Dr. R. KARTHIKEYAN

Dr. R. Karthikeyan is an Assistant Professor in the Department of Computer Science at Sri Sankara Arts and Science College (Autonomous), Kanchipuram, Tamil Nadu, India. He has over 14 years of teaching experience at undergraduate and postgraduate levels.
He holds M.Sc. (Information Technology), M.Phil., and Ph.D. degrees in Computer Science and Applications. His academic and research interests include Computer Networks, Wireless Communication, IoT, Data Mining, Machine Learning, Cloud Computing, Cybersecurity, and Artificial Intelligence.
Dr. Karthikeyan has taught a wide range of subjects such as Database Management Systems, Data Structures, Java Programming, Python Programming, R Programming, Data Science Machine Learning. He actively adopts student-centric, outcome-based teaching methodologies and integrates modern pedagogical tools, including AI-assisted learning techniques, to enhance student engagement and understanding.
He has published more than 10+ research papers in

EDUCATION

M.Sc., M.Phi., Ph.D. (Computer Science and Applications)

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Networks and Communications, Computer Science Applications

Scopus Publications

Analysis of COVID-19 vaccination progress using machine learning approach
T. Lalitha, R. Parimala, S. Muralidharan, R. Karthikeyan
Aip Conference Proceedings, 2022
The past two decades were marked with the outbreaks of many viral diseases such as Chikungunya, Ebola, Zika, Nipah, H7N9 Bird flu, H1N1, SARS and MERS. With a new disease outbreak, the world awoke to this decade. A new Coronavirus outbreak occurred in Wuhan, Hubei Province, China, in December 2019. The majority of the patients who were initially discovered were connected to the 'wet market', a location a location where live animals are treated and sold. The market could have served as a source of amplification from which the virus began to spread to many other areas of China and, eventually, to 213 nations and territories in a very short period of time. On 11 February 2020, The WHO is the World Health Organization dubbed this disease 'COVID-19,' which is an abbreviation for Coronavirus Disease 2019.
Performance analysis of BER in OFDM-RoF system using 16-QAM modulation for wireless network
R. Karthikeyan, S. Prakasam
International Journal of Wireless and Mobile Computing, 2016
Orthogonal Frequency Division Multiplexing (OFDM) is a modulation technique to transmit wired and wireless media. Radio over Fibre (RoF) system consists of both wireless and optical links. It is proved technology for the wireless access technique, and the OFDM has core technology for major part of the wireless network. The OFDM-RoF system is the subject of much research of various topics at the moment. OFDM-RoF system provides high speed, large capacity and high spectral efficiency in the recent 4G and upcoming 5G mobile technology with fast data transmission. OFDM has specific modulation methods such as PSK, BPSK, QPSK, and QAM techniques. The aim of this paper is to perform and simulate BER and Q-Factor of OFDM-RoF system at different parameters, including 16-QAM modulation technique using OptiSystem13.0 simulation software.