Publications

You can also find my articles on my Google Scholar profile.

  • R. V. Sharan and H. Xiong, "Wet and dry cough classification using cough sound characteristics and machine learning: A systematic review ", International Journal of Medical Informatics, vol. 199, pp. 105912, 2025. DOI PDF
  • S. S. Emani, R. Sharan, D. Buitrago, A. Majid, J. Wilson, and S. Gangadharan, "A cough sound-based machine learning model for diagnosis of tracheobronchomalacia", Presented at The 61st Annual Meeting of the Society of Thoracic Surgeons, Los Angeles, CA, USA, 24–26 Jan, 2025. PDF
  • R. V. Sharan and B. W. Schuller, "Snore sound classification with Mel-spectrogram and a fine-tuned CNN", Proceedings of the 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Penang, Malaysia, 11-13 Dec, 2024, pp. 1-4. DOI PDF
  • R. V. Sharan, "Predicting the onset of freezing of gait episodes in patients with Parkinson's disease using EEG", Proceedings of the 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Penang, Malaysia, 11-13 Dec, 2024, pp. 1-4. DOI PDF
  • R. V. Sharan, H. Takeuchi, A. Kishi, and Y Yamamoto, "Macro-sleep staging with ECG-derived instantaneous heart rate and respiration signals and multi-input 1-D CNN–BiGRU", IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-12, 2024. DOI PDF
  • R. V. Sharan, C. Mascolo, and B. W. Schuller, "Emotion recognition from speech signals by Mel-spectrogram and a CNN-RNN", Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, 15-19 Jul, 2024, pp. 1-4. DOI PDF
  • R. V. Sharan and H. Xiong, "Evaluation of cough sound segmentation algorithms in the presence of background noise", Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, 15-19 Jul, 2024, pp. 1-4. DOI PDF
  • R. V. Sharan, K. Qian, and Y. Yamamoto, "Automated cough sound analysis for detecting childhood pneumonia", IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 1, pp. 193-203, 2024. DOI PDF
  • R. V. Sharan, "Speech emotion recognition using gammatone cepstral coefficients and deep learning features", Proceedings of the IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT), San Salvador, El Salvador, 14-15 Dec, 2023, pp. 1-4. DOI PDF
  • L. Jose, S. Berkovsky, H. Xiong, C. Mascolo, and R. V. Sharan, "Denoising cough sound recordings using neural networks", Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney, Australia, 24-27 Jul, 2023, pp. 1-4. DOI PDF
  • R. V. Sharan, K. Qian, and Y. Yamamoto, "Detecting childhood pneumonia using handcrafted and deep learning cough sound features and multilayer perceptron", Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney, Australia, 24-27 Jul, 2023, pp. 1-4. DOI PDF
  • R. V. Sharan and H. Rahimi-Ardabili, "Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review", International Journal of Medical Informatics, vol. 176, pp. 105093, 2023. DOI PDF
  • R. V. Sharan, "Cough sound detection from raw waveform using SincNet and bidirectional GRU", Biomedical Signal Processing and Control, vol. 82, pp. 104580, 2023. DOI PDF
  • R. V. Sharan, "Productive and non-productive cough classification using biologically inspired techniques", IEEE Access, vol. 10, pp. 133958-133968, 2022. DOI PDF (Open Access)
  • H. Xiong, S. Berkovsky, M. A. Kâafar, A. Jaffe, E. Coiera, and R. V. Sharan, "Reliability of crowdsourced data and patient-reported outcome measures in cough-based COVID-19 screening", Scientific Reports, vol. 12, pp. 21990, 2022. DOI PDF (Open Access)
  • R. V. Sharan, H. Xiong, and S. Berkovsky, "Detecting cough recordings in crowdsourced data using CNN-RNN", Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Ioannina, Greece, 27-30 Sep, 2022, pp. 1-4. DOI PDF
  • E. Coiera, K. Yin, R. V. Sharan, S. Akbar, S. Vedantam, H. Xiong, J. Waldie, and A. Lau, "Family informatics", Journal of the American Medical Informatics Association, vol. 29, no. 7, pp. 102261, 2022. DOI PDF (Open Access)
  • H. Xiong, S. Liu, R. V. Sharan, E. Coiera, and S. Berkovsky, "Weak label based Bayesian U-Net for optic disc segmentation in fundus images", Artificial Intelligence in Medicine, vol. 126, pp. 102261, 2022. DOI
  • H. Xiong, S. Berkovsky, M. Romano, R. V. Sharan, S. Liu, E. Coiera, and L. F. McLellan, "Prediction of anxiety disorders using a feature ensemble based Bayesian neural network", Journal of Biomedical Informatics, vol. 123, pp. 103921, 2021. DOI PDF (Open Access)
  • R. V. Sharan, "ECG-derived respiration for sleep-wake stage classification", Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu, Malaysia, 13-15 Sep, 2021, pp. 1-4. DOI PDF
  • R. V. Sharan, S. Berkovsky, H. Xiong, and E. Coiera, "End-to-end sleep apnea detection using single-lead ECG signal and 1-D residual neural networks", Journal of Medical and Biological Engineering, vol. 41, pp. 758-766, 2021. DOI PDF
  • R. V. Sharan, S. Berkovsky, D. F. Navarro, H. Xiong, and A. Jaffe, "Detecting pertussis in the pediatric population using respiratory sound events and CNN", Biomedical Signal Processing and Control, vol. 68, pp. 102722, 2021. DOI PDF
  • R. V. Sharan, S. Berkovsky, and H. Xiong, "Benchmarking audio signal representation techniques for classification using convolutional neural networks", Sensors, vol. 21, no. 10, pp. 3434, 2021. DOI PDF
  • R. V. Sharan, "Spoken digit recognition using wavelet scalogram and convolutional neural networks", Proceedings of the IEEE Recent Advances in Intelligent Computational Systems (RAICS2020), Thiruvananthapuram, India, 3-5 Dec, 2020, pp. 101-105. DOI PDF
  • R. V. Sharan, "Detecting cardiac abnormalities using 12-lead ECG and deep learning", Proceedings of the IEEE Recent Advances in Intelligent Computational Systems (RAICS2020), Thiruvananthapuram, India, 3-5 Dec, 2020, pp. 106-109. DOI PDF
  • R. V. Sharan, S. Berkovsky, R. Taib, I. Koprinska, and J. Li, "Detecting personality traits using inter-hemispheric asynchrony of the brainwaves", Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Canada, 20-24 Jul, 2020, pp. 62-65. DOI PDF
  • R. V. Sharan and S. Berkovsky, "Epileptic seizure detection using multi-channel EEG wavelet power spectra and 1-D convolutional neural networks", Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Canada, 20-24 Jul, 2020, pp. 545-548. DOI PDF
  • R. V. Sharan, S. Berkovsky, H. Xiong, and E. Coiera, "ECG-derived heart rate variability interpolation and 1-D convolutional neural networks for detecting sleep apnea", Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Canada, 20-24 Jul, 2020, pp. 637-640. DOI PDF
  • R. V. Sharan, S. Berkovsky, and S. Liu, "Voice command recognition using biologically inspired time-frequency representation and convolutional neural networks", Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Canada, 20-24 Jul, 2020, pp. 998-1001. DOI PDF
  • H. Xiong, S. Berkovsky, R. V. Sharan, S. Liu, and E. Coiera, "Robust vision-based workout analysis using diversified deep latent variable model", Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Canada, 20-24 Jul, 2020, pp. 2155-2158. DOI
  • V. R. Swarnkar, U. R. Abeyratne, B. Duce, R. V. Sharan, C. Hukins, and K. McCloy, "Night-time brain inter-hemispheric asynchrony in sleep apnea patients carry information on neuropsychological impairment", Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS), Nara, Japan, 17-19 Oct, 2019, pp. 1-4. DOI
  • M. Markandeya, U. R. Abeyratne, R. V. Sharan, and C. Hukins, "Severity analysis of upper airway obstructions: Oesophageal pressure versus snoring sounds", Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS), Nara, Japan, 17-19 Oct, 2019, pp. 1-4. DOI
  • K. McCloy, R. V. Sharan, U. R. Abeyratne, B. Duce, C. Hukins, and V. R. Swarnkar, "Using polysomnographic data to investigate symptom clusters associated with cognitive decline in patients with obstructive sleep apnea", Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS), Nara, Japan, 17-19 Oct, 2019, pp. 1-4. DOI
  • R. V. Sharan and T. J. Moir, "Time-frequency image resizing using interpolation for acoustic event recognition with convolutional neural networks", Proceedings of the 3rd IEEE International Conference on Signals and Systems (ICSigSys), Bandung, Indonesia, 16-18 Jul, 2019, pp. 8-11. DOI PDF
  • P. Porter, U. Abeyratne, V. Swarnkar, J. Tan, T. Ng, J. M. Brisbane, D. Speldewinde, J. Choveaux, R. Sharan, K. Kosasih, and P. Della, "A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centred analytic system for the identification of common respiratory disorders in children", Respiratory Research, vol. 20, no. 1, pp. 81, 2019. DOI PDF
  • P. P. Moschovis, E. M. Sampayo, P. Porter, U. Abeyratne, G. Doros, V. Swarnkar, R. Sharan, and J. C. Carl, "A cough analysis smartphone application for diagnosis of acute respiratory illnesses in children", Presented at the American Thoracic Society International Conference, Dallas, Texas, 17-22 May, 2019, p. A1181. DOI PDF URL
  • R. V. Sharan and T. J. Moir, "Acoustic event recognition using cochleagram image and convolutional neural networks", Applied Acoustics, vol. 148, pp. 62-66, 2019. DOI PDF
  • R. V. Sharan, U. R. Abeyratne, V. R. Swarnkar, and P. Porter, "Automatic croup diagnosis using cough sound recognition", IEEE Transactions on Biomedical Engineering, vol. 66, no. 2, pp. 485-495, 2019. DOI PDF
  • R. V. Sharan and T. J. Moir, "Pseudo-color cochleagram image feature and sequential feature selection for robust acoustic event recognition", Applied Acoustics, vol. 140, pp. 198-204, 2018. DOI PDF
  • R. V. Sharan, U. R. Abeyratne, V. R. Swarnkar, S. Claxton, C. Hukins, and P. Porter, "Predicting spirometry readings using cough sound features and regression", Physiological Measurement, vol. 39, no. 9, pp. 095001, 2018. DOI PDF
  • R. V. Sharan, U. R. Abeyratne, V. R. Swarnkar, and P. Porter, "Cough sound analysis for diagnosing croup in pediatric patients using biologically inspired features", Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, 11-15 Jul, 2017, pp. 4578-4581. DOI PDF
  • V. R. Swarnkar, U. R. Abeyratne, and R. V. Sharan, "Automatic picking of snore events from overnight breath sound recordings", Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, 11-15 Jul, 2017, pp. 2822-2825. DOI
  • R. V. Sharan and T. J. Moir, "Robust acoustic event classification using deep neural networks", Information Sciences, vol. 396, pp. 24-32, 2017. DOI PDF
  • R. V. Sharan and T. J. Moir, "An overview of applications and advancements in automatic sound recognition", Neurocomputing, vol. 200, pp. 22-34, 2016. DOI PDF
  • R. V. Sharan and T. J. Moir, "Subband time-frequency image texture features for robust audio surveillance", IEEE Transactions on Information Forensics and Security, vol. 10, no. 12, pp. 2605-2615, 2015. DOI PDF
  • R. V. Sharan and T. J. Moir, "Subband spectral histogram feature for improved sound recognition in low SNR conditions", Proceedings of the IEEE International Conference on Digital Signal Processing (DSP), Singapore, 21-24 Jul, 2015, pp. 432-435. DOI PDF
  • R. V. Sharan and T. J. Moir, "Cochleagram image feature for improved robustness in sound recognition", Proceedings of the IEEE International Conference on Digital Signal Processing (DSP), Singapore, 21-24 Jul, 2015, pp. 441-444. DOI PDF
  • R. V. Sharan and T. J. Moir, "Noise robust audio surveillance using reduced spectrogram image feature and one-against-all SVM", Neurocomputing, vol. 158, pp. 90-99, 2015. DOI PDF
  • R. V. Sharan and T. J. Moir, "Robust audio surveillance using spectrogram image texture feature", Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, 19-24 Apr, 2015, pp. 1956-1960. DOI PDF
  • R. V. Sharan and T. J. Moir, "Comparison of multiclass SVM classification techniques in an audio surveillance application under mismatched conditions", Proceedings of the International Conference on Digital Signal Processing (DSP), Hong Kong, 20-23 Aug, 2014, pp. 83-88. DOI PDF
  • R. V. Sharan and T. J. Moir, "Audio surveillance under noisy conditions using time-frequency image feature", Proceedings of the International Conference on Digital Signal Processing (DSP), Hong Kong, 20-23 Aug, 2014, pp. 130-135. DOI PDF
  • R. V. Sharan and G. C. Onwubolu, "Automating the process of work-piece recognition and location for a pick-and-place robot in a SFMS", International Journal of Image, Graphics and Signal Processing, vol. 6, no. 4, pp. 9-17, 2014. DOI PDF
  • R. V. Sharan, "Development of a remote automatic weather station with a PC-based data logger", International Journal of Hybrid Information Technology, vol. 7, no. 1, pp. 233-240, 2014. DOI PDF
  • R. V. Sharan and G. C. Onwubolu, "Simulating the arm movements of a stepper motor controlled pick-and-place robot using the stepper motor model", International Journal of Advanced Science and Technology, vol. 60, pp. 59-66, 2013. DOI PDF
  • K. R. Ram, R. V. Sharan, and M. R. Ahmed, "A regional university perspective on engineering education of multi-cultural freshman students from south pacific countries", Proceedings of the ASME 2013 International Mechanical Engineering Congress and Exposition (IMECE2013), San Diego, California, 15-21 Nov, 2013, pp. 1-6. DOI
  • R. V. Sharan and G. C. Onwubolu, "A low-cost force measurement solution applicable for robotic grippers", Proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE), Bridgeport, Connecticut, 7-9 Dec, 2012, pp. 95-98. DOI PDF
  • R. V. Sharan and G. C. Onwubolu, "Comparison of manual and image processing methods of end-milling burr measurement", Proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE), Bridgeport, Connecticut, 7-9 Dec, 2012, pp. 133-137. DOI PDF
  • R. V. Sharan and G. C. Onwubolu, "Client-server control architecture for a vision-based pick-and-place robot", Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 226, no. 8, pp. 1369-1378, 2012. DOI
  • R. V. Sharan and G. C. Onwubolu, "Measurement of end-milling burr using image processing techniques", Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 225, no. 3, pp. 448-452, 2011. DOI
  • R. V. Sharan and G. C. Onwubolu, "A simple speed feedback system for low speed DC motor control in robotic applications", Proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE), Bridgeport, Connecticut, 4-14 Dec, 2006, pp. 397-399. DOI PDF
  • R. V. Sharan and G. C. Onwubolu, "Development of a vision-based pick-and-place robot", Proceedings of the 3rd International Conference on Autonomous Robots and Agents (ICARA), Palmerston North, New Zealand, 12-14 Dec, 2006, pp. 473-478. PDF