Md. Riad Hassan | Green University of Bangladesh

Md. Riad Hassan

Lecturer

M.Sc.
Bangladesh University of Engineering and Technology (BUET)

Bachelor of Science (Engineering) 
Pabna University of Science and Technology (PUST)

Higher Secondary Certificate
Al-Hera Academy (School & College)

Secondary School Certificate
Al-Hera Academy (School & College)

Lecturer

Duration: February 2022 ~ till date
Department of Computer Science and Engineering
Green University of Bangladesh, Dhaka, Bangladesh.

Research Assistant

Duration: November 2021 – January 2022
Computer Vision Lab, Department of Information and Communication Engineering,
Pabna University of Science and Technology, Pabna.

  1. R. Hassan, M. R. H. Mondal, S. I. Ahamed, F. Mostafa, and M. M. Rahman, “An efficient dual-line decoder network with multi-scale convolutional attention for multi-organ segmentation,” Biomed. Signal Process. Control, vol. 112, Art. no. 108611, 2026, doi: 10.1016/j.bspc.2025.108611. [Github: https://github.com/riadhassan/EDLDNet]
  2. S. M. D. R. Islam, R. Hassan, A. Nazib, K. Nguyen, Z. Islam, and C. Fookes, “Size and smoothness aware adaptive focal loss for small tumor segmentation,” arXiv preprint, arXiv:2407.09828, 2025. [Github: https://github.com/rakibuliuict/AFL-CIBM]
  3. M. Afroj, M. R. H. Mondal, M. R. Hassan, and S. Akter, “MobDenseNet: A hybrid deep learning model for brain tumor classification using MRI,” Array, vol. 26, Art. no. 100413, 2025, doi: 10.1016/j.array.2025.100413.
  4. R. Hassan, M. R. H. Mondal, and S. I. Ahamed, “UDBRNet: A novel uncertainty-driven boundary-refined network for organ-at-risk segmentation,” PLOS ONE, vol. 19, no. 6, pp. 1–18, 2024, doi: 10.1371/journal.pone.0304771. [Github: https://github.com/riadhassan/UDBRNet]
  5. A. Nazib, R. Hassan, Z. Islam, and C. Fookes, “Uncertainty driven bottleneck attention U-Net for organ-at-risk segmentation,” in Proc. IEEE Int. Symp. Biomed. Imaging (ISBI), Athens, Greece, 2024, pp. 1–5, doi: 10.1109/ISBI56570.2024.10635587. [Github: https://github.com/riadhassan/UDBA-UNet]
  6. M. D. R. Islam, A. Nazib, R. Hassan, A. R. Refat, K. Nguyen, C. Fookes, and M. Z. Islam, “Automated radiomics-based clinically significant prostate cancer (csPCa) grade classification from biparametric MRI,” in Proc. Int. Conf. Digit. Image Comput.: Techn. Appl. (DICTA), Perth, Australia, 2024, pp. 454–461, doi: 10.1109/DICTA63115.2024.00073.
  7. M. Ali, M. Hasan, M. N. Meem, F. Naznin, R. Hassan, and M. Z. Islam, “Enhancing visibility for autonomous vehicle object detection in dust or sandstorm conditions using dark channel prior and YOLOv9,” in Proc. 6th Int. Conf. Sustain. Technol. Ind. 5.0 (STI), 2024, pp. 1–6, doi: 10.1109/STI64222.2024.10951081.
  8. H. Adhikari, M. S. Bin Jahangir, I. Jahan, M. S. Mia, and M. R. Hassan, “A sign language recognition system for helping disabled people,” in Proc. 5th Int. Conf. Sustain. Technol. Ind. 5.0 (STI), 2023, pp. 1–6, doi: 10.1109/STI59863.2023.10465011.
  9. M. Paul, P. K. Podder, and M. R. Hassan, “Eye tracking, saliency modeling and human feedback descriptor driven robust region-of-interest determination technique,” IEEE Access, vol. 10, pp. 98612–98624, 2022, doi: 10.1109/ACCESS.2022.3206045.
  10. M. R. Hassan, P. K. Podder, T. Debnath, and M. O. Faruk, “An IoT based water quality testing device: An approach to modeling a geographical map based on water quality data and decision support system,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 10, no. 2, pp. 1091–1099, 2021, doi: 10.30534/ijatcse/2021/851022021.

Excellence Award – 2022
Pabna University of Science and Technology

Funds:

“Innovation Fund” from ICT Division, Bangladesh.
Project Title : To develop a low-cost water quality testing device and geographical map modelling based on water quality data.

Scholarship:

• University Merit Scholarship – 2016
• University Merit Scholarship – 2017
• University Merit Scholarship – 2018
• University Merit Scholarship – 2019

Research Interests:

  • Computer Vision
  • Medical Imaging
  • Deep Learning