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Siddharth Arora

Parkinson's UK Early Career Fellow
Medicine

Siddharth completed his DPhil at Somerville College. His DPhil was focused on developing statistical methods for time series forecasting. His research interests include Biomedical Signal & Image Processing, Statistical Modelling, Forecasting, and Chaos Synchronization. His work is primarily concerned with two application areas: Healthcare, and Energy.

Currently, Siddharth is investigating remote technologies for the diagnosis and monitoring of Parkinson’s disease. He develops statistical algorithms using data for voice, gait, posture, reaction times, dexterity, and tremor, collected using smartphones in a home and community setting. These algorithms are aimed at identifying patterns in the data, which can be used to discriminate people with Parkinson’s disease from healthy controls and accurately monitor the severity symptoms of the disease over time.

Siddharth is also working on a NHS funded project aimed at predicting the A&E arrivals, admissions and discharges across hospitals in the West Midlands. The algorithms developed as part of this project will be used operationally by the NHS to optimize staffing decisions, which would help reduce patient waiting times.

http://people.maths.ox.ac.uk/arora/

 

Publications
  • "Detecting and Monitoring the Symptoms of Parkinson's Disease using Smartphones: A Pilot Study", Parkinsonism and Related Disorders, 21, 650–653.
    S. Arora, V. Venkataraman, A. Zhan, S. Donohue, K.M. Biglan, E.R. Dorsey, M.A. Little (2015)
  • "Forecasting Electricity Smart Meter Data Using Conditional Kernel Density Estimation", Omega, forthcoming.
    S. Arora and J.W. Taylor (2014)
  • "Cortical and Clonal Contribution of Tbr2 Expressing Progenitors in the Developing Mouse Brain", Cerebral Cortex, forthcoming.
    N.A. Vasistha, F. García-Moreno, S. Arora, A.F.P. Cheung, S.J. Arnold, E.J. Robertson and Z. Molnár (2014)
  • Synchronization of Coupled Map Lattice using Delayed Variable Feedback", Journal of Applied Nonlinear Dynamics, 3, 245-253.
    S. Arora and M.S. Santhanam (2014)
  • "Short-term Forecasting of Anomalous Load using Rule-based Triple Seasonal Methods", IEEE Transactions on Power Systems, 28, 3235-3242.
    S. Arora and J.W. Taylor (2013)
  • "Nonlinear and Nonparametric Modelling Approaches for Probabilistic Forecasting of the US Gross National Product", Studies in Nonlinear Dynamics and Econometrics, 17, 395-420.
    S. Arora, M.A. Little and P.E. McSharry (2013)
  • "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, A.N. Oza, M.B. Sureshkumar, A. Pradhan and P.K. Panigrahi (2011)
  • "Multilevel Thresholding for Image Segmentation Through a Fast Statistical Recursive Algorithm", Pattern Recognition Letters, 29(2), 119-125.
    S. Arora, J. Acharya, A. Verma, P.K. Panigrahi (2008)
  • "Characterizing Breast Cancer Tissues Through the Spectral Correlation Properties of Polarized Fluorescence", Journal of Biomedical Optics, 13 (5), 054063.
    A.H. Gharekhan, S. Arora, K.B.K. Mayya, P.K. Panigrahi, M.B. Sureshkumar and A. Pradhan (2008)
  • "Zero Delay Synchronization of Chaos in Coupled Map Lattices", Physical Review E, 76 (2), 026202.
    M.S. Santhanam and S. Arora (2007)

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