Dr. S. Pravin Kumar

Associate Professor

bme_pkDr. S. PravinKumar  B.E., M.Tech., Ph.D.,

Email:  pravinkumars@ssn.edu.in

Extn: 487

 

Pravin Kumar, PhD currently serves as Associate Professor in the Department of Biomedical Engineering, SSN College of Engineering. His present research focuses on analysing and modelling the vocal production mechanisms.

Dr. S. Pravin Kumar worked as post-doctoral researcher (2016-2018) at the Department of Biophysics (Jan Švec group), Palacký University Olomouc, Czech Republic. He developed methods to automatically quantify the mucosal wave dynamics of the vocal fold vibrations from the clinically obtained high speed videokymographic images. He also implemented physically-based computer graphics model to create synthetic kymograms simulating the high speed videokymographic imaging of the vocal fold vibrations.

His research contributions in the field of clinical voice care was recognised by two awards of excellence: the 2018 Sataloff Young Investigator Award, co-sponsored by Elsevier and The Voice Foundation and the 2018 Handan International Award endowed by Dr. Abdul-latifHamdan, Professor of Otolaryngology, Head and Neck Surgery at the American University of Beirut. He became the first participant in the history of the Voice Foundation Awards who received both the honours in a single year. He was also awarded with Best Teacher Awards several times from SSN Institutions.

Dr. S. PravinKumar received his B.E. and M. Tech in Electronics and Instrumentation,and Biomedical Engineering. He obtained his Ph.D. from Jawaharlal Nehru Technological University, Hyderabad.

During his Ph.D, he developed automated epileptic detection techniques in EEG using entropy features and artificial neural network (ANN) methods. In addition to EEG analysis, he developed reconstruction algorithm for brain Electrical Impedance Tomography (EIT) images, in which he  applied finite element meshes based mathematical models and Particle Swarm Optimization (PSO) in solving the EIT inverse problem to localize the neuronal abnormalities.

Dr. S. Pravin Kumar is interested in building innovative models, algorithms, prototypes, and transforming it into useful features for affordable medical devices satisfying quality assurance and compliance norms. His research expertise includes medical signal processing, image processing and machine learning in the areas of:  neurological signals (automatic epilepsy detection and cognitive load analysis), wearable vital signs monitoring and event detection, vocal fold vibration analysis and computationalmodelling.

Research:

Dr. S. Pravin Kumar is a recognized supervisor of Anna University. He is presently applying advanced signal and image processing methods to improvise the diagnostic potential of laryngeal high-speed videokymography (VKG) for voice disorders. He also employs computational methods to improve the models of vocal fold vibrations. This includes mathematical modeling, simulated high-speed scan line images, and computer-assisted vibration analysis.

Selected Publications:

  • Pravin Kumar, J. G. Svec, A simple method to obtain basic acoustic measures as video subtitles in laryngeal videoendoscopic recordings, Journal of Speech, Language, and Hearing Research (2018), 61, 2179-2195.
  • Pravin Kumar, K. V. Phadke, J. Vydrová, A. Novozámský, A. Zita, B. Zitová, J. G. Švec, Visual and automatic evaluation of vocal fold mucosal waves through sharpness of lateral peaks in high-speed videokymographicimages, Journal of Voice (2018),S0892-1997(18)30144-9. doi: 10.1016/j.jvoice.2018.08.022.
  • Pravin Kumar, J. G. Švec, Kinematic model for simulating mucosal wave phenomena on vocal folds, Biomedical Signal Processing and Control (2018), https://doi.org/10.1016/j.bspc.2018.12.002.
  • Pravin Kumar, N. Sriraam, P. G..Benakop,B. C. Jinaga, ‘Entropies Based Detection of Epileptic Seizures with Artificial Neural Network Classifiers’, Expert systems with applications, Elsevier, USA, pp. 3284-3291, vol. 1, no. 37, Jan 2010.

 

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