Prof. Yuvalatha S - Bannari Amman Institute of Technology

Smart India Hackathon 2025, 08th to 12th December 2025

Admission Enquiry 2026-2027 Information Brochure 2026-2027 For Admission Contact - 04295 226000 | +91 89401 26000

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

Arun G, Godavari A, Pattem S, Marrikukkala R K, Yamsani N, Yuvalatha S,“Deep Ensemble 3D CNN Framework for Lung Cancer Detection using CT-Images”,“2025 International Conference on Intelligent Computing and Knowledge Extraction (ICICKE)”, Bengaluru, India,2025, Pages 1–5,DOI.10.1109/ICICKE65317.2025.11136291.”

Maheswari S, Sandeep M, Rajesh M, Yamsani N, Kanaparthi S K ,Yuvalatha S, “Deep Learning-Based Multimodal Diagnostic Framework for Vascular Cognitive Impairment”, ” International Conference on Data Intelligence and Cognitive Informatics (ICDICI)”, Pages. 966-972, doi: 10.1109/ICDICI66477.2025.11135216.

Yuvalatha S, Nithyapriya S, Kuzhali R T, Savitha S, Muthusundar S K, Antonidoss A, “Capsule-Infused Vision Transformer: A Hybrid Deep Learning for Hierarchical Feature Learning”, I””nternational Conference on Smart Technologies for Sustainable Development Goals””, Jun 2025, DOI: 10.1109/ICSTSDG61998.2024.11026478.

Nithyapriya S, Yuvalatha S, Prabhavathy S, Arun T, Muthusundar S K, Antonidoss A,“Diabetic Retinopathy Classification Using Hybrid Optimized U-Net and Improved ResNet-18 with MISH Activation”, “”International Conference on Smart Technologies for Sustainable Development Goals””, Jun 2025, DOI: 10.1109/ICSTSDG61998.2024.11026501-1.

K Bhargavi, M L Prasad, Arun G, P C Shaker Reddy, Yuvalatha S, M N Triveni, “An Enhanced Diagnostic System using Deep Learning for Early Prediction of Pancreatic Cancer,” 2024 10th International Conference on Electrical Energy Systems (ICEES), Chennai, India, 2024, Pages. 1-6, Doi: 10.1109/ICEES61253.2024.10776830.

S Yuvalatha, Nithyapriya S, S Prabhavathy, R Priyadharshini, S Savitha, S Kayathri, “A Hybrid Model to Predict the Breast Cancer using Stacking and Bagging Model,” 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, India, 2023, Pages. 1-6, Doi: 10.1109/Icmnwc60182.2023.10436010, 2023.

S Yuvalatha, S Nithyapriya, R T Kuzhali, S Savitha, “Boruta Feature Selection for Prediction of Coronary Artery Disease,” 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India, 2023, Pages. 1-5, Doi: 10.1109/Rmkmate59243.2023.10369394, 2023.

S Yuvalatha, S Prabhavathy, V Nithya, L Pavithra, A Kingsly Jabakumar, “IOT – Based Effective Patient Monitoring System”, Vol 22 : Issue 06 , Pages. 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 S T, Tharani Priya R, “Clustering Attacker Activities in IOT Data Through Unsupervised Learning Techniques”, Journal of Xidian University, Vol-16, Issue-5, 2022.

Yuvalatha S, “Deep Learning Based Multi modal Diagnostic Framework for Vascular Cognitive Impairment”, International Conference on “Data Intelligence and Cognitive Systems”, Scad College of Engineering and Technology, 2025.

Yuvalatha S, “Deep Ensemble 3D CNN Framework for Lung Cancer Detection Using CT Images”, Intelligent Computing and Knowledge Extraction (ICICKE 2025)”, CMR University, 2025.

Yuvalatha S, Nithyapriya , R Tamizh Kuzhali, S Savitha, “Capsule Infused Vision Transformer: A Hybrid Deep Learning For Hierarchical Feature Learning”, International Conference on “Smart Technologies for Sustainable Development Goals”, SA Engineering College, 2024.

Yuvalatha S, “An Enhanced Diagnostic System using Deep Learning for Early Prediction of Pancreatic Cancer”, Tenth International Conference on Electrical Energy System”, Sri Sivasubramaniya Nadar College of Engineering, 2024.

“Yuvalatha S , Nithyapriya, Prabhavathy, Savitha , “A Hybrid Model To Predict The Breast Cancer using Stacking and Bagging Model”, IEEE International Conference on “Mobile Networks and Wireless Communication(ICMNWC -2023)”, Sri Siddhartha Institute of Technology, 2023.

Yuvalatha S, Nithyapriya S, Savitha S, Tamizh Kuzhali R, “Boruta Feature Selection For Prediction of Coronary Artery Disease”, International Conference on “Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE 2023)”, R.M.K. Engineering College, Chennai, 2023.

Yuvalatha S ,Kiruthika V R, “Parkinson Disease Prediction using Xgbsmote And Xgboost Algorithms” International Conference on “Artificial intelligence and Smart Computing”, BIT, 2023.

Yuvalatha S, Nithyapriya S, Kiruthika V R, Chandru, Mohanraj A, “Diagnosis of Breast Cancer Prediction using Machine Learning Through Stacbag Model”, International Conference on “Artificial intelligence and Smart Computing”, BIT, 2023.

Yuvalatha S, “A Study of Dynamic Thresholds Power Detection Spectrum Sensing Techniques In CRN”, International Conference on “Advanced Computing and Communication Systems”, Sri Eshwar College of Engineering, 2023.

Yuvalatha S, Nithyapriya S,R.Tamizhkuzhali, R.Prabhavathy, “Diagnosis of Coronary Artery Disease Prediction using Boruta and Adaboost Algorithm”, International Conference on “ICAIBC-2023”, BIT, 2023.

Yuvalatha S, Yamuna S, Nithyapriya S, Santhiya B, “Fault Prognosis on Rotating Machinary using Artificial Intelligence”, International Conference on “ICAMR 2.0”, BIT, 2021.

S.No.	Title	Date	Reg.No.	Status	Level	Funding
1	AN AI-BASED INVESTIGATION FOR SEED HARVEST MOISTURE PREDICTIONS TO IMPROVE A COMPUTER-AIDED AGRICULTURAL FARM OPERATION	13.10.2022	202341069024	Filed	National	Self
2	HEALTHCARE DATA MAINTENANCE APPLICATION	14.09.2022	202241052406	Filed	National	Self
3	DEEP LEARNING AND IOT BASED SMART IRRIGATING AGRICULTURAL SYSTEM	07.09.2022	202241050981	Filed	National	Self
4	SMARTWATCH FOR HEART ATTACK PREDICTION AND SYMPTOM ANALYSIS USING AI AND IOT SENSORS	17.05.2022	202241028169	Filed	National	Self
5	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	Self

S.No.	Membership Number	Membership Body	Year	Duration
1	LM 185130	International Association of Engineers	2020	Life Time