Anand Karuppannan
@gct.org.in
Assistant Professor, Department of Electronics and Communication Engineering
GNANAMANI COLLEGE OF TECHNOLOGY
Dr. Anand Karuppannan Completed B.E. degree in Electronics and Communication Engineering from Park College of Engineering and Technology (Anna University, Coimbatore in 2011) and M.E. degree in Power Electronics and Drives from Sona College of Technology (Anna University, Chennai in 2014). Completed his Ph.D. degree at Anna University, Chennai in December 2021. Recognized Anna University Supervisor under faculty of Electrical Engineering
EDUCATION
Completed Doctor of Philosophy ( Part time under the faculty of Electrical Engineering at Anna University, Chennai with 9.00 CGPA(Course Work) during July 2016 – December 2021 (Supervisor:
Completed Master of Engineering (M.E.) in Power Electronics and Drives from Sona College of Technology, Salem with 9.07 CGPA during 2012-2014.
Completed Bachelor of Engineering (B.E.) in Electronics and Communication Engineering from Park College of Engineering and Technology, Coimbatore with 7.97 CGPA during 2007-2011.
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Signal Processing, Multidisciplinary
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
R. Yuvaraj, Anand Karuppannan, Asisa Kumar Panigrahy, and Raghunandan Swain
Springer Science and Business Media LLC
MedapatiSudheer Kumar Reddy, Nellore Manoj Kumar, Anand Karuppannan, Siva Nagaiah Bolleddu, Ashish Verma, and M. Kalyan Chakravarthi
IEEE
The purpose of this research is to provide a comprehensive overview of the evolution of wearable health monitoring technologies. This research study analyses the current and potential future of this sector, as well as how machine learning and AI algorithms may be utilized to process the data collected by the sensors. This research concludes that the incorporation of sensors and motors into wearable medical devices paves the way for the provision of individualized therapies and pharmaceuticals. This has enormous promise for enhancing healthcare and averting illness. The utilization of machine learning algorithms and artificial intelligence enables enhanced precision in the diagnosis and treatment of illnesses. The matter of power consumption is also brought to the fore, alongside the strategies employed in the investigation of energy harvesting and low-power devices, which have contributed to their resolution. Finally, this research study concludes by proposing recommendations for future research, such as providing guidelines for the utilization of wearable medical devices and the exploration of ethical and legal implications. This study’s outcomes are significant for the healthcare industry and the well-being of patients, as they provide valuable insights for the development and advancement of wearable medical technologies, which are utilized for enabling healthcare monitoring.
Anand Karuppannan and Madheswaran Muthusamy
Springer Science and Business Media LLC