Profile

Md. Nasif Osman Khansur

মোঃ নাসিফ ওসমান খানশূর

Lecturer

I specialize in machine learning and computer vision, focusing on developing innovative algorithms and solutions that advance the field. My work has earned me awards for leadership and excellence, highlighting my commitment to pushing the boundaries of technology. I've also received prestigious scholarships, underscoring my academic achievements and potential. My teaching training has equipped me with effective communication skills, and my industry expertise provides a practical perspective on applying cutting-edge techniques in real-world scenarios.
Field of Research
  •  Artificial Intelligence
  •  Machine Learning
  •  Deep Learning
  •  Medical Image Analysis
  •  Computer Vision
  •  Human-Computer Interaction

  •  First Joined: 23rd Jan, 2024
  •      Dept. of Computer Science & Engineering

Position

Education

Book / Book Chapter
3
Journal Articles
1
Conference Papers
6
SL Authors Title Publisher Details Publication Year Type
1 Md. Nasif Osman Khansur and Boshir Ahmed A lightweight mobile-based attention U-Net with Grad-CAM interpretability for efficient brain tumor segmentation and visualization Taylor & Francis 2025 Book Chapter
2 Pritam Acharjee, Md. Nasif Osman Khansur, Boshir Ahmed An advanced deep learning framework for image captioning utilizing a customized EfficientNet-B0 backbone integrated with LSTM Taylor & Francis 2025 Book Chapter
3 M. M. J. A. Sejan, M. F. Farukuzzaman, I. Khan, M. S. Maliick, and M. N. O. Khansur MicroBERT: An efficient lightweight transformer for fake news detection via knowledge distillation and post-training quantization Taylor & Francis 2025 Book Chapter
4 M. T. Sabira, M. F. Farukuzzaman, M. N. O. Khansur, A. Y. Srizon, and S. M. M. Hasan Weighted DenseNet ensemble with transformer encoder and external attention for gastrointestinal disease classification IEEE Xplore 2025 Conference
5 Nasif Osman Khansur, Abu Sayeed, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Salem A. Alyami, AKM Azad, Mohammad Ali Moni An effective screening of COVID-19 pneumonia by employing chest X-ray segmentation and attention-based ensembled classification The Institution of Engineering and Technology - John Wiley & Sons' 2024 Journal
6 S. M. R. Kabir, A. Y. Srizon, N. T. Esha, M. F. Farukuzzaman, S. M. M. Hasan, M. N. Khansur, and M. M. Islam Student distraction detection and concentration analysis via transfer learned convolutional neural networks IEEE Xplore 2024 Conference
7 M. Rahman, S. Agarwala, A. Y. Srizon, N. T. Esha, M. F. Farukuzzaman, S. M. M. Hasan, and M. N. Khansur A cost-effective approach to Bengali handwritten character recognition with custom convolutional neural network IEEE Xplore 2024 Conference
8 M. M. Hasib, M. F. Farukuzzaman, S. M. M. Hasan, M. A. Mamun, A. Y. Srizon, A. H. Efat, M. R. Hossain, and M. N. Khansur Improved skin lesion detection with double layer concatenated DenseNet using transfer learning and attention modules IEEE Xplore 2024 Conference
9 O. T. Ahmmed, M. F. Farukuzzaman, A. Y. Srizon, S. M. M. Hasan, M. N. Khansur, A. H. Efat, M. R. Hossain, and M. A. Mamun Shallow tuned DenseNet: A lightweight convolutional neural network approach for enhanced skin lesion recognition IEEE Xplore 2024 Conference
10 M. T. Sabira, M. F. Farukuzzaman, S. M. M. Hasan, A. Y. Srizon, M. N. Khansur, M. A. Mamun, and M. R. Hossain Bengali handwritten character recognition enhanced with morphological preprocessing and attention mechanism-based convolutional neural network ACM Digital Library 2024 Conference
  •  Excellence in Leadership, Dept. of CSE, RUET
Phd Students
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Masters Students
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Activity Description