Back close
Admissions
Dr-R-Karthi_associate-professor_cse_engineering_amritauniversity_coimbatore

Dr. R. Karthi

Vice Chairperson, School of Computing, Coimbatore | Associate Professor, School of Computing, Coimbatore

Qualification: BE, M.E, Ph.D
r_karthi@cb.amrita.edu
Research Interest: Application of Machine Learning Algorithms for Spatiotemporal Data Analysis, Data Analytics, Machine Learning

Bio Publications Awards
Bio

Dr. R. Karthi currently serves as as Vice Chairperson and Associate Professor at School of Computing, Coimbatore Campus. Her areas of research include Data Analytics, Machine Learning and application of Machine Learning Algorithms for spatiotemporal data analysis. She obtained her B. E. degree in Electronics and Communication Engineering in the year 1996 and M. E. degree in Computer Science in the year 2000. She has been awarded with Ph. D. from Anna University, Chennai in the year 2010.

Dr. Karthi was involved in the setup of Amrita CTS Innovation Lab with the funding received from Cognizant Technologies in 2013. The vision of the lab is to bring together multi-disciplinary students and provide a platform for researchers to find innovative solutions to real world problems in areas of machine learning and image processing. The lab provides facilities to M. Tech and B. Tech students who pursue their research in the areas image processing and networking and machine learning.

Publications

Conference Paper

Year : 2020

Development of Intrusion Detection System Using Deep Learning for Classifying Attacks in Power Systems

Cite this Research Publication : Ankitdeshpandey and R. Karthi, “Development of Intrusion Detection System Using Deep Learning for Classifying Attacks in Power Systems”, in Soft Computing: Theories and Applications, Singapore, 2020.

Publisher : Soft Computing: Theories and Applications

Year : 2020

Graph Similarity-based Hierarchical Clustering of Trajectory Data.

Cite this Research Publication : B.A. Sabarish, R. Karthi, and Dr. Gireesh K. T., “Graph Similarity-based Hierarchical Clustering of Trajectory Data.”, in Procedia Computer Science., 2020.

Publisher : Procedia Computer Science.

Year : 2019

Evaluation of Water Body Extraction from Satellite Images Using Open-Source Tools

Cite this Research Publication : R. Paul K Reddy, Srija, S. Sai, R. Karthi, and Dr. Geetha Srikanth, “Evaluation of Water Body Extraction from Satellite Images Using Open-Source Tools”, in Proceedings of ISTA 2018 - Intelligent Systems, Technologies and Applications, Advances in Intelligent Systems and Computing, Singapore, 2019, vol. 910, pp. 129-140.

Publisher : Proceedings of ISTA 2018 - Intelligent Systems, Technologies and Applications, Advances in Intelligent Systems and Computing

Journal Article

Year : 2020

Building a Intrusion Detection System for IoT Environment using Machine Learning Techniques

Cite this Research Publication : K. V. V. N. L. Sai Kiran, Devisetty, R. N. Kamakshi, N. Kalyan, P., Mukundini, K., and R. Karthi, “Building a Intrusion Detection System for IoT Environment using Machine Learning Techniques”, Procedia Computer Science, vol. 171, pp. 2372-2379, 2020.

Publisher : Procedia Computer Science

Year : 2020

String Reduced Dimensional Representation of Spatial Trajectory for Clustering

Cite this Research Publication : B.A. Sabarish, R. Karthi, and Dr. Gireesh K. T., “String Reduced Dimensional Representation of Spatial Trajectory for Clustering”, 2020.

Publisher : (2020)

Year : 2019

String based Feature Representation for Trajectory Clustering

Cite this Research Publication : B.A. Sabarish, R. Karthi, and Dr. Gireesh K. T., “String based Feature Representation for Trajectory Clustering ”, International Journal of Embedded and Real-Time Communication Systems (IJERTCS), vol. 10, no. 2, pp. 1-18, 2019.

Publisher : International Journal of Embedded and Real-Time Communication Systems (IJERTCS)

Year : 2018

Spatial Outlier Detection Algorithm for Trajectory Data

Cite this Research Publication : B.A. Sabarish, R. Karthi, and Dr. Gireesh K. T., “Spatial Outlier Detection Algorithm for Trajectory Data”, International Journal of Pure and Applied Mathematics, vol. 118, pp. 325-330, 2018.

Publisher : International Journal of Pure and Applied Mathematics

Year : 2018

Clustering of trajectory data using hierarchical approaches

Cite this Research Publication : B.A. Sabarish, R. Karthi, and Dr. Gireesh K. T., “Clustering of trajectory data using hierarchical approaches”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 215-226, 2018.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2012

Automatic Image Annotation by Classification Using Mpeg-7 Features

Cite this Research Publication : M. P.Gangan and R. Karthi, “Automatic Image Annotation by Classification Using Mpeg-7 Features”, International Journal of Scientific and Research Publications (IJSRP), vol. 2, no. 9, 2012.

Publisher : IJSRP

Year : 2011

Neighborhood search assisted particle swarm optimization (NPSO) algorithm for partitional data clustering problems

Cite this Research Publication : R. Karthi, Rajendran, Cb, and K. Ramesh Kumar, “Neighborhood search assisted particle swarm optimization (NPSO) algorithm for partitional data clustering problems”, Communications in Computer and Information Science, vol. 192 CCIS, pp. 552-561, 2011

Publisher : Communications in Computer and Information Science

Book Chapter

Year : 2015

A Survey of Location Prediction Using Trajectory Mining

Cite this Research Publication : B.A. Sabarish, R. Karthi, and Dr. Gireesh K. T., “A Survey of Location Prediction Using Trajectory Mining”, in Artificial Intelligence and Evolutionary Algorithms in Engineering Systems: Proceedings of ICAEES 2014, Volume 1, P. L. Suresh, Dash, S. Subhransu, and Panigrahi, K. Bijaya, Eds. New Delhi: Springer India, 2015, pp. 119–127.

Publisher : Artificial Intelligence and Evolutionary Algorithms in Engineering Systems: Proceedings of ICAEES 2014,

Year : 2009

Discrete Particle Swarm Optimization Algorithm for Data Clustering

Cite this Research Publication : R. Karthi, Arumugam, S., and K. Ramesh Kumar, “Discrete Particle Swarm Optimization Algorithm for Data Clustering”, in Nature Inspired Cooperative Strategies for Optimization (NICSO 2008) , Springer-Verlag, Berlin, Heidel berg, vol. 236, 2009, pp. 75 - 88.

Publisher : Nature Inspired Cooperative Strategies for Optimization (NICSO 2008) ,

Conference Proceedings

Year : 2011

Modified Discrete Particle Swarm Optimization Algorithm (MDPSOA) for static permutation flowshop scheduling to minimize total flowtime of jobs

Cite this Research Publication : R. K., C., R., and R. Karthi, “Modified Discrete Particle Swarm Optimization Algorithm (MDPSOA) for static permutation flowshop scheduling to minimize total flowtime of jobs”, Proceedings of Emerging Trends in Industrial Engineering, ETRIM 2011. NIT Calicut, 2011.

Publisher : NIT Calicut

Year : 2009

A Novel Discrete Particle Swarm Clustering Algorithm for Data Clustering

Cite this Research Publication : R. Karthi, Arumugam, S., and K. Ramesh Kumar, “A Novel Discrete Particle Swarm Clustering Algorithm for Data Clustering”, COMPUTE '09 Proceedings of the 2nd Bangalore Annual Compute Conference, vol. 16. ACM, New York, NY, USA, 2009.

Publisher : COMPUTE '09 Proceedings of the 2nd Bangalore Annual Compute Conference

Year : 2008

Two-step iterative algorithm to extract generative video parameters from video sequences

Cite this Research Publication : R. Naga Yathindra Gupta, E. Rao, U., A. Baskar, and R. Karthi, “Two-step iterative algorithm to extract generative video parameters from video sequences”, Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007, vol. 3. Sivakasi, Tamil Nadu, pp. 458-463, 2008.

Publisher : Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007

Awards
  • Certificate of Recognition for outstanding contribution to campus connect program – Infosys (2011). The award was conferred for introducing new industry elective course and laboratory courses titled “Business Intelligence” for students of CSE – UG and PG degree programme.
  • Best Paper Award: Received paper award for the paper: Rameshkumar, K., Rajendran, C., Karthi, R.,Modified Discrete Particle Swarm Optimization Algorithm (MDPSOA) for static permutation flow shop scheduling to minimize total flow time of jobs, Proceedings of Emerging Trends in Industrial Engineering, ETRIM 2011, NIT Calicut, 2011.
Admissions Apply Now