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
Cell-Phone
01672580748

PhD in Image Processing, 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

  • Training Course on Mobile Application Development, National Mobile Development Awareness & Capacity Building Program of Ministry of Information & Communication Technology (MoICT), Bangladesh, 2014.
  • 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), 2014.
  • Workshop on Interactive Teaching and Learning, Green University Center of Excellence for Teaching & Learning (GUCETL),June 2013
  • Leadership Training at Green University of Bangladesh, 2015.
  • Training course on Networking (Windows 2003 & Redhat Linux) 2006 Rajshahi, RUET.

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.

PUBLICATIONS IN JOURNAL 

 

  1. Md. 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 Journal)
  2. Md. Hasan Imam Bijoy, Syeda Zarin Tasnim, Syed Ali Awsaf, Md. Zahid Hasan, FruitVision: A benchmark dataset for fresh, rotten, and formalin-mixed fruit detection, Data in Brief, Volume 61,2025, 111752, htps://doi.org/10.1016/j.dib.2025.111752.
  3. Nusrat Jahan, Md. Zahid Hasan,Dataset of Ash gourd plant leaf images for detection and classification,Data in Brief,Volume 62,2025,111997, https://doi.org/10.1016/j.dib.2025.111997.
  4. Acharja, S., Md. Zahid Hasan, Chamok, F.H. et al. OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis. Cognitive Computation 17, 101 (2025). https://doi.org/10.1007/s12559-025-10451-z. (Q1 Journal)
  5. Saiful Islam, Md. Injamul Haque, Mushrat Jahan, Md. 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 Journal)
  6. 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 Journal, Wiley, 05 February 2025 https://doi.org/10.1002/aisy.202400495(Q1 Journal)
  7. Chowa, S.S., Bhuiyan, M.R.I., Payel, I.J. , Md. 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 Journal)
  8. 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. (Q1 Journal)
  9. 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. (Q1 Journal)
  10. Saiful Islam, Md Injamul Haque, Mushrat Jahan, Md 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, 2025. (Q1 Journal) 
  11. 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 (Q1 Journal)
  12. 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 (Q1 Journal)
  13. 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 Journal).
  14. 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 (Q1 Journal).
  15. 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. (Q1 Journal)
  16. 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. 
  17. 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. (Q1 Journal)
  18. 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. (Q1 Journal)
  19. 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.
  20. 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.
  21. 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. 
  22. 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. 
  23. 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.
  24. 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.
  25. 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. 
  26. 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.
  27. 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. 
  28. 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.
  29. 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
  30. 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. 
  31. 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.
  32. 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.
  33. 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. 
  34. 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.
  35. 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.
  36. 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.
  37. 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, 2022.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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
  43. Md. Sazzadur Ahamed, NasrinAkterand Md. Zahid Hasan, "Decision Support System for Classification of Heart Disease Using Data Mining Algorithms", International Journal of Computer Science and Information Security,Volume 15, Issue 1,pp. 573-575, Janurary 2017. 
  44. Husnul Ajra, Md Zahid Hasan, Md Shohidul Islam, BER Analysis of Various Channel Equalization Schemes of a QO-STBC Encoded OFDM based MIMO CDMA System, International Journal of Computer Network and Information Security, Volume 6, Issue 3, Pages 30, 2014.
  45. Maria Akther, Md. Kaiser Ahmed, Md. Zahid Hasan,"Detection of Vehicle’s Number Plate at Nighttime using Iterative Threshold Segmentation (ITS) Algorithm", IJIGSP, vol.5, no.12, pp. 62-70, October 2013.
  46. T. M. Shahriar Sazzad, Sabrin Islam, Mohammad Mahbubur Rahman Khan Mamun and Md. Zahid Hasan, "Establishment of an Efficient Color Model from Existing Models for Better Gamma Encoding In Image Processing", International Journal of Image Processing (IJIP), Volume (7): Issue (1): 2013
  47. T. M. Shahriar Sazzad, Md. Zahid Hasan, Fatma Mohammad, Sabrin Islam, “Gamma encoding on image processing considering human visualization, analysis and comparison”, International Journal on Computer Science and Engineering (IJCSE), Vol. 4 No. 12, pp. 1868-1873, Dec 2012
  48. Md. Zahid Hasan, T. M. Shahriar Sazzad and Md. Hasibur Rahman, "Use of Gamma Encoder for Image Processing considering Human Visualization" International Journal of Computer Applications (IJCA), Volume 58, No-10, November 2012
  49. Md. Zahid Hasan "Color Image Transmission: Error Analysis of a Concatenated FEC Scheme Based OFDM System", Journal of Mobile Communication, Volume: 4, Issue: 3, Page No.: 81-85, 2010.
  50. Md. Ashraful Islam, Riaz Uddin Mondal, Md. Zahid Hasan, “Performance Evaluation of Wimax Physical Layer under Adaptive Modulation Techniques and Communication Channels”, IJCSIS, Vol-5, No-1, Page 111-114. ISSN 1947-2000, September-2009

 

Book Review:

1. “Developing Responsive Web Applications with AJAX and jQuery”- Sandeep Kumar Patel (Author), PacktPub publishers, July 2014

 

Publications in Conference:

  1. T. 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. 
  2. M. 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.
  3. I. 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.
  4. A. 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.
  5. R. 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.
  6. M. 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.
  7. 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.
  8. 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.
  9. Antara Biswas, Musfiqur Rahman, Zahura Jebin Orin and Md. Zahid Hasan, Bengali Functional Sentence Classification through Machine Learning Approch, Accepted in ICCCNT 21 conference, India.
  10. Md Rony, Dola Barai, Riad Riad and Md. Zahid Hasan, Automated Foot and Mouth Disease Classification Using Transfer Learning-Based Deep Convolutional Neural Network, Accepted in ICCCNT 21 conference, India.
  11. Md Rony, Dola Barai, Riad Riad and Md. Zahid Hasan, Cattle External Disease classification using Deep Learning TechniquesClassification using Deep Learning Techniques, Accepted in ICCCNT 21 conference, India.
  12. Thaharim Khan, Faisal Arafat, Aditya Rajbongshi, Dr. Sheak Rashed Haider Noori and Md. Zahid Hasan, Optimal decision making for Deep learning based prediction with combinatorial optimization, Accepted in ICCCNT 21 conference, India.
  13. Sheikh Tonmoy, Habiba Khan Hiya, Md Zahid Hasan, K. M. Zubair Hasan and Nusrat Zahan, “Breast Cancer Prediction with Gaussian Process Using Anthropometric Parameters”, Accepted in ICCCNT 21 conference, India.
  14. 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.
  15. Nahid Zeba, Md. Zahid Hasan, Md Abdul Malek, Sanjida Sultana Reya, "A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques ", Accepted in ICREST conference. 
  16. Md Abdul Malek, Sanjida Sultana Reya, Md. Zahid Hasan, Shakhawat Hossain" A Crop Pest Classification Model Using Deep Learning Techniques", Accepted in ICREST conference. 
  17. Md. Mehadi Hassan, Martina Chakma and Md Zahid Hasan, “An AHP Approach for Cold Storage Warehouse Site Selection: A Case Study in Bangladesh “, Accepted in ICCCNT 20 conference, India. (Accepted and Presented)
  18. Nusrat Zahan and Md. Zahid Hasan “Multi-attribute Decision Making Approach for Waste Bin Site Selection Problem: A case study in Dhaka City”, Accepted in ICCCNT 20 conference, India. (Accepted and Presented)
  19. Md. 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, Accepted in ICCCNT 20 conference, India. 
  20. Md. 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”, Accepted in ICCCNT 20 conference, India. IEEE
  21. Foysal Ahmed; Abu Raihan Choudhury; Aniruddha Rakshit; Md. Zahid Hasan, An IoT Based System for Printing Braille Letter from Speech, Accepted in IEEE Tensymp 2020.
  22. Ashik Kumar Das, Md. Asif Iqbal, Bidhan Paul, Aniruddha Rakshit, Md. Zahid Hasan, Classification of Succulent Plant Using Convolutional Neural Network , ICONCS 2020, DIU, Springer.
  23. Shakhawat Hossain, Md. Zahid Hasan, Aniruddha Rakshit, Processing with Patients’ Statements: An Advanced Disease Diagnosis Technique, ICONCS 2020, DIU, Springer.
  24. Md. Zahid Hasan; Shadman Shoumik; Nusrat Zahan , Automated Prediction of Phishing Websites Using Deep Convolutional Neural Network, Accepted in IC4ME2, Rajshahi University. IEEE XploreMd. Zahid Hasan; Shadman Shoumik; Nusrat Zahan, Integrated Use of Rough Sets and 
  25. Artificial Neural Network for Skin Cancer Disease Classification, Accepted in IC4ME2, Rajshahi University. IEEE Xplore
  26. Md. 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, Accepted in IC4ME2, 2019, Rajshahi University. IEEE Xplore
  27. Md Zahid Hasan; K. 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.
  28. Md. 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
  29. Md. Ashfakur Rahman Arju, Naib Hossain Khan, Kazi Ekramul Hoque, Arif Rizvi Jisan and Saifuddin M. Tareque, A Framework for Detecting Driver Drowsiness Based on Eye Blinking Rate and Hand Gripping Pressure, Accepted in IJCCI Conference, DIU, Springer.
  30. Md. Zahid Hasan,Kh. Tanzila Rahman, Rokeya Islam Riya, K. M. Zubair Hasan, Nusrat Zahan, A CNN Based Classification Model for Recognizing Visual Bengali Font, Accepted in IJCCI Conference, 2019, DIU, Springer
  31. Md. 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
  32. K. 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
  33. Md. Mahidul Islam; Md. Zahid Hasan; Rifat Ali Shaon , A Novel Approach for Client Side Encryption in Cloud Computing, 2018. IEEE Xplore
  34. K. 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
  35. Md. Zahid Hasan, K.M. Zubair Hasan, Abdus Sattar, Burst Header Packet Flood Detection in Optical Burst Switching Network Using Deep Learning Model, Accepted paper in the conference of ICACC 2018, Keralla, India. Springer Link
  36. 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.
  37. T.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.

 

Book-Chapter:

  1. Md. Zahid Hasan, Nahid Zeba, Mohammad Shorif Uddin, "Deep Learning-Based Essential Paddy Pests' Filtration Technique for Economic Damage Management", Accepted in the book chapter of computer vision and machine learning in Agriculture, Springer Book Series, 2021.
  2. Md. Zahid Hasan, Nusrat Zahan, Nahid Zeba and Mohammad Shorif Uddin, "A Deep Learning-Based Approach for Potato Disease Classification". Accepted in the book chapter of computer vision and machine learning in Agriculture, Springer Book Series, 2021.
  1. 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.
  2. 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).
  3. 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).
  4. 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).
  5. Md. Zahid Hasan, Shakhawat Hossain, Mohammad Shorif Uddin, Mohammad Shahidul Islam, An Optimized Pruning Technique for Handling Uncertainty in Decision Making Process, Accepted in Conference of IJCCI 2019, Conference Proceedings to be published in Springer Book Series Algorithms for Intelligent Systems (AIS), Springer.
  6. Md. Zahid Hasan, Shakhawat Hossain, Mohammad Shorif Uddin, Mohammad Shahidul Islam, Sources and Impact of Uncertainty on Rule-based Decision Making Approaches, Accepted in Conference of IJCCI 2019, Conference Proceedings to be published in Springer Book Series Algorithms for Intelligent Systems (AIS), Springer.

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

  1. Exam Committee Chairman of FSIT,DIU, Daffodil International University, Jan 2017-Present.
  2. Assistant Professor, Green University of Bangladesh, 22, Aug. 2015-05 Oct, 2015
  3. Senior Lecturer, Green University of Bangladesh, Sept. 2014 – 21th Aug 2015
  4. Lecturer, Green University of Bangladesh, Jan. 2011 - Sept. 2014
  5. Program Coordinator in CSE dept, Green University of Bangladesh, Mar. 2013 - 05 Oct, 2015
  6. Moderator, GUCC, Green University of Bangladesh, Apr. 2013 - Sept. 2015
  7. Assistant Director of Student Affairs, Green University of Bangladesh Sept.2012 - Feb.2013