Sultanul Arifeen Hamim
Lecturer | Department of Computer Science & Engineering
Research Assistant
Contact:
Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani.
Dhaka-1213, Bangladesh
E-mail:
arifeenhamim@gmail.comTelephone:
Office:
Cell:
American International University-Bangladesh On Going- (Expected Dec-2024)
Master of Science in Computer Science (MSc in CS)
Specialized In Intelligent Systems
Current CGPA: 4.00/4.00
American International University-Bangladesh 2023
Bachelor of Science in Computer Science & Engineering (BSc. In CSE)
Major In Information System
CGPA: 3.92/4.00
I am Sultanul Arifeen Hamim, working as an Instructor in the Department of Computer Science. With a deep-rooted passion for technology and innovation, I specialize in Data Science, Artificial Intelligence, Machine Learning, and the Internet of Things (IoT). My academic and professional path is marked by a relentless pursuit of knowledge and excellence in these fields. As a dedicated educator and tech enthusiast, I am committed to exploring the intersection of technology and practical applications, aiming to bridge the gap between theoretical knowledge and real-world solutions. My interests define my teaching philosophy and drive my continuous engagement with cutting-edge research and development projects. Through my work, I strive to inspire students and peers alike, fostering an environment of curiosity, innovation, and lifelong learning in the ever-evolving landscape of computer science.
Journal Publications:
1. S M Abdullah Shafi, Myesha Samia, and Sultanul Arifeen Hamim, “Emotion Classification in Bangla Text Data Using Gaussian Naive Bayes Classifier: A Computational Linguistic Study”, Malaysian J. Sci. Adv. Tech., vol. 4, no. 4, pp. 405–412, Sep. 2024. [Online]. Available:http://dx.doi.org/10.56532/mjsat.v4i4.273.
2. Hamim, S.A. and Jony, A.I., 2024. Enhanced deep learning model architecture for plant disease detection in Chilli plants. Journal of Edge Computing [Online].Available from:https://doi.org/10.55056/jec.758
3. Jony, A.I. and Hamim, S.A., 2024. Empowering virtual collaboration: harnessing AI for enhanced teamwork in higher education. Educational Technology Quarterly [Online]. Available:https://doi.org/10.55056/etq.746.
4. S. A. Hamim and A. I. Jony, “Enhancing Brain Tumor MRI Segmentation Accuracy and Efficiency with Optimized U-Net Architecture”, Malaysian J. Sci. Adv. Tech., vol. 4, no. 3, pp. 197–202, Jun. 2024. [Online]. Available: https://doi.org/10.56532/mjsat.v4i3.3025.
5.Jony, A. I., Hamim, S.A. (2023). Navigating the Cyber Threat Landscape: A Comprehensive Analysis of Attacks and Security in the Digital Age. Journal of Information Technology and Cyber Security, 1(2), 53-67.[Online]. Available: https://doi.org/10.30996/jitcs.97155.
6. Nyme Ahmed, Sultanul Arifeen Hamim, Dip Nandi, "A Comprehensive Study to Analyze Student Evaluations of Teaching in Online Education", International Journal of Modern Education and Computer Science(IJMECS), Vol.16, No.5, pp. 105-117, 2024.[Online]. Available DOI:10.5815/ijmecs.2024.05.07
7. Sultanul Arifeen Hamim, Farnaz Faria, Tasnim Hassan Ahona, and M. F. Mridha, Trustworthiness of Generative Artificial Intelligence in Healthcare: A Survey,” Healthcare Analytics., 2024.[Under Review]
8. Sultanul Arifeen Hamim, Mubasshar U. I. Tamim , M. M. Hasan, M. F. Mridha and Zeyar Aung ,Advancing Diabetic Retinopathy Diagnosis: Integration of Tailored MobileNet Architecture and Explainable AI,” Informatics in Medicine Unlocked ., 2024.[Under Review]
9.Sultanul Arifeen Hamim, Farzana Faiza , Sajid Mahbub, Saima Sadia Ratri and Dip Nandi, A Comparative Analysis of Deep Learning Models on Crime Intention Identification,” AIUB Journal of Science and Engineering., 2024.[Under Review]
Conference Publications:
10. Sajid Mahbub,Saima Sadia Ratri,Sultanul Arifeen Hamim and Muhibul Haque Bhuyan, IoT-Based Smart Poultry and Fish Farming System Using Arduino,” in Workshop on the International Conference on Bangabandhu and Digital Bangladesh 2023 (WICBBDB 2023), 2024.
Intern : Klatch Technologies March 2023-June 2023
· Responsible Work:Data annotation, Data collection classification, Sentiment analysis, Web-based research, and Search engine relevance assignments.
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