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.


Linkedin

Teaching/Research Specialization

His areas of specialization include:

  • 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

Skills


Teaching
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Research
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Communication
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Management
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