Prof. Yuvalatha S - Bannari Amman Institute of Technology

Experience Type	Organization	From	To	Total Experience
Engineering	Bannari Amman Institute of Technology, Sathyamangalam	01.07.2021
Engineering	SREE SAKTHI ENGINEERING COLLEGE	23.06.2014	21.06.2021	6 Year(s) & 11 Month(s)

Degree	Specialization	Institute	University	Year of Passing
B.E.	COMPUTER SCIENCE AND ENGINEERING	MAHENDRA ENGINEERING COLLEGE	Anna University, Chennai	2011
M.E.	COMPUTER SCIENCE AND ENGINEERING	KUMARAGURU COLLEGE OF TECHNOLOGY	Anna University, Chennai	2014

S.No.	Subject Area
1	Machine Learning

S.Prabhvathy, S.Yuvalatha,V.Nithya, L.Pavithra,Dr.A.Kingly Jabakumar, “IoT- based Effective Patient Montoring System,YMER,vol-22,Issue 06,PP-1015,2023

Keerthika J, AnandaKumar H, Priya V, Yuvalatha S, Gayathri N, “A Study Of Dynamic Thresholds Power Detection Spectrum Sensing Techniques In CRN” , 9th International Conference on Advanced Computing and Communication Systems (ICACCS), 2023

S. Yuvalatha, J. Keerthika, S. Prabhavathy, M. Banupriya R. Priyadharshini, “Automated Plant Leaf Classification using Ensemble Transfer Learning in CNN model”, IEEE North Karnataka Subsection Flagship International Conference (NKCon), 2022

Padmashree, Yuvalatha S, Shobika ST, Tharani Priya R, “Clustering Attacker Activities in IoT Data through Unsupervised Learning Techniques”, Journal of Xidian University, Vol-16, Issue-5, PP-510, 2022

S.No.	Title	Date	Reg.No.	Status	Level	Funding
1	HEALTHCARE DATA MAINTENANCE APPLICATION	14.09.2022	202241052406	Filed	National Level	Self
2	DEEP LEARNING AND IOT BASED SMART IRRIGATING AGRICULTURAL SYSTEM	07.09.2022	202241050981	Filed	National Level	Self
3	SMARTWATCH FOR HEART ATTACK PREDICTION AND SYMPTOM ANALYSIS USING AI AND IOT SENSORS	17.05.2022	202241028169	Filed	National Level	Self
4	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