Education

• M.Sc. in Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology (BUET), Ongoing.
• B.S. in Information and Communication Engineering, Pabna University of Science and Technology, 2022.

Work experience

• Lecturer, Computer Science and Engineering
  • Green University of Bangladesh
  • Spring, 2022 - Till now
• Program Coordinator, Computer Science and Engineering
  • Green University of Bangladesh
  • February, 2022 - Till now
• Research Assistant
  • Computer Vision Lab, Dept. of ICE, PUST.
  • November 2021 - January 2022

Skills

• Coading
  • Python
  • C++
  • C
  • PHP
  • Java
• Deep Learning
  • PyTorch
  • Keras
• Web Framework
  • Wordpress
  • Django
  • Flask
  • Bottle
• VCS
  • git
• OS
  • Linux

Publications

An IoT Based Water Quality Testing Device: An Approach to Modelling a Geographical Map Based on Water Quality Data and Decision Support System

M. R. Hassan, P. K. Podder, T. Debnath, and M. O. Faruk “An IoT Based Water Quality Testing Device: An Approach to Modelling a Geographical Map Based on Water Quality Data and Decision Support System”, International Journal of Advanced Trends in Computer Science and Engineering, Volume 10, No.2, Pages: 1091-1099, April 2021 (ISSN 2278-309)

Eye Tracking, Saliency Modeling and Human Feedback Descriptor Driven Robust Region-of-Interest Determination Technique

M. Paul, P. K. Podder and M. R. Hassan, "Eye Tracking, Saliency Modeling and Human Feedback Descriptor Driven Robust Region-of-Interest Determination Technique," in IEEE Access, vol. 10, pp. 98612-98624, 2022, doi: 10.1109/ACCESS.2022.3206045.

A Sign Language Recognition System for Helping Disabled People

H. Adhikari, M. S. Bin Jahangir, I. Jahan, M. S. Mia and M. R. Hassan, "A Sign Language Recognition System for Helping Disabled People," 2023 5th International Conference on Sustainable Technologies for Industry 5.0 (STI), Dhaka, Bangladesh, 2023, pp. 1-6, doi: 10.1109/STI59863.2023.10465011.

UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation

Hassan R, Mondal MRH, Ahamed SI (2024) UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation. PLOS ONE 19(6): e0304771. https://doi.org/10.1371/journal.pone.0304771

Uncertainty Driven Bottleneck Attention U-Net For Organ at Risk Segmentation

A. Nazib, R. Hassan, Z. Islam and C. Fookes, "Uncertainty Driven Bottleneck Attention U-Net For Organ at Risk Segmentation," 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024, pp. 1-5, doi: 10.1109/ISBI56570.2024.10635587.