Register Number
Name of the Scholar
Title of the Thesis
Date of Registration
Date of Awarded
Status
Scholars (under direct supervision)
11724
L. Godlin Atlas
Detection of Retinal Hemorrhages in Fundus Images using ANFIS classifier and various Segmentation Techniques
10.12.2014
09.11.2018
Awarded
11722
S. Tamilarasan
A Novel Approaches towards Spectrum Access and Channel Allocation on Hybrid Cognitive Radio Networks using Game Theory and Fuzzy Models
20.06.2019
11723
B. Vijaya Kumar
An Effective Approach for Brain Tumor Segmentation and Classification using MRI with Novel Machine Learning Schemes
11.12.2014
19.02.2020
11793
K. Silambarasan
Enhancing the Optimization Techniques using Health Care Services in IoT and Cloud
30.01.2015
23.09.2020
11833
S. Raghavendran
Exploring Efficient Methods for Leaf Disease Identification and Classification for Security in Cloud Computing through Encryption and Decryption Techniques
16.02.2015
27.01.2022
1721412171010
A. Anbarasa Kumar
Preventing Cyber Space Intrusion through Data Analytics
10.08.2017
27.01.2021
19114012171001
A. Udayakumar
Data Analytics for Precision Agriculture
19.12.2019
30.03.2023
2012401 2172032
G.P.Dimf
Optimized Deep Learning Classifiers for Detection of Power Theft and Estimation of Electricity Losses
11.03.2020
--
Submitted
Scholars (under Co- supervision)
11947
M. Sivasubramanian
Self-Organizing Map-Based Different Color Image Segmentation with Clustering Algorithms and Saliency Map
16.06.2015
27.10.2020
17224012271140
A. Peter
Applications of Machine Learning Techniques in Data Mining
20.06.2023
Scholars (ongoing)
0113082282017
T.L.Shiny
Design of Deep Learning Techniques for the Detection of Cervical Cancer
Till date
Ongoing
20227042171007
A. Maharajan
Cyber security attacks and defenses for maritime industry
30.12.2020
20124012172033
J. Danny Anurisha
A Novel Digitization Approach for Tamil Character Recognition in Palm Leaf Manuscripts using Machine Learning Techniques
17.02.2020
Disclaimer: The details in the webpages on view more option are fully maintained by the faculty members concerned. The university is not responsible for any data provided in the view more option in faculty profile.