Dr R Nandhakumar
Head of the Department
| Department of Computer Science and Applications
Vivekanandha College of Arts and Sciences for Women (Autonomous)
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
11
Publications
0
Projects
64
Scopus Citations
14
CrossRef
8 Years 9 Months Total Experience
Scopus
64
Citations
3
h-index
CrossRef
14
Citations
2
h-index
Google Scholar
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Professional Recognition
Eminent Researcher Award
2021
VIJ Trust, Tamilnadu
Community & Membership
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Personal Details
Doctor of Philosophy
2018
NATIONAL COUNCIL FOR CEMENT AND BUILDING MATERIALS
Master of Philosophy
2013
NATIONAL COUNCIL FOR CEMENT AND BUILDING MATERIALS
Master of Computer Applications
2012
N/A
Master of Business Administration
2012
N/A
Bachelor of Computer Applications
2009
N/A
Head of the Department
Nov 2024 – Present
Vivekanandha College of Arts and Sciences for Women (Autonomous)
| Department of Computer Science and Applications
Assistant Professor
May 2023 – Nov 2024
Vivekanandha College of Arts and Sciences for Women (Autonomous)
| Department of Computer Science and Applications
Head of the Department
Aug 2022 – Jan 2023
Unknown Organization
Assistant Professor
Jun 2019 – Jul 2022
Vivekanandha College of Arts and Sciences for Women (Autonomous)
| Department of Computer Science and Applications
Lecturer
Aug 2017 – Apr 2019
Bharathidasan University, Tiruchirappalli
Engineering and Technology
Scholarly Work
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Scholarly Publications
OSIS-NET Deep Learning Framework for Enhanced Osteoporosis Detection and Classification using MRI Imaging
An optimized multipath routing for secure communication of wireless sensor network
Scopus: 2
A Critical Analysis on Early Stage of Lungs and Colon Cancer Detection Using CNN Algorithm
Secure Data Deduplication System with Cyber Security Multikey Management in Cloud Storage
Open AccessA Network Optimized 3D Intercom Approach For UAV Communication Using 6G Network
CUSTOMER BEHAVIOR PREDICTION USING APRIORI BASED PAGE RANK ALGORITHM
Feature Reduction by Improvised Hybrid Algorithm for Predicting the IVF Success Rate
A comparison of the perceptive approaches for preprocessing the data set for predicting fertility success rate
Scopus: 48
Showing 1 to 8 of 11 publications