Gloria González-Rivera, President

Gloria González-Rivera is Professor of Economics at the University of California Riverside. She received her Ph.D. from the University of California San Diego where she wrote her dissertation under the supervision of 2003 Nobel Laureate Professor Robert F. Engle. Her research focuses on the development of econometric and forecasting methodology with applications to financial markets, volatility forecasting, risk management, and agricultural markets. Her research is published in top venues such as Journal of Econometrics, Journal of Business and Economic Statistics, Journal of Applied Econometrics, International Journal of Forecasting, the Handbook of Empirical Economics and Finance, among others. She is also the sole author of the textbook Forecasting for Economics and Business (Pearson/Addison-Wesley, 2012). Professor González-Rivera is a Fulbright Scholar, and she was awarded the UC-Riverside University Scholar distinction (2007-2011) for her research and teaching contributions as well as several teaching awards at UC-San Diego. She is Associate Editor for the International Journal of Forecasting. Her research has been funded by the National Science Foundation, the California Native Indian Gaming Association, the International Institute of Forecasters/SAS, and the Academic Senate of UC-Riverside. She is also a member of the Scientific, Technical, and Modelling Peer Review Advisory Group to the South Coast Air Quality Management District in Southern. California. She has been a consultant for the hedge fund industry, and the Government-sponsored Enterprise (Freddie Mac) in topics such as mortgage securitization, subordinated debt, and risk management. She served as the Chair of the Economics Department (2003-2008) of UC-Riverside.

George Athanasopoulos, Treasurer

George Athanasopoulos  is Professor and Deputy Head at the Department of Econometrics and Business Statistics at Monash University, Australia. He received his PhD in Econometrics from Monash University in 2007 and has since been a member of the Monash Business and Economic Forecasting Unit. A large body of his research has a strong focus on forecasting with work published in journals such as: Journal of Econometrics (an Annals Issue on Forecasting in 2011), Journal of Business and Economic Statistics, Journal of Applied Econometrics, Journal of Time Series Analysis, and of course the International Journal of Forecasting. He has co-authored with Rob J. Hyndman, Forecasting: Principles and Practice a free online textbook which has practitioners, undergraduate and MBA students as its target audience.

Stephan Kolassa, Secretary

Stephan Kolassa is a Research Expert at SAP AG in Switzerland. He is responsible for the statistical and time series analysis aspects in developing software for automatic and robust causal forecasting of daily SKU/store level data in the retail sector. He is also involved in research for downstream forecast-based processes, such as price optimization, assortment planning and replenishment. Stephan serves as an associate editor for Foresight. In his spare time, he does inferential statistics in biological and clinical psychology.

Mohsen Hamoudia, Past President

Mohsen Hamoudia is presently Head of Strategy and Market Intelligence within Large Accounts Division of Orange Business Services, Paris. Since 1993 in France Telecom Group, he was Head of New Products Division, then Head of “Customized Offerings” Division of the “Greater Paris Area”. In 1997, he leaded the “Planing and Forecasting” Division of “France Telecom Long Distance”. Throughout his career in the Company, he’s been involved in many projects and studies related to Forecasting ICT (Information Communication Technology), such as Networks Planing, Designing and Deployment, Integration and Outsourcing, Customer Experience, Strategic Marketing as well most new business products and solutions such as Cloud Computing, Security Infrastructures, Unified Communications and Mobile. Prior to France Telecom Group, he has been Head of Marketing for Electronic Payments System at Atos Company (1988-1993) and Traffic Forecasting Manager at Air Inter (merged with Air France Group in 1997).

Mohsen has been teaching Forecasting and Quantitative Techniques since 1989 at Toulouse Business School, ESDES Business School-Lyon and ISM (Institut Superieur du Marketing), Paris. He is member of the International Editorial Board of Telecommunications Policy Journal (Elsevier).

Directors, At Large

Nuno Crato NCrato

Nuno Crato is Professor of Mathematics and Statistics at the University of Lisbon School of Economics and Business (ISEG). He graduated in economics from the Technical University of Lisbon and worked as technical director of a consultancy firm in the Azores for project planning and forecasting services. After receiving a Ph.D. in Applied Mathematics from the University of Delaware (US), he worked as a professor and researcher at the Stevens Institute of Technology and at the New Jersey Institute of Technology. In 2000, Nuno Crato organized the 20th International Symposium on Forecasting. In 2009, he coorganized with Esther Ruiz the IIF Workshop “On the Predictability of Financial Markets”. Over the years, he has been an active participant in IIF events and has been a IJF guest editor. More recently, in government, he pushed for data availability and quantitative forecasting as bases for evidence-based policy making. His research deals with time series analysis, forecasting with long-memory models, volatility modelling, and various applications of stochastic models. He has published in the International Journal of Forecasting, Journal of Econometrics, Journal of Forecasting, Quantitative Finance, Computational Statistics and Data Analysis, and in other leading scientific journals.

Laurent Ferrara

Dr. Laurent Ferrara is Head of the International Macroeconomics Division at the Banque de France in Paris, in charge of the outlook and macroeconomic forecasting for advanced economies, as well as global policy issues such as exchange rates, commodities or global imbalances. Main tasks of this division of around 20 people are policy briefing, preparation of international meetings (ECB, IMF, OECD, G20) and economic research. At the same time, he is involved in academics and has been appointed Adjunct Professor of Economics at the University of Paris West in September 2011, where he teaches economic modelling, advanced time series analysis and international macroeconomics. He is also research fellow at EconomiX, a research center in economics operated by the CNRS and the University of Paris West.

Dr. Ferrara holds a PhD in Statistics from the University of Paris North (2001) and a Research Habilitation in Economics from the University of Paris 1 – Panthéon – Sorbonne (2007). His academic research mainly focuses on macroeconomic forecasting, econometric methods, non-linear modelling, business cycle analysis and international economics. He published several papers in international and national academic journals, chapters in books and a book on time series analysis and forecasting.

Ana Galvao

Ana Beatriz Galvão is Associate Professor of Economic Modelling and Forecasting at Warwick Business School, University of Warwick, since 2013. She was previously Reader in Economics at the School of Economics and Finance of Queen Mary, University of London. She holds a PhD in Economics from the University of Warwick (2002).

Ana Galvao research interests are on empirical macroeconomics, forecasting, and nonlinear time series models.  Her research has been widely published in leading academic journals such as the Journal of Econometrics, the Journal of Business and Economics Statistics, the Journal of Applied Econometrics, the European Economic Review and the International Journal of Forecasting. She was the principal investigator of an ESRC-funded research project on “Economic Forecasting under Macroeconomic Uncertainty” over the 2013-2015 period. She is currently Associate Editor of the International Journal of Forecasting, and it is part of the team behind the Warwick Business School Forecasting System.  She is currently organizing a novel postgraduate course in economic and business forecasting with emphasis on their usefulness for decision-making under uncertainty.

Michael Gilliland

Michael Gilliland is Product Marketing Manager for SAS forecasting software. Prior to joining SAS in 2004, Mike spent over 15 years in forecasting positions in the food, consumer electronics, and apparel industries, and in consulting. He is author of The Business Forecasting Deal (2010), principal editor of Business Forecasting: Practical Problems and Solutions (2015), and writes The Business Forecasting Deal blog. Mike is the Forecasting Practice column editor for Foresight, and co-chaired the 2016 Foresight Practitioner Conference. His main interests are in forecasting process related issues, such as worst practices and Forecast Value Added analysis, and in translating research findings to real-life improvement in business forecasting. He has previously served on the Advisory Board of the Institute of Business Forecasting, and on the conference committees for APICS and INFORMS. Mike holds a BA in Philosophy from Michigan State University, and Master’s degrees in Philosophy and Mathematical Sciences from Johns Hopkins University.

Tao Hong

Tao Hong is an Assistant Professor and NCEMC Faculty Fellow in the Department of Systems Engineering and Engineering Management at the University of North Carolina at Charlotte, where he directs the Big Data Energy Analytics Laboratory (BigDEAL). He is the Founding Chair of IEEE Working Group on Energy Forecasting, General Chair of the Global Energy Forecasting Competition. He is an Editor of IEEE Transactions on Smart Grid and Associate Editor of the International Journal of Forecasting. Since 2008, he has been providing training and consulting services to hundreds of organizations in the energy industry.

Pilar PoncelaPPoncela

Pilar Poncela is a Professor in the department of Quantitative Economics at Universidad Autonoma de Madrid, Spain, after taking a leave to work at the European Commission, Joint Research Centre in Ispra, Italy (2016-2019). She has an Electrical Engineering Degree from Universidad de Valladolid, Spain and received her PhD in Economics from Universidad Carlos III de Madrid. Her research interests are focused on forecasting, in particular wind forecasting, macro forecasting and the combination of forecasts, although dynamic factor models and applied macroeconomics are also in her research agenda. She has published her research in journals such as International Journal of Forecasting, Journal of Forecasting, Journal of Business and Economic Statistics, Journal of Econometrics, Journal of Applied Econometrics, Applied Energy, among others. She is a Fellow of the UC3M-Santander Big Data Institute. She was visiting scholar at The University of Chicago’s Graduate School of Business (1998). She has also enjoyed several research sojourns at the Bank of Spain Research Department (2009), ITAM (México, 2010), National University of Colombia (2014) and Cass Business School (UK, 2014), among others. Her research has been funded by the Spanish Ministry of Education, the Spanish Ministry of Science and Technology, the Spanish Ministry of Economy and Competitiveness and the Madrid Research Council. She has supervised several PhD students working on wind energy forecasting and economic forecasting. She has been consultant for Lease Plan, BBVA, Credito & Caucion Insurance Company and the National Traffic Department.

Reinaldo Castro Souza

Reinaldo Castro Souza is a full Professor in Systems Engineering at PUC-Rio (Catholic University of Rio de Janeiro), where he is the head of the post graduate program in Time Series Analysis and Forecasting.  He is a graduate in Electrical Engineering, holds an MSc in Stochastic Systems and a PhD in Statistics from Warwick University, UK  in the area of Bayesian Forecasting. His research interest is on time series analysis and forecasting, with applications in various fields of interest (economics, finance, election among others). From mid nineties, with the beginning of the privatization of the energy sector in Brazil, almost all of his research interests were in the the field of electrical energy forecasting.  Currently, he is part of a selected research team of Brazilian researches studying the optimal dispatch of energy for the interconnected Brazilian grid in charge of the development of alternative forecasting methods to model the inflow and wind speed time series, which are used as simulation tools within a stochastic dynamic mathematical program, that produces the optimal energy dispatch.

Aris Syntetos

Aris A. Syntetos is Professor of Operational Research and Operations Management at Cardiff University, Business School. His research interests relate primarily to supply chain (demand) forecasting (both statistical and judgemental) and its interface with inventory management, and he has published widely in this area in such Journals as Production and Operations Management, Naval Research Logistics, International Journal of Forecasting etc. His research to date has been supported by 5 grants from the Engineering and Physical Sciences Research Council, 3 Knowledge Transfer Partnerships (Technology Strategy Board) and smaller funds from other funding councils such as the Royal Society, North-West Development Agency etc. He is Co-Editor in Chief of the IMA Journal of Management Mathematics (Oxford University Press) and Associate Editor of the Journal of the Operational Research Society (Palgrave). He is also the Supply Chain Editor of FORESIGHT, the practitioner oriented publication of the International Institute of Forecasters (IIF).

Len Tashman

Founding (and current) Editor, Foresight: The International Journal of Applied Forecasting (2005 to date). On the IIF Board of Directors, (since 2002), Director, Center for Business Forecasting (since 1997), Professor Emeritus, School of Business Administration, University of Vermont (since 2001).  Faculty of BSAD 1971-2001, Software Editor, The Oracle of the IIF (1990s). Author of many articles on business forecasting.  Major topics: Measurement of forecast accuracy, Automatic forecasting methods, Confidence intervals for regression forecasts and Forecasting software