Twenty papers published by the learners and instructors of Edtech company Great Learning as a part of their Capstone projects have been featured by the World Health Organization (WHO) in its global literature on the Coronavirus disease.
In Great Learning — a platform for professional learning and higher education — the papers were written during the first and the second peak of COVID-19.
Mohan Lakhmaraju, the founder and CEO of Great Learning, said, “It is a matter of great pride for us that WHO has included several papers by our students in their database on Coronavirus research from across the globe. Capstone projects are an integral part of Great Learning’s curriculum as it prepares its students for the application of their learning to real-world problems and enables cutting-edge work. This showcasing of the projects and research done by our students in WHO’s database on Coronavirus further validates the high-quality learning experience and faculty mentorship that our candidates receive when they learn at Great Learning.”
The papers covered a host of topics including forecasting COVID-19 in India using several machine learning models; detecting the severity of infection through chest X-rays; predicting the hospital beds utilization in Telangana; forecasting the vaccination drive in India for herd immunity; and effectiveness of lockdowns in Karnataka during the second wave.
These studies were conducted as a part of programmes conducted by Great Learning to upskill professionals in industry-relevant digital skills like Artificial Intelligence, Machine Learning and Data Science. All the indexed papers are peer-reviewed, which advocates their accuracy.
With the ‘Global research on Coronavirus disease’, WHO is bringing the world’s scientists and global health professionals together to accelerate the research and development process and develop new techniques to contain the spread of the Coronavirus pandemic. As a part of this, WHO indexes the latest and most credible international multilingual scientific findings and knowledge on COVID-19. The research papers by the Great Learning students have been included in this database.
Narayana Darapaneni, a professor and Capstone project mentor at Great Learning, said, “Great Learning has a strong objective to deliver industry-relevant and highly updated skillset to its learners. Capstone projects, aimed at solving real-world problems like COVID-19, breast cancer, pathology detection and many more, are a crucial way to enable this. Moreover, we try to embed an entrepreneurial bug amongst our learners by encouraging them to come up with their own ideas for their projects. Research work and experience hold much weight when it comes to admissions for further studies in Ivy Leagues, IITs, IIMs and other top universities across the globe. These Capstone projects open a whole new world of opportunities for our learners to venture into these institutions as well as enabling their professional career growth.”
Divya Dixit, one of the learners whose paper was included by WHO in its database, said, “It is great to note that some of my papers as a part of my research while pursuing AI and ML programme at Great Learning have been included organically by WHO in its literature on Coronavirus disease. There is a tremendous effort that goes into the research that we pursue as a part of the curriculum and it feels great when it is rewarded in these ways.”