Md. Nazmul Abdal

Md. Nazmul Abdal has been serving as a Lecturer in the Department of Computer Science and Engineering (CSE) at ULAB. He completed his B.Sc. in Computer Science and Engineering from Khulna University, Bangladesh. He has completed his M.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET), Bangladesh. He has also worked as a full-time Lecturer in the department of CSE at Uttara University. His research interests lie in Machine Learning, Deep Learning, Natural Language Processing, and Internet of Things (IoT).

Department of Computer Science and Engineering (CSE)
Bachelor of Science, Computer Science and Engineering (CSE)

B.Sc. in Computer Science and Engineering (CSE), Khulna University

M.Sc. in Computer Science and Engineering (CSE), BUET

Machine Learning, Deep Learning, Natural Language Processing, Internet of Things (IoT)

1. Muhammad Awais, Md Nazmul Abdal, Tallha Akram, Areej Alasiry, Mehrez Marzougui, and Anum Masood. “An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.” Frontiers in Oncology 14 (2024): 1328200.
    
2. Ghulam Mustafa, Naveed Ahmad Jhamat, Zeeshan Arshad, Nadia Yousaf, Md Nazmul Abdal, Mohammed Maray, Dokhyl Alqahtani, Mohamad Amir Merhabi, Muhammad Abdul Aziz, and Touseef Ahmad. “OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations.” IEEE Access 12 (2024): 42329-42342.
    
3. Ghulam Mustafa, Naveed Ahmad Jhamat, Zeeshan Arshad, Nadia Yousaf, Md Nazmul Abdal, Mohammed Maray, Dokhyl Alqahtani, Mohamad Amir Merhabi, Muhammad Abdul Aziz, and Touseef Ahmad. “Corrections to OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations.” IEEE Access 13 (2025): 30833-30833.

1. Md Nazmul Abdal, Khairum Islam, Most Humayera Kabir Oshie, and Md Azizul Haque. “A CNN Based Model for Plant Disease Classification using Transfer Learning.” In 2023 26th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2023.
    
2. Md Nazmul Abdal, Most Humayera Kabir Oshie, Md Azizul Haue, and Khairum Islam. “A Transformer Based Model for Twitter Sentiment Analysis using RoBERTa.” In 2023 26th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2023.
    
3. Md Nazmul Abdal, Most Humayera Kabir Oshie, Md Azizul Haque, and Salman Rahman. “A Transformer Based Model for Bangla Fake News Detection Using DistilBERT.” In 2023 5th International Conference on Sustainable Technologies for Industry 5.0 (STI), pp. 1-6. IEEE, 2023.
    
4. Md Nazmul Abdal, Most Humayera Kabir Oshie, Md Azizul Haque, and Sumaya Rahman. “A Robust Model for Effective Spam Detection Based on ALBERT.” In 2023 6th International Conference on Electrical Information and Communication Technology (EICT), pp. 1-6. IEEE, 2023.
    
5. Md Nazmul Abdal, Md Azizul Haque, Most Humayera Kabir Oshie, and Sumaya Rahman. “Multilingual Toxic Comment Classification Using Bidirectional LSTM.” In International Conference on Electrical and Electronics Engineering, pp. 305-319. Singapore: Springer Nature Singapore, 2023.
    
6. Kazi Fardeen Ahmed, Md Shahid Uz Zaman, Hasibul Islam Peyal, Anika Hossain, Md Toyaha Rahman Ratul, Md Nazmul Abdal, and Md Injamul Islam. “An Interpretable Framework for Predicting Type 2 Diabetes using ML and Explainable AI.” In 2023 26th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2023.
    
7. Sagor Chandro Bakchy, Hasibul Islam Peyal, Md Injamul Islam, Golam Kibria Yeamin, Shafiun Miraz, and Md Nazmul Abdal. “A Lightweight-CNN Model for Efficient Lung Cancer Detection and Grad-CAM Visualization.” In 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), pp. 254-258. IEEE, 2023.
    
8. Md Toyaha Rahman Ratul, Shyla Afroge, Hasibul Islam Peyal, Dia Zafrin, Kazi Fardeen Ahmed, and Md Nazmul Abdal. “Detection of Primary Open Angle Glaucoma Based on Deep CNN Using Fundus Images.” In 2023 26th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2023.
    
9. Md. Nazmul Abdal, Khairum Islam, Shahanaz Islam Shaown, and Rutba Aman. “A CNN Based Approach to Classify Cervical Cancer using Transfer Learning.” In 3rd International Conference on Advanced Communication and Intelligent Systems (ICACIS 2024), New Delhi, India.
    
10. Md. Nazmul Abdal, Shahanaz Islam Shaown, Khairum Islam, and Rutba Aman. “Enhancing E-Commerce Text Classification: A GRU-Based Approach for Improved Product Understanding.” In 5th International Conference on Electrical and Electronics Engineering (ICEEE 2024), Melbourne, Australia.
     
11. Md. Nazmul Abdal, Md. Azizul Haque, Md. Mehedi Hassan, Md. Nasim Adnan, Apurba Adhikary, Sujit Biswas and Anupam Kumar Bairagi. “IoT-Based Mushroom Farming, and Classification of Mushroom Using Deep Learning.” In 2nd International Conference on Machine Intelligence and Emerging Technologies (MIET 2024).
     
12. Hasibul Islam Peyal, Zannatul Mawa Leion, Md Nazmul Abdal, Md Injamul Islam, Shafiun Miraz, Mahmudur Rashid Remon, Md Mahin Rahaman Kontho, and Nishat Tasnim. “A Lightweight CNN-SVM Explainable AI Approach for Classification and Visualization of Grape Leaf Disease.” In 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), pp. 1-5. IEEE, 2024.
     
13. Abida Sultana, Hasibul Islam Peyal, Md Injamul Islam, Md Nazmul Abdal, Shafiun Miraz, Md Mahin Rahaman Kontho, Zannatul Mawa Leion, and Abdul Al Mamun. “Secured Entry Control: An IoT and Deep Learning based Mask Detection System for COVID-19 Suspected Patient Screening and Access Regulation.” In 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), pp. 1-5. IEEE, 2024.
     
14. Md Nazmul Abdal, Shahanaz Islam Shaown, & Faria Afrin Niha. “Multiclass classification of eye diseases from color fundus images using optimized DenseNet201 with hyperparameter tuning.” In Proceedings of the 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025).
     
15. Md Nazmul Abdal, Nayan Chandra Das, Shahanaz Islam Shaown, & Alamgir Hossain. “An Integrated DistilBERT-GRU Deep Learning Framework for High Precision Fake News Detection in Bangla Language.” In Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025).
     
16. Md Nazmul Abdal, Ryhan Ahmed Tamim, and Nayan Chandra Das. “Genetic Algorithm-Based Metaheuristic Optimization of Task Assignment for Enhanced Sprint Capacity Utilization.” In Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025).
     
17. Samiul Islam Ramim, Md Abdur Rahman, Fahim Sadik, and Prionti Das, and Md Nazmul Abdal. “Real-time posture tracking and visual feedback for improving exercise performance using deep learning.” In Proceedings of the 28th International Conference on Computer and Information Technology (ICCIT 2025).
     
18. Sudipta, K. T. T., Jannatul Ferdous, Adib Ahsan, Tasfia Tabassum, and Md Nazmul Abdal. “A hybrid deep learning architecture combining audio spectrogram transformer and ResNet-18 head for efficient music genre classification.” In Proceedings of the 28th International Conference on Computer and Information Technology (ICCIT 2025).
     
19. Kausar Ahmed, Bibhor Regan Gomes, S.m. Jobair Hossain, Emran Khan Musa, Md. Nazmul Abdal, and Suravi Akhter. “Optimized ResNet50 with hyperparameter tuning for glaucoma detection in retinal OCT images.” In Proceedings of the 16th International IEEE Conference on Computing, Communication and Networking Technologies (ICCCNT 2025).
     
20. Nupur Alam, Washifa Akter, Fatema-Tuz-Zahura Anannya, and Md. Nazmul Abdal. “A Hybrid Machine Learning Framework for Early Detection of Mental Health Conditions of University Students”. In Proceedings of the 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE 2026).
     
21. Md Al Esaimeen, Mim Akter, Tania Tarannum Nabila, Tarana Tanjin Labiba, and Md Nazmul Abdal. “A Lightweight Deep Learning Framework with Grad-CAM-Based Explainability for Multiclass Classification of Gallbladder Diseases from Ultrasound Images”. In Proceedings of the International Conference on Electrical, Computer and Communication Technologies (ECCT 2026).
     
22. Adib Ahasan Chowdhury, Tasnim Jannat Adrita, Suriya khan Suzana, Roksana Akter Mim, and Md Nazmul Abdal. “Improving Urban Traffic Flow with Dueling Double Deep Q-Networks for Variable Speed Control in SUMO”. In Proceedings of the International Conference on Electrical, Computer and Communication Technologies (ECCT 2026).