Dr Rathnamala S
Head of the Department
| Department of Artificial Inteligence and Data Science
Sethu Institute of Technology
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
15
Publications
0
Projects
26
Scopus Citations
26
CrossRef
18 Years 9 Months Total Experience
Scopus
26
Citations
2
h-index
CrossRef
26
Citations
4
h-index
Google Scholar
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Professional Recognition
Jyestha Acharya Award
2025
Brainovision
Excellence in Leadership
2022
Toastmaster
SIH Mentors
2022
AICTE
Lilavathi Award
2021
AICTE
Community & Membership
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ISTE
Life MemberIEEE
MemberPersonal Details
Doctor of Philosophy
2022
Nanyang Technological University
Master of Technology
2011
N/A
Bachelor of Technology
2005
N/A
Head of the Department
Dec 2007 – Present
Sethu Institute of Technology
| Department of Artificial Inteligence and Data Science
Engineering and Technology
Scholarly Work
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Implementation and Performance Comparison of GMM Super Pixels for Automated Bleeding Detection in WCE Images
Quantum AI powered holographic and biosensor based system for non invasive early detection
Divya M A
-
Application No. :
202541023260 A
Filed :
28-03-2026
Published :
30-11--0001
Published
Quantum-AI-Powered Holographic and Biosensor-Based System for Non-Invasive Early Disease Detection
Rathnamala S
-
Patent No. :
.202541024163 A
Filed :
18-03-2025
Published :
28-03-2025
Published
Effective Wearable Sensor Device for predicting the heart rate using machine learning approach
S SIVA RANJANI
-
Application No. :
202241044975A
Filed :
01-01-2022
Published :
30-11--0001
Granted
DESIGN AUGMENTED INTELLIGENCE BASED SKIN CANCER CLASSIFICATION AND PREDICTION FRAMEWORK ANALYSIS
Dr.S.Rathnamala
Mrs.M.Jeevanandha
-
Application No. :
202441015224 A
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
Automatic detection of animal disease using histogram and multi-scale multi-orientation Gabor Wavelet features with deep convolutional neural networks
Open AccessAn Optimal Energy Competent Mission based Collision Avoidance Protocol Scheme for Multi-Rotor UAV's
An optimal CSBO-based detection and classification of breast cancer using deep SAC-LSTM design from histopathological image
Real-Time Stock Market Trend Estimation Using Online Machine Learning and Predictive Modeling Techniques
Design and Development of A Novel CNN-BiLSTM Hybrid Deep Learning Model for Cyber Attacks Detection in an IoHT Environment
10.1109/iatmsi64286.2025.10985456
Crossref: 4
GI Bleeding Detection in WCE Images Using E-ORB and ME-DEEP CAPSNET
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment
10.1109/icspis63676.2024.10812621
Crossref: 7
Utilizing Mobile Application Technologies for Enhanced Sustainable Waste Management in Urban India
Showing 1 to 8 of 15 publications