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Dr. Sindhu Ravindran

Assistant Professor (Selection Grade), Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Chennai

Qualification: B. Tech., MS, Ph.D
r_sindhu@ch.amrita.edu
Research Interest: Pattern Recognition Applications, Evolutionary Optimization Algorithms

Bio

Dr. Sindhu Ravindran currently serves as the Assistant Professor (Selection Grade), in the Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Chennai.

Professional Appointments

2 years of teaching experience and in reputed Engineering Universities

Publications

Journal Article

Year : 2021

An improved elephant herding optimization using sine–cosine mechanism and opposition based learning for global optimization problems

Cite this Research Publication : Muthusamy, H., Ravindran, S, Yaacob, S, & Polat, K, “An improved elephant herding optimization using sine–cosine mechanism and opposition based learning for global optimization problems”. Expert Systems with Applications, 172, 114607, 2021. [Q1, IF:5.45 (2019-2020)]

Year : 2018

Improved Binary Dragonfly Optimization Algorithm and Wavelet Packet Based Nonlinear Features for Infant Cry Classification

Cite this Research Publication : M.Hariharan, R. Sindhu, Vikneswaran Vijean, Haniza Yazid, Thiyagar Nadarajaw, Kemal Polat, Sazali Yaacob, “Improved Binary Dragonfly Optimization Algorithm and Wavelet Packet Based Nonlinear Features for Infant Cry Classification”, Computer Methods and Programs Biomedicine (Elsevier), 155, pp. 39-51, 2018. [Q2, IF:2.503(2016)]

Publisher : Elsevier

Year : 2017

A Hybrid SCA Inspired BBO for Feature Selection Problems

Cite this Research Publication : R. Sindhu, Ruzelita Ngadiran, Yasmin Mohd Yacob, Nik Adilah Hanin Zahri, M. Hariharan and Kemal Polat, “A SCA inspired BBO for feature selection problems”, Mathamatical Problems in Engineering (Hindawi), 2019. [Q2, IF:1.475 (2017)]

Year : 2016

Sine-Cosine Algorithm for Feature Selection with Elitism Strategy and New Updating Mechanism

Cite this Research Publication : R. Sindhu, Ruzelita Ngadiran, Yasmin Mohd Yacob, Nik Adilah Hanin Zahri and M. Hariharan, “Sine-Cosine Algorithm for Feature Selection with Elitism Strategy and New Updating Mechanism”, Neural Computing and Applications (Springer), 28(10), pp. 2947 – 2958, 2017. [Q2, IF:2.505(2016)]

Publisher : Springer

Year : 2014

A hybrid expert system for automatic detection of voice disorders

Cite this Research Publication : R. Sindhu, Neoh. S.C and M. Hariharan,“A hybrid expert system for automatic detection of voice disorders”, International Journal of Medical Engineering and Informatics (Inderscience)-Q3, 6(3), pp.218-237, 2014.

Year : 2014

A new hybrid expert system for accurate detection of Parkinson’s disease

Cite this Research Publication : M. Hariharan, Kemal Polat and R. Sindhu, “A new hybrid expert system for accurate detection of Parkinson’s disease”, Computer Methods and Programs in Biomedicine (Elsevier), 113(3), pp. 904-913, 2014.[Q2,IF:1.093(2013), Best Papers of the Year 2014]

Year : 2014

A Novel Clinical Decision Support System using Improved Adaptive Genetic Algorithm for the Assessment of Fetal Well-being

Cite this Research Publication : R. Sindhu, Asral Bahari Jambek, M. Hariharan and Neoh Siew-Chin, "A Novel Clinical Decision Support System using Improved Adaptive Genetic Algorithm for the Assessment of Fetal Well-being", Computational and Mathematical Methods in Medicine, 2015. [Q2,IF:0.766(2014)]

Year : 2013

Classification of mental tasks using Stockwell transform

Cite this Research Publication : M. Hariharan, Vikneswaran Vijean, R. Sindhu, P. Divakar, A. Saidatul and Sazali Yaacob, “Classification of mental tasks using Stockwell transform”, Computers and Electrical Engineering (Elsevier), 40(5), pp. 1741–1749, 2014.[Q1,IF:0.992(2013)].

Publisher : Elsevier

Year : 2012

Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy

Cite this Research Publication : M. Hariharan, C.Y. Fook, R. Sindhu, Abdul Hamid Adom and Sazali Yaacob, “Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy”, Digital Signal Processing (Elsevier),23 (3) , pp. 952-959, 2013.[Q1,IF:1.918(2012)

Publisher : elsevier

Year : 2011

Normal and hypo-acoustic infant cry signal classification using time-frequency analysis

Cite this Research Publication : M. Hariharan, R. Sindhu and Sazali Yaacob, “Normal and hypo-acoustic infant cry signal classification using time-frequency analysis”, Computer Methods and Programs in Biomedicine (Elsevier), 108(2), pp. 559-569,2012.[Q2,IF:1.516(2011)]

Publisher : Elsevier

Year : 2011

Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks

Cite this Research Publication : M. Hariharan, J. Saraswathy, R. Sindhu, Wan Khairunizam and Sazali Yaacob, “Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks”, Expert Systems with Applications(Elsevier), 39(10), pp.9515-9523, 2012. [Q1,IF:2.203(2011)]

Publisher : Elsevier

Year : 2011

A comparative study of wavelet families for classification of wrist motions

Cite this Research Publication : M. Hariharan, C.Y. Fook, R. Sindhu, Bukhar iIlias and Sazali Yaacob, “A comparative study of wavelet families for classification of wrist motions”, Computers and Electrical Engineering (Elsevier), 38(6), pp. 1798-1807, 2012.[Q2,IF:0.837(2011)]

Publisher : Elsevier

Conference Paper

Year : 2012

Optimal Selection of Long Time Acoustic Features Using GA for the Assessment of Vocal Fold Disorders

Cite this Research Publication : S. Ravindran et al., "Optimal Selection of Long Time Acoustic Features Using GA for the Assessment of Vocal Fold Disorders", Applied Mechanics and Materials, Vols. 239-240, pp. 65-70, 2013. 2012. International Conference on Measurement, Instrumentation and Automation ICMIA 2012, Guangzhou, China. September 15-16.

Education
  • 2021 : Ph.D, Computer Science Engineering  Universiti Malaysia Perlis (UniMAP), Malaysia
  • 2015 : M.E, Microelectronic  Engineering
    Universiti Malaysia Perlis (UniMAP), Malaysia
  • 2009 : B.Tech, Information Technology
    Adhiyamaan College of Engineering, Hosur
Keynote Addresses/Invited Talks/Panel Memberships/ Workshop Organized

Workshop/Seminar Organized

S.No Type of Programme organized (Workshop/ FDP/ Seminar ) Title of the Programme Duration Date
Seminar A Webinar on Real-time Product-based opportunities in NEW NORMAL One day 19/05/2020
Seminar Application of Artificial Intelligence to Biosignal Analysis One day 11/07/2020
Seminar Machine Learning approach for experimental biological data analysis: the case of lab-on-chip applications One day 28/07/2020
Seminar Internet of Things and How to extract data from IoT Devices One day 16/09/2020

Workshop/Seminar Attended

S.No Type of Programme (Workshop/ FDP/ Seminar) Title of the Programme Duration Date
1. FDP Artificial intelligence and Machine Learning Techniques 1 week 04/12/2019 to 08/12/2019
Courses Taught
  1. Programming using JAVA
  2. CyberForensic and Investigation
  3. Data Structures
  4. Computer Organization and Architecture
  5. Programming using Problem Solving
  6. Bigdata Analytics
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