The Green University Research & Publication Community (GURPC), an initiative of the Center for Research, Innovation, Transformation and Sustainability (CRITS) of Green University of Bangladesh, successfully organized a session titled “From Learning to Research in Computer Vision” under its flagship workshop series, Research Unplugged: Faculty Insights, on November 1, 2026, at the A409-Syndicate Room, Green University of Bangladesh. The event was graced by the presence of Prof. Dr. Mohammad Shorif Uddin, Vice Chancellor of Green University of Bangladesh, as the Chief Guest. The session was chaired by Dr. Umme Ruman, Director of CRITS, and featured Md. Atikuzzaman, Lecturer, Department of Computer Science and Engineering, as the keynote speaker.

The keynote session provided participants with an insightful overview of the evolution of computer vision, from classical Convolutional Neural Networks (CNNs) and residual learning architectures such as ResNet and WideResNet to modern approaches including Vision Transformers (ViT), Swin Transformers, and state-space models such as VMamba. The speaker emphasized the importance of moving beyond simply training models and achieving high accuracy toward identifying meaningful research gaps, formulating research questions, and designing experiments that generate credible evidence.



The session also explored emerging research opportunities in computer vision, including medical image analysis, vision-language models, 3D vision, and robust and efficient visual systems. Through practical examples and case studies, participants gained valuable insights into literature review, research methodology, experimental design, and the process of transforming an academic interest into a research-worthy problem. The event concluded with an interactive question-and-answer session, encouraging students to explore research opportunities in computer vision and contribute to the growing research culture at Green University of Bangladesh.