DR. Yogesh C.K

Yogesh C.K is working as Assistant Professor in the Department of Computer Science & Engineering at SSMIET form the first week of October 2017. He has 1 year of teaching experience and 4 years of research experience. His research is mainly focused on Machine learning algorithms, Optimization algorithms, Speech Recognition, Emotion and Stress Recognition from Speech, Feature Extraction and Pre-processing.

Contact: yyogesh61@gmail.com

  • Doctor of Philosophy in Computer Engineering, Universiti Malaysia Perlis (UniMAP), Malaysia, 2017.
  • M.E in Computer Science Engineering, College of Engineering Guindy (CEG), Chennai, 2012
  • B.E in Computer Science Engineering, ACCET, Karaikudi, 2010.

Dr.Yogesh C.K has published four International Journals and two International conferences.

International Journals:

  1. Yogesh C.K, Hariharan, M., Ngadiran, R., Adom, A. H., Yaacob, S., Berkai, C., & Polat, K. (2017). A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal. Expert Systems with Applications, 69, 149-158. (Impact Factor = 3.92) 
  1. Yogesh C.K, Hariharan, M., Yuvaraj, R., Polat, K., Ngadiran, R., Adom A. H., & Yaacob, S. (2017). Bispectral Features and Mean Shift Clustering for Stress and Emotion Recognition from Natural Speech. Computers and Electrical Engineering. (Impact Factor = 1.57)
  1. Yogesh C.K, Hariharan, M., Ngadiran, R., Adom, A. H., Yaacob, S., & Polat, K. (2017). Hybrid BBO_PSO and Higher Order Spectral features for Emotion and Stress Recognition from Natural Speech. Applied Soft Computing. (Impact Factor = 3.54)
  1. Chawki Berkai, Hariharan M, Yogesh C K, Sazali Yaacob, Mohd Iqbal Omar. (2017). Hybrid PSOGSA Algorithm and Nonlinear Features for Prediction Body Mass Index (BMI) From Speech Signals. Journal of Medical Imaging and Health Informatics. 7, 1–11. (Impact Factor = 0.87)

International Conferences:

  1. Paulraj, M. P., Yaccob, S. B., & Yogesh, C. K. (2015). Fractal feature based detection of muscular and ocular artifacts in EEG signals. In IECBES 2014, IEEE Conference on Biomedical Engineering and Sciences: “Miri, Where Engineering in Medicine and Biology and Humanity Meet” (pp. 916-921).
  1. Sarillee, M., Hariharan, M., Anas, M. N., Omar, M. I., Aishah, M. N., Yogesh, C. K., & Oung, Q. W. (2015). Classification of muscle fatigue condition using multi-sensors. In Proceedings – 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015 (pp. 200-205).

Gold Medal at ITEX’ May 2015 An Intelligent Robot chair with communication aid for Neuro muscular disorder patients.

Yogesh C.K is having 1 year of teaching and 4 years of research experience.

Teaching Experience:

Assistant Professor – University College of Engineering Dindigul Campus, Department of Computer Science and Engineering (July 2012 – June 2013).

Research Experience:

  • Research Scholar – Universiti Malaysia Perlis, School of Computer and Communication Engineering (Full Time) (July 2013 – June 2017).

Research and Development 

Co- researcher in Malaysian Grant Proposals

FRGS 2014 – Fundamental Analysis of Intensive Behavioral Response to Rehabilitate Autism Through Brain Signals (RM 88,000)