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Dr. Parvathi R

Professor and Associate Dean (Academics)

Email: parvathi.r@vit.ac.in

PhD: Anna University,Chennai

Research Area: Data Mining, Machine Learning

Employee ID50186
Intercom1291
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2013Data MiningAnna University
M.Tech/MCA1995Computer ApplicationsBharathidasan University
B.E./B.Tech/B.Sc1992PhysicsBharathidasan University
Post-Doctoral Experience if any
Research Details
Areas of SpecializationSpatial Data Mining,Machine Learning,Data Analytics
ORCID IDhttps://orcid.org/my-orcid?orcid=0000-0002-6633-9897
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=37079473200
H-index (scopus)6
Google Scholar IDhttps://scholar.google.com/citations?user=p-_Q158AAAAJ&hl=en
i10 index1
Completed Consultancy Project Details               
Completed Consultancy Project Title1.      Development of the application software entitled “ Rain Gauge Inspection and Monitoring Systems RGIMS’ in India Meteorological Department, Chennai

2.      “Recommender system for Financial Advisors”, Datanet Techno Solutions Pvt. Ltd., Bengalur

 
Patent Published Details
Patent Published Title1.      Patent Number : 202041025652

         Title : REPEATED PATTERN FINDING USING FIRST BASE FIRST RUNNER CLUSTER SEQUENCE FINDER ALGORITHM AND PROTEIN STRUCTURE PREDICTION ON ENVIRONMENTAL SAMPLES

2.      Patent Number : 202041057022

Title : GAIT ANALYSIS USING MULTI MODAL SENSOR

3.    Patent Number : 202141003747

SMART FARMING WITH CLIMATE-CROP RECOMMENDER ALGORITHM

 
Book / Book Chapter Published Details
TitlePublisherYear
Book Chapter entitled “A Review On Spatial Big Data Analytics And Visualization” published in “Modern Technologies for Big Data Classification and Clustering”” ISSN/ISBN Nos: 9781522528050, Page Nos:
179-197
IGI Global2017
Book Chapter entitled “Biological Big Data Analysis and Visualization” published in “Modern Technologies for Big Data Classification and Clustering”” ISSN/ISBN Nos: 9781522528050 Page Nos:
244-259
IGI Global2017
Automation of Assets Estimation for Accurate Tax Optimization Through Web Based Spatial Data Mining Techniques

In Recent Advances in Computational Intelligence [pp 215-232|

Online ISBN978-3-030-12500-4

DOI https://doi.org/10.1007/978-3-030-12500-4_14

Springer2019
A Similarity-Based Object Classification Using Deep Neural Networks in  Handbook of Research on Deep Learning Innovations and Trends

 

IGI Global2019
Dimensionality Reduction With Multi-Fold Deep Denoising Autoencoder

Source Title: Deep Learning Techniques and Optimization Strategies in Big Data Analytics

 

IGI Global2019
Research Innovations and Trends on Computer Vision and Recognition Systems, Image Synthesis with Generative Adversarial Networks (GAN)Apple Academic Press2020
Ch. 4: Advanced Deep Learning Applications in Big Data Analytics

Deep Learning for Social Media Text Analytics (050819-015036)

IGI Global2020
Analysis report for statistics in the Twitter networkIGI Global2021
Awards & Recognition Details (only national and international awards and recognitions)
Name of the award, awarding agency, year of award
Research Award -2017, 2018,2019- VIT ,Chennai
Major International Collaboration Details  – Academic Collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
1.     Hybrid Optimized GRU-ECNN Models for Gait Recognition with Wearable IOT Devices, Department of Computer Science, Middlesex University, London, UK, Department of Computer Science and Engineering, Kebri Dehar University, Kebri Dehar, Ethiopia,2022

2.     Cat Swarm Optimization-Based Computer-Aided Diagnosis Model for Lung Cancer Classification in Computed Tomography Images

Department of Computer Science, Liverpool John Moores University, Liverpool L3 3AF, UK

Department of Electrical Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates,2022

3.     Automation and Machine Learning Framework using Finite Element Solution for Cervical Spine Applications,Center for Neurotrauma Research, Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA,2021

Major International Collaboration Details – Industry collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating industry, year of collaboration
1.     Hybrid Optimized GRU-ECNN Models for Gait Recognition with Wearable IOT Devices, Department of Computer Science, Middlesex University, London, UK, Department of Computer Science and Engineering, Kebri Dehar University, Kebri Dehar, Ethiopia,2022

2.     Cat Swarm Optimization-Based Computer-Aided Diagnosis Model for Lung Cancer Classification in Computed Tomography Images

Department of Computer Science, Liverpool John Moores University, Liverpool L3 3AF, UK

Department of Electrical Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates,2022

3.     Automation and Machine Learning Framework using Finite Element Solution for Cervical Spine Applications,Center for Neurotrauma Research, Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA,2021

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