Ferdib-Al-Islam

Department	Computer Science and Engineering
Designation	Assistant Professor
Email	[email protected]
Phone	+88 01730 584481
Website	https://sites.google.com/view/ferdib

Educational Qualifications

Degree	Subject	Institute
M.Sc. Eng.	Computer Science and Engineering	Khulna University of Engineering & Technology (KUET)
B.Sc. Eng.	Computer Science and Engineering	Gopalganj Science and Technology University (GSTU)
HSC	Science	Govt. PC College, Bagerhat
SSC	Science	Bagerhat Govt. Secondary School

Professional Experiences

1. Assistant Professor – Dept. of CSE, Northern University of Business and Technology Khulna (Oct 26, 2024 – Present).
2. Senior Lecturer – Dept. of CSE, Northern University of Business and Technology Khulna (Feb 1, 2024 – Oct 25, 2024).
3. Lecturer – Dept. of CSE, Northern University of Business and Technology Khulna (Mar 5, 2020 – Jan 31, 2024).
4. Jr. Software Engineer (IoT, R&D) – W3 Engineers Ltd. (Jul 16, 2018 – Dec 28, 2018).
5. Intern Engineer – W3 Engineers Ltd. (Apr 10, 2018 – Jul 9, 2018).

Research Interests

Machine Learning	Deep Learning	Explainable AI	Large Language Model
Multimodal Fusion	Computer Vision

Publications

1. Journals

1. ^S. A. Arif, ^*Ferdib-Al-Islam, and M. H. Sium, “Clinical prediction of posttreatment migraine recurrence using biofeedback data: a machine learning framework for enhanced patient stratification and treatment monitoring,” BioMed Research International, vol. 2026, no. 1, p. e1282998, Jan. 2026, doi: 10.1155/bmri/1282998. (^Contributed equally to this research and share first authorship)
2. *Ferdib-Al-Islam, P. Biswas, P. P. Gharami, and Md. Rahatul Islam, “XMP-Net: an XAI-Based modified Xception model for recognizing monkeypox and other skin diseases,” BioMed Research International, vol. 2026, no. 1, Art. no. 1113178, Jan. 2026, doi: 10.1155/bmri/1113178.
3. Md. Rabiul Islam, Tapan Kumar Godder, Ahsan-Ul-Ambia, *Ferdib-Al-Islam, Bulbul Ahamed, Anindya Nag, and Ariful Islam, “Adaptive Synthetic-based Arrhythmia Classification Using Machine Learning Techniques,” IAES International Journal of Artificial Intelligence, 2026. (Accepted)
4. F. Al-Islam, M. S. Sanim, K. O. M. Goh, S. M. H. Mahmud, and D. Nandi, “Alzheimer’s Disease Prediction using ANOVA with t-SNE Feature Selection Techniques and Ensemble Learning,” Journal of Advanced Research Design, vol. 144, no. 1, pp. 123–147, Sep. 2025, doi: 10.37934/ard.144.1.123147.
5. Md. Rabiul Islam, Tapan Kumar Godder, Ahsan Ul-Ambia, *Ferdib Al-Islam, Anindya Nag, Bulbul Ahamed, Nujhut Tanzim, Md. Estiak Ahmed, “Ensemble model-based arrhythmia classification with local interpretable model-agnostic explanations,” IAES International Journal of Artificial Intelligence, vol. 14, no. 3, p. 2012, Jun. 2025, doi: 10.11591/ijai.v14.i3.pp2012-2025.
6. S. S. Hossain, *F. Al-Islam, Md. R. Islam, S. Rahman, and Md. S. Parvej, “Autism Spectrum Disorder Identification from Facial Images using Fine Tuned Pre-trained Deep Learning Models and Explainable AI Techniques,” Semarak International Journal of Applied Psychology, vol. 5, no. 1, pp. 29–53, Apr. 2025, doi: 10.37934/sijap.5.1.2953b.
7. Md. M. R. Rana, Md. N. Adnan, Md. M. Siddique, Md. T. Rahman, and F.- Al-Islam, “Predicting Education Level of the Farmers’ Children of a Developing Country during COVID19 Using Machine Learning,” International Journal of Modern Education and Computer Science, vol. 16, no. 6, pp. 94–107, Dec. 2024, doi: 10.5815/ijmecs.2024.06.07.
8. P. Saha, M. S. Sadi, O. F. M. R. R. Aranya, S. Jahan, and F.-A. Islam, “COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning,” Informatics in Medicine Unlocked, vol. 26, p. 100741, Jan. 2021, doi: 10.1016/j.imu.2021.100741.
9. L. Akter, Ferdib-Al-Islam, Md. M. Islam, M. S. Al-Rakhami, and Md. R. Haque, “Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques,” SN Computer Science, vol. 2, no. 3, Mar. 2021, doi: 10.1007/s42979-021-00551-6.

2. Books / Edited Books / Book Chapters

1. I. Mahmud, *Ferdib-Al-Islam, Md. R. Islam, M. A. Israk, M. S. U. Rahman, and S. Ahuja, “IoT-Based Smart Poultry and Hatchery Farm: An Integrated Solution with Anti-Theft and Fire Alarm System,” in Lecture notes in networks and systems, 2025, pp. 367–377. doi: 10.1007/978-3-031-78934-2_35.
2. Md. S. Parvej, Md. T. Hasan, Md. A. Islam, J. Islam, and *Ferdib-Al-Islam, “Predicting the Impact of Digital Technology on Student’s Academic Performance Using Machine Learning with Local Interpretable Model-Agnostic Explanations,” in Lecture notes in networks and systems, 2025, pp. 196–206. doi: 10.1007/978-3-031-94623-3_17.
3. *Ferdib-Al-Islam, R. Robbani, M. M. Alam, M. S. Sanim, and K. M. Hasan, “ADASEML: Hospitalization period prediction of COVID-19 patients using ADASYN and stacking based ensemble learning,” in Communications in computer and information science, 2023, pp. 3–15. doi: 10.1007/978-3-031-28183-9_1.
4. *Ferdib-Al-Islam, N. Jahan, F. Y. Rupa, S. Sarkar, S. Hossain, and Sk. S. Kabir, “Performance Analysis of ASUS Tinker and MobileNetV2 in Face Mask Detection on Different Datasets,” in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2023, pp. 283–293. doi: 10.1007/978-3-031-34619-4_23.
5. *Ferdib-Al-Islam, M. S. Sanim, Md. R. Islam, S. Rahman, R. Afzal, and K. M. Hasan, “Prediction of dementia using SMOTE based oversampling and stacking classifier,” in Lecture notes in networks and systems, 2023, pp. 441–452. doi: 10.1007/978-3-031-27409-1_40.
6. *Ferdib-Al-Islam and M. Ghosh, “COV-Doctor: A machine learning based scheme for early identification of COVID-19 in patients,” in Lecture notes on data engineering and communications technologies, 2021, pp. 39–50. doi: 10.1007/978-981-16-6636-0_4.
7. L. Akter and *Ferdib-Al-Islam, “Diabetes mellitus prediction and feature importance score finding using extreme gradient boosting,” in Lecture notes in networks and systems, 2021, pp. 643–654. doi: 10.1007/978-3-030-85990-9_52.
8. *Ferdib-Al-Islam and L. Akter, “Detection of hepatitis C virus progressed patient’s liver condition using machine learning,” in Advances in intelligent systems and computing, 2021, pp. 71–80. doi: 10.1007/978-981-16-2594-7_6.
9. L. Akter, M. Raihan, Md. M. S. Raihan, M. Ghosh, N. Alvi, and *Ferdib-Al-Islam, “Breast cancer risk prediction using different clustering techniques,” in Advances in intelligent systems and computing, 2021, pp. 191–203. doi: 10.1007/978-981-16-2597-8_16.

3. Conferences

1. S. Taskin and *Ferdib-Al-Islam, “Transfer Learning-based Fine Tuned MobileNetV2 Model with Explainable Artificial Intelligence for Identifying Dental Diseases,” 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2024, pp. 7-12, doi: 10.1109/BECITHCON64160.2024.10962679.
2. P. Biswas, *Ferdib-Al-Islam and S. Das, “X-LeafNet: A Modified Xception Model for Identifying Tea Leaf Diseases with Explainable Artificial Intelligence,” 2024 International Conference on Innovations in Science, Engineering and Technology (ICISET), Chittagong, Bangladesh, 2024, pp. 1-6, doi: 10.1109/ICISET62123.2024.10941382.
3. Md. Rahatul Islam, A. B. M. Rokon Uz Zaman, *Ferdib-Al-Islam, Faria Tabassum, Md. Araf Israk, and Md. Shakir Mahmud, “Crime Prediction by Detecting Violent Objects and Activity Using Pre-Trained YOLOv8n and MoViNet A0 Models,” 2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA), Karawang, Indonesia, 2023, pp. 44-49, doi: 10.1109/ICMERALDA60125.2023.10458156.
4. M. S. Sanim, *Ferdib-Al-Islam and K. M. Hasan, “Identification of COVID-19 from Other Upper Respiratory Tract Infections Using Random Undersampling and LIME-based XAI Model,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10307102.
5. M. Akhtar, K. A. Ahmed and *Ferdib-Al-Islam, “An Improved Prediction of Polycystic Ovary Syndrome Using SMOTE-based Oversampling and Stacking Classifier,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10307634.
6. *Ferdib-Al-Islam, M. S. Sanim, K. Mehedi Hasan, M. M. Alam, M. A. A. Walid and M. R. Islam, “Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10307833.
7. *Ferdib-Al-Islam, A. Saha, E. J. Bristy, M. Rahatul Islam, R. Afzal and S. A. Ridita, “LIME-based Explainable AI Models for Predicting Disease from Patient’s Symptoms,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10307223.
8. M. R. Islam, M. A. Israk, *Ferdib-Al-Islam, J. Majumder and S. Rahman, “SHD: Development of an Smart Headband for Deafblind People,” 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2023, pp. 1-5, doi: 10.1109/ECCE57851.2023.10101656.
9. S. Parvej, M. A. A. Walid, *Ferdib-Al-Islam and A. Ghosh, “Machine Learning Classifiers for Predicting Influence of Digital Technology on Academic Performance of University Students,” 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-6, doi: 10.1109/ICCCNT54827.2022.9984296.
10. *Ferdib-Al-Islam and P. Chandra Shill, “An Ensemble Learning Model to Detect COVID-19 Pneumonia from Chest CT Scan,” 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-6, doi: 10.1109/ICCCNT54827.2022.9984312.
11. R. Islam, R. Afzal, Asaduzzaman, *Ferdib-Al-Islam and J. Majumder, “COV-SSDS: Design and Construction of Automatic Social Distancing System to Minimize COVID-19 Infection,” 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2022, pp. 1-6, doi: 10.1109/ICAEEE54957.2022.9836350.
12. *Ferdib-Al-Islam, R. Robbani, and M. W. Ullah, “COV-HM: Prediction of COVID-19 Patient’s Hospitalization Period for Hospital Management Using SMOTE and Machine Learning Techniques,” in Proceedings of the 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, 2022, pp. 25–33.
13. *Ferdib-Al-Islam and P. C. Shill, “Identification of COVID-19 from Chest CT Scan Using CNN as Feature Extractor and Voting Classifier,” 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu, Malaysia, 2022, pp. 1-6, doi: 10.1109/IICAIET55139.2022.9936837.
14. *Ferdib-Al-Islam and M. Ghosh, “An Enhanced Stroke Prediction Scheme Using SMOTE and Machine Learning Techniques,” 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2021, pp. 1-6, doi: 10.1109/ICCCNT51525.2021.9579648.
15. M. Ghosh and *Ferdib-Al-Islam, “NDM-Finder: A Machine Learning Based Approach for Type-2 (Neonatal) Diabetes Mellitus Prediction,” 2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu, Malaysia, 2021, pp. 1-6, doi: 10.1109/IICAIET51634.2021.9573579.
16. A. Das, S. D. Katha, M. S. Sadi and *Ferdib-Al-Islam, “An IoT Enabled Health Monitoring Kit Using Non-Invasive Health Parameters,” 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), Rajshahi, Bangladesh, 2021, pp. 1-6, doi: 10.1109/ACMI53878.2021.9528227.
17. L. Akter and *Ferdib-Al-Islam, “Dementia Identification for Diagnosing Alzheimer’s Disease using XGBoost Algorithm,” 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 2021, pp. 205-209, doi: 10.1109/ICICT4SD50815.2021.9396777.
18. *Ferdib-Al-Islam, L. Akter and M. M. Islam, “Hepatocellular Carcinoma Patient’s Survival Prediction Using Oversampling and Machine Learning Techniques,” 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), DHAKA, Bangladesh, 2021, pp. 445-450, doi: 10.1109/ICREST51555.2021.9331108.
19. *Ferdib-Al-Islam and L. Akter, “Early Identification of Parkinson’s Disease from Hand-drawn Images using Histogram of Oriented Gradients and Machine Learning Techniques,” 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE), Bangladesh, 2020, pp. 1-6, doi: 10.1109/ETCCE51779.2020.9350870.

Awards and Achievements

1. Gold Award: “Autism Spectrum Disorder Identification from Facial Images Using Fine Tuned Pre-trained Deep Learning Models and Explainable AI Techniques” at Semarak International Research Article Competition III (SIRAC III) 2024.
2. Best Paper Award: “Diabetes Mellitus Prediction and Feature Importance Score Finding Using Extreme Gradient Boosting” at International Conference on Emerging Technologies and Intelligent Systems (ICETIS) 2021.
3. Honorable Mention Award: “An IoT based Approach Towards Developing Intelligent Health Monitoring and COVID-19 Detection Tool” at 1^st National Workshop on Big Data and Machine Learning (BDML) 2020.

Technical Skills

1. Programming Language: C/C++, Java, Python, MATLAB.
2. Research Paper Writing and Implementation: MS Word, Latex, Mendeley, Google Colab, Scikit-learn, Tensorflow, Keras, and PyTorch.  
3. Web Development: PHP, HTML, CSS, Bootstrap, JavaScript, JQuery.
4. Web Framework: Flask, Django.
5. Mobile Apps Development: Android.
6. Embedded Systems Development: Arduino, Raspberry Pi, ASUS Tinker Board.
7. Database: MySQL, SQLite, SQLite3, DynamoDB.

Courses, Workshops and Trainings

Title	Topic	Institute	Year
Practical Cryptography	Cryptographic Systems, Hash Functions, Block Ciphers, Public Key Cryptography, Key Management Protocols, Public Key Infrastructure (PKI)	Bangladesh Research and Education Network (BdREN)	2020
IBM Data Science Professional	Data Science Orientation, Python for Data Science and AI, Data Science Methodology, Databases and SQL, Data Analysis, Data Visualization, Machine Learning	IBM (Coursera)	2020
Faculty Workshop on Teaching Methodology	Teaching Methodology	Institutional Quality Assurance Cell (IQAC), NUBTK	2020
Data Scientist with Python Track	Data Pre-processing, Exploratory Data Analysis, Data Visualization, Machine Learning	Datacamp	2020
Deep Learning Nanodegree Program	Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, Model Deployment	Udacity	2019
Deep Learning Specialization	Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models	Coursera (deeplearning.ai)	2019

Professional Memberships and Voluntary Works

1. Peer Reviewer (Journal): Journal of Data Science and Intelligent Systems, Health Information Science and Systems, Diagnostics, Multimedia Tools and Applications, PLOS One, SN Computer Science, Informatics in Medicine Unlocked, IEEE Access, Expert Systems, Artificial Intelligence Review, Computer Methods and Programs in Biomedicine Update, Precision Agriculture.
2. Technical Program Committee (TPC) Member: WCAIAA 2026, ACDSA 2026, EICT 2025, ICCI 2025, CSCT 2025, ITI 2025, CIMA 2025, SOCC 2025, ICSISCET 2025, ISITIA 2025, ICCCNT 2025, ICISAS 2025, ICCA 2024, COMNETSAT 2024, BIM 2023, many more.
3. Member: International Association of Engineers (IAENG), September 2025 – Present.
4. Former Editor-in-Chief: Bangladesh Advance Robotics Research Center (BARRC), June 2023 – June 2025.
5. Former Member: Institute of Electrical and Electronics Engineers (IEEE), July 2021 – December 2021.
6. Former Associate Member: Bangladesh Computer Society, April 2019 – December 2021.
7. Former Professional Member : Association for Computing Machinery (ACM), July 2020 – July 2021.
8. Former Advisor : Space Robotics Lab (Bangladesh Advance Robotics Research Center), July 2020 – December 2020.

Co-Curricular and Extra-Curricular Achievements                                                              

1. Programming Contest
   Champion – CSE IT Carnival BSMRSTU (Programming Contest), 2015.
2. Debate

Runner-up – BFDS Intra Department Debate Contest, 2015.

Champion and Best Debater – CSE IT Carnival BSMRSTU Debate Contest, 2015.

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