Sapna Singh Kshatri

Sapna Singh Kshatri received the Ph.D. degree from MATS University, Raipur. She has completed her M.C.A. from Rungta College of Eng. & Technology Bhilai, India. She was Assistant Professor in Ashoka Institute technology and management. She is Head of Department Of computer science In Bharti University Durg. She has 5 years of teaching and academic experience. She has over 10 research article chapters and national and international conference papers and received Best Paper Awards in 1 International Conferences, reviewer of several journals. She has delivered more than 5 Keynote/Invited Talks and Chaired many Technical Sessions in International/ national Conferences. She has reviewed many papers in reported journals like IEEE, IET, Oxford. Her research interests include Bio-medical, Machine Learning, and Data Science.

Publications

Computational Intelligence and Applications for Pandemics and Healthcare
Computational Intelligence and Applications for Pandemics and Healthcare
Sapna Singh Kshatri, Kavita Thakur, Maleika Heenaye Mamode Khan, Deepak Singh, G. R. Sinha. © 2022. 357 pages.
During the COVID-19 pandemic, computational intelligence and computer-aided diagnosis (CAD) systems have supported the effective treatment of the virus. Artificial intelligence...
Mental Task Classification Using Deep Transfer Learning with Random Forest Classifier
Mental Task Classification Using Deep Transfer Learning with Random Forest Classifier
Sapna Singh Kshatri, Deepak Singh, Mukesh Kumar Chandrakar, G. R. Sinha. © 2022. 17 pages.
A BCI theoretical idea is to construct an output feature or task for a user using brain signals. These signals are then transmitted to the machine where the required task is...
An Investigation of the Coronavirus Disease (COVID-19) Mortality Risk Using Machine Learning
An Investigation of the Coronavirus Disease (COVID-19) Mortality Risk Using Machine Learning
Sapna Singh Kshatri, Sameer Sharma, G. R. Sinha. © 2022. 24 pages.
Septic shock, acute respiratory distress syndrome, multi-organ failure are all possible complications of the illness. In this work, machine learning is used to construct and...