Lecturer, Quantitative Methods
London College of Fashion
London College of Fashion
Dr. Emmanuel Sirimal Silva is the recipient of a BSc (Hons) Economics and Actuarial Science, and MSc Risk Management from the University of Southampton, UK, and a PhD in Statistics from the Bournemouth University, UK. He currently serves as a Lecturer in Quantitative Methods at the Fashion Business School, London College of Fashion, UAL.
Prior to his appointment at UAL, Emmanuel served as a Part Time Lecturer in Statistics and Econometrics at the Faculty of Management, Bournemouth University (BU). In addition, he has also worked as a Research Assistant for BU, an Economic Research Analyst for an Investment Bank (Asia Capital PLC, Sri Lanka) and a Finance Trainee for an Insurance firm (Janashakthi Insurance, Sri Lanka).
Emmanuel has diverse research interests which include the application and development of time series analysis and forecasting techniques, with particular focus on a signal extraction and filtering technique known as Singular Spectrum Analysis. Emmanuel’s research has been published in several highly ranked journals and he has presented his work at many conferences. At present he collaborates with a variety of universities on different research projects and is keen on extending his forecasting research into the fashion industry.
Singular spectrum analysis, time series analysis, forecasting, signal extraction, filtering, applied statistics, fashion forecasting, and data mining.
International Institute of Forecasters Travel Award.
Santander Universities Postgraduate Research Scholarship.
Hassani, H and Ghodzi, Z and Silva, E.S. and Heravi, S. (2016) From nature to maths: Improving forecasting performance in subspace-based methods using genetics Colonial Theory. Digital Signal Processing, 51. pp. 101-109.
Ghodzi, Z. and Silva, E.S. and Hassani, H. (2015) Bicoid Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques. Genomics Proteomics & Bioinformatics, 13 (3). pp. 183-191.
Hassani, H. and Webster, A. and Silva, E.S. and Heravi, S (2015) Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis. Tourism Management, 46. pp. 322-335.
Hassani, H. and Silva, E.S. and Gupta, R. and Segnon, M.K. (2015) Forecasting the Price of Gold. Applied Economics, 47 (39). pp. 4141-4152.
Hassani, H. and Silva, E.S. (2015) Forecasting with Big Data: A Review. Annals of Data Science, 2 (1). pp. 5-19.
Hassani, H. and Silva, E.S. (2015) A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts. Econometrics, 3 (3). pp. 590-609.
Silva, E.S. and Hassani, H. (2015) On the use of Singular Spectrum Analysis for Forecasting U.S. Trade before, during and after the 2008 Recession. International Economics, 141. pp. 34-49.
Hassani, H. and Saporta, G. and Silva, E.S. (2014) Data Mining and Official Statistics: The Past, the Present and the Future. Big Data, 2 (1). pp. 34-43.
Hassani, H. and Mahmoudvand, R. and Omer, H.N. and Silva, E.S. (2014) A Preliminary Investigation into the Effect of Outlier(s) on Singular Spectrum Analysis. Fluctuation and Noise Letters, 13 (4).
Silva, E.S. and Wu, Y. and Ojiako, U. (2013) Developing Risk Management as a Competitive Capability. Strategic Change, 22 (5-6). pp. 281-294.