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The research landscape in the department is vibrant and diverse, encompassing various aspects of mathematical theory and applications. The ongoing research efforts of the scholars promise to contribute significantly to the advancement of mathematical knowledge, addressing both foundational and applied aspects of their respective fields.
S.No |
Name of the Scholar and Register Number |
Date of Registration |
Guide Name |
Topic |
Awarded / Completed/ On Going |
1 |
Bhuvaneswari C 31474/B2/2018 |
01.10.2018 |
Dr.A.Anbarasi |
Evolving Approaches of Enriched Machine Learning Methods for Autism Spectrum Detection among Children at Its Early Stage |
Synopsis Submitted |
2 |
Mythili T
31474/B2/2018 |
01.10.2018 |
Dr.A.Anbarasi |
A Proficient Deep Learning for Bio Medical Waste Recognition |
Awarded |
3 |
Priya K 31474/B2/2018 |
01.10.2018 |
Dr.A.Anbarasi |
Uncovering Adverse Impacts of COVID – 19 Vaccination using Machine Learning and Deep Learning for Morbidity and Postvaccination Reactogenicity Classification and Identification |
Completed |
4 |
Kalaiarasi E 31474/B2/2018 |
01.10.2018 |
Dr.A.Anbarasi |
Enhanced Deep Learning Model for Incisive Crop Yield Prediction Through Multi – Kernel and Multi –Parametric Approaches |
Awarded |
5 |
Suhasini V 31474/B2/2018 |
01.10.2018 |
Dr.N.Vimala |
Intelligent Framework for Detecting Fake News on Social Media Platforms using Sentiment Analysisand Artificial Intelligent Techniques |
Awarded |
6 |
Kanimozhi A
31474/B2/2018 |
01.10.2018 |
Dr.N.Vimala |
An Efficient Security for Privacy Preserving acrossCloud Architecture using HADOOP with Bigdata |
Awarded |
7 |
Ambika J 31474/B2/2018 |
01.10.2018 |
Dr.N.Vimala |
- |
On Going |
8 |
Geetha M 31474/B2/2018 |
01.10.2018 |
Dr.N.Vimala |
- |
On Going |
9 |
Gayathri K 31474/B2/2018 |
01.10.2018 |
Dr.R.Vidyabanu |
A Comprehensive Integrated Intrusion Detection (12D – MANET) Framework for Defending Mobile Ad-hocNetworks Against Intrusions and Attacks |
Awarded |
10 |
Komalavalli R 31474/B2/2018 |
01.10.2018 |
Dr.R.Vidyabanu |
A Novel Framework for COVID – 19 Drug Impact and Vaccine Hesitancy Identification with Rumor Tweets Detection |
Awarded |
11 |
RamajayamG 31474/B2/2018 |
01.10.2018 |
Dr.R.Vidyabanu |
- |
On Going |
12 |
Sundaravalli N 31474/B2/2018 |
01.10.2018 |
Dr.R.Vidyabanu |
- |
On Going |
13 |
Ramya N 31474/B2/2018 |
01.10.2018 |
Dr.T.Jayalakshmi |
- |
On Going |
14 |
Malathi M 31474/B2/2018 |
01.10.2018 |
Dr.T.Jayalakshmi |
- |
On Going |
15 |
Chellamuthu R CRE/CSC 21PDEC819 / 2022 |
01.12.2021 |
Dr.T.Jayalakshmi |
- |
On Going |
16 |
Maria Sheeba.C 31474/B2/2018 |
01.10.2018 |
Dr.K.Sarojini |
- |
On Going |
17 |
Priyadharshini.D 31474/B2/2018 |
01.10.2018 |
Dr.K.Sarojini |
- |
On Going |
18 |
Suganthi N 31474/B2/2018 |
01.10.2018 |
Dr.K.Sarojini |
- |
On Going |
19 |
Kavitha S 31474/B2/2018 |
01.10.2018 |
Dr.K.Sarojini |
Progressive Deep Learning Models for Fruit Disease Detection and Classification |
Synopsis Submitted |
20 |
Yamunadevi.M B1/117/2019 |
01.07.2019 |
Dr.P.Ponmuthuram alingam |
- |
On Going |