Affiliation
Department of Computer Applications (MCA), Ramapuram Campus, SRM Institute of Science and Technology
V.PAVITHRAAssistant Professor
Area or Subject
Computer Science
Educational Qualifications
Degree –B.SC (Computer Science)
Area or Subject – Computer Science
University – VIT UNIVERSITY
Awarded Year – 2009
Degree – M.SC (Computer Science)
Area or Subject – Computer Science
University – VIT UNIVERSITY
Awarded Year – 2011
Degree – M.Phil.
Area or Subject – Computer Science
University – Tiruvallur University
Awarded Year – 2013
Degree – Ph.D.
Area or Subject – Computer Science
University – VELS UNIVERISTY
Awarded Year – 2022
Courses: Data analysis using R, Data Structure, DBMS,0S, AWD
Research Interests: Data Mining, Big Data, Network Security
Papers Presented:
Presented a paper on “Predicting cardiovascular disease risk using data mining techniques “at the ICACT 2018 held at Stella Marris College on feb 2,2018.
Presented a paper on “A Review on Predicting Cardiovascular Diseases Using Data Mining at the conference ICCBI 2019 held at Vaigai college of Engineering, Madurai on dec 2,2019.
Presented a paper on “Review of Feature Selection Techniques for Predicting Diseases “held at PPG Institute of Technology Coimbatore on June 11 ,2020.
Selected Publications:
Published a Paper titled as “A Review on Predicting Cardiovascular Diseases Using Data Mining Techniques” Paper Published In Springer Nature 2019(Indexed In Scopus).
Published a Paper titled as “Hybrid Feature Selection Technique for Predicting Cardiovascular Diseases” Paper Published in Elsevier 2021(Indexed in Scopus).
Published a Paper titled as” Comparative Study of Feature Selection Technique Using Hrflc Classification Model” Paper Is Published In Ieee 2021(Indexed In Scopus)
Published a Paper titled as” Feature Selection Using Adaptive Shap Boost Algorithm for Predicting Cardiovascular Disease published in Journal of Cardiovascular Disease Research, vol 13, Issue 02,2022.
Books Chapters
Deep Learning in Health Care Chapter is published in Book Titled “Intelligent Healthcare by Springer Innovations In Communication And Computing Series 2021 (Scopus Indexed).
Machine Learning Algorithm chapter is accepted in Book Titled “Enterprise Digital Transformation Technology, Tools and Use Cases by CRC PRESS TAYLOR AND FRANCIS GROUP (2021).
Patent Published: Smart Farm Management Information Systems Based On The IOT.
Working Papers:
Diseases prediction using Big Data
Work in Progress:
Other Professional Experience: Nil
Academic Experience: 3.5 years
Achievements:
Workshops /Seminars/Conferences: Participated in a one-day workshop on writing Research articles using LATEX organized by TCS & LT Division, SCSE, and VIT University. Participated in Webinar on Machine Learning Algorithm, Application and Trends organized by Internal quality assurance cell. Achievements and Awards: NIL Academic / Professional Membership: CSI (CHENNAI CHAPTER -2022-2023)