Mr Appasami Govindasamy
Associate Professor
SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES (DEEMED TO BE UNIVERSITY)
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
16
Publications
0
Projects
61
Scopus Citations
38
CrossRef
6 Years 8 Months Total Experience
Scopus
61
Citations
4
h-index
CrossRef
38
Citations
3
h-index
Google Scholar
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Professional Recognition
Data Science - Doamin Star
2023
NPTEL
Researcher Award
2023
NITT
IBM Machine Learning Specialist - Advanced
2023
IBM
Top 1% Gold medalists in Deep Learning course
2025
NPTEL
Best Teacher
2016
Dr. Pauls Engineering College
Top 1% Gold medalists in the Machine Learning course
2024
NPTEL
Doctoral Fellowship (2020-24
2020
MHRD
Top 5% Gold medalists in Research Methodology course
2023
NPTEL
Community & Membership
internet society
member(2332977)Institution of Electronics and Telecommunications
Life memberInstitution of Engineers
Life memberIndian Society for Technical Education
Life memberComputer Society of India
Life memberIndian Mathematical Society
MemberRamanujan Mathematical Society
MemberIndian Science Congress Association
Life memberPersonal Details
Doctor of Philosophy
2026
University of Allahabad, Allahabad
Master of Technology
2009
BEAMS
Associate Professor
Jan 2026 – Present
SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES (DEEMED TO BE UNIVERSITY)
Research Scholar
Jan 2020 – Jan 2026
National Institute of Technology, Tiruchirapalli
| Department of Computer Applications
Engineering and Technology
Scholarly Work
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COMPUTERIZED DETECTION OF COVID-19 DISEASE USING DNN AND IMAGES PROCESSING
Mr. G. APPASAMI
-
Patent No. :
30/2022
Filed :
21-07-2022
Published :
29-07-2022
Published
Scholarly Publications
Identification of Pneumonia in Chest X-Ray Images Using Generative and Explainable AI Methods
A deep learning-based COVID-19 classification from chest X-ray image: case study
Open AccessA novel lightweight CNN design for MRI brain tumor image classification with performance-driven optimization
Open AccessCross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification
Federated learning for secure medical MRI brain tumor image classification
Open AccessQuasi-Oppositional Satin Bowerbird with Deep Learning based Content based Image Retrieval
Deep Learning-Based Prediction Models for Colorectal Disease: Enhancing Diagnostic Accuracy
Open AccessImplementation of the deep learning-based website for pneumonia detection & classification
Showing 1 to 8 of 16 publications