P. Nancy

P. Nancy has completed her Masters in Computer Science and Engineering in Bannari Amman Institue of Technology, Sathyamangalam. She was awarded doctorate degree from Anna University in 2019. She is an alumini of PSG College of Technology too. She has more than 14 years of teaching experience in various engineering colleges. Her areas of interest include Data Mining, Big Data, Social Network Analysis and Oncogenic studies. She has coordinated many international Conferences. She has published more than 25 research papers in various reputed and refereed journals and attended conferences both in India and Abroad. She has received funding from department of science and technology for her work in Social Network Analysis. Her research contribution facilitated the mankind with the identification of new rescuable cancer mutants. She has guided and guiding students in both UG and PG level. She is an active participant in accreditation process and also in teaching learning process

Publications

Unlocking Biologica Insights: Harnessing Machine Learning for Analysis in Complex Biological Data
P. Nancy, G. Padmapriya, M. Suresh Anand, D. Vinod, R. Anto Arockia Rosaline. © 2024. 18 pages.
Recently, researchers in the field of bioinformatics have demonstrated a significant amount of interest in the use of computational methods for the purpose of forecasting...
Randomized Round Crypto Security Encryption Standard for Secure Cloud Storage
Anitha K., Anto Arockia Rosaline R., Devipriya A., Nancy P., Vijaya K.. © 2024. 17 pages.
Due to the heightened expenses associated with maintaining extensive data storage infrastructure on-premises, many organizations face challenges in accommodating large volumes of...
An Empirical Study and Analysis of Artificial Intelligence, Machine Learning, and Big Data for Crypto Healthcare Industries
Devipriya Ananthavadivel, R. Anto Arockia Rosaline, D. Vinod, K. Anitha, P. Nancy. © 2024. 19 pages.
In the contemporary era, cryptocurrencies have emerged as a vital digital asset class. This abstract provides a succinct overview of a chapter dedicated to the empirical...