Department of Computer Science and Engineering
Dr. Md Zahid Hasan  Associate Professor
Name :
Dr. Md Zahid Hasan
Designation
Associate Professor  
Department
Department of Computer Science and Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/cse/zahid-hasan.html
E-mail
zahid.cse@diu.edu.bd
Phone
+8809617901233
Cell-Phone
+88 01672580748
  • PhD Dept. of Computer Science and Engineering, Jahangir Nagar University (JU)
  • M.Sc. in Information and Communication Engineering, University of Rajshahi, Bangladesh
  • B.Sc. in Information and Communication Engineering, University of Rajshahi, Bangladesh
  1. Daylong Criteria-wise SAR Review Session with External Expert, organized by the Department of CSE and IQAC, Daffodil International University (DIU), held on 10 April 2026.
  2. Workshop on Continuous Quality Improvement (CQI) in Higher Education, facilitated by Prof. Dr. Salekul Islam, North South University (NSU), organized by IQAC, Daffodil International University, held on 17 January 2026.
  3. Workshop on Continuous Quality Improvement (CQI) in Higher Education, facilitated by Prof. Dr. Nahreen Majed, North South University (NSU), organized by IQAC, Daffodil International University, held on 13 January 2026.
  4. Workshop on Addressing Complex Engineering Problem (CEP) and Complex Engineering Activities (CEA) in CSE Lab Courses, organized by the Department of CSE, Daffodil International University, held on 05 January 2026.
  1. Participated in a 3-day workshop on Introduction to the inclusive education toolkit supporting disadvantaged and excluded individuals and communities in Bangladesh, supported by funding from the British Council’s and Nottingham Trent University, UK, 22-24 June 2025.
  2. A Workshop for the Academic Staff of the Daffodil International University (Blended Learning), Daffodil International University, 16/04/2018 -19/04/2018
  3. Participated in a workshop “How to prepare a good research proposal” organized by the Anglia Ruskin University, December 2017.
  4. Workshop on Interactive Teaching and Learning,Daffodil International University, January, 2016
  5. Training Course on Mobile Application Development (National Mobile Development Awareness & Capacity Building Program of Ministry of Information & Communication Technology (MoICT), University of Asia Pacific , January 2014
  6. Smart Apps Development Training for University Teachers (PhoneGap and Other Platforms” Supported by Ministry of Information & Communication Technology (MoICT) and organized by Daffodil International University (DIU), Daffodil International University, 2014
  7. Leadership Training at Green University of Bangladesh, Green University of Bangladesh, June 2015
  8. Workshop on Interactive Teaching and Learning, Green University Center of Excellence for Teaching & Learning (GUCETL), Green University of Bangladesh, June 2013
  9. Training course on Networking (Windows 2003 & Redhat Linux), RUET, Rajshahi 2006

 

PROFESSIONAL SERVICE

  1. Session Chair at the 4th International Conference on Computing Advancements (ICCA 2026)
  2. Session Chair at IEEE COMPAS 2026 Conference at Dhaka University campus, to be held on 9–10 October 2026 
  3. Organizing chair, International Conference on Intelligent Data Analysis and Applications (IDAA 2025)
  4. Session chair, 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025)
  5. Session chair, 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE 2025)
  6. Session Chair, 2nd International Conference on Machine Intelligence and Emerging Technologies (MIET 2024)
  7. Session Chair, International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2023)
  8. Judge in Project Showcasing and Poster Presentation- AI summit in MIST, 2025.
  9. Session Chair, 6th International conference on sustainable technologies for industry 5.0, (STI 2024)
  10. Session Chair, IEEE 2nd International Conference on Computing, Applications, and Systems (COMPAS 2025)
  11. Session chair, 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023)
  12. Session Chair, IEEE International Conference on Computing, Applications, and Systems (COMPAS 2024)
  13. Judge, 4th International Robo Tech Olympiad-2024.
  14. Judge in Project Showcase, Daffodil AI celebration 2023. 
  15. Session Co-chaired, Technical Session-Bioinformatics and Biomedical Engineering, 7th International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET-2022)

AWARDED RESEARCH PROJECTS

  1. A Non-Clinical Data-Driven Machine Learning Framework for Early Detection and Risk Assessment of Depression in University Students, Awarded by the Ministry of Science and Technology, Bangladesh, Project category: Applied Science and Research. Role: PI. 
  2. AI-Driven Predictive Model for Early Detection of Cardiovascular Risk in Bangladeshi Adults" Awarded by the Bangladesh Medical Research Council (BMRC), Ref-BMRC/Revenue/Rescarch Grant/2026/646(01-167), Role: PI.
  3. AI Powered Braille Assistance, Accesible Tutoring and Inclusive Learning technologies for students with visual impairments in Bangladesh, Research work under the Research & Documentation Division, NAEM, Ministry of Education in FY 2026-27

Data Mining, Machine Learning Technique, Advanced Data Analytics, Cryptography and Information Security, Database Management System, Object Oriented Programming I and II, Digital Image Processing, Microprocessor and Microcomputers, Decision Support System, Artificial Intelligence, Web Engineering, etc.

Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=58075180600

ORCID ID: https://orcid.org/0000-0002-0132-1717

ResearchGate ID: https://www.researchgate.net/profile/Md_Hasan283

Google Scholar:  https://scholar.google.com/citations?user=Uq3O034AAAAJ&hl=en

LinkedIn:  https://www.linkedin.com/in/zahidhasan/

 

 

PUBLISHED JOURNAL ARTICLES

 

  1. Ibrahim Patwary Khokan, Tanvir Mahtab Tapu, Md. Shahriar Shakil, Md. Zahid Hasan, Sheak Rashed Haider Noori, AKM Azad, Salem A. Alyami, Mohammad Ali Moni, FedGNN: Decentralized federated GNN with gradient masking and dynamic feature pruning for heterogeneous ECG classification, Expert Systems with Applications, Volume 334, 2027, https://doi.org/10.1016/j.eswa.2026.134644.
  2. Preanto, S.A., Bijoy, M.H.I., Paul, Zahid Hasan. A systematic review of machine learning and explainable artificial intelligence for electrocardiogram-based cardiovascular disease prediction. Discover Artificial Intelligence 6, 977 (2026). https://doi.org/10.1007/s44163-026-02070-w
  3. Morium Akter, Md Rahad Islam Bhuiyan, Zahid Hasan, LesionGraph-Net: A clinically motivated Graph Neural Network for accurate skin cancer diagnosis using lesion-focused features, Intelligence-Based Medicine, Volume 15, 2026, https://doi.org/10.1016/j.ibmed.2026.100464.
  4. Sumaya Mustofa, Yousuf Rayhan Emon, Md․Zahid Hasan, Asif Karim, A novel noise-resilient quantum-classical vision transformer with quantum state tomography for high-precision lung cancer classification, Computers and Electrical Engineering, Volume 138, 2026, 111287, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2026.111287.
  5. Md Injamul Haque, Saiful Islam, Sadia Sultana Chowa, Md Awlad Hossen Rony, Kaniz Fatema, Md Mehedi Hassan, Md Rafiqul Islam, Md Zahid Hasan, Asif Karim, Sami Azam, Attention-driven deep object detection for improved gallbladder cancer diagnosis from ultrasound images, Engineering Applications of Artificial Intelligence, Volume 176, 2026, https://doi.org/10.1016/j.engappai.2026.114757.
  6. Md Assaduzzaman, Md. Hasan Imam Bijoy, Mohammad Jahangir Alam, Md Zahid Hasan, Nafiz Fahad, Tze Hui Liew, Ohidujjaman, An integrated meta-learning and explainable analytics approach for clinical thyroid disease classification, Healthcare Analytics,Volume 9, 2026, https://doi.org/10.1016/j.health.2026.100461.
  7. Zahid Hasan, Md. Shahriar Shakil, Tasmin Karim, Md. Shazzad Hossain Shaon, Muhammad Ali Abdullah Almoyad, Md. Tanvir Rahman, Risal, M. Shamim Kaiser, and Mohammad Ali Moni, A Comparative Study of Machine Learning Models for Identification of Antiviral Peptides Using Various Encoded Features, 2026, IEEE Transactions on Computational Biology and Bioinformatics, doi: 10.1109/TCBBIO.2026.3654071. (IF: 3.4, Cite Score: 9.7, Q2)
  8. T. Ritu, S. Hossain, Md. Zahid Hasan, S. Bosak, A. Hanip and T. Bhuiyan, "Interpretable CNN-LSTM Framework for Multiclass Neuromuscular Disorder Classification Using Clinically Relevant EMG Features," in IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2025.3639453. (Q1, Cite Score: 6.4)
  9. Ibrahim Patwary khokan, Tasnim Jahan Tonni, Md. Awlad Hossen Rony, Kaniz Fatema, Md. Zahid Hasan, Framework for enhanced respiratory disease identification with clinical handcrafted features, Computers in Biology and Medicine, Volume 195, 2025, 110588, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2025.110588. (Q1, Cite Score: 13)
  10. Saiful Islam, Md. Injamul Haque, Mushrat Jahan, Zahid Hasan, Md. Awlad Hossen Rony, Kaniz Fatema, Taslima Ferdaus Shuva, Muhammad Ali Abdullah Almoyad, Abdullah Al-Mamun Bulbul, Md. Tanvir Rahman, Md Whaiduzzaman, Touhid Bhuiyan, Mohammad Ali Moni, A region-of-interest embedded graph neural architecture for gallbladder cancer detection, Results in Engineering, Volume 26, 2025, 104624, ISSN 2590-1230, https://doi.org/10.1016/j.rineng.2025.104624. (Q1, IF: 7.9, Cite Score: 7.3)
  11. Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, 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 Journal, Wiley, 05 February 2025 https://doi.org/10.1002/aisy.202400495 (Q1, IF: 6.1, Cite score: 4.7)
  12. Chowa, S.S., Bhuiyan, M.R.I., Payel, I.J. , Zahid Hasan, A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis. Journal of Healthcare Informartics Res 9, 1–40 (2025). https://doi.org/10.1007/s41666-024-00182-5. (Q1, IF: 5.1)
  13. Md Zahid Hasan, Md Awlad Hossen Rony, Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Ahmed A Moustafa, GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images, Scientific Reports, 2025. https://doi.org/10.1038/s41598-025-89232-5 (Q1, IF:3.9)
  14. Samya Acharja, Md Zahid Hasan, Farjana Haque Chamok, Kayes Uddin Fahim, Taslima Ferdaus Shuva, Abdullah Al-Mamun Bulbul, Risala Tasin Khan, Md Tanvir Rahman, M Shamim Kaiser, Mufti Mahmud, Mohammad Ali Moni, OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis, Cognitive Computation, 2025. https://doi.org/10.1007/s12559-025-10451-z (Q1, IF: 4.3)
  15. 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, https://doi.org/10.1016/j.heliyon.2024.e37820 (Q1, IF: 3.6, Cite score: 4.1).
  16. 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 https://doi.org/10.1111/coin.70007 (Q2, Cite Score: 7.4).
  17. Radiful Islam, Rashik Shahriar Akash, Md Awlad Hossen Rony, Md Zahid Hasan, SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction, Array Journal, Vol. 24, 2024. https://doi.org/10.1016/j.array.2024.100370. (Q1, IF: 4.5, Cite score; 10.3)
  18. Shayla Sharmin, Mohammad Riadur Rashid, Tania Khatun, Md Zahid Hasan, Mohammad Shorif Uddin, A dataset of color fundus images for the detection and classification of eye diseases, Data in Brief, 2024.
  19. Oahidul Islam, Md Assaduzzaman, Md Zahid Hasan, An explainable AI-based blood cell classification using optimized convolutional neural network, Journal of Pathology Informatics, Vol. 15, 2024. https://doi.org/10.1016/j.jpi.2024.100389 (Q1 , Cite score: 6.3)
  20. Md Shazzad Hossain Shaon, Tasmin Karim, Md Shahriar Shakil, Md Zahid Hasan, A comparative study of machine learning models with LASSO and SHAP feature selection for breast cancer prediction, Healthcare Analytics, Vol-6, 2024. https://doi.org/10.1016/j.health.2024.100353 (Q1, Cite score: 11.2)
  21. Amira Mahjabeen, Md Zahid Hasan, Md Tanvir Rahman, Md Aminul Islam, Risala Tasin Khan, M Shamim Kaiser, Genetic insights into the connection between pulmonary TB and non-communicable diseases: An integrated analysis of shared genes and potential treatment targets, Journal Plos One, vol 19 (10), 2024. https://doi.org/10.1371/journal.pone.0312072 (Q1, IF: 2.6)
  22. Abdullah Al Mahmud, Sami Azam, Inam Ullah Khan, Sidratul Montaha, Asif Karim, Aminul Haque, Md Zahid Hasan, Mark Brady, Ritu Biswas, Mirjam Jonkman, SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time, Neural Computing and Applications, vol 36 (30), 2024. https://doi.org/10.1007/s00521-024-10225-y (Q1)
  23. 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, vol 10 (18), 2024. https://doi.org/10.1016/j.heliyon.2024.e37820 (Q1, IF: 3.6, Cite Score: 4.1)
  24. Tasnim Bill Zannah, Md Abdulla-Hil-Kafi, Md Alif Sheakh, Md Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Md Tanvir Rahman, Risala Tasin Khan, M Shamim Kaiser, Md Whaiduzzaman, Bayesian optimized machine learning model for automated eye disease classification from fundus images, Journal of Computation, Vol. 12 (9), 2024. https://doi.org/10.3390/computation12090190 (Q2, IF: 1.9, Cite Score: 4.1)
  25. Mushrat Jahan, Md Zahid Hasan, Ismot Jahan Samia, Kaniz Fatema, Md Awlad Hossen Rony, Mohammad Shamsul Arefin, Ahmed Moustafa, KOA-CCTNet: An Enhanced Knee Osteoarthritis Grade Assessment Framework Using Modified Compact Convolutional Transformer Model, IEEE Access, 2024.doi: 1109/ACCESS.2024.3435572. (Q1, IF: 3.6, Cite Score: 9)
  26. 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, Volume 14 (1), 2024. https://doi.org/10.1038/s41598-024-63461-6 (Q1, IF: 3.9)
  27. 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, Volume 24 (9), pp. 2830, 2024.https://doi.org/10.3390/s24092830 (Q1, IF: 3.5, Cite Score: 8.2)
  28. 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, Fast and efficient lung abnormality identification with explainable AI: A comprehensive framework for chest CT scan and X-ray images, IEEE Access, 31117-31135, 2024. DOI: 10.1109/ACCESS.2024.3369900, (Q1, IF: 3.6)
  29. 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 169, 107915, 2024. https://doi.org/10.1016/j.compbiomed.2023.107915 (Q1, Cite Score: 13)
  30. 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, IEEE Access, 2024 doi: 10.1109/ACCESS.2024.3354809 (Q1, IF: 3.6, Cite Score: 9)
  31. 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 40, 2024. https://doi.org/10.1111/coin.70007 (Q2, IF: 1.7 Cite Score: 7.4)
  32. Sadia Sultana Chowa, Sami Azam, Sidratul Montaha, Israt Jahan Payel, Md Rahad Islam Bhuiyan, Md Zahid Hasan, Mirjam Jonkman, Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features, Journal of Cancer Research and Clinical Oncology, 149 (20), 18039-18064, 2023. https://doi.org/10.1007/s00432-023-05464-w (Q1, IF: 3.1)
  33. Md Rahad Islam Bhuiyan, Sami Azam, Sidratul Montaha, Risul Islam Jim, Asif Karim, Inam Ullah Khan, Mark Brady, Md Zahid Hasan, Friso De Boer, Md Saddam Hossain Mukta, Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation, Digital Health 9, 2023. https://doi.org/10.1177/20552076231215 (Q2, IF: 3.7)
  34. 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 9 (11), 2023. https://doi.org/10.1016/j.heliyon.2023.e21703 (Q1, IF: 3.6, Cite Score: 4.1)
  35. 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 9 (11), 2023. https://doi.org/10.1016/j.heliyon.2023.e21369 (Q1, IF: 3.6, Cite Score: 4.1)
  36. Mariam Akter, Nishat Sultana, Md Zahid Hasan, Sheak Rashed Haider Noori “Bangla song genre recognition using artificial neural network”, IAES International Journal of Artificial Intelligence (IJ-AI) 13 (2), 2413-2422, 2023. http://doi.org/10.11591/ijai.v13.i2.pp2413-2422 (Q2, Cite Score: 3.2)
  37. S Montaha, S Azam, AKM Rakibul Haque Rafid, MZ Hasan, A Karim, Brain Tumor Segmentation from 3D MRI Scans Using U-Net”, SN Computer Science, 2023. https://doi.org/10.1007/s42979-023-01854-6
  38. AK MRH Rafid, S Azam, S Montaha, A Karim, KU Fahim, MZ Hasan, An effective ensemble machine learning approach to classify breast cancer based on feature selection and lesion segmentation using preprocessed mammograms, Biology, MDPI, 2022. https://doi.org/10.3390/biology11111654 (Q1, IF: 3.5)
  39. S Montaha, S Azam, AKM Rafid, MZ Hasan, A Karim, KM Hasib, SK Patel, “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, 2022. https://doi.org/10.3389/fmed.2022.924979 (Q1, IF: 3)
  40. S Montaha, S Azam, AKMRH Rafid, MZ Hasan, A Karim, A Islam, “Timedistributed-cnn-lstm: A hybrid approach combining cnn and lstm to classify brain tumor on 3d mri scans performing ablation study”, IEEE Access, 2022. doi: 10.1109/ACCESS.2022.3179577 (Q1, IF: 3.6, Cite Score: 9)
  41. MZ Hasan, MS Uddin, MS Islam, “An expert system for selecting optimal cloud-service provider” International Journal of Information Technology 14 (3), 1555-1563, 2022. DOI:10.1007/s41870-021-00822-8
  42. S Montaha, S Azam, AKMRH Rafid, P Ghosh, MZ Hasan, M Jonkman, BreastNet18: A high accuracy fine-tuned VGG16 model evaluated using ablation study for diagnosing breast cancer from enhanced mammography images, Biology, MDPI, 2021. https://doi.org/10.3390/biology10121347 (Q1, IF: 3.5)
  43. Md Zahid Hasan, Shakhawat Hossain, Md. Arif Rizvee and Md. Shohel Rana, “Content based Document Classification using Soft Cosine Measure” International Journal of Advanced Computer Science and Applications(IJACSA), 10(4), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100464

 

 

PUBLISHED CONFERENCE ARTICLES

  1. Tanjina Ahmed Tuly and Tanjid Ahammed Shafin and Jahangir Alam Tamal and Jamil Hasan and Md Zahid Hasan and Md. Mashruf Hasan, Self-Distilled Vision Transformer (SD-ViT) to Classify Brain Tumors using MRI images, Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025), pages 88-100, doi: https://doi.org/10.2991/978-94-6239-664-7_8
  2. Md Aminul Islam, Amira Mahjabeen, Md Zahid Hasan, Touhid Bhuiyan, Sayed Asaduzzaman, A Proposed Sequential Network Analysis for Identification of Hub Genes for Therapeutics in Tuberculosis and Its Overlaying Non-Communicable Diseases, Book of Machine Learning for Healthcare Informatics, 2026, Pages 13, Chapman and Hall/CRC.
  3. Biswas, S., Mostafizur Rahman Zahid, M., Sifat, M., Majidul Kabir, , Zahid Hasan, M., Hassan Imam Bijoy, M. (2026). Next-Word Prediction in Bengali Poetry: Evaluating Transformer Architectures and BanglaBERT with Perplexity, BLEU, and Human Evaluations for Assistive Poetic Generation. In: Arefin, M.S., Kaiser, M.S., Bhuiyan, T., Based, M.A., Ray, K. (eds) Proceedings of the 3rd International Conference on Big Data, IoT and Machine Learning. BIM 2025. Lecture Notes in Networks and Systems, vol 1798. Springer, Cham. https://doi.org/10.1007/978-3-032-15346-3_8
  4. A. Tuly, T. A. Shafin, M. Z. Hasan, M. H. I. Bijoy, M. S. Arefin and M. S. Uddin, "A Mamdani Fuzzy Inference System for Comprehensive Diabetes Risk Evaluation," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-7, doi: https://doi.org/10.1109/ECCE64574.2025.11013995.
  5. Ahmed, P. Saha, M. S. I. K. Hamim, I. A. Alvi, M. Z. Hasan and M. H. I. Bijoy, "3D Reconstruction of Colonic Polyps: A Methodology for Improved Visualization and Analysis," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-7, doi: https://doi.org/10.1109/ECCE64574.2025.11013942.
  6. Al Noman, R. J. Riti, M. Z. Hasan, M. H. I. Bijoy, M. S. Uddin and M. S. Arefin, "Predicting Heat Stroke Risk: A Clinical Decision Support System using Fuzzy Association Mining Approach," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-7, doi: https://doi.org/10.1109/ECCE64574.2025.11012974.
  7. J. Riti, M. Azmira Shekh, M. R. Ashraf, M. Hasan Imam Bijoy, M. Z. Hasan and R. Masnun, "Weather Data Driven Dengue Risk Zone Prediction using Machine Learning Algorithms," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: https://doi.org/10.1109/ECCE64574.2025.11013910.
  8. A. S. Nirob, P. Bishshash, T. Khatun, S. Sharmin, M. Z. Hasan and M. S. Arefin, "Attention-Based Multi-Scale Fusion for Brain Tumor Classification with Explainable AI," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: https://doi.org/10.1109/ECCE64574.2025.11014033.
  9. Hossain, M. Z. Hasan, et al., "GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection," 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 2024, pp. 378-387, doi: https://doi.org/10.1109/ICDMW65004.2024.00055.
  10. Md Zahid Hasan, Shahed Hossain, Risul Islam Jim, Abdullah Al-Mamun Bulbul, Md Tanvir Rahman, Mohammad Ali Moni, EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound Images, Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, pp 26-34, 2024. ACM
  11. A. Tuly, T. A. Shafin, Md. Zahid Hasan, M. H. I. Bijoy, M. S. Arefin and M. S. Uddin, "A Mamdani Fuzzy Inference System for Comprehensive Diabetes Risk Evaluation," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-7, doi: 10.1109/ECCE64574.2025.11013995. IEEE Xplore
  12. A. S. Nirob, P. Bishshash, T. Khatun, S. Sharmin, Md. Zahid Hasan and M. S. Arefin, "Attention-Based Multi-Scale Fusion for Brain Tumor Classification with Explainable AI," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11014033. IEEE Xplore
  13. Ahmed, P. Saha, M. S. I. K. Hamim, I. A. Alvi, Md. Zahid Hasan and M. H. I. Bijoy, "3D Reconstruction of Colonic Polyps: A Methodology for Improved Visualization and Analysis," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-7, doi: 10.1109/ECCE64574.2025.11013942. IEEE Xplore
  14. Al Noman, R. J. Riti, Md. Zahid Hasan, M. H. I. Bijoy, M. S. Uddin and M. S. Arefin, "Predicting Heat Stroke Risk: A Clinical Decision Support System using Fuzzy Association Mining Approach," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-7, doi: 10.1109/ECCE64574.2025.11012974. IEEE Xplore
  15. J. Riti, M. Azmira Shekh, M. R. Ashraf, M. Hasan Imam Bijoy, Md. Zahid Hasan and R. Masnun, "Weather Data Driven Dengue Risk Zone Prediction using Machine Learning Algorithms," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11013910. IEEE Xplore
  16. I. Tanvir, A. Akter, T. Islam and Md. Zahid Hasan, "Redefining Bangla Text Processing with a New Stemming Methodology," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-5, doi: 10.1109/ECCE64574.2025.11013920. IEEE Xplore
  17. Mushrat Jahan, Ismot Jahan Samia, Kaniz Fatema, Md Awlad Hossen Rony, Md Zahid Hasan, Mohammad Shamsul Arefin, Md Abdul Baten, "A Robust Deep Learning Approach for Onion Leaf Disease Classification," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-7, doi: 10.1109/COMPAS60761.2024.10796714. IEEE Xplore
  18. R Moni, Md Zahid Hasan, M Shahriar Shakil, MJ Ferdous, MS Arefin, “An Ensemble-Based Machine Learning Approach to Identify SARS-CoV-2 Virus Infection by Analyzing S Protein Sequences”, International Conference on Big Data, IoT and Machine Learning, 441-453, 2023. Springer
  19. Antara Biswas, Musfiqur Rahman, Zahura Jebin Orin and Zahid Hasan, Bengali Functional Sentence Classification through Machine Learning Approch, in ICCCNT 21 conference, India. IEEE Xplore
  20. Md Rony, Dola Barai, Riad Riad and Zahid Hasan, Automated Foot and Mouth Disease Classification Using Transfer Learning-Based Deep Convolutional Neural Network, in ICCCNT 21 conference, India. IEEE Xplore
  21. Md Rony, Dola Barai, Riad Riad and Zahid Hasan, Cattle External Disease classification using Deep Learning TechniquesClassification using Deep Learning Techniques, in ICCCNT 21 conference, India. IEEE Xplore
  22. Thaharim Khan, Faisal Arafat, Aditya Rajbongshi, Dr. Sheak Rashed Haider Noori and Zahid Hasan, Optimal decision making for Deep learning based prediction with combinatorial optimization, in ICCCNT 21 conference, India. IEEE Xplore
  23. Sheikh Tonmoy, Habiba Khan Hiya, Md Zahid Hasan, K. M. Zubair Hasan and Nusrat Zahan, “Breast Cancer Prediction with Gaussian Process Using Anthropometric Parameters”, in ICCCNT 21 conference, India. IEEE Xplore
  24. Nusrat Zahan; Md Zahid Hasan; Md Abdul Malek; Sanjida Sultana Reya,"A Deep Learning-Based Approach for Edible, Inedible and Poisonous Mushroom Classification", 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), IEEE, 2021.
  25. Nahid Zeba, Zahid Hasan, Md Abdul Malek, Sanjida Sultana Reya, "A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques ", in ICREST conference. IEEE Xplore
  26. Md Abdul Malek, Sanjida Sultana Reya, Zahid Hasan, Shakhawat Hossain" A Crop Pest Classification Model Using Deep Learning Techniques", in ICREST conference. IEEE Xplore
  27. Mehadi Hassan, Martina Chakma and Md Zahid Hasan, “An AHP Approach for Cold Storage Warehouse Site Selection: A Case Study in Bangladesh “, in ICCCNT 20 conference, India. IEEE Xplore
  28. Nusrat Zahan and Zahid Hasan “Multi-attribute Decision Making Approach for Waste Bin Site Selection Problem: A case study in Dhaka City”, in ICCCNT 20 conference, India. IEEE Xplore
  29. Zahid Hasan, Devjoyti Aich, K. M. Zubair Hasan, Abdulla Al Zubair and Antora Deb Nath, A Deep Learning Approach for Recognizing Bengali Character Sign Language, in ICCCNT 20 conference, India. IEEE Xplore
  30. Al Hasan, Muhammad Ashfakur Rahman Arju, Md Rizvee and Saifuddin Mohammad Tareque, Md. Zahid Hasan, “Weather Forecasting for the North-Western region of Bangladesh: A Machine Learning Approach”, in ICCCNT 20 conference, India. IEEE
  31. Foysal Ahmed; Abu Raihan Choudhury; Aniruddha Rakshit; Zahid Hasan, An IoT Based System for Printing Braille Letter from Speech, in IEEE Tensymp 2020. IEEE Xplore
  32. Ashik Kumar Das, Md. Asif Iqbal, Bidhan Paul, Aniruddha Rakshit, Zahid Hasan, Classification of Succulent Plant Using Convolutional Neural Network , ICONCS 2020, DIU, Springer.
  33. Shakhawat Hossain, Zahid Hasan, Aniruddha Rakshit, Processing with Patients’ Statements: An Advanced Disease Diagnosis Technique, ICONCS 2020, DIU, Springer.
  34. Zahid Hasan; Shadman Shoumik; Nusrat Zahan , Automated Prediction of Phishing Websites Using Deep Convolutional Neural Network, in IC4ME2, Rajshahi University. IEEE Xplore
  35. Zahid Hasan; Shadman Shoumik; Nusrat Zahan, Integrated Use of Rough Sets and Artificial Neural Network for Skin Cancer Disease Classification, in IC4ME2, Rajshahi University.
  1. Azizul Hakim; Md. Zahid Hasan; Md. Mahabur Alam; Md. Mehadi Hasan; Mohammad Nurul Huda , An Efficient Modified Bagging Method for Early Prediction of Brain Stroke, in IC4ME2, 2019, Rajshahi University. IEEE Xplore
  2. Md Zahid Hasan; M. Zubair Hasan; Shakhawat Hossain; Abdullah Al Mamun; Md Assaduzzaman , Handwritten Changma Numerals Recognition Using Capsule Networks, 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), IEEE Xplore.
  3. Zahid Hasan; Md. Sazzadur Ahamed; Aniruddha Rakshit; K. M. Zubair Hasan, Recognition of Jute Diseases by Leaf Image Classification using Convolutional Neural Network, Published in ICCNT conference 2019, IEEE Xplore
  4. Zahid Hasan,Kh. Tanzila Rahman, Rokeya Islam Riya, K. M. Zubair Hasan, Nusrat Zahan, A CNN Based Classification Model for Recognizing Visual Bengali Font, in IJCCI Conference, 2019, DIU, Springer
  5. Zahid Hasan,Abdus Sattar, Arif Mahmud, Khalid Hasan Talukder, A Multifactor Authentication model to mitigate the Phishing Attack of E-Service Systems from Bangladesh Perspective. Emerging Research in Computing, Information, Communication and Applications pp 75-86, vol 882, 2018. Springer Link
  6. M. Zubair Hasan, Md. Zahid Hasan, Performance Evaluation of Ensemble based Machine Learning Methods for detecting CKD disease. Emerging Research in Computing, Information, Communication and Applications pp 415-426 vol. 882, 2018 Springer Link
  7. Mahidul Islam; Md. Zahid Hasan; Rifat Ali Shaon , A Novel Approach for Client Side Encryption in Cloud Computing, 2018. IEEE Xplore
  8. M. Zubair Hasan; Shourob Datta; Md Zahid Hasan; Nusrat Zahan, Automated Prediction of Heart Disease Patients using Sparse Discriminant Analysis, 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), IEEE Xplore
  9. Zahid Hasan, K.M. Zubair Hasan, Abdus Sattar, Burst Header Packet Flood Detection in Optical Burst Switching Network Using Deep Learning Model, in the conference of ICACC 2018, Keralla, India. Springer Link
  10. Islam, Mohammad Shahidul; Auwatanamongkol, Surapong; Hasan, Md.Zahid, "Boosting facial expression recognition using LDGP: Local Distinctive Gradient Pattern," Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on , vol., no., pp.1,5, 10-12 April 2014 , doi: 10.1109/ICEEICT.2014.6919069.
  11. M.Shahriar Sazzad, Sabrin Islam , Zahid Hasan, “Automated Image Processing Approach Using Gamma Encoding for Human Visualization, Analysis and Comparison” International Conference on Engineering Research, Innovation and Education 2013, ICERIE 2013, pp. 316- 321, 11 ̶-13 January, SUST, Sylhet, Bangladesh.

 

PUBLISHED BOOK CHAPTER

  1. Zahid Hasan, Nahid Zeba, Mohammad Shorif Uddin, "Deep Learning-Based Essential Paddy Pests' Filtration Technique for Economic Damage Management", in the book chapter of computer vision and machine learning in Agriculture, Springer Book Series, 2021.
  2. Zahid Hasan, Nusrat Zahan, Nahid Zeba and Mohammad Shorif Uddin, "A Deep Learning-Based Approach for Potato Disease Classification". in the book chapter of computer vision and machine learning in Agriculture, Springer Book Series, 2021.
  3. Nusrat Zahan, Md. Zahid Hasan, Mohammad Shorif Uddin, Shakhwat Hossain, “A Deep Learning-based Mushroom Disease Classification”, Application of Machine Learning in Smart Agriculture. Elsevier Book Chapter.
  4. Shakhawat Hossain, Md Zahid Hasan, Muhammed J. A. Patwary and Mohammad Shorif Uddin, "An Expert System to Determine Systemic Lupus Erythematosus under Uncertainty " , IJCACI 2020, DIU, Springer Nature Book Series: Algorithms for Intelligent Systems (AIS). Springer
  5. Md Zahid Hasan, Shakhawat Hossain, Mohammad Shorif Uddin, Md. Mehadi Hassan and Martina Chakma, "A Genetic Algorithm Based Optimal Train Route Selection and Schedule Management Model", IJCACI 2020, DIU, Springer Nature Book Series: Algorithms for Intelligent Systems (AIS). Springer
  6. Md Zahid Hasan, Shakhawat Hossain, K. M. Zubair Hasan, Mohammad Shorif Uddin and Md. Ehteshamul Alam , "Fuzzy Rule-based KNN for Rainfall Prediction: A case Study in Bangladesh ", IJCACI 2020, DIU, Springer Nature Book Series: Algorithms for Intelligent Systems (AIS). Springer
  7. Zahid Hasan, Shakhawat Hossain, Mohammad Shorif Uddin, Mohammad Shahidul Islam, An Optimized Pruning Technique for Handling Uncertainty in Decision Making Process, in Conference of IJCCI 2019, Conference Proceedings to be published in Springer Book Series Algorithms for Intelligent Systems (AIS), Springer.
  8. Zahid Hasan, Shakhawat Hossain, Mohammad Shorif Uddin, Mohammad Shahidul Islam, Sources and Impact of Uncertainty on Rule-based Decision Making Approaches, in Conference of IJCCI 2019, Conference Proceedings to be published in Springer Book Series Algorithms for Intelligent Systems (AIS), Springer.

 

 

BOOK REVIEW AND EDITED

 

  1. Applied Intelligence for Healthcare Informatics Techniques and Applications, Published by Taylor and Francis Group (2026), Edited By Nazmul Siddique, Mohammad Shamsul Arefin, Md Zahid Hasan, and M Shamim Kaiser. https://www.routledge.com/Applied-Intelligence-for-Healthcare-Informatics-Techniques-and-Applications/Siddique-Arefin-Hasan-Kaiser/p/book/9781032950563.
  2. “Developing Responsive Web Applications with AJAX and jQuery”- Sandeep Kumar Patel (Author), PacktPub publishers, July 2014, Reviewed by Md. Zahid Hasan.

 

ONLINE COURSE DEVELOPMENT

 

Natural Language Processing Course for GoEdu Platform https://goedu.ac/courses/programming-language/natural-language-processing-nlp-course/

Health Informatics, Smart Agricultural System, Machine Learning, Computer Vision, Data Mining, Deep Learning, Decision Science, Operational Research, Smart Web and Apps Development.

  1. Director, Health Informatics Research Lab
  2. Research Coordinator, Department of CSE
  3. Program Director, CSE, MIS program, Daffodil International University, Jan 2017-Dec. 2024
  4. Assistant Professor, Daffodil International University, 05 Oct, 2015-31 Oct, 2021.
  5. Exam Committee Chairman of FSIT,DIU, Daffodil International University, Jan 2017-May 2021.
  6. Assistant Professor, Green University of Bangladesh, 22, Aug. 2015-05 Oct, 2015
  7. Senior Lecturer, Green University of Bangladesh, Sept. 2014 – 21th Aug 2015
  8. Lecturer, Green University of Bangladesh, Jan. 2011 - Sept. 2014
  9. Program Coordinator in CSE dept, Green University of Bangladesh, Mar. 2013 - 05 Oct, 2015.
  10. Moderator, GUCC, Green University of Bangladesh, Apr. 2013 - Sept. 2015
  11. Assistant Director of Student Affairs, Green University of Bangladesh Sept.2012 - Feb.2013