G. Padmapriya

G. Padmapriya is currently working as Assistant Professor in Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai. She pursued Masters in Computer Science and Engineering in K.S. Rangasamy College of Technology affiliated to Anna University – Chennai between 2006 to 2008, With a strong desire in research and development she pursued and completed her Doctor of Philosophy in Information and Communication Engineering from Anna University – Chennai in the year 2016. She has more than 15 years of teaching experience in reputed engineering colleges and specialized in Data Mining, Data Analytics, Machine Learning, Soft Computing, Natural Language Language Processing, Quantum Computing but not limited to. She has produced remarkable academic achievements in all the subjects handled in undergraduate and postgraduate. She has published various research papers in reputed international journals, conferences and book chapters. She has active membership in Indian Society for Technical Education [ISTE], Computer Science Teachers Association [CSTA], International Association of Engineers [IAENG], Universal Association of Computer and Electronics Engineers [UACEE]. She is also serving as the Editorial member and reviewer of ASDF International.

Publications

Cloud Computing and Machine Learning in the Green Power Sector: Data Management and Analysis for Sustainable Energy
Satyanarayana Tirlangi, Shashiraj Teotia, G. Padmapriya, S. Senthil Kumar, Sunita Dhotre, S. Boopathi. © 2024. 32 pages.
The green power sector is revolutionizing energy production, grid management, and sustainability by integrating cloud computing and machine learning techniques. This chapter...
A Systematic Review: Future Prospects and Challenges to IoT-Based EHRs in the Healthcare Industry
N. Manikandan, A. Devi Priya, D. Vinod, M. Suresh Ananad, G. Padmapriya. © 2024. 28 pages.
In modern era, the internet of things (IoT) has transfigured the medical industry, empowering the unified collection and exchange of patient data. However, this increased...
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...