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Dr. Pattabiraman V

Professor

Email: pattabiraman.v@vit.ac.in

PhD: Bharathiar University

Research Area: Data Analytics and Machine Learning

Employee ID50168
Intercom 
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2011Data MiningBharathiar University
M.Tech2000Computer ApplicationBharathidasan University
B.E./B.Tech1997Computer ScienceMadras University
Post-Doctoral Experience if any 
Research Details
Areas of SpecializationData Mining, Data Science and Analytics, Machine Learning and Deep Learning
ORCID IDhttps://orcid.org/my-orcid?orcid=0000-0001-8734-2203

 

Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=35812386300

 

H-index (scopus)6
Google Scholar IDhttps://scholar.google.com/citations?user=KAGa3uwAAAAJ&hl=en

 

i10 index5
  
Completed Consultancy Project Details     
Completed Consultancy Project TitleFunding Agency
“Development of Recommendation System for Financial Advisors”M/s.  Datanet Techno Solutions Pvt. Ltd., Bengaluru
  
  
Completed Funded Project Details
Completed Funded Project TitleFunding Agency
An Automatic System for Prediction of Deep Insight on Gene Classification

using Dimensionality Reduction”

DBT
 Prediction of Water Quality and Pollution Level in Indian Coastal Data using Fuzzy Based ClassificationMoEF and CT

 

 Assessment of Persistent Natural Contaminants (PNC) in the Arctic Region for Aquatic Life to exist using Computational TechniquesNCAOR

 

Analyzing the Behaviour of the People in Social Networking using Constraint Based Clustering Technique and developing a Recommendation ModelDST
  
Patent Published Details
Patent Published TitlePatent Published Application No.
Look Ahead Bus Architecture (LaBarch) for FPGA Embedded System202041025653
High Performance Reconfigurable Soft-Core Processor For SIMD Applications202041040730A
Multivariate query response method for data aggregation on wireless sensor network (M-QRDAG)202121022884A
  
Patent Granted Details
Multivariate query response method for data aggregation on wireless sensor network (M-QRDAG)2021105342
  
Book / Book Chapter Published Details     
TitlePublisherYear
Data Mining Approach for Intelligent

Customer Behavior Analysis for a Retail Store

Springer International Publishing Switzerland2016
Self-repairing Functional unit Design in Embedded out-of-order Processor CoreSpringer International Publishing Switzerland2018
Social Network Analysis using Graph TheoryNOVA Science Publications New York2018
Automation of Assets Estimation for Accurate Tax Optimization Through Web Based Spatial Data Mining Techniques

 

Springer International Publishing Switzerland2019
A Similarity-Based Object Classification Using Deep Neural NetworksIGI Global2019
Dimensionality Reduction With Multi-Fold Deep Denoising AutoencoderIGI Global2019
Analysis Report for Statistics

in the Twitter Network

IGI Global2021
 
Major International Collaboration Details  – Academic Collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
1.     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

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