Dr Sundararajan S
Professor
| Department of Computer Applications
SNS College of Technology
Tamil Nadu
Expertise:
Computer Science Information Systems
5
Publications
0
Projects
9
Scopus Citations
4
CrossRef
26 Years 2 Months Total Experience
Scopus
9
Citations
2
h-index
CrossRef
4
Citations
1
h-index
Google Scholar
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Professional Recognition
National Teachers Award 2022
2021
I2OR
Preeminent Academic Leader
2022
IRSD
Community & Membership
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International Institute of Organized Research
MemberPersonal Details
Doctor of Philosophy
2017
CARDAMOM PLANTERS ASSOCIATION COLLEGE
Master of Philosophy
2005
CARDAMOM PLANTERS ASSOCIATION COLLEGE
Master of Computer Applications
1998
NATIONAL COUNCIL FOR CEMENT AND BUILDING MATERIALS
Bachelor of Science
1995
Harvard College of Education
Professor
Aug 2006 – Present
SNS College of Technology
| Department of Computer Applications
Lecturer
May 2000 – May 2006
Sri Ramakrishna Mission Vidyalaya College of Arts and Science
Engineering and Technology
Scholarly Work
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AN IOT AND MACHINE LEARNING ENABLED SMART SOLAR- POWERED PESTICIDE SPRAYER FOR PRECISION AGRICULTURE
Gowtham S
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Application No. :
202541026572
Filed :
22-03-2025
Published :
30-11--0001
Published
A Novel portable machine to sanitize footwear
Sundararajan S
-
Application No. :
202241052384
Filed :
21-03-2023
Published :
30-11--0001
Published
Cyber Security Framework for Digital Banking, threads, challenges and Solutions
Organization
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Application No. :
202241004203A
Filed :
25-01-2022
Published :
04-02-2022
Published
Smart Pixel Password for preventing false Statements in Networking
N Nandhini/SNS College of Technology
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Patent No. :
202141008892
Filed :
03-03-2021
Published :
12-03-2021
Published
Scholarly Publications
Data-Driven Approaches for Crop Yield Prediction Using Machine Learning Techniques
IoT-Based Air Quality Monitoring and Alert System: Addressing Pollution Challenges in Indian Metropolises
Building Trust Management using Blockchain Technology
Message "the important thing is to strive towards a goal which is not immediately visible. That goal is not the concern of the mind, but of the spirit."
An efficient hybrid approach for data clustering using dynamic k-means algorithm and firefly algorithm
Scopus: 4