Dr Arun Kumar R - Bannari Amman Institute of Technology

Experience Type	Organization	From	To	Total Experience
Engineering	Bannari Amman Institute of Technology, Sathyamangalam	03.12.2018
Engineering	United Institute of Technology	01.06.2013	30.11.2018	5 Year(s) & 6 Month(s)
Engineering	Tejaaa Shakthi Institute of Technology forr women	03.06.2011	10.05.2013	1 Year & 11 Month(s)
Engineering	Sasurie Academy of Engineering	09.02.2009	30.05.2011	2 Year(s) & 3 Month(s)

Degree	Specialization	Institute	University	Year of Passing
B.Tech	Information Technology	SNS College of Technology	Anna University, Chennai	2008
M.E	Computer Science and Engineering	Anna University Regional Centre	Anna University, Chennai	2013

Ramachandran, A.K., John Bosco Martin, V.F., “Adaptive autism behavior prediction using improved binary whale optimization technique”, Concurrency and Computation: Practice and Experience, Vol. No.35, 2023.

Arun Kumar, R., Vijay Franklin, J., Koppula, N., “A Comprehensive Survey on Metaheuristic Algorithm for Feature Selection Techniques”, Materials Today: Proceedings, Vol. No.64, Issue No.3, pp.435-441, 2022.

Arun Kumar, R., Sathesh Kumar, K., Prasanth, T., Balakrishnan, K., “The feature based image stitching techniques”, International Journal of Recent Technology and Engineering, Vol. No.8, Issue No.3, pp.5543-5547, 2019.

Sathesh Kumar, K., Arun Kumar, R., Praveen Kumar, V., “Automated Yield Estimation of Fruits Using Multilayer Convolution Neural Networks”, Proceedings of the 2019 International Conference on Advances in Computing and Communication Engineering, ICACCE 2019, 2019.

S.No.	Title	Date	Reg. No.	Status	Level	Funding Agency
	Iot Based Smart Transport Bus Scheduler To Improve Utilization Of The Bus During Night Time	05.08.2022	202141003954	Published	National Level	Self
	Performance Of Intrusion Detection Systematic Approach Based On Machine Learning Via Big Data Analyticse	11.03.2022	202241009921	Published	National Level	Self
	Electric Car For Agericultural Purpose	21.09.2023	389910-001	Granted	National Level	Self