Dr Jothi Kumar Chenguttuvan
Associate Professor
| Department of Computing Technologies
SRM Institute of Science and Technology
(2023)
Tamil Nadu
Expertise:
Computer Science Theory and Methods
42
Publications
0
Projects
150
Scopus Citations
112
CrossRef
13 Years 9 Months Total Experience
Scopus
150
Citations
6
h-index
CrossRef
112
Citations
5
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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The Institution of Engineers (India)
Life TimePersonal Details
Doctor of Philosophy
2020
N/A
Associate Professor
Apr 2023 – —
SRM Institute of Science and Technology
| Department of Computing Technologies
Assistant Professor
Jul 2010 – Apr 2023
SRM Institute of Science and Technology
| Department of Computing Technologies - KTR
Engineering and Technology
Scholarly Work
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A SYSTEM AND A METHOD FOR DETERMINING AN OPTIMAL PATH TO COMMUNICATE DATA BETWEEN NODES
SRM institute of Engineering and Technology
-
Patent No. :
202241045450
Filed :
18-05-2022
Published :
09-08-2022
Filed
AN OPTIMAL CHAIN BASED ROUTING SYSTEM FOR ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK
SRM IST
-
Application No. :
202141042755
Filed :
21-09-2021
Published :
08-04-2022
Published
A SYSTEM FOR PERFORMING ENERGY OPTIMIZED DYNAMIC CLUSTERING IN WSN AND A METHOD THEREOF
SRM IST
-
Application No. :
202141000949
Filed :
08-01-2021
Published :
15-01-2021
Published
Scholarly Publications
An Optimized YOLO-based License Plate Recognition System with Integrated Privacy Safeguards
An energy efficient hierarchical routing protocol for wireless sensor network using C2R approach
EUCOR: An Efficient Unequal Clustering and Optimal Routing in wireless sensor networks for energy conservation
Classification of Covid-19 X-Ray Images Using Fuzzy Gabor Filter and DCNN
Open Access
10.4028/p-qq6o9q
Scopus: 1
Blood Vessel Segmentation for Retinal Fundus Disease Detection
10.1109/ICCCI56745.2023.10128290
Scopus: 1
Identifying Severity of COVID-19 Medical Images by Categorizing Using HSDC Model
Open AccessBlind-Aid: Depth Prediction Using Object Detection to Facilitate Navigation for the Visually Impaired
EmoSense: Deep Analysis of Real-Time Facial Expression for Multi-Class Emotions
Showing 1 to 8 of 42 publications