Dr. PARIMALA M

Designation : Associate Professor Grade 1
School / Centre : School of Computer Science Engineering and Information Systems
Department : Smart Computing

Educational Details

VIT, Vellore

BSc
Computer Science
Graduated in 2003

VIT, Vellore

MCA
Computer Science
Graduated in 2008

VIT, Vellore

Ph.D
Computer Science & Information Technology
Graduated in 2017

Post Doctoral Experiences


Research Details

Areas of Specialization
  • Data Analytics
  • Federated Learning
  • Machine Learning
  • Data Mining
  • Deep Learning


Completed Funded Project Details

Title Funding Agency
Spatio-temporal transmission model of Influenza A (H1N1) using clustering technique funded by the Indian Council of Medical Research (ICMR) Government of India under award number 32/1/2010-ECD-I National

Patent Granted Details

Title Application No.
SYSTEM AND METHOD FOR BLOCKCHAIN BASED SECURE MEDICAL RECORDS FARMER AI ASSISTANT- 201941041824

Books / Book Chapters Published Details

Title Publisher Published Year
Deep Clustering. In Handbook of Research on Deep Learning Innovations and Trends (pp. 164-179) IGI Global 2019
Innovative classification, regression model for predicting various diseases. In Data Analytics in Biomedical Engineering and Healthcare (pp. 179-203) Academic Press 2020
Visualization and Analysis of 3D Images Using Data Mining Approaches IGI Global 2020
, Emerging trends in 3D image Reconstruction and Modeling: 3D construction from Multiple Images - 0

Awards & Recognitions Details

  • Master Trainer in Analyst Security Operations center by NASSCOM

Other Information