Prof. Chandru K S - Bannari Amman Institute of Technology

Experience Type	Organization	From	To	Total Experience
Engineering	Bannari Amman Institute of Technology, Sathyamangalam	01.07.2020
Engineering	K S RANGASAMY COLLEGE OF TECHNOLOGY	19.12.2011	30.06.2020	8 Year(s) & 6 Month(s)

Degree	Specialization	Institute	University	Year of Passing
B.E.	Computer Science and Engineering	K S Rangasamy College of Technology	Anna University, Chennai	2008
M.Tech.	Computatioal Engineering and Networking	Amirta Vishwa Vidyapeetham University	Amrita Vishwa Vidyapeetham	2011

Pandiaraj A, Venkatesan R, Chandru K.S and Vimalsubramanian G, (2024). “Sentimental Analysis for Social Media Topic Analysis Using Multi-tweet Sequential Summarization”, In: Mandal, J.K., Jana, B., Lu, TC., De, D. (eds) Proceedings of International Conference on Network Security and Blockchain Technology. ICNSBT 2023. Lecture Notes in Networks and Systems, vol 738. Springer, Singapore. https://doi.org/10.1007/978-981-99-4433-0_31

Divyapushpalakshmi Marimuthu, Ganga Rama Koteswara Rao, Abolfazl Mehbodniya, Dhavamani Mohanasundaram, Chandru Kavindapadi Sundaram, Anto Bennet Maria and Devi Mani, “Mathematically Modified Adaptive Neuro-Fuzzy Inference System for an Intelligent Cyber Security System”, SN COMPUT. SCI. 4, 453, https://doi.org/10.1007/s42979-023-01822-0, 2023.

Marimuthu, D., Rao, G.R.K., Mehbodniya, Chandru Kavindapadi Sundaram, A. et al. Mathematically Modified Adaptive Neuro-Fuzzy Inference System for an Intelligent Cyber Security System. SN COMPUT. SCI. 4, 453 (2023).

Chandru K, Hema Raja Shri P K, Brindhavani C, ” Underground Water Pipe Leakage System” , International Journal of Engineering Technology and Management Sciences, Vol.7, Issue-2, 2023.

K.S. Chandru, D.Yuvaraj, Dr. C Nallusamy, Dr. V. Priya,” Prediction In Big Data Context On Scalability Of Machine Learning Models For Breast Cancer” , International Journal of Aquatic Science, Vol -12, Issue-03, 2021.

D.Yuvaraj, K.S.Chandru, Dr. K.Saravanan,” An New Effective Learning Model Of Person Re- Identification From Spatio Temporal Features Using Horn- Schunck Algorithm And Salience Matching Method” , International Conference on Artificial Intelligence, Vol-12, Issue-03, 2021.

Dr.C. Chandru Vignesh, D. Yuvaraj, P. Parthasarathi, K.S. Chandru, 5th S. Samsudeen, ” A Novel Technique in Smart Agriculture System by Pooling Truck in Advance” , International E-Conference on Information, Communication, Information Technology, 2020.

Chandru K S, Yuvaraj D, “Prediction In Big Data Context on Scalability of Machine Learning Models For Breast Cancer”, International Conference on “Artificial Intelligence & Smart Computing (ICAISC-2020)”, BIT, 2020.

Chandru K S, “Undergroung Water Pipe Leakage System”, Third International Conference on “Advances In Management, Engineering & Technology (ICAMET-2023)”, RSP Conference Hub, 2023.

Chandru K S, “Integrated Management Platform To Streamline Customers, Vendors and Employees using Sap”, Third International Conference on “Artificial Intelligence & Smart Computing (ICAISC-2023)”, BIT, 2023.

Chandru K S, Yuvaraj D,Dr. C Nallusamy, Dr. V. Priya, “Prediction In Big Data Context on Scalability of Machine Learning Models For Breast Cancer”, International Conference on “Artificial Intelligence & Smart Computing (ICAISC-2020)”, BIT, 2020.

D.Yuvaraj, K.S.Chandru, Dr. K.Saravanan, “An New Effective Learning Model Of Person Re- Identification From Spatio Temporal Features Using Horn- Schunck Algorithm And Salience Matching Method”, International Conference on Artificial Intelligence, Department of CSE, ISE, CSBS and CT, BIt, 2020

Dr.C.Chandru Vignesh, D.Yuvaraj, P.Parthasarathi,K.S. Chandru, S. Samsudeen, “A Novel Technique in Smart Agriculture System by Pooling Truck in Advance”, International E-Conference on Information, Communication, Information Technology, Eswari Engineering College, Chennai, July 2020

S.No.	Title	Date	Reg. No.	Status	Level	Funding Agency
1	YOLOV7 BASED VEGETABLE MONITORING AND PESTICIDE CONTROL SYSTEM	08.03.2024	202441015743	Filed	National	Self
2	A METHOD TO PREDICT THE NEED FOR BOOSTER DOSE VACCINE OF COVID-19 FOR A PERSON USING MACHINE LEARNING ALGORITHMS	22.02.2022	202241009282	Filed	National Level	Self