Geetha C
VIDWAN ID: 622087

Dr Geetha C

Female Doctor of Philosophy
Associate Professor
Sathyabama Institute of Science and Technology
Tamil Nadu
Expertise: Computer Science Artificial Intelligence
46 Publications
0 Projects
155 Scopus Citations
46 CrossRef
17 Years 2 Months Total Experience
Publications
46 Total
Articles
30
Chapters
2
Proceedings
14
Activity

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Scopus Scopus
155 Citations
5 h-index
CrossRef CrossRef
46 Citations
2 h-index
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Professional Recognition

MATLAB MENTOR
2024
ARK MATHWORKS
NPTEL MENTOR
2024
IIT MADRAS

Community & Membership

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ISTE
LIFETIME
Jan 2024

Personal Details

Doctor of Philosophy
2023
Research and Information System for Developing Countreis
Master of Technology
2009
N/A
Bachelor of Technology
2004
N/A
Associate Professor
Aug 2022 – Present
Sathyabama Institute of Science and Technology
Assistant Professor
Jun 2017 – Jul 2022
Bharath Institute of Higher Education & Research
Assistant Professor (Grade-II)
Sep 2008 – Apr 2014
Panimalar Engineering College
Lecturer
Jun 2006 – Aug 2008
Loyola Institute of Technology
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Scholarly Publications

Mathematical Model Analysis for Liver Tumor Prediction

Conference Paper
Year: 2021.
Authors: C. Geetha; AR. Arunachalam

Evaluation based Approaches for Liver Disease Prediction using Machine Learning Algorithms

Conference Paper
Year: 2021.
Authors: C. Geetha; AR. Arunachalam

Prediction of Liver Cirrhosis using Ensemble Machine Learning Algorithms

Conference Paper
Year: 2022. Pages: 453-457 .
Authors: C. Geetha; S. Maruthuperumal

Prediction of parameters of liver tumor using feature extraction and supervised function

Open Access
Journal Article
Measurement: Sensors. Year: 2022. Volume: 22 .
Authors: Geetha C; Arunachalam AR

Blockchain hashing prototype of blockchain mining and hashing with the help of secured hashing algorithm of SHA256 bits

Conference Paper
AIP Conference Proceedings. Year: 2025. Volume: 3257 , Issue: 1 .
Authors: C. Geetha; S. Bhuvaneshwaran; S. Don Inigo; D. Deepa

Reinforcement Learning Based Adaptive Bandwidth Allocation Framework for High Throughput Networks

Conference Paper
Year: 2026.
Authors: Vishnu P Parandhaman; R. Kavitha; Anitha G; Geetha C; C. Poongodi; B. Thiyaneswaran

Interpretable AI in Finance: Enhancing Transparency and Trust

Book Chapter
Year: 2025. Pages: 316-343 .
Authors: M.K. Vidhyalakshmi; C. Geetha; B. Yamini; G. Premalatha

Fixmate: Enhancing Device Repairability using Machine Learning

Conference Paper
Year: 2025. Pages: 1162-1170 .
Authors: Abhilash B; Vijay Athithiya M; C. Geetha
Showing 1 to 8 of 46 publications