+44 1865 283879
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice.
The Journal of the Acoustical Society of America issue 5 volume 145 page 2871- (May 2019)
Smartphone motor testing to distinguish idiopathic REM sleep behavior disorder, controls, and PD.
Neurology issue 16 volume 91 page e1528-e1538 (October 2018)
Big data in Parkinson's disease: using smartphones to remotely detect longitudinal disease phenotypes.
Physiological measurement issue 4 volume 39 page 044005- (26 April 2018)
- Time Series Forecasting
- Biomedical Signal Processing
- Forecasting Methodologies
- Synchronization in Complex Systems
Prizes, awards, and scholarships:
- The Martin Black Prize 2019 (with Dr J. Prince and Prof M. de Vos)
- Most acclaimed lecturer award 2017 - by Oxford University Student Union
- EPSRC Computational Statistics and Machine Learning Award 2015-16 (with Dr A. Tsanas)
Major / recent publications:
C. Lo, S. Arora, F. Baig, M.A. Lawton, C. El Mouden, T.R. Barber, C. Ruffmann, J.C. Klein, P. Brown, Y. Ben‐Shlomo, M. de Vos, M.T. Hu (2019). Predicting motor, cognitive & functional impairment in Parkinson's, Annals of Clinical and Translational Neurology, 6(8), 1498–1509.
S. Arora, L. Ravary, A. Tsanas (2019). Developing a Large Scale Population Screening Tool for the Assessment of Parkinson’s Disease Using Telephone-quality Voice, The Journal of the Acoustical Society of America, 145(5), 2871–2884.
S. Haben, G. Giasemidis, F. Ziel, S. Arora (2018). Short Term Load Forecasts of Low Voltage Demand and the Effects of Temperature, International Journal of Forecasting, forthcoming.
S. Arora, F. Baig, C. Lo, T.R. Barber, M.A. Lawton, A. Zhan, M. Rolinski, C. Ruffmann, J.C. Klein, J. Rumbold, A. Louvel, Z. Zaiwalla, G. Lennox, T. Quinnell, G. Dennis, R. Wade-Martins, Y. Ben-Shlomo, M.A. Little, M.T. Hu (2018). Smartphone Motor Testing to Distinguish Idiopathic REM Sleep Behavior Disorder, Controls, and PD, Neurology, 91(16), e1528-e1538.
S. Arora, N.P. Visanji, T.A Mestre, A. Tsanas, A. AlDakheel, B.S. Connolly, C. Gasca-Salas, D.S. Kern, J. Jain, E.J. Slow, A. Faust-Socher, A.E. Lang, M.A. Little, C. Marras (2018). Investigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson’s Disease, Journal of Parkinson's disease, 8(4), 503-510.
J. Prince, S. Arora, M De Vos (2018). Big Data in Parkinson's Disease: Using Smartphones to Remotely Detect Longitudinal Disease Phenotypes, Physiological Measurement, 39(4), 044005.
S. Arora and J.W. Taylor (2017). Rule-based Autoregressive Moving Average Models for Forecasting Load on Special Days: A Case Study for France. European Journal of Operational Research, 266(1), 259-268.
M. Jurynczyk, F. Probert, T. Yeo, G. Tackley, TDW. Claridge, A. Cavey, MR. Woodhall, S. Arora, T. Winkler, E. Schi er, A. Vincent, G. DeLuca, NR Sibson, M.Isabel Leite, P. Waters, DC. Anthony, J. Palace (2017). Metabolomics Reveals Distinct, Antibody-independent, Molecular Signatures of MS, AQP4-antibody and MOGantibody Disease. Acta Neuropathologica Communications, 5(1), 1-13.
S.R. Moulick, S. Arora, C. Jain and P.K. Panigrahi (2016). Reliable SVD based Semi-blind and Invisible Watermarking Schemes. International Journal of Computer Applications, 145(7), 1-5.
J. Zablocki, S. Arora, and M. Barua (2016), Factors Affecting Media Coverage of Species Rediscoveries. Conservation Biology, 30(4), 914-917
S. Arora, V. Venkataraman, S. Donohue, K.M. Biglan, E.R. Dorsey and M.A. Little (2015). Detecting and Monitoring the Symptoms of Parkinson's Disease using Smartphones: A Pilot Study, Parkinsonism and Related Disorders, 21(6), 650-653.
S. Arora and J.W. Taylor, Forecasting Electricity Smart Meter Data Using Conditional Kernel Density Estimation, Omega, 59, 47-59.
S. Arora and M.S. Santhanam (2014), Synchronization of Coupled Map Lattice using Delayed Variable Feedback, Journal of Applied Nonlinear Dynamics, 3(3), 245-253.
N.A. Vasistha, F. García-Moreno, S. Arora, A.F.P Cheung, S.J. Arnold, E.J. Robertson and Z. Molnar (2014), Cortical and Clonal Contribution of Tbr2 Expressing Progenitors in the Developing Mouse Brain, Cerebral Cortex, 251(10), 3290-3302.
S. Arora and J.W. Taylor (2013), Short-term Forecasting of Anomalous Load Using Rule-based Triple Seasonal Methods, IEEE Transactions on Power Systems, 28(3), 3235-3242.
S. Arora, M.A. Little and P.E. McSharry (2013), Nonlinear and Nonparametric Modelling Approaches for Probabilistic Forecasting of the US Gross National Product,
Studies in Nonlinear Dynamics and Econometrics, 17(4), 395-420.
A.H. Gharekhan, S. Arora, Ashok N. Ozac, M.B. Sureshkumar, A. Pradhan and P.K. Panigrahi (2011), Distinguishing Autofluorescence of Normal, Benign and Cancerous Breast Tissues through Wavelet Domain Correlation Studies, Journal of Biomedical Optics, 16(8), 087003.
A.H. Gharekhan, S. Arora, P.K. Panigrahi and A. Pradhan (2010), Distinguishing Cancer and Normal Breast Tissue Autofluorescence Using Continuous Wavelet Transform, IEEE Journal of Selected Topics in Quantum Electronics, 16(4), 893-899.
D. P. Ahalpara, S. Arora and M.S. Santhanam (2009), Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG, Lecture Notes in Computer Science, 5481, 13-24.
A.H. Gharekhan, S. Arora, K.B.K. Mayya, P.K. Panigrahi, M.B. Sureshkumar and A. Pradhan (2008), Characterizing Breast Cancer Tissues Through the Spectral Correlation Properties of Polarized Fluorescence, Journal of Biomedical Optics, 13(5), 054063.
S. Arora, J. Acharya, A. Verma and P.K. Panigrahi (2008), Multilevel Thresholding for Image Segmentation Through a Fast Statistical Recursive Algorithm, Pattern Recognition Letters, 29(2), 119-125.
M.S. Santhanam and S. Arora (2007), Zero Delay Synchronization of Chaos in Coupled Map Lattices, Physical Review E, 76(2), 026202.
S. Hemachander, A. Verma, S. Arora and P.K. Panigrahi (2007), Local Adaptive Block Thresholding Method with Continuity Constraint, Pattern Recognition Letters, 28(1), 119-124.