CSE Adjunct Lecturer

Md. Rahad Islam Bhuiyan

Educational Qualifications:

Publications:

1. Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation 
   https://journals.sagepub.com/doi/full/10.1177/20552076231215915
   
   
2. Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network 
   https://journals.sagepub.com/doi/full/10.1177/20552076241251660
   
   
3. Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features
    https://link.springer.com/article/10.1007/s00432-023-05464-w)
   
   
4. Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention Network
    https://link.springer.com/article/10.1007/s10278-024-00983-5

Training:

Course: 3rd ELC (Entrepreneurship, Leadership, and Communication) From Sultan Agung Islamic University, Indonesia.

Course: 2nd position in “Data Analytics” by Commonwealth of Learning & DIU Advanced ICT Skills Training

Extracurricular activities:

Feb 2022 – Feb 2023:  Assistant Press Secretary || Computer and Programming Club || DIU

Feb 2023 – Jan 2024:  Vice President – Research & journal wing || Computer and Programming Club || DIU

Organizer:

1. Take off programming Contest

2. National Girls Programming Contest

3. 15th AUAP General Conference 2023