Nabil Daiyan
Lecturer, BUFT
About
Nabil Daiyan currently serves as a Lecturer in the Department of Computer Science and Engineering at BGMEA University of Fashion & Technology, Bangladesh. He holds a Bachelor’s degree in Computer Science and Engineering from Rajshahi University of Engineering and Technology and has a background rich in hands-on experience with machine learning, artificial intelligence, and biomedical engineering.
His research interests include computer vision, medical image analysis, and pattern recognition, with a growing focus on Large Language Models (LLMs) and similar AI advancements. With a strong foundation in both C/C++ and Python, he brings a practical approach to his teaching, integrating real-world applications into his lessons. He is also actively involved in developing intelligent AI-driven solutions for industry challenges, focusing on improving efficiency and supporting informed decision-making across various sectors.
Teaching/Research Specialization
- Machine Learning & Artificial Intelligence
- Computer Vision
- Medical Image Analysis
- Pattern Recognition
Publications
[1]. Exploring the Efficacy of Modified Transfer Learning in Identifying Parkinson's Disease Through Hand Drawn Image Patterns | Publisher: IEEE Xplore