Department of Software Engineering
Mr. Rashidul Hasan Hridoy  Lecturer
Name :
Mr. Rashidul Hasan Hridoy
Designation
Lecturer  
Department
Department of Software Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/swe/rashidul.html
E-mail
hasan.swe@diu.edu.bd
Phone
Cell-Phone
01714969317

Bachelor of Science in Computer Science & Engineering
Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka-1216
CGPA 3.93 out of 4.00, 148 credits toward a bachelor’s degree.

  • Effective Teaching through Outcome-Based Education, Daffodil Smart City (DSC), Birulia, Savar, Dhaka-1216
  • Course File Preparation and Outcome-Based Education (OBE), Daffodil Smart City (DSC), Birulia, Savar, Dhaka-1216

 

  • Introduction to Software Engineering 
  • Software Requirement Specifications & Analysis
  • Software Development Capstone Project

 

Journal Articles

  1. A. Khatun, R. H. Hridoy, X. Gao, M. S. Arman, and I. Mahmud, “Efficient Computer-Aided X-ray Image-Based Diagnosis of Chest Diseases Using Deep Learning,” Int J Elec & Comp Eng, 2025, pp. 1-11. [In Press]
  2. R. H. Hridoy, M. T. Habib, I. Mahmud, A. Haque, and M. A. A. Mamun, “A Comprehensive Image Dataset for Accurate Diagnosis of Betel Leaf Diseases Using Artificial Intelligence in Plant Pathology,” Data in Brief, 2025, vol. 60, 111564.
  3. R. H. Hridoy, A. D. Arni, S. K. Ghosh, N. R. Chakraborty, and I. Mahmud, “Performance Enhancement of Machine Learning Algorithm for Breast Cancer Diagnosis Using Hyperparameter Optimization,” Int J Elec & Comp Eng, 2024, vol. 14, no. 2, pp. 2181-2190.
  4. R. H. Hridoy, A. D. Arni, and A. Haque, “Improved Vision-Based Diagnosis of Multi-Plant Disease Using an Ensemble of Deep Learning Methods,” Int J Elec & Comp Eng 2023, vol. 13, no. 5, pp. 15109-15117.

 

Book Chapters

  1. R. H. Hridoy, T. Yeasmin, and M. Mahfuzullah, “A Deep Multi-Scale Feature Fusion Approach for Early Recognition of, Jute Diseases and Pests,” in Inventive Systems and Control, Lecture Notes in Networks and Systems, vol. 436, Springer, Singapore, 2022, pp. 553-567.
  2. R. H. Hridoy, M. T. Habib, M. S. Rahman, and M. S. Uddin, “Deep Neural Networks-Based Recognition of Betel Plant Diseases by Leaf Image Classification,” in Evolutionary Computing and Mobile Sustainable Networks, Lecture Notes on Data Engineering and Communications Technologies, vol. 116, Springer, Singapore, 2022, pp. 227-241.
  3. R. H. Hridoy and A. Rakshit, “BGCNN: A Computer Vision Approach to Recognition of Yellow Mosaic Disease for Black Gram,” in Computer Networks and Inventive Communication Technologies, Lecture Notes on Data Engineering and Communications Technologies, vol. 75, Springer, Singapore, 2022, pp. 189-202.
  4. Sarker, S. H. Islam, K. Akter, L. Rukhsara, and R. H. Hridoy, “A Deep Neural Networks-Based Food Recognition Approach for Hypertension Triggering Food,” in Third International Conference on Image Processing and Capsule Networks, Lecture Notes in Networks and Systems, vol. 514, Springer, Cham, 2022, pp. 360-373.
  5. Hasan, N. Sakib, R. H. Hridoy, N. H. Ananto, S. Akhter, and M. T. Habib, “An LSTM-Based Word Prediction in Bengali,” in Inventive Communication and Computational Technologies, Lecture Notes in Networks and Systems, vol. 383, Springer, Singapore, 2022, pp. 931-944.
  6. Biswas, M. Islam, U. Sarker, R. H. Hridoy, and M. T. Habib, “Machine Learning-Based Depression Detection,” in Computer Networks and Inventive Communication Technologies, Lecture Notes on Data Engineering and Communications Technologies, vol. 141, Springer, Singapore, 2023, pp. 809-821.
  7. K. M. T. Alam, Z. H. Nirob, A. J. Urme, A. Rahman, R. H. Hridoy, M. T. Habib, and F. Ahmed, “A Systematic Analysis for Machine Learning-Based Cow Price Prediction,” in Business Intelligence, Lecture Notes in Business Information Processing, Springer, Cham, 2023, pp. 17-28.

 

Conference Proceedings

  1. R. H. Hridoy, A. D. Arni, and M. A. Hassan, “Recognition of Mustard Plant Diseases Based on Improved Deep Convolutional Neural Networks,” in IEEE Region 10 Symposium (TENSYMP), Mumbai, India, 2022, pp. 1-6.
  2. R. H. Hridoy, M. T. Habib, I. Jabiullah, R. Rahman, and F. Ahmed, “Early Recognition of Betel Leaf Disease Using Deep Learning with Depth-Wise Separable Convolutions,” in IEEE Region 10 Symposium (TENSYMP), Jeju, Republic of Korea, 2021, pp. 1-7.
  3. R. H. Hridoy and M. R. A. Tuli, “A Deep Ensemble Approach for Recognition of Papaya Diseases Using EfficientNet Models,” in 5th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), Dhaka, Bangladesh, 2021, pp. 1-6.
  4. R. H. Hridoy, M. Afroz, and F. Ferdowsy, “An Early Recognition Approach for Okra Plant Diseases and Pests Classification Based on Deep Convolutional Neural Networks,” in Innovations in Intelligent Systems and Applications Conference (ASYU), Elazig, Turkey, 2021, pp. 1-6.
  5. R. H. Hridoy, F. Akter, and A. Rakshit, “Computer Vision-Based Skin Disorder Recognition Using EfficientNet: A Transfer Learning Approach,” in International Conference on Information Technology (ICIT), Amman, Jordan, 2021, pp. 482-487.
  6. R. H. Hridoy, F. Akter, and M. Afroz, “An Efficient Computer Vision Approach for Rapid Recognition of Poisonous Plants by Classifying Leaf Images Using Transfer Learning,” in 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2021, pp. 1-7.
  7. R. H. Hridoy, F. Akter, M. Mahfuzullah, and F. Ferdowsy, “A Computer Vision-Based Food Recognition Approach for Controlling Inflammation to Enhance Quality of Life of Psoriasis Patients,” in International Conference on Information Technology (ICIT), Amman, Jordan, 2021, pp. 543-548.

Machine Learning, Deep Learning, Computer Vision, Biomedical and Health Informatics, and Computational Agriculture.

  • Certificate of Distinction in Research for Scholarly Publications, awarded by the Division of Research, Daffodil International University, 2024.
  • Certificate of Distinction in Research for Scholarly Publications, awarded by the Division of Research, Daffodil International University, 2022.
  • Academic Merit Scholarship (awarded for outstanding SGPA in the immediate last semester), Daffodil International University, 2017-2021

 

Lecturer (Contractual)
Department of Software Engineering, Faculty of Science & Information Technology
Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka-1216
Duration: 1st August 2023-30th August 2025