. Arju Hossain, Asif Ahsan, Kamrul Hasan Shamim, Md. Arif Hossen, Md. Shahinur Rahman, Md Habibur Rahman, Kawsar Ahmed, Francis M. Bui, Fahad Ahmed Al-Zahrani, Unraveling the potential effects of non-synonymous single nucleotide polymorphisms (nsSNPs) on the Protein structure and function of the human SLC30A8 gene on type 2 diabetes and colorectal cancer: An In silico approach, Heliyon, 2024.

  14. Md. Fahim Sultan, Md. Shazzad Hossain Shaon, Tasmin Karim, Md. Mamun Ali, Md. Zahid Hasan, Kawsar Ahmed, Francis M. Bui, Li Chen, Vigneswaran Dhasarathan, Mohammad Ali Moni, MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification tool, Heliyon, 2024.

  15. F M Javed Mehedi Shamrat, Mohd Yamani Idna Idris, Xujuan Zhou, Majdi Khalid, Sharmin Sharmin, Zeseya Sharmin, Kawsar Ahmed,  Mohammad Ali Mon, PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI, Heliyon,2024.

  16. Rayhan Habib Jibon, Etu Podder, Md Ekhlasur Rahaman, Bellal Hossain & Kawsar Ahmed, Design and Investigation of a Novel Photonic Crystal Fiber Sensor for Detecting Human Body Protein: Amino Acids of Different Types, Sensing and Imaging, 2024.

  17. Rayhan Habib Jibon, Etu Podder, Md Ekhlasur Rahaman, Bellal Hossain & Kawsar Ahmed, Design and Investigation of a Novel Photonic Crystal Fiber Sensor for Detecting Human Body Protein: Amino Acids of Different Types, Sensing and Imaging, 2024.

  18. Md. Shazzad Hossain Shaon, Tasmin Karim, Md. Mamun Ali, Kawsar Ahmed, Francis M. Bui, Li Chen & Mohammad Ali Moni, A robust deep learning approach for identification of RNA 5-methyluridine sites, Scientific Reports, 2024.

  19. Tasmin Karim; Md. Shazzad Hossain Shaon; Md. Mamun Ali; Kawsar Ahmed; Francis M. Bui; Li Chen, StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification, IEEE Transactions on Artificial Intelligence, 2024

  20. Md. Ashikur Rahman, Md. Mamun Ali, Kawsar Ahmed, Imran Mahmud, Francis M. Bui, Li Chen, Santosh Kumar, Mohammad Ali Moni, DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model, Results in Engineering, 2024.

  21. Mohammad Khursheed Alam, Md. Faruk Hosen, Kiran Kumar Ganji, Kawsar Ahmed, Francis M. Bui, Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease, Journal of Genetic Engineering and Biotechnology, 2024.

  22. Sadia Sultana Chowa, Sami Azam, Israt Jahan Payel, Inam Ullah Khan, Sidratul Montaha, Md. Zahid Hasan, Mirjam Jonkman, A Low Complexity Efficient Deep Learning Model: An Automated Approach to Retinal Disease Diagnosis, Applied Intelligence, 2024,

  23. S. Montaha, S. Azam, Chowa, S.S., Islam Bhuiyan MdR, Mirjam Jonkman. Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network. Digital Health, 2024

  24. Shakil Rana, Md Jabed Hosen, Tasnim Jahan Tonni, Md Awlad Hossen Rony, Kaniz Fatema, Md Zahid Hasan, Md Tanvir Rahman, Risala Tasin Khan, Tony Jan, Md Whaiduzzaman, “DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features”, Sensors 2024, 24(9), 2830

  25. Akter, Shamima, F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Asif Karim, and Sami Azam. 2021. "COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images" Biology 10, no. 11: 1174

  26. Shamrat, F. M. Javed Mehedi, Sami Azam, Asif Karim, Rakibul Islam, Zarrin Tasnim, Pronab Ghosh, and Friso De Boer. 2022. "LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images" Journal of Personalized Medicine 12, no. 5: 680.

  27. Ghosh P, Azam S, Quadir R, Karim A, Shamrat FMJM, Bhowmik SK, Jonkman M, Hasib KM and Ahmed K (2022) SkinNet-16: A deep learning approach to identify benign and malignant skin lesions. Front. Oncol. 12:931141. doi: 10.3389/fonc.2022.931141

  28. P. Ghosh et al., "Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques," in IEEE Access, vol. 9, pp. 19304-19326, 2021

  29. Al Mahmud, Abdullah and Karim, Asif and Ullah Khan, Inam and Ghosh, Pronab and Azam, Sami and Haque, Enamul. A Robust Deep Learning based Framework for High-Precision Detection of Liver Disease. 2022, isbn 9781450396349, Association for Computing Machinery

  30. Montaha, Sidratul, Sami Azam, Abul Kalam Muhammad Rakibul Haque Rafid, Pronab Ghosh, Md. Zahid Hasan, Mirjam Jonkman, and Friso De Boer. 2021. "BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images" Biology 10, no. 12: 1347.

  31. S. Montaha, S. Azam, A. K. M. R. H. Rafid, M. Z. Hasan, A. Karim and A. Islam, "TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study," in IEEE Access, vol. 10, pp. 60039-60059, 2022

  32. Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Sayma Islam, Pronab Ghosh, Mirjam Jonkman. A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity. August 4, 2022

  33. Inam Ullah Khan, Sami Azam, Sidratul Montaha, Abdullah Al Mahmud, A.K.M. Rakibul Haque Rafid, Md. Zahid Hasan, Mirjam Jonkman. An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification, Intelligent Systems with Applications, Volume 16, 2022, 200147, ISSN 2667-3053,

  34. Montaha Sidratul, Azam Sami, Rafid A. K. M. Rakibul Haque, Hasan Md. Zahid, Karim Asif, Hasib Khan Md., Patel Shobhit K., Jonkman Mirjam, Mannan Zubaer Ibna. MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique. Frontiers in Medicine, Volume 9, 2022, 2296-858X

  35. Fatema, K.; Montaha, S.; Rony, M.A.H.; Azam, S.; Hasan, M.Z.; Jonkman, M. A Robust Framework Combining Image Processing and Deep Learning Hybrid Model to Classify Cardiovascular Diseases Using a Limited Number of Paper-Based Complex ECG Images. Biomedicines 2022, 10, 2835

  36. Rafid, A. K. M. Rakibul Haque, Sami Azam, Sidratul Montaha, Asif Karim, Kayes Uddin Fahim, and Md. Zahid Hasan. 2022. "An Effective Ensemble Machine Learning Approach to Classify Breast Cancer Based on Feature Selection and Lesion Segmentation Using Preprocessed Mammograms" Biology 11, no. 11: 1654

  37. M. A. K. Raiaan et al., "A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images," in IEEE Access, vol. 11, pp. 42361-42388, 2023,

  38. Islam Bhuiyan MdR, Azam S, Montaha S, et al. Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation. DIGITAL HEALTH. 2023;9

  39. Khan, I.U.; Raiaan, M.A.K.; Fatema, K.; Azam, S.; Rashid, R.u.; Mukta, S.H.; Jonkman, M.; De Boer, F. A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy. Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time. Biomedicines 2023, 11, 1566.

  40. Azam, S.; Rafid, A.K.M.R.H.; Montaha, S.; Karim, A.; Jonkman, M.; De Boer, F. Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung Diseases. Biomedicines 2023, 11, 133.

  41. Sami Azam, Sidratul Montaha, Kayes Uddin Fahim, A.K.M. Rakibul Haque Rafid, Md. Saddam Hossain Mukta, Mirjam Jonkman. Using feature maps to unpack the CNN ‘Black box’ theory with two medical datasets of different modality, Intelligent Systems with Applications, Volume 18, 2023, 200233, ISSN 2667-3053

  42. Montaha, S., Azam, S., Rakibul Haque Rafid, A.K.M. et al. Brain Tumor Segmentation from 3D MRI Scans Using U-Net. SN COMPUT. SCI. 4, 386 (2023).

  43. Khan, Inam Ullah, Mohaimenul Azam Khan Raiaan, Kaniz Fatema, Sami Azam, Rafi ur Rashid, Saddam Hossain Mukta, Mirjam Jonkman, and Friso De Boer. 2023. "A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time" Biomedicines

  44. Shamrat, F.J.M., Shakil, R., Akter, B., Ahmed, M.Z., Ahmed, K., Bui, F.M. and Moni, M.A., 2024. An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection. Healthcare Analytics, 5, p.100303

  45. Hossain, A., Ahsan, A., Hasan, I., Sohel, Khan, A., Somadder, P.D., Monjur, S., Miah, S., Kibria, K.K., Ahmed, K. and Rahman, H., 2024. Screening out molecular pathways and prognostic biomarkers of ultraviolet-mediated melanoma through computational techniques. The International Journal of Biological Markers

  46. Tuaimah, A.M., Tahhan, S.R., Taher, H.J., Ahmed, K. and Al-Zahrani, F.A., 2024. Multi analyte detection based on D-shaped PCF sensor for glucose concentrations sensing. Optical and Quantum Electronics

  47. Hossain, M.I., Jahan, S., Al Asif, M.R., Samsuddoha, M. and Ahmed, K., 2023. Detecting tomato leaf diseases by image processing through deep convolutional neural networks. Smart Agricultural Technology,

  48. Sutradhar, A., Al Rafi, M., Shamrat, F.J.M., Ghosh, P., Das, S., Islam, M.A., Ahmed, K., Zhou, X., Azad, A.K.M., Alyami, S.A. and Moni, M.A., 2023. BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients.

  49. Rahman, M.A., Abdulrazak, L.F., Ali, M.M., Mahmud, I., Ahmed, K. and Bui, F.M., 2023. Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics. Algorithms

  50. Tahhan, S.R., Mastin, A., Yakasai, I.K., Atieh, A., Ahmed, K., Bui, F.M. and Al-Zahrani, F.A., 2023. Highly nonlinear tellurite photonic crystal fiber for supercontinuum generation: Design and quantitative performance analysis. Alexandria Engineering Journal,

  51. M. Assaduzzaman, A. A. Mamun and M. Z. Hasan, "Early Prediction of Maternal Health Risk Factors Using Machine Learning Techniques," 2023 International Conference for Advancement in Technology (ICONAT), Goa, India, 2023, pp. 1-6, doi: 10.1109/ICONAT57137.2023.10080700

  52. Kaniz Fatema, Md Awlad Hossen Rony, Sami Azam, Md Saddam Hossain Mukta, Asif Karim, Md Zahid Hasan, Mirjam Jonkman. Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images. Heliyon, Volume 9, Issue 11, November 2023, e21703. https://doi.org/10.1016/j.heliyon.2023.e21703

  53. Shahed Hossain, Sami Azam, Sidratul Montaha, Asif Karim, Sadia Sultana Chowa, Chaity Mondol, Md Zahid Hasan, Mirjam Jonkman, Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model, Heliyon, Volume 9, Issue 11, 2023, e21369, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2023.e21369

  54. Chowa, S.S., Azam, S., Montaha, S. et al. Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features. J Cancer Res Clin Oncol 149, 18039–18064 (2023). https://doi.org/10.1007/s00432-023-05464-w

  55. Mariam Akter, Nishat Sultana, Sheak Rashed Haider Noori, Md Zahid Hasan, “Bangla song genre recognition using artificial neural network”, IAES International Journal of Artificial Intelligence (IJ-AI) Vol. 13, No. 2, June 2023, pp. 2413∼2422 ISSN: 2252-8938, DOI: 10.11591/ijai.v13.i2.pp2413-2422

  56. Showmick Guha Paul, Arpa Saha, Md Zahid Hasan, Sheak Rashed Haider Noori, Ahmed Moustafa, A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions, Page(s): 15145 - 15170, IEEE access, January 2024, DOI: 10.1109/ACCESS.2024.3354809

  57. Tasmin Karim, Md Shazzad Hossain Shaon, Md Fahim Sultan, Md Zahid Hasan, Abdulla-Al Kafy, ANNprob-ACPs: A novel anticancer peptide identifier based on probabilistic feature fusion approach, Computers in Biology and Medicine, https://doi.org/10.1016/j.compbiomed.2023.107915.

  58. Md Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md Mehedi Hassan, Abdullah Al Mahmud, AKM Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam, “Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images”, Page(s): 31117 - 31135, IEEE Access, 26 February 2024, DOI: 10.1109/ACCESS.2024.3369900

  59. Tasnim Jahan Tonni, Shakil Rana, Kaniz Fatema, Asif Karim, Md Awlad Hossen Rony, Md Zahid Hasan, Md Saddam Hossain Mukta, Sami Azam, An Automated Histopathological Colorectal Cancer Multi‐Class Classification System Based on Optimal Image Processing and Prominent Features, Computational Intelligence, 2024

  60. Md Fahim Sultan, Md Shazzad Hossain Shaon, Tasmin Karim, Md Mamun Ali, Md Zahid Hasan, Kawsar Ahmed, Francis M Bui, Li Chen, Vigneswaran Dhasarathan, Mohammad Ali Moni, Leveraging neural network model for development of antifungal peptide identification tool, Heliyon Journal, 2024

  61. Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Israt Jahan Payel, Asif Karim, Inam Ullah Khan, Sidratul Montaha, Md Zahid Hasan, Mirjam Jonkman, Sami Azam, A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis, Journal of Healthcare Informatics Research, 2025

  62. Sadia Islam Tonni, Md Alif Sheakh, Mst Sazia Tahosin, Md Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md Tanvir Rahman, Risala Tasin Khan, M Shamim Kaiser, Mohammad Ali Moni, A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis, Advanced Intelligent Systems, Wiley, 2025

  63. Sidratul Montaha1 , *Sami Azam2 , A.K.M. Rakibul Haque Rafid3 , Md. Zahid Hasan4 , Asif Karim5 , Ashraful Islam6 "TD-CNN-LSTM: A Hybrid approach combining CNN and LSTM to classify brain tumor on 3D MRI scans performing ablation study"IEEE Access

  64. Sidratul Montaha ,Sami Azam ,,Abul Kalam Muhammad Rakibul Haque Rafid ,Pronab Ghosh ,Md. Zahid Hasan ,Mirjam Jonkman and Friso De Boer "BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images" in Mdpi Biology

  65. Montaha S, Azam S, Rafid AKMRH, Hasan MZ, Karim A, Hasib KM, Patel SK, Jonkman M and Mannan ZI (2022) MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique. Front. Med. 9:924979. doi: 10.3389/fmed.2022.924979