careers@pes.edu +91-8055524555
Computer Science
ElectronicCityCampus
priyal@pes.edu
+91-80-66186610

Dr. Kamatchi Priya L

Associate Professor
Bio
Teaching
Responsibilities
Research
Publications

Education

  • Ph.D, Anna University 2018
  • M.E, Thiagarajar College of Engineering, Madurai 2007
  • B.E, Sethu Institute of technology, Enathi 2005

Experience

  • Assistant System Engineer, Tata Consulting Service, 2007-2009
  • Sr. Assistant Professor, Vickram College of Engineering, 2009-2016
  • Associate Professor, New Horizon College of Engineering, 2018-2020
  • Data Structures
  • Design and Analysis of Algorithms
  • Programming in C
  • Object Oriented Programming
  • Machine Intelligence
  • Object-oriented analysis and design

Research Interest

  • Disease Prediction
  • Machine Learning
  • Data Analytics

Journals

  • Kamatchi Priya L (2020) ?Missing Data Imputation methods for Autism Prediction?, International journal of Recent Technology and Engineering, 8 (5), 5580-5584.
  • Kamatchi Priya L, (2018), "Improvising Classification Performance for high dimensional and small sample data sets?, Asian journal of Information and technology. 17 (4), 261-270
  • Kamatchi Priya L, (2018), ?Data Analytics: Feature Extraction for Application with Small Sample in Classification Algorithms?, International of Business Informational Systems, 26 (3), 378-401.
  • Kamatchi Priya L, Dr.M.K.Kavitha Devi (2015), ?Spending on Education Determinant of Economic Growth Using Structural Equation Modeling?, International Journal of Applied Engineering Research 10 (7), 17991-18005.
  • Kamatchi Priya L, "Laplancian Fisher Clustering based Feature subset selection for semi-supervised data", International Journal of Applied Engineering Research, 10(75), 263-269.
  • Kamatchi Priya L (2014), ?A Review on linear and nonlinear Dimensionality Reduction Techniques Seven Techniques for Dimensionality Reduction?, An International Journal of Machine Learning and Applications (MLAIJ), 1(1).
  • Kamatchi Priya L (2014), ?A Review on linear and nonlinear Dimensionality Reduction Techniques ?, An International Journal of Machine Learning and Applications (MLAIJ),1(1),65-76.