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. Awais, Muhammad, 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. Mustafa, Ghulam, 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.

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. 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.
7. 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.
8. 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).
9. Peyal, Hasibul Islam, 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.
10. Sultana, Abida, 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.
11. Ahmed, Kazi Fardeen, 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.
12. Bakchy, Sagor Chandro, 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.
13. Ratul, Md Toyaha Rahman, 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.