Manibharathi Deenathayalan
VIDWAN ID: 458822

Dr Manibharathi Deenathayalan

Male Doctor of Philosophy
Assistant Professor | Department of Electronics and Communication Engineering
Government College of Engineering
Tamil Nadu
Expertise: Computer Science Information Systems
8 Publications
0 Projects
13 Scopus Citations
3 CrossRef
15 Years 4 Months Total Experience
Publications
8 Total
Articles
3
Chapters
2
Proceedings
3
Activity

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Scopus Scopus
13 Citations
2 h-index
CrossRef CrossRef
3 Citations
1 h-index
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Professional Recognition

Guided for Best Project Award
2022
Government College of Engineering
One among 74 winners, of the total 1780 participant teams
2023
IIT Bombay FOSSEE Mapathon, 2023 (3rd Edition)
Guided Student Project Scheme funding Rs.7500
2025
Tamilnadu State Council for Science and Technology

Community & Membership

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IAENG
Member Number: 328980
Jan 2022

Personal Details

Doctor of Philosophy
2025
Sultan Qaboos University, Muscat
Master of Engineering
2011
IndraStra Global
Bachelor of Engineering
2009
N/A
Assistant Professor
May 2017 – Present
Government College of Engineering | Department of Electronics and Communication Engineering
Assistant Professor
May 2011 – Aug 2017
Coimbatore Institute of Technology
Engineering and Technology
Computer Science Information Systems

Related Profiles

Scholarly Work

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Scholarly Publications

Harnessing Grey Wolf Optimization for Enhanced Deep Learning CNN in Rheumatoid Arthritis X-ray Analysis

Conference Paper
Year: 2026. Volume: 122 SIST , Pages: 83-94 .
Authors: Saveeth Ramanathan; Aruna Devi Karuppasamy; Manibharathi Deenathayalan; Ravisankar

Handwritten Character Recognition from Small Grayscale Images Using Pre-trained Models

Conference Paper
Year: 2025. Volume: 1165 , Pages: 191-201 .
Authors: D. Manibharathi; C. Vasanthanayaki; Sanjeev Kumar

Integration of Deep Direction Distribution Feature Extraction and Optimized Attention Based Double Hidden Layer GRNN Models for Robust Cursive Handwriting Recognition

Journal Article
Authors: D. Manibharathi; C. Vasanthanayaki

Internet of Things-driven intelligent techniques for airborne health hazard

Book Chapter
Year: 2025. Pages: 121-137 .
Authors: N. Sathish; D. Manibharathi; Jamuna Rani Muthu; Afizan Azman

A Neutrosophic Logic Ruled Based Machine Learning Approaches for Chronic Kidney Disease Risk Prediction

Journal Article
Year: 2025.
Authors: Mohanty, B.S.; Krishna Priya, R.; Alias, L.; Vijaya Kumar Reddy, R.; Raut, P.K.; Isaac, S.; Manibharathi, D.; Saravanakumar, C.; Panda, N.R.; Broumi, S.

From Alert to Doze off: Insights from ECG-Based Heart Rate Variability among Drivers

Conference Paper
Year: 2024.
Authors: Satish Bindal; Swathigavaishnave Deenathayalan; Parthiban Arjuna; Ravi Saini; Manibharathi Deenathayalan; K. Ramesha

Federated Learning in Heterogeneous Unmanned Aerial Vehicle

Book Chapter
Year: 2025. Pages: 109-125 .
Authors: N. Sathish; D. Manibharathi; V. Yokesh; Danilo Pelusi

A Neutrosophic Logic Ruled Based Machine Learning Approaches for Chronic Kidney Disease Risk Prediction

Journal Article
Year: 2024.
Authors: Bhabani S. Mohanty; Krishna Priya R; Liya Alias; R. Vijaya Kumar Reddy; Prasanta Kumar Raut; Samson Isaac; Manibharathi.D; C. Saravanakumar; Nihar Ranjan Panda; Said Broumi