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MD. MUSFIQUR RAHMAN MRIDHA

MD. MUSFIQUR RAHMAN MRIDHA

Lecturer

Department of Information and Communication Technology
Faculty of Science & Technology (FST)

mdmridha100730@gmail.com

BANGLADESH UNIVERSITY OF PROFESSIONALS
Mirpur Cantonment, Dhaka-1216

Biography

I am Md. Musfiqur Rahman Mridha, currently serving as a Lecturer in the Department of ICT at BUP. I have more than three years of teaching experience across diverse academic institutions. Before joining BUP, I completed my M.Sc. in Computer Science and Engineering from RUET and my B.Sc. in Computer Science and Engineering from BRUR.

My research interests include deep learning, machine learning, digital image processing, and medical imaging. My work focuses on developing intelligent systems to automate medical diagnosis and support physicians in real-time clinical practice. A complete list of my publications is available here.

You can reach me at musfiqur.mridha@bup.edu.bd.

Last Updated: 02 Jul 2026

Education
S.S.C, রাজশাহী কলেজিয়েট স্কুল, রাজশাহী
H.S.C, রাজশাহী সরকারি সিটি কলেজ, রাজশাহী
Masters, কম্পিউটার সায়েন্স অ্যান্ড ইঞ্জিনিয়ারিং বিভাগ, রাজশাহী প্রকৌশল ও প্রযুক্তি বিশ্ববিদ্যালয়
Bachelor of Science (BSc), কম্পিউটার সায়েন্স অ্যান্ড ইঞ্জিনিয়ারিং বিভাগ, বেগম রোকেয়া বিশ্ববিদ্যালয়, রংপুর

Last Updated: 02 Jul 2026

Journal Publication

1.

2026
[1] Nabil, A. S. M., Mridha, M. M. R., Shakil, M. S. A., Moon, I. T., Islam, M. F., Chaudhary, M. J., ... & Khan, M. T. (2026). An automated tuberculosis detection approach using deep learning and machine learning techniques from chest X-ray images: a step towards effective diagnosis. Polish Journal of Radiology, 91, e46. https://doi.org/10.5114/pjr/213688

2.

2025
[1] Rafi, M. T. R., Moon, I. T., Mridha, M. M. R., Shakil, M. S. A., Chaudhary, M. J., & Khan, M. T. (2025). Enhancing Cybersecurity: Comparative Insights in Machine Learning Models for Ransomware Detection. European Journal of Artificial Intelligence and Machine Learning, 4(3), 1-7. http://dx.doi.org/10.24018/ejai.2025.4.3.60

3.

2022
[1] Moon, I. T., Shamsuzzaman, M., Mridha, M. M. R., & Rahaman, A. S. M. M. (2022). Towards the advancement of cashless transaction: A security analysis of electronic payment systems. Journal of Computer and Communications, 10(07), 103-129. https://doi.org/10.4236/jcc.2022.107007

Last Updated: 02 Jul 2026

Conference Papers

1.

2026
[1] Shakil, M. S. A., Mridha, M. M. R., Nakib, M. F. N., & Khan, M. T. (2026, April). A Multimodal Hybrid Deep Learning Framework for Parkinson's Disease Detection from Speech. In 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN69676.2026.11546611

2.

2025
[1] Mridha, M. M. R., Hossain, M. A., & Srizon, A. Y. (2025, February). A Comprehensive Detection of Cardiovascular Risks Utilizing Deep Learning & Ensemble Learning Methods Through Retinal Fundus Images. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11013294

[2] Mridha, M. M. R., Hossain, M. A., & Srizon, A. Y. (2024, December). An Effective Deep Learning Approach to Cardiovascular Disease Detection Using Retinal Fundus Images. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 1738-1743). IEEE. https://doi.org/10.1109/ICCIT64611.2024.11022493

[3] Islam, Z., Mridha, M. M. R., Imtiaz, S., Shakil, M. S. A., Nakib, M. F. N., Khan, M. T., & Mizan, M. A. I. (2025, February). Automated Weed Detection in Agriculture Using Deep Learning Approaches: A Comparison of CNN Architectures. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11012926

[4] Shaha, P., Mridha, M. M. R., Mizan, M. A. I., Shakil, M. S. A., Chaudhary, M. J., Khan, M. T., & Imtiaz, S. (2025, February). MRI-Based Identification of Brain Tumors Using Deep Convolutional Neural Networks: A Case Study on Inception V3. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11013793

[5] Ahammed, M. S., Mridha, M. M. R., Khan, M. T., Chaudhary, M. J., Nakib, M. F. N., Imtiaz, S., & Ashik, M. A. (2025, February). Bone Fracture Classification in X-ray Images: A Deep Learning Approach Leveraging Transfer Learning. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11013431

[6] Imtiaz, S., Nakib, M. F. N., Mridha, M. M. R., Khan, M. T., Ashik, M. A., & Tasnim, Z. (2025, February). Revolutionizing Alzheimer’s: A CNN Model for Early Detection and Accurate Prediction. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11012989

[7] Ashik, M. A., Imtiaz, S., Mridha, M. M. R., Shakil, M. S. A., Nakib, M. F. N., Khan, M. T., & Ahammed, M. S. (2025, February). From Fresh to Foul: Deep Learning’s Discerning Eye on Fruit Decay. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11013966

[8] Shakil, M. S. A., Chaudhary, M. J., Mridha, M. M. R., Khan, M. T., Moon, I. T., & Zinnia, D. A. (2024, December). Leveraging Transfer Learning and Ensemble Models for the Classification of Monkeypox and Other Skin Lesions. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 1558-1563). IEEE. https://doi.org/10.1109/ICCIT64611.2024.11022390

[9] Huda, M. H., Shakil, M. S. A., Khan, M. T., Mridha, M. M. R., Mizan, M. A. I., Rahman, M. M., & Hemel, H. R. (2025, June). Deep Learning-Based Classification of Potato Leaf Diseases for Sustainable Agriculture. In 2025 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) (pp. 1-6). IEEE. https://doi.org/10.1109/NCIM65934.2025.11159923

[10] Ahamed, A., Khan, T., Shakil, M. S. A., Mridha, M. M. R., Nakib, M. F. N., & Huda, M. H. (2025, July). Improved Classification of Retinal Disease: An Ensemble Deep Learning Approach for Diabetic Retinopathy, Glaucoma, and Cataracts. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172194

[11] Hasan, K. M., Nakib, F. N., Mridha, M. M. R., Khan, M. T., Shakil, M. S. A., Imtiaz, S., & Islam, M. K. (2025, July). Enhanced MobileNetV1 for Early Autism Detection: A Transfer Learning Approach Using Facial Imagery. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172046

[12] Rahman, M. M., Khan, T., Mridha, M. M. R., Mizan, M. A. I., Nakib, M. F. N., Ahamed, A., & Huda, M. H. (2025, July). Ensemble Learning in Rice Leaf Diseases Classification. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-5). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172222

[13] Mizan, M. A. I., Khan, M. T., Moon, I. T., Mridha, M. M. R., Nakib, M. F. N., & Ahamed, A. (2025, July). Multiple Face-Emotion Recognition Using Attention Mechanisms in Deep Learning. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11171884

[14] Mou, S. R., Nakib, F. N., Mridha, M. M. R., Mizan, M. A. I., Moon, I. T., Chaudhary, M. J., & Yeasir, M. R. (2025, July). Classifying Fresh and Rotten Fruits Using Deep Learning: Examining Image-Based Methods for Quality Evaluation. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172018

[15] Khan, M. T., Mridha, M. M. R., Chaudhary, M. J., Shakil, M. S. A., Zinnia, D. A., Moon, I. T., & Nakib, M. F. N. (2025, July). A Skin Lesion Classification Approach Using Transfer Learning to Detect Monkeypox. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172130

[16] Yeasir, M. R., Nakib, F. N., Mizan, M. A. I., Mridha, M. M. R., Shakil, M. S. A., Imtiaz, S., & Hemel, H. R. (2025, July). Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-5). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172101

[17] Hemel, H. R., Nakib, M. F. N., Mridha, M. M. R., Mizan, M. A. I., Chaudhary, M. J., Moon, I. T., & Hasan, K. M. (2025, July). Advancements in Plant Disease Detection: A Comparative Study of Deep Learning-Based Classification Models. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-5). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11171725

[18] Shojib, M. S. H., Mridha, M. M. R., Nakib, M. F. N., Islam, S., Imtiaz, S., Rahman, M. M., & Hasan, M. T. (2025, October). Pneumonia Detection Using Deep Learning and Machine Learning Approaches from Chest X-Ray. In 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-6). IEEE. https://doi.org/10.1109/COMPAS67506.2025.11381803

[19] Ahmed, M. I., Mridha, M. M. R., Nakib, M. F. N., Rizvee, R. A., & Ilham, M. F. (2025, December). Plant Disease Detection: An Effective Approach Incorporating Deep Learning & Machine Learning Techniques. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 3830-3835). IEEE. https://doi.org/10.1109/ICCIT68739.2025.11490520

[20] Tahmin, F., Mridha, M. M. R., Imtiaz, S., Nakib, F. N., & Ahammed, M. S. (2025, December). Detecting Fresh & Rotten Fruits: A Comprehensive Study Using Deep & Machine Learning Techniques. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 4136-4141). IEEE. https://doi.org/10.1109/ICCIT68739.2025.11491597

[21] Islam, M. S., Mridha, M. M. R., Rahman, M. M., Khan, M. T., & Shojib, M. S. H. (2025, December). An Effective Lung Cancer Detection Approach Using Deep Learning & Machine Learning Techniques from Chest X-ray Images. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 4226-4231). IEEE. https://doi.org/10.1109/ICCIT68739.2025.11490250

[22] Rahaman, M. M., Shakib, M. F., Abir, M. A. K., & Mridha, M. M. R. (2025, December). Attention-Guided Lightweight CNN for Robust Image Steganalysis under Common Manipulations. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 5566-5571). IEEE. https://doi.org/10.1109/ICCIT68739.2025.11491239

[23] Ahmed, M. I., Rahman, M. M., Hussain, M. N., Mridha, M. M. R., Chaudhary, J., & Mizan, M. A. I. An Effective Deep Learning Approach to Plant Disease Detection. https://doi.org/10.13140/RG.2.2.18898.67522

[24] Akhand, M. N. (2025, February). Deep Learning-Based Jute Leaf Disease Identification. In Proceedings of the Undergraduate Conference on Intelligent Computing and Systems (UCICS 2025), Varendra University, Rajshahi, Bangladesh (pp. 26-27).

3.

2024 & 2023
[1] Mimi, A., Moon, I. T., Mridha, M. M. R., & Jafor, M. S. (2024, November). Detection of DDoS Attack: A Comparative Evaluation of Machine Learning Techniques. In 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON) (pp. 1-6). IEEE. https://doi.org/10.1109/SPICSCON64195.2024.10940863

[2] Moon, I. T., Mimi, A., & Mridha, M. M. R. (2024, September). Improper Implementation of Transport Layer Security: Impact on Android Applications and Man-in-the-Middle Attack. In 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON) (pp. 1-6). IEEE. https://doi.org/10.1109/PEEIACON63629.2024.10800686

[3] Moon, I. T., Mimi, A., & Mridha, M. M. R. (2023, December). Cryptographic Analysis: Popular Social Media Applications and Mitigations of Vulnerabilities. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE. https://doi.org/10.1109/ICCIT60459.2023.10441090

Last Updated: 02 Jul 2026

Books

1.

2025
[1] Rahman, S., Mridha, M. M. R., Nakib, M. F. N., Khan, M. T., Chaudhary, M. J., Rahman, M. S., & Jamil, M. M. (2025). A wheat leaf disease detection approach using deep learning and machine learning techniques. In Taylor and Francis book chapter. Taylor & Francis.

[2] Jahan, M. N., Mridha, M. M. R., Khan, M. T., Islam, M. R., Nakib, M. F. N., Moon, I. T., & Imtiaz, S. (2025). Brain tumor classification using deep and machine learning techniques on MRI data. In Taylor and Francis book chapter. Taylor & Francis.

Last Updated: 02 Jul 2026

Researchs

1. Machine Learning

2. Deep Learning

3. Digital Image Processing

4. Medical Imaging

5. Cybersecurity

Last Updated: 02 Jul 2026

Awards

1.

2024 ICCIT Best Technical Presentation of the Session-53 AIHC

2. Merit Scholarship-2020, 2021, 2022, Department of Computer Science and Engineering, Begum Rokeya University, Rangpur

Last Updated: 02 Jul 2026

Courses

1.

  1. Digital Communication
  2. Cloud Computing Lab
  3. Structured Programming Language
  4. Structured Programming
  5. Structured Programming Lab
  6. Data Structure
  7. Data Structure Lab
  8. Computer Algorithms
  9. Computer Algorithms Lab
  10. Operating Systems and System Programming
  11. Operating Systems and System Programming Lab
  12. Computer Network Lab
  13. Artificial Intelligence

Last Updated: 02 Jul 2026

S.S.C, রাজশাহী কলেজিয়েট স্কুল, রাজশাহী
H.S.C, রাজশাহী সরকারি সিটি কলেজ, রাজশাহী
Masters, কম্পিউটার সায়েন্স অ্যান্ড ইঞ্জিনিয়ারিং বিভাগ, রাজশাহী প্রকৌশল ও প্রযুক্তি বিশ্ববিদ্যালয়
Bachelor of Science (BSc), কম্পিউটার সায়েন্স অ্যান্ড ইঞ্জিনিয়ারিং বিভাগ, বেগম রোকেয়া বিশ্ববিদ্যালয়, রংপুর

Last Updated: 02 Jul 2026

1.

2026
[1] Nabil, A. S. M., Mridha, M. M. R., Shakil, M. S. A., Moon, I. T., Islam, M. F., Chaudhary, M. J., ... & Khan, M. T. (2026). An automated tuberculosis detection approach using deep learning and machine learning techniques from chest X-ray images: a step towards effective diagnosis. Polish Journal of Radiology, 91, e46. https://doi.org/10.5114/pjr/213688

2.

2025
[1] Rafi, M. T. R., Moon, I. T., Mridha, M. M. R., Shakil, M. S. A., Chaudhary, M. J., & Khan, M. T. (2025). Enhancing Cybersecurity: Comparative Insights in Machine Learning Models for Ransomware Detection. European Journal of Artificial Intelligence and Machine Learning, 4(3), 1-7. http://dx.doi.org/10.24018/ejai.2025.4.3.60

3.

2022
[1] Moon, I. T., Shamsuzzaman, M., Mridha, M. M. R., & Rahaman, A. S. M. M. (2022). Towards the advancement of cashless transaction: A security analysis of electronic payment systems. Journal of Computer and Communications, 10(07), 103-129. https://doi.org/10.4236/jcc.2022.107007

Last Updated: 02 Jul 2026

1.

2026
[1] Shakil, M. S. A., Mridha, M. M. R., Nakib, M. F. N., & Khan, M. T. (2026, April). A Multimodal Hybrid Deep Learning Framework for Parkinson's Disease Detection from Speech. In 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN69676.2026.11546611

2.

2025
[1] Mridha, M. M. R., Hossain, M. A., & Srizon, A. Y. (2025, February). A Comprehensive Detection of Cardiovascular Risks Utilizing Deep Learning & Ensemble Learning Methods Through Retinal Fundus Images. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11013294

[2] Mridha, M. M. R., Hossain, M. A., & Srizon, A. Y. (2024, December). An Effective Deep Learning Approach to Cardiovascular Disease Detection Using Retinal Fundus Images. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 1738-1743). IEEE. https://doi.org/10.1109/ICCIT64611.2024.11022493

[3] Islam, Z., Mridha, M. M. R., Imtiaz, S., Shakil, M. S. A., Nakib, M. F. N., Khan, M. T., & Mizan, M. A. I. (2025, February). Automated Weed Detection in Agriculture Using Deep Learning Approaches: A Comparison of CNN Architectures. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11012926

[4] Shaha, P., Mridha, M. M. R., Mizan, M. A. I., Shakil, M. S. A., Chaudhary, M. J., Khan, M. T., & Imtiaz, S. (2025, February). MRI-Based Identification of Brain Tumors Using Deep Convolutional Neural Networks: A Case Study on Inception V3. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11013793

[5] Ahammed, M. S., Mridha, M. M. R., Khan, M. T., Chaudhary, M. J., Nakib, M. F. N., Imtiaz, S., & Ashik, M. A. (2025, February). Bone Fracture Classification in X-ray Images: A Deep Learning Approach Leveraging Transfer Learning. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11013431

[6] Imtiaz, S., Nakib, M. F. N., Mridha, M. M. R., Khan, M. T., Ashik, M. A., & Tasnim, Z. (2025, February). Revolutionizing Alzheimer’s: A CNN Model for Early Detection and Accurate Prediction. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11012989

[7] Ashik, M. A., Imtiaz, S., Mridha, M. M. R., Shakil, M. S. A., Nakib, M. F. N., Khan, M. T., & Ahammed, M. S. (2025, February). From Fresh to Foul: Deep Learning’s Discerning Eye on Fruit Decay. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE64574.2025.11013966

[8] Shakil, M. S. A., Chaudhary, M. J., Mridha, M. M. R., Khan, M. T., Moon, I. T., & Zinnia, D. A. (2024, December). Leveraging Transfer Learning and Ensemble Models for the Classification of Monkeypox and Other Skin Lesions. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 1558-1563). IEEE. https://doi.org/10.1109/ICCIT64611.2024.11022390

[9] Huda, M. H., Shakil, M. S. A., Khan, M. T., Mridha, M. M. R., Mizan, M. A. I., Rahman, M. M., & Hemel, H. R. (2025, June). Deep Learning-Based Classification of Potato Leaf Diseases for Sustainable Agriculture. In 2025 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) (pp. 1-6). IEEE. https://doi.org/10.1109/NCIM65934.2025.11159923

[10] Ahamed, A., Khan, T., Shakil, M. S. A., Mridha, M. M. R., Nakib, M. F. N., & Huda, M. H. (2025, July). Improved Classification of Retinal Disease: An Ensemble Deep Learning Approach for Diabetic Retinopathy, Glaucoma, and Cataracts. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172194

[11] Hasan, K. M., Nakib, F. N., Mridha, M. M. R., Khan, M. T., Shakil, M. S. A., Imtiaz, S., & Islam, M. K. (2025, July). Enhanced MobileNetV1 for Early Autism Detection: A Transfer Learning Approach Using Facial Imagery. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172046

[12] Rahman, M. M., Khan, T., Mridha, M. M. R., Mizan, M. A. I., Nakib, M. F. N., Ahamed, A., & Huda, M. H. (2025, July). Ensemble Learning in Rice Leaf Diseases Classification. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-5). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172222

[13] Mizan, M. A. I., Khan, M. T., Moon, I. T., Mridha, M. M. R., Nakib, M. F. N., & Ahamed, A. (2025, July). Multiple Face-Emotion Recognition Using Attention Mechanisms in Deep Learning. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11171884

[14] Mou, S. R., Nakib, F. N., Mridha, M. M. R., Mizan, M. A. I., Moon, I. T., Chaudhary, M. J., & Yeasir, M. R. (2025, July). Classifying Fresh and Rotten Fruits Using Deep Learning: Examining Image-Based Methods for Quality Evaluation. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172018

[15] Khan, M. T., Mridha, M. M. R., Chaudhary, M. J., Shakil, M. S. A., Zinnia, D. A., Moon, I. T., & Nakib, M. F. N. (2025, July). A Skin Lesion Classification Approach Using Transfer Learning to Detect Monkeypox. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172130

[16] Yeasir, M. R., Nakib, F. N., Mizan, M. A. I., Mridha, M. M. R., Shakil, M. S. A., Imtiaz, S., & Hemel, H. R. (2025, July). Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-5). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172101

[17] Hemel, H. R., Nakib, M. F. N., Mridha, M. M. R., Mizan, M. A. I., Chaudhary, M. J., Moon, I. T., & Hasan, K. M. (2025, July). Advancements in Plant Disease Detection: A Comparative Study of Deep Learning-Based Classification Models. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-5). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11171725

[18] Shojib, M. S. H., Mridha, M. M. R., Nakib, M. F. N., Islam, S., Imtiaz, S., Rahman, M. M., & Hasan, M. T. (2025, October). Pneumonia Detection Using Deep Learning and Machine Learning Approaches from Chest X-Ray. In 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-6). IEEE. https://doi.org/10.1109/COMPAS67506.2025.11381803

[19] Ahmed, M. I., Mridha, M. M. R., Nakib, M. F. N., Rizvee, R. A., & Ilham, M. F. (2025, December). Plant Disease Detection: An Effective Approach Incorporating Deep Learning & Machine Learning Techniques. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 3830-3835). IEEE. https://doi.org/10.1109/ICCIT68739.2025.11490520

[20] Tahmin, F., Mridha, M. M. R., Imtiaz, S., Nakib, F. N., & Ahammed, M. S. (2025, December). Detecting Fresh & Rotten Fruits: A Comprehensive Study Using Deep & Machine Learning Techniques. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 4136-4141). IEEE. https://doi.org/10.1109/ICCIT68739.2025.11491597

[21] Islam, M. S., Mridha, M. M. R., Rahman, M. M., Khan, M. T., & Shojib, M. S. H. (2025, December). An Effective Lung Cancer Detection Approach Using Deep Learning & Machine Learning Techniques from Chest X-ray Images. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 4226-4231). IEEE. https://doi.org/10.1109/ICCIT68739.2025.11490250

[22] Rahaman, M. M., Shakib, M. F., Abir, M. A. K., & Mridha, M. M. R. (2025, December). Attention-Guided Lightweight CNN for Robust Image Steganalysis under Common Manipulations. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 5566-5571). IEEE. https://doi.org/10.1109/ICCIT68739.2025.11491239

[23] Ahmed, M. I., Rahman, M. M., Hussain, M. N., Mridha, M. M. R., Chaudhary, J., & Mizan, M. A. I. An Effective Deep Learning Approach to Plant Disease Detection. https://doi.org/10.13140/RG.2.2.18898.67522

[24] Akhand, M. N. (2025, February). Deep Learning-Based Jute Leaf Disease Identification. In Proceedings of the Undergraduate Conference on Intelligent Computing and Systems (UCICS 2025), Varendra University, Rajshahi, Bangladesh (pp. 26-27).

3.

2024 & 2023
[1] Mimi, A., Moon, I. T., Mridha, M. M. R., & Jafor, M. S. (2024, November). Detection of DDoS Attack: A Comparative Evaluation of Machine Learning Techniques. In 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON) (pp. 1-6). IEEE. https://doi.org/10.1109/SPICSCON64195.2024.10940863

[2] Moon, I. T., Mimi, A., & Mridha, M. M. R. (2024, September). Improper Implementation of Transport Layer Security: Impact on Android Applications and Man-in-the-Middle Attack. In 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON) (pp. 1-6). IEEE. https://doi.org/10.1109/PEEIACON63629.2024.10800686

[3] Moon, I. T., Mimi, A., & Mridha, M. M. R. (2023, December). Cryptographic Analysis: Popular Social Media Applications and Mitigations of Vulnerabilities. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE. https://doi.org/10.1109/ICCIT60459.2023.10441090

Last Updated: 02 Jul 2026

1.

2025
[1] Rahman, S., Mridha, M. M. R., Nakib, M. F. N., Khan, M. T., Chaudhary, M. J., Rahman, M. S., & Jamil, M. M. (2025). A wheat leaf disease detection approach using deep learning and machine learning techniques. In Taylor and Francis book chapter. Taylor & Francis.

[2] Jahan, M. N., Mridha, M. M. R., Khan, M. T., Islam, M. R., Nakib, M. F. N., Moon, I. T., & Imtiaz, S. (2025). Brain tumor classification using deep and machine learning techniques on MRI data. In Taylor and Francis book chapter. Taylor & Francis.

Last Updated: 02 Jul 2026

Machine Learning Deep Learning Digital Image Processing Medical Imaging Cybersecurity

Last Updated: 02 Jul 2026

2024 ICCIT Best Technical Presentation of the Session-53 AIHC
Merit Scholarship-2020, 2021, 2022, Department of Computer Science and Engineering, Begum Rokeya University, Rangpur

Last Updated: 02 Jul 2026

  1. Digital Communication
  2. Cloud Computing Lab
  3. Structured Programming Language
  4. Structured Programming
  5. Structured Programming Lab
  6. Data Structure
  7. Data Structure Lab
  8. Computer Algorithms
  9. Computer Algorithms Lab
  10. Operating Systems and System Programming
  11. Operating Systems and System Programming Lab
  12. Computer Network Lab
  13. Artificial Intelligence

Last Updated: 02 Jul 2026