Profile

Faria Afrin Niha

Faria Afrin Niha

Lecturer

Email: faria.afrin@bu.edu.bd

Experience

Faria Afrin Niha is a part time Lecturer in the Department of Computer Science & Engineering at Bangladesh University, with an academic background in Computer Science & Engineering and experience in higher education. She holds both a Master of Science in Computer Science & Engineering and a Bachelor of Science in Computer Science & Engineering from Jagannath University. Her academic background and teaching experience reflect a strong foundation in computer science education and academic instruction.

Academic Experience

Faria Afrin Niha has experience teaching Computer Science & Engineering at several higher education institutions in Bangladesh. She served as a Lecturer in the Department of CSE at Bangladesh University from June 2024 to May 2025. She subsequently served as a Lecturer in the Department of CSE at Daffodil International University from June 2025 to August 2025 and as a Lecturer in the Department of CSE at European University of Bangladesh from July 2023 to January 2025. Through these roles, she has gained diverse experience in academic instruction and student engagement within the field of Computer Science & Engineering.

Research

Research Work

1. Android Development- Recycle Bin, Online Movie Ticket Booking System
2. Web Design & Development Peripheral- Online Food Ordering System
3. Peripheral- Automatic Railway Gate Controller

Thesis:
1. Development of Advanced Encryption Standard cryptographic algorithm for power constrained devices
2. Multilingual Hate Speech Detection using Explainable AI and Machine Learning

Publications

1. Faria Afrin Niha, Shahanaz Islam Shaown, Mohammed Nasir Uddin, Tanvir Ahammad. Development of Advanced Encryption Standard cryptographic algorithm for power constrained devices, 3rd International Conference on Mechanical Engineering and Applied Science, 2025(ICMEAS 2025)
2. Md. Nazmul Abdal, Shahanaz Islam Shaown and Faria Afrin Niha, Multiclass Classification of Eye Diseases from Color Fundus Images Using Optimized DenseNet201 with Hyperparameter Tuning, 3rd International Conference on Big Data, IoT and Machine Learning, 2025, (BIM 2025)

5/B, Beribandh Main Road, Adabar, Mohammadpur, Dhaka 1207

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