Md Iftakhar Kabir Sakur
Game Developer | Programmer
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Research Work

Published Research

Research Topic: Brain Tumor Classification

Paper Title: A Hybrid Res-BRNet Architecture for Efficient and Accurate Brain Tumor Classification

Published in: Conference: 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)

Description: The model was evaluated using important measures like F1 score, accuracy, precision, recall, and sensitivity. Res-BRNet shows great accuracy, precision, and F1 scores in the experimental findings showing 98.83% in the classifying of gliomas, meningiomas, and pituitary tumors.

Year: 2025

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Research Under Review

Research Topic: Face Recognition

Paper Title: Real-Time Multi-Class Face Recognition Using Deep Embedding and a Novel Lightweight Deep Learning Model

Published in: Under Review

Description: This study achieved state-of-the-art accuracy of 94% on a larger dataset with 5,817 labels from online and 99.37% on a self-collected smaller dataset with 68 labels and 1,564 augmented samples.

Year: NOT AVALAIBLE

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Ongoing Research

Research Topic: Social Media Bot Detection

Paper Title: n/a

Published in: NOT YET

Description: NOT YET

Year: NOT AVALAIBLE

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Research Interests

  • Artificial Intelligence and Machine Learning
  • Computer Vision and Deep Learning
  • Image Processing
  • Different Mysterious Events of the Earth
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