Dr Roneel Sharan
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Email
roneel.sharan@essex.ac.uk -
Location
Colchester Campus
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Academic support hours
My academic support hours are 13:00 to 15:00 on Friday.
Profile
Qualifications
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PhD Auckland University of Technology, (2016)
Appointments
University of Essex
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Senior Lecturer, University of Essex (12/2023 - present)
Other academic
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Research Fellow, Macquarie University (8/2019 - 12/2023)
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Postdoctoral Research Fellow, University of Queensland (10/2016 - 8/2019)
Research and professional activities
Research interests
Biomedical Signal Processing
Audio Signal Processing
Machine Learning
Digital Health
Sound Event Recognition
Respiratory Diseases
Sleep Disorders
Teaching and supervision
Current teaching responsibilities
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Introduction to Digital Signal Processing (CE294)
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Individual Capstone Project Challenge (CE301)
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Team Project Challenge (CE201)
Publications
Journal articles (25)
Sharan, RV., Qian, K. and Yamamoto, Y., (2024). Automated cough sound analysis for detecting childhood pneumonia. IEEE Journal of Biomedical and Health Informatics. 28 (1), 193-203
Sharan, RV., (2023). Cough sound detection from raw waveform using SincNet and bidirectional GRU. Biomedical Signal Processing and Control. 82, 104580-104580
Sharan, RV. and Rahimi-Ardabili, H., (2023). Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review. International Journal of Medical Informatics. 176, 105093-105093
Xiong, H., Berkovsky, S., Kâafar, MA., Jaffe, A., Coiera, E. and Sharan, RV., (2022). Reliability of crowdsourced data and patient-reported outcome measures in cough-based COVID-19 screening. Scientific Reports. 12 (1), 21990-
Coiera, E., Yin, K., Sharan, RV., Akbar, S., Vedantam, S., Xiong, H., Waldie, J. and Lau, AYS., (2022). Family informatics. Journal of the American Medical Informatics Association. 29 (7), 1310-1315
Xiong, H., Liu, S., Sharan, RV., Coiera, E. and Berkovsky, S., (2022). Weak label based Bayesian U-Net for optic disc segmentation in fundus images. Artificial Intelligence in Medicine. 126, 102261-102261
Sharan, RV., (2022). Productive and non-productive cough classification using biologically inspired techniques. IEEE Access. 10, 133958-133968
Xiong, H., Berkovsky, S., Romano, M., Sharan, RV., Liu, S., Coiera, E. and McLellan, LF., (2021). Prediction of anxiety disorders using a feature ensemble based bayesian neural network. Journal of Biomedical Informatics. 123, 103921-103921
Sharan, RV., Berkovsky, S., Xiong, H. and Coiera, E., (2021). End-to-end sleep apnea detection using single-lead ECG signal and 1-D residual neural networks. Journal of Medical and Biological Engineering. 41 (5), 758-766
Sharan, RV., Xiong, H. and Berkovsky, S., (2021). Benchmarking audio signal representation techniques for classification with convolutional neural networks. Sensors. 21 (10), 3434-3434
Sharan, RV., Berkovsky, S., Navarro, DF., Xiong, H. and Jaffe, A., (2021). Detecting pertussis in the pediatric population using respiratory sound events and CNN. Biomedical Signal Processing and Control. 68, 102722-102722
Porter, P., Abeyratne, U., Swarnkar, V., Tan, J., Ng, T-W., Brisbane, JM., Speldewinde, D., Choveaux, J., Sharan, R., Kosasih, K. and Della, P., (2019). 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. 20 (1), 81-
Sharan, RV. and Moir, TJ., (2019). Acoustic event recognition using cochleagram image and convolutional neural networks. Applied Acoustics. 148, 62-66
Sharan, RV., Abeyratne, UR., Swarnkar, VR. and Porter, P., (2019). Automatic croup diagnosis using cough sound recognition. IEEE Transactions on Biomedical Engineering. 66 (2), 485-495
Sharan, RV., Abeyratne, UR., Swarnkar, VR., Claxton, S., Hukins, C. and Porter, P., (2018). Predicting spirometry readings using cough sound features and regression. Physiological Measurement. 39 (9), 095001-095001
Sharan, RV. and Moir, TJ., (2018). Pseudo-color cochleagram image feature and sequential feature selection for robust acoustic event recognition. Applied Acoustics. 140, 198-204
Sharan, RV. and Moir, TJ., (2017). Robust acoustic event classification using deep neural networks. Information Sciences. 396, 24-32
Sharan, RV. and Moir, TJ., (2016). An overview of applications and advancements in automatic sound recognition. Neurocomputing. 200, 22-34
Sharan, RV. and Moir, TJ., (2015). Noise robust audio surveillance using reduced spectrogram image feature and one-against-all SVM. Neurocomputing. 158, 90-99
Sharan, RV. and Moir, TJ., (2015). Subband time-frequency image texture features for robust audio surveillance. IEEE Transactions on Information Forensics and Security. 10 (12), 2605-2615
Sharan, RV. and Onwubolu, GC., (2014). 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. 6 (4), 9-17
Sharan, R., (2014). Development of a remote automatic weather station with a PC-based data logger. International Journal of Hybrid Information Technology. 7 (1), 233-240
Sharan, RV. and Onwubolu, GC., (2013). 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. 60, 59-66
Sharan, RV. and Onwubolu, GC., (2012). 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. 226 (8), 1369-1378
Sharan, RV. and Onwubolu, GC., (2011). Measurement of end-milling burr using image processing techniques. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 225 (3), 448-452
Conferences (29)
Sharan, RV., Qian, K. and Yamamoto, Y., (2023). Detecting childhood pneumonia using handcrafted and deep learning cough sound features and multilayer perceptron
Jose, L., Berkovsky, S., Xiong, H., Mascolo, C. and Sharan, RV., (2023). Denoising cough sound recordings using neural networks
Sharan, RV., (2023). Speech emotion recognition using gammatone cepstral coefficients and deep learning features
Sharan, RV., Xiong, H. and Berkovsky, S., (2022). Detecting cough recordings in crowdsourced data using CNN-RNN
Sharan, RV., (2021). ECG-derived respiration for sleep-wake stage classification
Sharan, RV., (2020). Spoken digit recognition using wavelet scalogram and convolutional neural networks
Sharan, RV., (2020). Detecting cardiac abnormalities using 12-lead ECG and deep learning
Sharan, RV., Berkovsky, S. and Liu, S., (2020). Voice command recognition using biologically inspired time-frequency representation and convolutional neural networks
Xiong, H., Berkovsky, S., Sharan, RV., Liu, S. and Coiera, E., (2020). Robust vision-based workout analysis using diversified deep latent variable model
Sharan, RV. and Berkovsky, S., (2020). Epileptic seizure detection using multi-channel EEG wavelet power spectra and 1-D convolutional neural networks
Sharan, RV., Berkovsky, S., Xiong, H. and Coiera, E., (2020). ECG-derived heart rate variability interpolation and 1-D convolutional neural networks for detecting sleep apnea
Sharan, RV., Berkovsky, S., Taib, R., Koprinska, I. and Li, J., (2020). Detecting personality traits using inter-hemispheric asynchrony of the brainwaves
McCloy, K., Sharan, RV., Abeyratne, UR., Duce, B., Hukins, C. and Swarnkar, VR., (2019). Using polysomnographic data to investigate symptom clusters associated with cognitive decline in patients with obstructive sleep apnea
Markandeya, M., Abeyratne, UR., Sharan, RV., Hukins, C., Duce, B. and McCloy, K., (2019). Severity analysis of upper airway obstructions: Oesophageal pressure versus snoring sounds
Swarnkar, VR., Abeyratne, UR., Duce, B., Sharan, RV., Hukins, C. and McCloy, K., (2019). Night-time brain inter-hemispheric asynchrony in sleep apnea patients carry information on neuropsychological impairment
Sharan, RV. and Moir, TJ., (2019). Time-frequency image resizing using interpolation for acoustic event recognition with convolutional neural networks
Moschovis, PP., Sampayo, EM., Porter, P., Abeyratne, U., Doros, G., Swarnkar, V., Sharan, R. and Carl, JC., (2019). A cough analysis smartphone application for diagnosis of acute respiratory illnesses in children
Swarnkar, VR., Abeyratne, UR. and Sharan, RV., (2017). Automatic picking of snore events from overnight breath sound recordings
Sharan, RV., Abeyratne, UR., Swarnkar, VR. and Porter, P., (2017). Cough sound analysis for diagnosing croup in pediatric patients using biologically inspired features
Sharan, RV. and Moir, TJ., (2015). Cochleagram image feature for improved robustness in sound recognition
Sharan, RV. and Moir, TJ., (2015). Subband spectral histogram feature for improved sound recognition in low SNR conditions
Sharan, RV. and Moir, TJ., (2015). Robust audio surveillance using spectrogram image texture feature
Sharan, RV. and Onwubolu, GC., (2015). Comparison of manual and image processing methods of end-milling burr measurement
Sharan, RV. and Onwubolu, GC., (2015). A low-cost force measurement solution applicable for robotic grippers
Sharan, RV. and Moir, TJ., (2014). Comparison of multiclass SVM classification techniques in an audio surveillance application under mismatched conditions
Sharan, RV. and Moir, TJ., (2014). Audio surveillance under noisy conditions using time-frequency image feature
Ram, KR., Sharan, RV. and Ahmed, MR., (2013). A regional university perspective on engineering education of multi-cultural freshman students from south pacific countries
Sharan, RV., Onwubolu, GC., Singh, R., Reddy, H. and Kumar, S., (2007). A simple speed feedback system for low speed DC motor control in robotic applications
Sharan, RV. and Onwubolu, GC., (2006). Development of a vision-based pick-and-place robot
Contact
Academic support hours:
My academic support hours are 13:00 to 15:00 on Friday.
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