The Computing for Sustainability and Social Good (C2SG) Lab conducts experimental research with the goal of finding solutions to critical emerging problems with a focus on the development of sustainable societies, in which computing technologies interact closely with social good, while also enabling new applications. The research conducted by the group is highly interdisciplinary and involves researchers from a wide variety of fields, including computer science, biology, public health, behavioral sciences, and many more. The research that we do has a number of practical applications, one of which is the preservation of the environment. The group works on a wide variety of issues, some of which include deep learning, the internet of things, and cloud computing.

The lab is directed by Dr. Jannatun Noor and Managed by Md. Farhadul Islam.

A hybrid method for enhancing the efficiency of polyp detection and segmentation from endoscopic gastrointestinal images by employing multiple times smaller model.

How powerful the model can be if we combine three powerful vision operations together? We are working on Ultrasound Breast Cancer data for experimentation.

Contact me if you are interested to work in Low Resource NLP Models and have good experience in NLP. We are focusing on Deep Learning Language models like Switch Transformer, FNet etc.