Dr Emmanuel Silva
Title
Reader Fashion Business Management
College
London College of Fashion
Email address
Tags
Researcher Research
Biography
Dr. Emmanuel Sirimal Silva is Interim Director Fashion Business Research and Reader in Applied Statistics at London College of Fashion, University of the Arts London. Prior to his current role, Emmanuel joined LCF as a Lecturer in Quantitative Methods in 2015 and also held the post of Course Leader MSc (Integrated) Strategic Fashion Management. During Emmanuel's tenure as Course Leader, the course achieved an impressive 94.4% overall student satisfaction rating through the 2019 National Student Survey. In 2021, Emmanuel developed and launched the innovative and world's first MSc Fashion Analytics and Forecasting course at LCF.He has published over 50 peer-reviewed journal articles with over 2100 citations (Google Scholar). His publications appear in highly ranked and well-reputed journals such as; International Journal of Forecasting, International Marketing Review, Tourism Management, Annals of Tourism Research, Technological Forecasting and Social Change, Journal of Forecasting, Physica A, Research in Economics, Applied Economics, Fluctuation and Noise Letters, and International Economics (to name a few).
As an applied statistician, Emmanuel has diverse research interests which include time series analysis and forecasting with Singular Spectrum Analysis with applications in fashion business, tourism, and economics. In recognition of his contributions to research he has been invited to serve on the editorial boards of International Journal of Forecasting (AJG 3*), Tourism Economics (AJG 2*), and Annals of Tourism Research Empirical Insights. In addition to his teaching commitments, Emmanuel also supervises three PhD students and has successfully secured research funding for Fashion Business Research Centre via external research bids and consultancy projects. These include:
* Principal Investigator: Fashion Business Research Centre x lululemon's the need for touch project (2022) [Completed]
* Principal Investigator: Fashion Innovation Agency x Reactive Reality x Microsoft's Digital Human Stylist (2020) [Completed]
* Co-Investigator: Managing Transition in the UK Fashion Sector commissioned by Creative Industries Policy and Evidence Centre led by Nesta (2021) [Completed]
* Co-Investigator Quantitative Research Only: AHRC Creative Industries Cluster Programme (CICP), funded by UK Industry Strategy UAL, Business of Fashion Textiles and Technology (BFTT) (2021) [Ongoing]
Emmanuel is the recipient of a BSc (Hons) Economics and Actuarial Science, an MSc Risk Management from the University of Southampton, UK, PG Cert Academic Practice in Art, Design and Communication (University of the Arts London), and a Ph.D. in Statistics from the Bournemouth University, UK. He is recognized as a Fellow of the Higher Education Academy in the UK.
Grants and awards
(Figures indicate amount awarded to UAL)
- Creative Industries Policy & Evidence Centre led by Nesta, Managing transition in the UK fashion sector: design-led micro, small and medium sized enterprises (MSMEs) as catalysts for net zero goals, resilience, and sustainable prosperity, £49,459.59, (2021-2022)
External Links
Research Outputs
Article
- Hur Y-J, Etcoff N, Silva E. Can Fashion Aesthetics be Studied Empirically? the Preference Structure of Everyday Clothing Choices (2022)
- Silva ES, Hassani H. ‘Modelling’ UK tourism demand using fashion retail sales (2022)
- Guan B, Silva ES, Hassani H, Heravi S. Forecasting tourism growth with State-Dependent Models (2022)
- Hassani H, Beneki C, Silva ES, Vandeput N, Madsen DØ. The science of statistics versus data science: What is the future? (2021)
- Madsen DØ, Silva ES, Hassani H. The application of big data in fashion retailing: a narrative review (2021)
- Silva ES, Bonetti F. Digital humans in fashion: Will consumers interact? (2021)
- Hassani H, Huang X, Silva ES. The Human Digitalisation Journey: Technology First at the Expense of Humans? (2021)
- 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)
- Hassani H, Ghodsi M, Huang X, Silva ES. Is there a Causal Relationship between Oil Prices and Tourist Arrivals? (2020)
- Kalantari M, Hassani H, Silva ES. Weighted Linear Recurrent Forecasting in Singular Spectrum Analysis (2019)
- Silva ES, Hassani H, Madsen DØ. Big Data in fashion: transforming the retail sector (2019)
- Hassani H, Rua A, Silva ES, Thomakos D. Monthly forecasting of GDP with mixed-frequency multivariate singular spectrum analysis (2019)
- Silva ES, Hassani H, Madsen DØ, Gee L. Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends (2019)
- Hassani H, Yeganegi MR, Silva ES, Ghodsi F. Risk management, signal processing and econometrics: A new tool for forecasting the risk of disease outbreaks (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)
- Hassani H, Huang X, Silva ES. Banking with blockchain-ed big data (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)
- Hassani H, Silva ES, Al Kaabi AM. The role of innovation and technology in sustaining the petroleum and petrochemical industry (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)
- Hassani H, Silva ES, Gupta R, Segnon MK. Forecasting the Price of Gold (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. Forecasting with Big Data: A Review (2015)
- Ghodzi Z, Silva ES, Hassani H. Bicoid Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques (2015)
- Hassani H, Webster A, Silva ES, Heravi S. Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis (2015)
- Hassani H, Mahmoudvand R, Omer HN, Silva ES. A Preliminary Investigation into the Effect of Outlier(s) on Singular Spectrum Analysis (2014)
- Hassani H, Saporta G, Silva ES. Data Mining and Official Statistics: The Past, the Present and the Future (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)
Book
- Hassani H, Huang X, Silva ES. Fusing Big Data, Blockchain and Cryptocurrency (2020)
Teaching
Current research students
- 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)
- Minji Seo, Fashion Innovation System Policy: Probing regional innovation systems to optimise digital manufacturing for fashion designers (Joint supervisor)
Subjects
Business & management, and science
Fashion business