Gloria González-Rivera

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

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. A large body of his research has a strong focus on forecasting with work published in journals such as: Journal of the American Statistical AssociationJournal of EconometricsJournal of Business and Economic StatisticsEuropean Journal of Operations ResearchJournal of Applied EconometricsJournal of Computational and Graphical StatisticsJournal of Time Series Analysis, and of course the International Journal of Forecasting. His research has also focused on forecasting and modelling tourism demand and has also published in the Annals of Tourism Research, Tourism Management and the Journal of Travel Research. He is Associate Editor for the International Journal of Forecasting and on the Editorial board for the Journal of Travel Research. George 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. The book has about 15,000 page views per day from  3,000 users from 215 countries and it has now been translated into Korean and Chinese.

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.

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, he has been involved in projects related to Forecasting ICT (Information Communication Technology), such as Networks Planing, Designing and Deployment, Integration and Outsourcing, Customer Experience, Strategic Marketing as well as new business products and solutions such as Cloud Computing, Security Infrastructures, Unified Communications and Mobile. Prior to France Telecom Group, he was 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 CratoNCrato

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.

Elaine Deschamps

Elaine Deschamps is Executive Director of the Washington State Caseload Forecast Council, an independent state agency responsible for producing entitlement forecasts that provide the foundation for 80 percent of the Washington State budget. These forecasts include health care, public education, the criminal justice system, human services, and public assistance programs. Elaine has spent 22 years in public service, previously as Senior Fiscal Analyst for the Washington State Senate Ways and Means Committee, in charge of the low-income health care and public health budgets. She received double majors in political science and economics from the University of Puget Sound, and her MA and PhD in political science from Indiana University. Elaine has published articles in the International Journal of Forecasting and Foresight: The International Journal of Applied Forecasting. Her interests involve organizational dynamics of forecasting, health care and budget forecasting, judgmental adjustments, and collaborative forecasting. She has served on the Editorial Board of Foresight and has consulted in both the public and private sector, in arenas ranging from low-income health care to supply chain forecasting.

Laurent Ferrara

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. He is also involved in academics and has been appointed Adjunct Professor of Economics at the University of Paris Nanterre in September 2011. Dr. Ferrara holds a PhD in Applied Mathematics 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, international economics, non-linear econometric modelling and business cycle analysis. He published more than 50 papers in international and national academic journals, chapters in books, as well as books on international macroeconomics and time series analysis.

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.

Tim Januschowski

Tim Januschowski is a Machine Learning Science Manager in Amazon’s AWS AI Labs. He has worked on forecasting since starting his professional career at SAP. At Amazon, he has produced end-to-end solutions for a wide variety of forecasting problems, from demand forecasting to server capacity forecasting. Tim’s personal interests in forecasting span applications, system, algorithm and modeling aspects and the downstream mathematical programming problems. He studied Mathematics at TU Berlin, IMPA, Rio de Janeiro, and Zuse-Institute Berlin and holds a PhD from University College Cork.

Pierre Pinson

Pierre Pinson is a Professor at the Technical university of Denmark, heading a group focusing on Energy Analytics & Markets. He received his M.Sc. In Applied Mathematics from INSA Toulouse, France, and a Ph.D. from Ecole des Mines de Paris, France. His main research interests are centered around the proposal and application of forecasting and decision-making approaches in the energy sector, also to support the transition towards energy systems dominated by renewable energy sources. This translates to a strong focus on probabilistic forecasting, forecast verification, high-dimensional modelling, online learning, distributed learning, stochastic optimization and game theory. He has published extensively in high-profile scientific journals in various disciplines, e.g., the Quarterly Journal of the Royal Meteorological Society, Monthly Weather Review (Meteorology and Atmospheric Sciences); Statistical Science, Statistics and Computing, Journal of the Royal Statistical Society C, European Journal of Operational Research (Statistics and Operations Research), various IEEE Transactions, Energy Economics (Energy applications), Nature, Scientific data (Open Data), and obviously the International Journal of Forecasting. He has held visiting positions at the University of Oxford (Mathematical Institute), the University of Washington (Department of Statistics), the European Centre for Medium-range Weather Forecasts (ECMWF), the Ecole Normale Supérieure (Rennes, France). In 2019, he was a Simons fellow at the Isaac Newton Institute for Mathematical Sciences (Cambridge).

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 Research Professor of Operational Research and Operations Management at Cardiff Business School, Cardiff University, where he also holds the Panalpina Chair in Manufacturing and Logistics. His research looks at how organisations can make more accurate predictions of future sales and how such predictions can help them reduce their immense investments in inventories. Such reductions contribute enormously towards financial and environmental sustainability. He has advised many (both private and public) organisations on inventory forecasting related matters and has published widely in this area in leading academic journals. Since 2006 his research has been supported, primarily, by the Engineering and Physical Sciences Research Council (EPSRC, UK) and Innovate UK, with funds exceeding £2.5 Million. He is Co-Editor in Chief of the IMA Journal of Management Mathematics (Oxford University Press) and the Supply Chain Editor of FORESIGHT, the practitioner oriented publication of the IIF. He also serves at the Executive Committee of the International Society for Inventories Research (ISIR), chairing the Inventory Forecasting Section of the Society.

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.