Dr Emmanuel Silva

Title

Head of Research Co-ordination Fashion Business School

College

London College of Fashion

Email address

e.silva@fashion.arts.ac.uk

Biography

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.

External Links

Research Outputs

Article

Hassani H, Huang X, Silva ES, Ghodsi M. Deep Learning and Implementations in Banking (2020)
Vecchi A, Silva ES, Angel LMJ. Nation Branding, Cultural Identity and Political Polarization – An Exploratory Framework (2020)
Hassani H, Yeganegi MR, Khan A, Silva ES. The Effect of Data Transformation on Singular Spectrum Analysis for Forecasting (2020)
Donnelly S, Gee L, Silva ES. UK mid-market department stores: Is fashion product assortment one key to regaining competitive advantage? (2020)
Hassani H, Silva ES, Unger S, TajMazinani M, Mac Feely S. Artificial Intelligence (AI) or Intelligence Augmentation (IA): What Is the Future? (2020)
Pierdzioch C, Gupta R, Hassani H, Silva ES. Forecasting changes of economic inequality: A boosting approach (2020)
Silva ES, Hassani H, Madsen DO, Gee L. Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends (2019)
Hassani H, Silva ES, Combe M, Andreou D, Ghodsi M, Yeganegi MR, Gozlan RE. A Support Vector Machine Based Approach for Predicting the Risk of Freshwater Disease Emergence in England (2019)
Hassani H, Huang X, Silva ES. Big Data and Climate Change (2019)
Silva ES, Hassani H, Ghodsi M, Ghodsi Z. Forecasting with auxiliary information in forecasts using multivariate singular spectrum analysis (2018)
Silva ES, Hassani H, Heravi S, Huang X. Forecasting tourism demand with denoised neural networks (2018)
Hassani H, Yeganegi MR, Silva ES. A New Signal Processing Approach for Discrimination of EEG Recordings (2018)
Hassani H, Silva ES, Gupta R, Das S. Predicting Global Temperature Anomaly: A Definitive Investigation Using an Ensemble of Twelve Competing Forecasting Models (2018)
Silva ES, Huang X, Hassani H. Causality between Oil Prices and Tourist Arrivals (2018)
Hassani H, Huang X, Silva ES. Big-Crypto: Big Data, Blockchain and Cryptocurrency (2018)
Silva ES, Ghodsi Z, Hassani H, Kalantari M. Estimation of protein diffusion parameters (2018)
Hassani H, Silva ES. Forecasting UK Consumer Price Inflation using Inflation Forecasts (2018)
Hassani H, Huang X, Silva ES. Digitalisation and Big Data Mining in Banking (2018)
Silva ES, Hassani H, Otero J, Beneki C. Forecasting inflation under varying frequencies (2018)
Hassani H, Silva ES. Big Data: a big opportunity for the petroleum and petrochemical industry (2018)
Kalantari Y, Yarmohammadi M, Hassani H, Silva ES. Time Series Imputation via L1 Norm-Based Singular Spectrum Analysis (2018)
Silva ES, Hassani H, Heravi S. Modeling European industrial production with multivariate singular spectrum analysis: A cross-industry analysis (2018)
Ghodsi M, Hassani H, Rahmani D, Silva ES. Vector and recurrent singular spectrum analysis: which is better at forecasting? (2017)
Hassani H, Silva ES, Ghodsi Z. Optimizing Bicoid Signal Extraction (2017)
Silva ES, Ghodsi Z, Ghodsi M, Heravi S, Hassani H. Cross Country Relations in European Tourist Arrivals (2017)
Hassani H, Silva ES, Antonakakis NR, Filis G, Gupta R. Forecasting Accuracy Evaluation of Tourist Arrivals (2017)
Hassani H, Silva ES. Forecasting energy data with a time lag into the future and Google trends (2016)
Silva ES, Ghodsi M, Hassani H, Abbasirad K. A quantitative exploration of the statistical and mathematical knowledge of university entrants into a UK Management School (2016)
Hassani H, Huang X, Silva ES, Ghodsi M. A review of data mining applications in crime (2016)
Hassani H, Ghodzi Z, Silva ES, Heravi S. From nature to maths: Improving forecasting performance in subspace-based methods using genetics Colonial Theory (2016)
Silva ES. A short note on the accuracy of structural break tests at detecting oil price shocks in advance (2015)
Ghodzi Z, Silva ES, Hassani H. Bicoid Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques (2015)
Silva ES, Hassani H. On the use of Singular Spectrum Analysis for Forecasting U.S. Trade before, during and after the 2008 Recession (2015)
Hassani H, Silva ES. A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts (2015)
Hassani H, Silva ES, Gupta R, Segnon MK. Forecasting the Price of Gold (2015)
Hassani H, Webster A, Silva ES, Heravi S. Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis (2015)
Hassani H, Silva ES. Forecasting with Big Data: A Review (2015)
Hassani H, Saporta G, Silva ES. Data Mining and Official Statistics: The Past, the Present and the Future (2014)
Hassani H, Mahmoudvand R, Omer HN, Silva ES. A Preliminary Investigation into the Effect of Outlier(s) on Singular Spectrum Analysis (2014)
Silva ES, Rajapaksa CR. Evaluating the effectiveness of parametric and nonparametric energy consumption forecasts for a developing country (2014)
Silva ES. A combination forecast for energy-related CO 2 emissions in the United States (2013)
Silva ES, Wu Y, Ojiako U. Developing Risk Management as a Competitive Capability (2013)
Beneki C, Silva ES. Analysing and forecasting European Union energy data (2013)
Hassani H, Rua A, Silva ES, Thomakos D. Monthly forecasting of GDP with mixed-frequency multivariate singular spectrum analysis
Hassani H, Ghodsi M, Huang X, Silva ES. Is there a Causal Relationship between Oil Prices and Tourist Arrivals?
Hassani H, Yeganegi MR, Silva ES, Ghodsi F. Risk management, signal processing and econometrics: A new tool for forecasting the risk of disease outbreaks
Kalantari M, Hassani H, Silva ES. Weighted Linear Recurrent Forecasting in Singular Spectrum Analysis
Vecchi A, Silva ES, Jimenez Angel L. Nation Branding, Cultural Identity and Political Polarization – An Exploratory Framework
Silva ES, Hassani H, Madsen DØ. Big Data in fashion: transforming the retail sector
Hassani H, Huang X, Silva ES. Banking with blockchain-ed big data
Hassani H, Silva ES, Al Kaabi AM. The role of innovation and technology in sustaining the petroleum and petrochemical industry
Madsen DØ, Silva ES, Hassani H. The application of big data in fashion retailing: a narrative review

Book

Hassani H, Huang X, Silva ES. Fusing Big Data, Blockchain and Cryptocurrency (2020)

Teaching

Current research students

James Clark, An examination of the resilience of fashion retail business model design in a period of changing consumer value expectation (Joint supervisor)
Lauren Junestrand Leal, “Extending the life of fashion through circularity: an exploration into consumer behaviour towards clothing utilisation and consequent strategic opportunities for fashion brands.” (Joint supervisor)
Bruce Sinclair, “The Super Bowl of Fashion”: Understanding the Relationship Between Culture and Commerce in the Rise of the Met Gala. (Joint supervisor)