ORCID: https://orcid.org/0009-0001-7794-1226
Google Scholar: https://scholar.google.com/citations?hl=en&user=BBuEfjsAAAAJ
Research Gate: https://www.researchgate.net/profile/Noshin-Un-Noor
Noshin Un Noor is a dedicated
academic and researcher with a strong foundation in Machine Learning,
Artificial Intelligence, and Cybersecurity. She currently serves as a Lecturer
in the Department of Computer Science & Engineering at World University of Bangladesh, since January 2023. With a
Master’s and Bachelor's degree in Information and Communication Engineering
from Bangladesh University of Professionals.
Her research portfolio includes
several impactful publications in peer-reviewed journals and IEEE conferences.
Noshin has led and contributed to projects that leverage convolutional neural
networks for skin disease diagnosis and crop health monitoring—key efforts
aimed at improving agricultural sustainability and accessible healthcare. Her
work also extends into cybersecurity, where she has explored AES-based
protocols for online banking and designed intrusion detection systems using
recurrent neural networks for critical infrastructure protection. Additionally,
she has contributed to innovative solutions in IoT-based environmental
monitoring and video steganography using hybrid algorithms.
Alongside her academic work,
Noshin brings two years of experience in the IT industry, which enriches her
research with practical insights into real-world system implementation and
software development. With hands-on expertise in tools like Python, MATLAB, and
Arduino, and a strong foundation in data mining, software testing, and system
design, she continues to bridge academia and industry in pursuit of scalable,
intelligent, and secure solutions.
Mohammad Anwar Hossain, Noshin Un Noor, Ahsan Ullah,
Md. Sabbir Hossain Noman, Shubra Das Pranta, Lubna Mostafa Bristy, Md. Mainul
Bashar (2024) Enhancing Video Steganography Techniques Using Hybrid Algorithms.
Open Access Library Journal, 11, 1-21.
Mohammad Anwar Hossain, Newaz Ibrahim
Khan, Noshin Un Noor et al “Crop health analysis system: Integrating machine
learning for disease detection in agricultural images”, International Journal
of Computing and Artificial Intelligence 2025; 6(1): 123-132. DOI:
https://www.doi.org/10.33545/27076571.2025.v6.i1b.141
Noshin Un Noor, Mohammad Anwar Hossain, Mosarrof Hossain et al.(2025).
Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural
Networks for Image-Based Prediction and Comprehensive Health Assistance. Open
Journal of Medical Imaging (OJMI)Vol.15 No.1, March 2025. DOI:
10.4236/ojmi.2025.151001
Mohammad Anwar Hossain, Noshin Un Noor, Ajmira Yeasmin, Mahfuja Jannat Chowdhury Ritu, Sweety Sarker. Design and implementation of GPS controlled environment monitoring system based on internet of things. Int J Circuit Comput Networking 2023;4(2):21-30. DOI: 10.33545/27075923.2023.v4.i2a.59222
Noshin Un Noor, Farjana Tumpa, Md. Murshedul Arifeen, Sm Rakibul Hasan, Dilshad Ara Hossain and SM Salim Reza. AES based security scheme to remove man-in-the middle attack in online banking. Int. J. Res. Eng. 2023;5(1):13-17. DOI: 10.33545/26648776.2023.v5.i1a.46
Md. Hafizur Rahman
Roni; Md. Ibrahim Adham Aomy; Shamsun Nahar; Noshin Un Noor; Mohammad Anwar
Hossain "Comparative Analysis of Deep Learning Techniques for Rice Leaf
Disease Detection: Object Detection and YOLO Model Evaluation," 2025
International Conference on Electrical, Computer and Communication Engineering
(ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11012997.
Md. Mahedi Hassan;
Noshin Un Noor; Mohammad Anwar Hossain; Md. Shahariar Sarkar; Ayesha Siddika;
Sagar Kumer Ghosh "Enhancing Drinking Water Quality Assessment: An
Exploration of Elemental Composition for Drinkable Water," 2025
International Conference on Electrical, Computer and Communication Engineering
(ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11013463.
Md. Nazmus Sakib;
Afzal Hossain; Ahsan Ullah; Mst. Nishita Aktar; Noshin Un Noor; Kh. Mustafizur
Rahman "Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks," 2024 IEEE International Conference on Computing, Applications and
Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-5, doi: 10.1109/COMPAS60761.2024.10797009.
