In a first, 20 research papers by Great Learning students added in WHO’s ‘Global literature on Coronavirus disease’

These studies were conducted as a part of programs offered by Great Learning to upskill professionals in industry-relevant digital skills like Artificial Intelligence, Machine Learning, and Data Science

Bangalore : Twenty papers published by the learners and instructors of Great Learning as a part of their Capstone projects have been featured by the World Health Organization (WHO) in their global literature on the Coronavirus disease. Great Learning is a leading global edtech company for professional learning and higher education. The papers were written during the first and the second peak of COVID-19, and cover a host of topics including forecasting COVID 19 in India using several machine learning models, detecting the severity of COVID-19 through chest X-rays, predicting the hospital beds utilization for COVID-19 in Telangana, forecasting vaccination drive in India for herd immunity and effectiveness of lockdowns in Karnataka during the second wave. With this development, Great Learning becomes the first and only Indian edtech company whose learners’ capstone projects have been listed by WHO under global literature.

 

By putting together 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 global literature cited in the WHO COVID 19 database is updated regularly from searches of bibliographic databases, hand searching, and the addition of other expert-referred scientific articles. This database represents a comprehensive multilingual source of current literature on the topic. The research papers by the Great Learning students have been included in this database. They have also been presented at well-known scientific conferences in the world including IEMCON 2021, CD-MAKE 2021, CSCCC 2021, AIIoT 2021, IEEE International IoT, Electronics and Mechatronics Conference, and several others.

 

Mohan Lakhmaraju, Founder and CEO, 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.”

 

Dr. Narayana Darapaneni, 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 project. 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 the WHO in their database said, “It is great to note that some of my papers as a part of my research while pursuing AI and Machine Learning program at Great Learning have been included organically by the World Health Organization in their 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 by our paper making it into a high-quality journal or as in this case, by getting picked by WHO.”

 

These studies were conducted as a part of programs 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. By encouraging and supporting its students to conduct research on practical real-world problems and successfully publish their findings through such papers, Great Learning is able to demonstrate the academic rigor and quality that only the very elite academic institutions in India are able to.

 

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