Poongothai E
VIDWAN ID: 367381

Dr Poongothai E

Female Doctor of Philosophy
Assistant Professor | Department of Computational Intelligence - KTR
SRM Institute of Science and Technology
Tamil Nadu
Expertise: Computer Science Artificial Intelligence
31 Publications
0 Projects
215 Scopus Citations
174 CrossRef
6 Years 2 Months Total Experience
Publications
31 Total
Articles
12
Chapters
8
Proceedings
11
Activity

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Scopus Scopus
215 Citations
6 h-index
CrossRef CrossRef
174 Citations
5 h-index
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Professional Recognition

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Community & Membership

IST
Life time member
May 2022 – Jan 2023
ISTE
LIFE TIME
Jan 2023
ACM
Annual
Jan 2022

Personal Details

Doctor of Philosophy
2020
Remote Sensing Applications Division
Assistant Professor
Feb 2021 – Present
SRM Institute of Science and Technology | Department of Computational Intelligence - KTR
Assistant Professor
Jul 2019 – Jan 2020
B.S. Abdur Rahman Crescent Institute of Science & Technology | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Artificial Intelligence

Related Profiles

Scholarly Work

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Higher privacy optimizations for securing wireless Networks in IOT environment

Dr A Vijay Vasanth
SRM Institute of Science and Technology
Kattankulathur
- Patent No. : 202241025887 Filed : 04-05-2022
Published : 20-05-2022 Published

General framework to handle large class of inference problems using label sequence learning from realtime monitoring videos

Mr. P. Glaret subin
- Application No. : 202141037738 Filed : 19-08-2021
Published : 30-11--0001 Published

Scholarly Publications

An Empirical Evaluation of Machine Learning Techniques for Crop Prediction

Open Access
Journal Article
International Journal of Interactive Multimedia and Artificial Intelligence. Year: 2023. Volume: 8 , Issue: 4 , Pages: 96-104 .
Authors: G. Mariammal; A. Suruliandi; S. P. Raja; E. Poongothai

Empirical Evaluation of Machine Learning Techniques for Car Price Prediction

Conference Paper
Year: 2024. Volume: 2176 CCIS , Pages: 193-206 .
Authors: E. Poongothai; Sandra Maria Tony; C. Amuthadevi; A. Kasthuri; Korhan Cengiz

Performance Analysis of Various Machine Learning Techniques for Mental Health Tracking

Conference Paper
Year: 2024. Volume: 2176 CCIS , Pages: 159-170 .
Authors: Poongothai; Kasthuri; Mariammal; Jahnavi Yeturu

Image-Based Early Classification of Tomato Leaf Diseases Using Deep Neural Networks

Conference Paper
Year: 2024.
Authors: Rigved Thorat; Gnana Surya Teja Reddy; E. Poongothai

Diabetic Retinopathy Detection Using ResNet-50 and ResNet-152 Deep Learning Approach

Conference Paper
Year: 2025.
Authors: Varun Gadi; Palak Seth; E. Poongothai

Diabetic Retinopathy Detection Using Fine-Tuned ResNet-50, ResNet-152, and a Hybrid Classical-Quantum Model: A Comprehensive Deep Learning Approach

Book Chapter
Year: 2026. Pages: 159-189 .
Authors: Varun Gadi; Palak Seth; E. Poongothai; R. Ravi Chakravarthi

AI-Driven Algorithmic Engine: Transforming Crypto Asset Management with Clustering Technique

Book Chapter
Year: 2026. Volume: 180 , Pages: 391-406 .
Authors: E. Poongothai; S. Hariharan; A. Thiruvenkata Muhilan; Pujitha Bobbili

LSTM Powered Defense Against Morphed Video Manipulation

Conference Paper
Year: 2026. Volume: 2688 CCIS , Pages: 178-192 .
Authors: Ayush Kumar Gupta; P. S. Akash; E. Poongothai
Showing 1 to 8 of 31 publications