Riad Hassan, Lecturer, department of Computer Science and Engineering (CSE) in Green University of Bangladesh (GUB) and pursuing Research Based MSc from Bangladesh University of Engineering and Technology (BUET). Beside those, I also conduct research with BioRAIN Lab. My research interests are:
- Deep Learning
- Medical Imaging
- Region of Interest
- Image Processing
Transforming research outputs into daily usable applications is fun. Interested in innovative research project. Kindly let me know. I will definitely get back to you.
Updates:
- August 2024 : A paper “Automated Radiomics-Based Clinically Significant Prostate Cancer (csPCa) Grade Classification From Biparametric MRI” is accepted for presenting in Digital Image Computing: Techniques & Applications (DICTA) 2024 Conference.
- June 2024 : A paper “UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation” Published in PLOS ONE. [Source Code]
- May 2024 : Our paper “Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation” is presented in IEEE International Symposium on Biomedical Imaging 2024 (ISBI-2024) by Professor Clinton Fookes. [Source Code]
- February 2024 : Accepted (full length) paper on Medical Imaging in the prestigious IEEE International Symposium on Biomedical Imaging 2024 (ISBI-2024) for presentation.
- February 2024 : Appointed as program coordinator of Computer Science and Engineering Department, Green University of Bangladesh.
- November 2023 : A paper “A Sign Language Recognition System for Helping Disabled People” is accepted for presenting in International Conference on Sustainable Technologies for Industry 5.0 (STI 2023) Conference.
- June 2023 : Attended Summer School on Spectral Graph Theory organized by BUET.
- February 2023: Complete course on Teaching for Active Learning (TAL) organized by Foundation for Learning Teaching and Research (fLTR)
- September 2022: Research article “Eye Tracking, Saliency Modeling and Human Feedback Descriptor Driven Robust Region-of-Interest Determination Technique” publish in IEEE Access [Q1, IF: 3.476]. This research is conducted in collaboration with Charles Sturt University, Australia.
- June 2022: Received Excellence Award from Pabna University of Science and Technology.