Dr. R. Venkatesan

Dr. R. Venkatesan is a Professor in Computer Science and Engineering at Karunya Institute of Technology and Sciences, with extensive academic experience in teaching, research, and higher education. He holds a Ph.D. in Information and Communication Engineering from Anna University, an M.E. in Computer Science and Engineering from Anna University, and a B.E. in Computer Science and Engineering from Madurai Kamaraj University. He joined Karunya University in June 2006 and has served the institution in various academic positions, progressing from Lecturer to Assistant Professor, Associate Professor, and Professor.

His area of interest includes Task Scheduling, Internet of Things (IoT), and Machine Learning Algorithms, particularly multi-model approaches. His teaching interests encompass Python Programming, C Programming, Compiler Design, Object-Oriented Programming, Computer Architecture, Operating Systems, Programming for Problem Solving, and System Software. His academic interests focus on computing, programming, intelligent algorithms, scheduling methodologies, and emerging IoT technologies.

Dr. R. Venkatesan has contributed significantly to research through 33 international journal publications and 54 international and national conference publications. His research publications have received 395 Scopus citations and 671 Google Scholar citations, with an h-index of 14. He has also completed an industry certification in Agentic AI from Infocon Inc., Bangalore, in 2026. His publication record and citation impact demonstrate sustained research engagement in Computer Science and Engineering and related emerging technological areas.

With extensive academic experience spanning more than two decades, Dr. R. Venkatesan has made sustained contributions to teaching and research in Computer Science and Engineering. His progression through multiple academic positions at Karunya University reflects his long-standing association with the institution and his continued involvement in higher education. His expertise in task scheduling, IoT, and machine learning, together with his substantial publication record, citation impact, and professional certification, establishes a strong academic profile in contemporary computing technologies.