M Geetha
VIDWAN ID: 233084

Dr M Geetha

Female Doctor of Philosophy
Associate Professor | Department of Computer Science and Engineering
Kongu Engineering College
Tamil Nadu
Expertise: Computer Science Artificial Intelligence
30 Publications
0 Projects
328 Scopus Citations
246 CrossRef
18 Years 2 Months Total Experience
Publications
30 Total
Articles
12
Chapters
1
Proceedings
17
Activity

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Scopus Scopus
328 Citations
10 h-index
CrossRef CrossRef
246 Citations
8 h-index
Google Scholar Google Scholar

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Professional Recognition

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Community & Membership

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Computer Society of India
Life Member
Jan 2014

Personal Details

Doctor of Philosophy
2021
N/A
Associate Professor
Jun 2023 – Present
Kongu Engineering College | Department of Computer Science and Engineering
Assistant Professor - Selection Grade
Jun 2020 – May 2022
Kongu Engineering College | Department of Computer Science and Engineering
Assistant Professor - Senior Scale
Dec 2012 – Jun 2020
Kongu Engineering College | Department of Computer Science and Engineering
Assistant Professor
Jun 2010 – Nov 2012
Kongu Engineering College
Lecturer
Jul 2007 – Jul 2010
Kongu Engineering College | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Scholarly Publications

The moderating effect of self-efficacy in the relationship between perceived job characteristics and work engagement

Journal Article
Management and Accounting Review. Year: 2018. Volume: 17 , Issue: 2 , Pages: 79-92 .
Authors: Ramesh Krishnan; Koe Wei Loon; Rozana Othman; Geetha Muthusamy; Nurul Ezaili Alias

Personality Prediction for Online Interview

Conference Paper
Year: 2022.
Authors: S.K. Nivetha; M. Geetha; R.S. Latha; K. Sneha; S. Sobika; C. Yamuna

Retraction Notice: Performance Evaluation of Convolutional Neural Network Based Models On Signature Verification System (2022 International Conference on Computer Communication and Informatics (ICCCI) DOI: 10.1109/ICCCI54379.2022.9741030)

Erratum
Year: 2022.
Authors: R. C. Suganthe; M. Geetha; G.R. Sreekanth; R. Manjunath; S.Mithilesh Krishna; P.Muthu Balaji

Diagnosis of Alzheimer's Disease from Brain Magnetic Resonance Imaging Images using Deep Learning Algorithms

Open Access
Journal Article
Advances in Electrical and Computer Engineering. Year: 2020. Volume: 20 , Issue: 3 , Pages: 57-64 .
Authors: R. C. SUGANTHE; R. S. LATHA; M. GEETHA; G. R. SREEKANTH

Automatic Fruit Detection System using Multilayer Deep Convolution Neural Network

Journal Article
Year: 2021. Pages: 1-5 .
Authors: R.S. Latha; G.R. Sreekanth; R.C. Suganthe; M. Geetha; N. Swathi; S. Vaishnavi; P. Sonasri

Stock Movement Prediction using KNN Machine Learning Algorithm

Conference Paper
Year: 2022. Pages: 1-5 .
Authors: Latha, R.S.; Sreekanth, G.R.; Suganthe, R.C.; Geetha, M.; Selvaraj, R.E.; Balaji, S.; Harini, K.R.; Ponnusamy, P.P.

Performance Evaluation of Convolutional Neural Network Based Models On Signature Verification System

Conference Paper
Year: 2022. Pages: 1-6 .
Authors: Suganthe, R.C.; Geetha, M.; Sreekanth, G.R.; Manjunath, R.; Krishna, S.M.; Balaji, P.M.

Deep Learning Based Yield Prediction Model To Predict The Yield of Paddy In Cauvery Delta Region

Conference Paper
Year: 2022.
Authors: M. Geetha; R.C. Suganthe; R.S. Latha; R. Anju; K. Sastimalar; P. Shobana
Showing 1 to 8 of 30 publications