Mr. Sathiyandrakumar Srinivasan | Network Security | Editorial Board Member
Mr. Sathiyandrakumar Srinivasan | V2 Technologies Inc | United States
Mr. Sathiyandrakumar Srinivasan is an active researcher associated with the Kalasalingam Academy of Research and Education. His scholarly contributions span research publications, supported by 140 Scopus citations from 19 citing documents, reflecting measurable impact within his research domain. His work demonstrates consistent engagement with emerging scientific problems and collaborative scholarship, With an h-index of 7, his research outputs show developing influence and continued citation growth, indicating early yet meaningful contributions to the field. His publications, documented within Scopus, highlight his involvement in contemporary academic investigations and his ability to contribute to multi-author, interdisciplinary studies. Overall, his research trajectory positions him as a steadily growing scholar whose work continues to gain recognition through increasing citations and academic reach.
Profile: Scopus | Google Scholar
Featured Publications :
Raman, R., Kantari, H., Gokhale, A. A., Elangovan, K., Meenakshi, B., … (2024). Agriculture yield estimation using machine learning algorithms. 2024 International Conference on Automation and Computation (AUTOCOM), 187-191.
Srinivasan, S., Deepalakshmi, P. (2023). Enhancing the security in cyber-world by detecting the botnets using ensemble classification based machine learning. Measurement: Sensors, 25, 100624.
Srinivasan, S., Saravanan, T. R., Ithayan, J. V., Ganesh, E. N., Devi, A. S. (2023). Unleashing the potential of IoT in tackling ocean pollution: A data-driven approach for marine ecosystem conservation. 2023 Second International Conference on Smart Technologies for Smart Nation, 31.
Lakshmi, V. V., Giriprasad, S., Vimal, S. P., Kantari, H., Meenakshi, B., … (2024). Wind power forecasting with support vector machines using sparrow search algorithm. 2024 2nd International Conference on Computer, Communication and Control, 29.
Srinivasan, S., Raman, R., Thacker, C. B., Shrivastava, A. (2023). Smart crosswalk management with vehicle-to-pedestrian communication. 2023 International Conference on Sustainable Communication Networks and Applications, 25.
Dr. Jinyan Wang is a renowned professor at the School of Computer Science and Engineering, Guangxi Normal University, China. With expertise in machine learning and
She has authored over 50 impactful publications in prestigious international journals and conferences, contributing significantly to the advancement of computer science.
Dr. Wang’s academic journey includes advanced degrees in computer science and a visiting scholar position at East China Normal University.
As an educator and researcher, she is dedicated to fostering innovation and mentoring future technology leaders. 

Professor, School of Computer Science and Engineering, Guangxi Normal University, China (Current).
Dr. Jinyan Wang has established herself as a leading figure in computer science, specializing in machine learning and
Her academic journey includes earning three degrees from Northeast Normal University and gaining international exposure as a visiting scholar at East China Normal University. Beyond her research, Dr. Wang is dedicated to mentoring the next generation of computer scientists, contributing to both education and innovation in technology.
Simultaneously, her contributions to information security aim to safeguard digital systems and protect sensitive data from cyber threats.
With over 50 publications in leading journals and conferences, Dr. Wang is at the forefront of innovative solutions, combining theoretical insights with practical applications to address real-world challenges. 

Best Paper Award – Recognized for excellence in vision-language research.
Graduate Fellowship – National Tsing Hua University, Taiwan.
Outstanding Thesis Award – Shaanxi Normal University, China.
Research Excellence Recognition – vivo AI Lab, 2019.



