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Dr. Manazhy Reshmi

Assistant Professor (Sr.Gr), Department of Electronics and Communication Engineering, School of Engineering, Amritapuri

Qualification: Ph.D
manazhyrashmi@am.amrita.edu
Google Scholar Profile
Research Interest: Artificial Intelligence, IOT, Image processing, Biomedical Applications

Bio

Dr. Manazhy Reshmi currently serves as an Assistant Professor(Sr. Gr) 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 : 2023

Real Time Recognition of ISL by Time Distributed CNN model using ISL video dataset

Cite this Research Publication : S Renjith, Rashmi Manazhy, "Real Time Recognition of ISL by Time Distributed CNN model using ISL video dataset", 2023

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

Year : 2016

Sparse Manifold Discriminant Embedding for Face Recognition

Cite this Research Publication : Rahul Kumar Nagar, Rashmi Manazhy, Praveen Sankaran, "Sparse Manifold Discriminant Embedding for Face Recognition", Procedia Computer Science Volume 89 Pages 743-748, 2016

Publisher : Elsevier

Conference Paper

Year : 2023

Web App For Predicting Fake Job Posts Using Ensemble Classifiers

Cite this Research Publication : S. M. Reddy, S. Mohammed Ali, K. M. Battula, P. R. N. l. Charan and M. Rashmi, "Web App For Predicting Fake Job Posts Using Ensemble Classifiers," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-5, doi: 10.1109/INCET57972.2023.10170567.

Publisher : IEEE

Year : 2023

Convolutional Neural Network Based Virtual Mouse

Cite this Research Publication : A. K. Raja, C. Sugandhi, G. Nymish, N. S. Havish and M. Rashmi, "Convolutional Neural Network Based Virtual Mouse," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-7, doi: 10.1109/INCET57972.2023.10169942.

Publisher : IEEE

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),

Book

Year : 2022

A Novel Fake Job Posting Detection: An Empirical Study and Performance Evaluation Using ML and Ensemble Techniques

Cite this Research Publication : Srikanth, C., Rashmi, M., Ramu, S., Guddeti, R.M.R. (2023). A Novel Fake Job Posting Detection: An Empirical Study and Performance Evaluation Using ML and Ensemble Techniques. In: Rao, U.P., Alazab, M., Gohil, B.N., Chelliah, P.R. (eds) Security, Privacy and Data Analytics. ISPDA 2022. Lecture Notes in Electrical Engineering, vol 1049. Springer, Singapore. https://doi.org/10.1007/978-981-99-3569-7_16

Publisher : Springer Nature Singapore

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