Back close

Dr. Manazhy Reshmi

Assistant Professor

Qualification: Ph.D
manazhyrashmi@am.amrita.edu

Bio

Dr. Manazhy Reshmi currently serves as an Assistant Professor at the Department of Electronics and Communication Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India.

Completed research form NIT Calicut. My research is based on Machine learning for image processing. Having a teaching experience of 10years and research experience for 5 years.

Qualification

  • 2020: Ph. D. from NIT Calicut
  • 2008: M.E from Anna University
  • 2005: B.Tech. EEE from Calicut University

 

Publications

Journal Article

Year : 2019

Optimal Landmark Point Selection Using Clustering for Manifold Modeling and Data Classification

Cite this Research Publication : Dr. Manazhy Reshmi and Sankaran, P., “Optimal Landmark Point Selection Using Clustering for Manifold Modeling and Data Classification”, Journal of Classification, vol. 36, no. 1, pp. 94 - 112, 2019.

Publisher : Journal of Classification, Springer

Conference Paper

Year : 2016

Sparse Optimization and Linear Discriminant Analysis for Face Recognition

Cite this Research Publication : R. Kumar Nagar, Dr. Manazhy Reshmi, and Sankaran, P., “Sparse Optimization and Linear Discriminant Analysis for Face Recognition”, in IMCIP 2016, Dept of Computer Science and Engineering, UVC Bangalore, 2016.

Publisher : IMCIP 2016, Dept of Computer Science and Engineering,

Year : 2015

Landmark point selection using clustering for data classification

Cite this Research Publication : Dr. Manazhy Reshmi and Sankaran, P., “Landmark point selection using clustering for data classification”, in 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS), Trivandrum, India, 2015.

Publisher : 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS),

Year : 2014

Extended Landmark Isomap for Data Classification

Cite this Research Publication : P. Sankaran and Dr. Manazhy Reshmi, “Extended Landmark Isomap for Data Classification”, in Eighth International Conference on Data Mining and Warehousing (ICDMW 2014), Bangalore, India, 2014.

Publisher : Eighth International Conference on Data Mining and Warehousing (ICDMW 2014),

Admissions Apply Now