Dr. S. Pravin Kumar has over two decades of experience in Biomedical Engineering, spanning academic teaching, funded research, and industry consultancy. He earned his Ph.D. in Electronics and Communication Engineering at Jawaharlal Nehru Technological University, Hyderabad, with thesis on artificial neural networks (ANN) based epilepsy detection techniques. He has also held a Research Scientist position and Post Doctoral Fellowship at Palacký University, Olomouc, Czech Republic where his research focussed on vocal fold biomechanics and voice-disorder diagnostics. His research spans biomechanics, vocal fold vibration modeling, computer vision, 3D modeling and visualization, augmented and virtual reality, and deep learning applications in healthcare. His contributions have been recognized with the 2020 Elsevier-Journal of Voice Best Paper Award, the Hamdan International Award, and the Elsevier–Sataloff Young Investigator Award from the Voice Foundation, USA, in addition to several SSN Best Teacher Awards.

Work Experience: 

• Jul 2026 – till date, Associate Professor (Grade II), Department of BME, School of Engineering, Shiv Nadar University, Chennai
• 2018 – 2026, Associate Professor (Grade II), Department of BME, SSN College of Engineering
• Jun 2025 – Jul 2025, HCLTech Industrial Fellowship, ERS, HCL Tech, Chennai, India
• 2016 – 2018, Research Scientist, Palacký University, Olomouc, Czech Republic, Europe
• 2011 – 2016, Associate Professor (Grade I), Department of BME, SSN College of Engineering
• 2006 – 2011, Assistant Professor, Department of BME, SSN College of Engineering
• 2005 – 2006, Lecturer, Department of BME, Aurora’s College of Engineering, Hyderabad, India
• 2003 – 2005, Lecturer, Department of BME, Sahrdaya College of Engineering & Technology, Thrissur, India

Projects

Ongoing

• SPARC – Co-Principal Investigator | June 2026 – Present | ” Enhancing Ankle Stability in Early-Stage Parkinson’s Disease through Targeted Muscle Co-Activation Reduction Training Strategies, ” Grant Amount: 1.05 Crore INR
• SNF IIC Grants – Principal Investigator | Feb 2024 – Present | ” VR Buddy”, Grant Amount: ₹49 Lakhs INR
• ANRF-CRG – Principal Investigator | Oct 2023 – Present | “A personalized visual guidance system for musculoskeletal therapeutic interventions”, Grant Amount: 27.81 Lakhs INR
• SSN IFFP | Principal Investigator | Dec 2024 – Dec 2026 | ” Investigation of depth perception in AR-View using HMDs”, Grant Amount: ₹3 Lakhs INR

Completed

• ICAR NASF – Co-Principal Investigator | May 2023 – Dec 2025 | ” Artificial Intelligence and loT based Smart Vet Ecosystem for Animal Health, Patient Care and Precision   Livestock Farming”, Grant Amount: ₹2,15,00,000 INR
• BT-AGC – Institutional Principal Investigator | Nov 2023 – Nov 2025 | ” Extended Reality based Medical Equipment Simulation”, Grant Amount: ₹10,18,000 INR, Responsibilities: Develop an XR environment for simulation of medical equipment
• MoES- PAMC – DOM- Co-Principal Investigator | Mar 2023 – March 2026 | ” Human Reliability Assessment and in-situ health monitoring for manned submersible crew”, Grant Amount: ₹46,36,272 INR
• SERB – POWER – Co- Principal Investigator | Jun 2021 – June 2024 | ” Augmented Reality based Surgical Support System”, Grant Amount: ₹25,93,932 INR
• DST – BDTD – Co- Principal Investigator | Mar 2021 – Mar 2023 | “Design and development of 16 channel functional Near Infrared (fNIR) Spectroscopy system for measuring hemodynamics in Brain: Prefrontal Cortex”, Grant Amount: ₹25,33,000 INR
• SSN/IFPP – Principal Investigator | Mar 2019 – Mar 2022 | “Automatic measurement of vocal fold vibratory parameters”, Grant Amount: ₹6,50,000 INR
• SSN/IFPP – Principal Investigator | Sep 2015 – Sep 2017 | ” Cardiac Monitoring System”, Grant Amount: ₹4,00,000 INR

 Consultancy Projects:

• MACHENN INNOVATIONS PRIVATE LTD, Coimbatore, India | Nov 2023 – Nov 2025 | “Extended Reality Based Medical Equipment Simulation”. Grant Amount: ₹3,00,000 INR
• National Instruments (NI) Systems India Pvt Ltd, Bangalore, India | Jun 2010 – Aug 2010 | “LabView Medical Image Processing Workbench”, Grant Amount: ₹40,000 INR
• National Instruments (NI) Systems India Pvt Ltd, Bangalore, India | Dec 2009 – Apr 2010, “LabView Bio Signal Processing Workbench”, Grant Amount: ₹50,000 INR

Publications

Journal: 41, Conference : 73, Books & Book Chapters: 8, Patents – 2

Journal Publications (Selected)

1. Divya, B., Kavitha, A., Pravin Kumar, S., Vignesh Baskaran, Arul Kumaran P., Yogendra Manawat, Kunal Bhatia, Samuel Verboomen, & Sivasakthi, B. (2026). Comparison of explainable deep learning methods for schizophrenia detection. IEEE Access.
2. Venkata Murali SR, Boominathan P, Somu L, S Pravin Kumar. An Analysis of Vocal Fold Kinematics Across Anterior, Middle, and Posterior Regions of Bilateral Vocal Fold Nodules Using Videostrobokymography. Journal of Voice, Elsevier, In press. 2026 Jan 22.
3. Jan G Švec, S Pravin Kumar, Ondřej Vencálek, Sandhanakrishnan Ravichandran, Sarah Lehoux, “Vocal Fold Kinematics and Convergent–Divergent Oscillatory Glottis: Basic Insights Using Mucosal Wave Modeling and Synthetic Kymograms”, Journal of Speech, Language, and Hearing Research, 68 (4), 1602-1617.
4. B. Panchami, S. Pravin Kumar, “Comparison of Deep Learning Models for Voice Disorder Classification Using Kymographic Images”, Journal of Voice, Elsevier, 2025, ISSN 0892-1997,
5. Sri Ranjani Venkata Murali, Prakash Boominathan, S. Pravin Kumar, Somu L, “Videostrobokymographic Analysis of Stroboscopic Footage with Unsteady Laryngeal Positions From Phononormals”, Journal of Voice, Elsevier, 2025, ISSN 0892-1997,
6. Sudhir G, Kavitha Anadan, S. Pravin Kumar, “Enhancing Visualization of Surgical Tool Through Integrated Motion Tracking System”, Journal of Korean Spine Surgery, 2024-07,
7. Chandana, H., Archana T.C, S. Pravin Kumar, Srijith K. “In-vivo studies on PDMS-embedded Fiber Bragg grating based smart laparoscopic grasper.” Smart Materials and Structures, 33, no. 2 (2024): 025007.
8. B. Panchami, S. Pravin Kumar, Ketaki Vasant Phadke, “Visualization and Analysis of Vocal Fold Dynamics in Various Voice Disorders”, Journal of Voice, Elsevier, 2024, ISSN 0892-1997,
9. S Pravin Kumar, S Saranya, Kavitha Anandan and Deepa Sri R,” Computer Vision Guided Shoulder Joint Range of Motion Estimation for Rehabilitative Assessment”, Journal of Mechanics in Medicine and Biology, 2024, pp.11-13.
10. S Pravin Kumar, S Saranya, Kavitha Anandan and Deepa Sri R, ” Motion Sensor and Computer Vision Based Shoulder Joint Range of Motion Estimation for Rehabilitative Assessment” Journal of Mechanics in Medicine and Biology, 2025, 26(05), 2540083.
11. S. Pravin Kumar, Nanthini Narayanan, Janaki Ramachandran, Bhavadharani Thangavel, “Convolutional neural network for voice disorders classification using kymograms”, Biomedical Signal Processing and Control, Elsevier, Volume 86, Part A, 2023, 105159, ISSN 1746-8094.
12. S. Pravin Kumar, Anandan, K., Balathay, D., Vishnu Kumar, S., Bhattacharjee, B., & Ravichandran, S. (2023). A survey on connected healthcare beyond COVID in India: clinical perspectives. Journal of Medical Engineering & Technology, 47(2), 85–93.
13. Philipp Aichinger, S. Pravin Kumar, Hugo Lehoux, Jan G Svec, “Simulated laryngeal high-speed videos for the study of normal and dysphonic vocal fold vibration”, Journal of Speech, Language, and Hearing Research, 65.7 (2022): 2431-2445.
14. S. Pravin Kumar, Anandan, K., Balathay, D., Vishnu Kumar, S., Bhattacharjee, B., & Ravichandran, S. “A survey on connected healthcare beyond COVID in India: clinical perspectives.” Journal of Medical Engineering & Technology, Taylor & Francis (2022)
15. s. Pravin Kumar, Harsha B, “A Review of Wound Dressing Materials and its Fabrication Methods: Emphasis on Three-Dimensional Printed Dressings”, Journal of Medical Engineering & Technology, Taylor & Francis (2022): 46(4):318-334
16. Bulusu, S, S. Pravin Kumar, J. G. Švec, and Philipp Aichinger. “Fitting synthetic to clinical kymographic images for deriving kinematic vocal fold parameters: Application to left-right vibratory phase differences.” Biomedical Signal Processing and Control, Elsevier, 63 (2021): 102253.
17. S. Pravin Kumar, Ketaki Phadke, Jitka Vydrová, Adam Novozámský, Aleš Zita, Barbara Zitová, and Jan G. Švec. “Visual and automatic evaluation of vocal fold mucosal waves through sharpness of lateral peaks in high-speed videokymographic images.” Journal of Voice, Elsevier, 34, no. 2 (2020): 170-178, 2020 JOV Best Paper Award.
18. Praneeth, C. N., Abel, J. D. K., Samiappan, D., Kumar, R., S. Pravin Kumar, & Nitin, P. V. (2020). “A Comparison on Variants of LMS used in FIR Adaptive Noise Cancellers for Fetal ECG Extraction”. Biomedical Engineering: Applications, Basis and Communications, 32(04), 2050026.
19. S. Pravin Kumar, Jan G. Švec. “Kinematic model for simulating mucosal wave phenomena on vocal folds.” Biomedical Signal Processing and Control, Elsevier, 49 (2019): 328-337.
20. S. Pravin Kumar, Jan G Švec, “A Simple Method to Obtain Basic Acoustic Measures From Video Recordings as Subtitles”. Journal of Speech, Language, and Hearing Research, 61(9), 2196-2204 (2018).
21. Guhan Seshadri N.P, Geethanjali B, S. Pravin Kumar, “Wavelet Based EEG Analysis of Induced Emotion on South Indians”, Australian Journal of Basic and Applied Science, 9(33), pp. 156-161, 2015.
22. Navathej Gobi, B. Arun Srinivas, B. Geethanjali, S. Pravin Kumar. “Computer-based communication aid using EEG for paralytic clients”, Asia Pacific Disability Rehabilitation Journal (Presently Disability, CBR Inclusive Development), Vol 25, No 2: pp.105-108, Summer 2014.
23. S. Pravin Kumar, A. Kavitha, Geethanjali Balasubramanian, & Mahesh Veezhinathan. “Analysis of cognitive load for bilingual subjects: Based on Lexile measures”. International Journal of Cognitive Informatics and Natural Intelligence 8.1, pp. 18–35, 2014.
24. S. Pravin Kumar, N. Sriraam, P.G. Benakop, B.C. Jinaga, “Effect of Sampling Entropy Parameters on EEG Classifiers”, International Journal of Biomedical Signal Processing, pp. 1-8, vol.1, no.1, Jan 2010.
25. S. Pravin Kumar, Sriraam, N., Benakop, P. G., & Jinaga, B. C. (2010). “Entropies based detection of epileptic seizures with artificial neural network classifiers.” Expert Systems with Applications, Elsevier, 1:37, pp. 3284–3291 (2010).

Conference Publications (Selected)

1. Videostrobokymography: A practical solution for objective glottal analysis in resource-limited settings (Asia Pacific Society of Speech Language and Hearing Conference 2025, Bangkok, Thailand)
2. Comparative Analysis of Marker Based and Marker Less Motion Capture Systems for Shoulder Joint Angle Prediction (2025 TENCON, Malaysia)
3. Computer Vision and Augmented Reality Guided Shoulder Rehabilitation (2025 IEEE EMBC, Denmark)
4. Computer Vision Guided Shoulder Joint Range of Motion Estimation (ICMMB’24, Bruxelles, Belgium)
5. Computer Vision Methods for Surgical Tool Tracking (2023 IEEE EMBC, Sydney, Australia).
6. Enhancing visualization of surgical tool through integrated motion tracking system, (2023 XR Salento, Lecce, Italy).
7. Optical Flow Glottovibrogram for the examination of vocal fold pathology (2023 IEEE EMBC, Sydney, Australia)
8. Influence of the vocal fold kinematic parameters on the kymographic waveform (2023 AQL, Arizona, USA)
9. Kinematic Mucosal Wave Model of the Vocal Folds for Simulating Kymographic Images (2021 AQL, Bogotá, Colombia
10. Neural Network-Based Estimation of Vocal Fold Kinematic Parameters from Digital Videokymograms, (2021 AQL, Bogotá, Colombia)
11. Artificial high-speed videos of normal and dysphonic vocal fold vibration (2021 MAVEBA, Florence, Italy)
12. Influence of vocal fold upper and lower margins on the kymographic parameters, (2021 Viennese research workshop on voice quality, Medizinische Universität Wien, Vienna, Austria)
13. Modelling of Vocal Folds and Systematic Investigation of their Vibrations from Kymogram, (2020 IEEE REGION 10 CONFERENCE (TENCON), Osaka, Japan)
14. Extracting Vocal Fold Kinematic Parameters from Videokymograms via Simulation of Clinically Observed Data, (MAVEBA 2019, Firenze, Italy).
15. Evaluation of Mucosal Waves Through Sharpness of Lateral Peaks in Videokymographic Images”, PEVOC 2019, Copenhagen, Denmark).
16. Evaluation of Sharpness of Lateral Peaks of the Vocal Fold Vibrations in High-Speed Videokymographic Images, (VF 2018 Philadelphia, USA)
17. Kinematic model for simulating mucosal wave phenomena on vocal folds. (MAVEBA 2017, Florence, Italy).
18. Quantifying kymograpic waveform with Bezier curves, (AQL 2017, Hong Kong).
19. Mucosal wave features and their appearance on the vocal folds: Updated findings and concepts (AQL 2017, Hong Kong).
20. Onset- Offset features in voice disorders observable in videokymography – pilot study, (PEVOC 2017, Ghent, Belgium).
21. A simple tool for displaying sound pressure levels of voice in laryngoscopic video recordings, (PEVOC 2017, Ghent, Belgium).

 Books & Book Chapters

1. Comparison of Inertial Measurement Unit with Motion Tracking System for human shoulder Range of motion – 2025 Lecture Notes in Networks and Systems. ISBN: 978-981-96-5754-4.
2. Enhancing wrist strength using Exergaming – 2025 Lecture Notes in Networks and Systems. ISBN: 978-981-96-5754-4.
3. Healthcare Revolution and Integration of Artificial Intelligence – 2023 Translating Healthcare Through Intelligent Computational Methods, Springer EAI. ISBN: 9783031276996
4. Pravin Kumar, Janaki Ramachandran, Nanthini Narayanan, Bhavadharani Thangavel, Automatic Detection of Epilepsy using CNN-GRU Hybrid Model, Biomedical Signals based Computer-Aided Diagnosis System, Springer Nature
5. Chetana Krishnan, Sasya Subramanyam Vishnuvazzla, S. Pravin Kumar, Measurement of Q factor from Two Dimensional Images of Osteoarthritic Knee Braces, Lecture Notes in Electrical Engineering (LNEE), Springer (ISSN: 1876-1100), Singapore, 2021.
6. S. Salivahanan, S. Pravin Kumar. Circuit theory, Vikas Publications, New Delhi, India, 2013.
7. S. Salivahanan, S. Pravin Kumar. Network analysis and synthesis, Vikas Publications, New Delhi, India, 2013.
8. S. Salivahanan, S. Pravin Kumar. Network analysis and synthesis (for UPTU), Vikas Publications, New Delhi, India, 2013.

Patents & Intellectual Property

• Granted – Prakash, S. S., Kumar, S. P. and Rajendiran, S, “Multi stance smartphone support for microscopes”. 6299/CHE/2015, Intellectual Property, Government of India.
• Published – A. Kavitha, S. Pravin Kumar,  G. Sudhir, “Augmented Reality, AI and Haptic Feedback – Based Support System for Spine Surgery”, 202541083196, Intellectual Property, Government of India.

Awards

• 2020 Best paper award, Journal of Voice, Elsevier, USA
• 2018 Hamdan International Award, Voice Foundation, USA
• 2018 Elsevier – Sataloff Young Investigator Award, Voice Foundation, USA
• Several times recipient of SSN Best Teacher Award
• Supervised the following industry relevant projects that won awards and recognitions in various categories:
  • Consolation prize winner for “Silent Speech Recognition System using sEMG” among 365 shortlisted entries in the Texas Instruments Innovation Challenge India Analog Design Contest 2014.
  • Schneider-Electric India’s “Innovation Challenge award 2012 – Smart Living” “Optimized Switch Control for Elderly and Disabled Patients Using EEG”, with a cash prize of INR 3,00,000/-.
  • Motorola Scholar Fund for the project “GPS based Blind Navigation System”, 2011- 2012
  • Best Expo Model Award for the Critical Care Station for Hospitals” at the National Congress on Bioscience Research 2011.
  • Best Prototype Award at Life Science Congress, BIOLIM Centre for Life Science, 2011.

Area of Research

• Biomechanics
• Vocal fold vibration modeling and analysis
• Computer Vision
• 3D modeling and visualizations
• Augmented Reality and Virtual Reality
• Deep Learning