Nahid Hasan

Lecturer, Computer Science & Engineering · East West University (EWU) — Department of Computer Science & Engineering

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Nahid Hasan is a Lecturer in the Department of Computer Science and Engineering with extensive experience in teaching, research, and academic service. He obtained his B.Sc. in Computer Science and Engineering from Ahsanullah University of Science and Technology (AUST) and his M.Sc. in Computer Science and Engineering from BRAC University. He served as a Lecturer in the Department of Computer Science and Engineering at Daffodil International University from January 2021 to January 2024 and subsequently at Southeast University, Bangladesh, from January 2024 to September 2025. His research focuses on Federated Learning, Machine Learning, Deep Learning, Computer Vision, Privacy-Preserving Artificial Intelligence, and Intelligent Transportation Systems. Mr. Hasan has authored several peer-reviewed publications in internationally recognized journals and conferences, including Information Fusion (Elsevier, Q1), the Bulletin of Electrical Engineering and Informatics (BEEI) , and IEEE…

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Faculty: Faculty Faculty of Sciences and Engineering
Research Interest: Deep Learning, Machine Learning, Federated Learning
Teaching Materials: Teaching Area Artificial Intelligence , Data Communication, Web programming, Structured programming languages, Compiler Design , Object Oriented Programming .
Academic Background: MSc in Computer Science and Engineering, BRAC University. BSc in Computer Science and Engineering, Ahsanullah University of Science and Technology (AUST).
Awards & Achievements: Dean’s Award[Undergraduate Program]
Selected Publications: Journal Conference Abid Bin Ahosan, Forhadul Islam, Khandaker Mohammad Mohi Uddin, Nahid Hasan, Md Ashraf Uddin (2025). Improving Hepatitis B outcome prediction with ensemble machine learning: A study on predictive models and interpretability. Digital Health , Volume: 11 , Pages: 20552076251350755. Nahid Hasan, Md Golam Rabiul Alam, Shamim H Ripon, Phuoc Hung Pham, Mohammad Mehedi Hassan (2025) . An autoencoder-based confederated clustering leveraging a robust model fusion strategy for federated unsupervised learning. Information Fusion , Volume : 115 , Pages: 102751. Nahid Hasan, Johora Akter Polin, Md Rayhan Ahmmed, Md Mamun Sakib, Md Farhan Jahin, Md Mahfuzur Rahman (2024). A novel approach to analyzing the impact of AI, ChatGPT, and chatbot on education using machine learning algorithms. Bulletin of Electrical Engineering and Informatics , Volume: 13, Issue: 4, Pages: 2951-2958. Johora Akter Polin, Nahid Hasan, Md Tarek Habib, Atiqur Rahman, Zannatun Nayem Vasha, Bidyut Sharma (2024). Tomato pest recognition using convolutional neural network in Bangladesh. Bulletin of Electrical Engineering and Informatics , Volume: 13, Issue: 1, Pages: , 619-627. Shadman Sakib, Md Afranul Haque Mridha, Nahid Hasan, Md Toasin Habib, Md Shahriar Mahbub (2022, December). Event detection from cricket videos using video-based CNN classification of umpire signals. In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-5). IEEE.
Professional Experience: Lecturer | Daffodil International University | January. 2021 – January 2024 Lecturer | Southeast University | January. 2024 – September 2025
Affiliation Professional Membership: no content

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