Prof. Vaanathi 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	02.01.2023
Engineering	The Kavery Engineering College	20.09.2021	30.12.2022	1 Year & 3 Month(s)
Engineering	VSA Group of Institutions	01.07.2016	20.03.2020	3 Year(s) & 8 Month(s)

Degree	Specialization	Institute	University	Year of Passing
B.E	Computer Science and Engineering	Vivekanadha College of Engineering for Women	Anna University, Chennai	2012
M.E	Computer Science and Engineering	Sona College of Technology	Anna University, Chennai	2016

S.No.	Subject Area
1	Big Data Analytics
2	Deep Learning
3	Python for Data Science

Velusamy A, Akilandeswari J, Vaanathi S, Priya M, MunirathinamT, Kokila S, “Enhancing Myocardial Infarction Prediction With Machine Learning: Leveraging Clinical and Demographic Data for Improved Early Detection and Patient Outcomes”, 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0, Raigarh, India, 2024, Pages. 1-6, Doi: 10.1109/OTCON60325.2024.10687656.

Vaanathi S, Steephan Amalraj J, Kumaresan T, Pravin Savaridass M, Vaanathi S, “Enhanced Heart Disease Diagnosis in Mri Images Using Swan Adapt Optimized Thresholding Segmentation With U-net Model” , 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC)DOI: 10.1109/ICESC60852.2024,10689958

G Ram Sundar, M V Nageswara Rao, R Deepa, S Selvanayaki, Vaanathi S, K Bala Karthik, “Smart IoT-Enabled Deep Learning for Diagnosing Maize Leaf Diseases” , 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)

Vaanathi S, “Cardiovascular Disease Prediction Using Fuzzy Logic Expert System”, IUP Journal of Computer Sciences, Vol. 11, Issue 3, PP 7-21, 2017

Vaanathi S, “Enhancing Myocardial Infraction Prediction With Machine Learning: Levearging Clinical and Demographic Data for Improved Early Detection and Patient Outcomes”, International Technology Conference on “Smart Computing for Innovation and Advancement in Industry”, OP Jindal University, 2024.

Vaanathi S , Palanisamy C, Steephan Amalraj J, “Adaptive – Attendance Enhanced Transformer with Modified Graph Guts Algorithm for Cardiovascular Disease Diagnosis”, International conference on “Self Sustainable Artificial Intelligence Systems (ICSSAS 2024)”, M.P Nachimuthu M.Jaganathan Engineering College, 2024.

Vaanathi S, Steephan Amalraj J, “Enhanced Heart Disease Diagnosis in MRI Images Using Swan Adapt Optimized Thresholding Segmentation With U-Net Model”, International Conference on “Electronics and Sustainable Communication Systems”, Hindusthan Institute of Technology, 2024.

Vaanathi S, Steephan Amalraj J, “Detection Of Snakes By Snake Byte Marks using Machine Learning”, Second International Conference on “Renewable and Sustainable Energy Technologies”, BIT, 2024.

Vaanathi S, “Cardiovascular Disease Prediction using Logic Expert System”, Third International Conference on Artificial Intelligence and Smart Computing(ICAISC-2023), BIT, 2023.

Vaanathi S, “Augmentation Applied With Transfer Learning Approach To Detect Real and Fake Faces”, International Conference on “Information and Communication Engineering (ICICE’23)”, Care College of Engineering, 2023.

Vaanathi S, “Deep Learning Based Maize Leaf Disease Diagnosis Using IOT Systems”, IEEE International Conference on “Multidisciplinary Research in Technology and Management”, New Horizon College of Engineering, 2023.

S.No.	Title	Date	Reg.No.	Status	Level	Funding
1	INDIAN BRINJAL LEAF DISEASE PREDICTION USING YOLO MACHINE LEARNING ALGORITHM	21.02.2023	202341011681	Filed	National	Self
2	PATRIOTIC EMOJI	20.02.2023	379676-001	Filed	National	Self