Max Weber Fellow, 2008-2009
Athens University of Economics and Business
Associate Professor, IPAG Business School Paris
Marie Curie Fellow, EUI ECO Department
Email Stelios.Bekiros@eui.eu / firstname.lastname@example.org
Bekiros Personal Homepage
Stelios Bekiros graduated with an MEng in Electrical and Computer Engineering from National Technical University of Athens (NTUA). He holds an MSc in Decision Sciences (Statistics, Operations Research, Information Technology) and a PhD in Econometrics from Athens University of Economics and Business (AUEB). He has more than seven years of postdoctoral research and teaching experience in many distinguished universities and research institutions, mainly in the Netherlands, Italy and Greece. He was a faculty member / research fellow at the European Institute for Statistics, Probability, Stochastic Operations Research and its Applications (EURANDOM), Technical University of Eindhoven, at the Center for Nonlinear Dynamics in Economics and Finance (CeNDEF) of the Faculty of Economics and Econometrics of the University of Amsterdam, at the Department of Economics of the European University Institute (EUI) in Florence, Italy, at the Centre of Planning and Economic Research (KEPE), at the Department of Finance (AUEB) and at the Decision Support Systems Laboratory, National Technical University of Athens. He has also worked in other research positions in the academia and as an engineering & financial expert consultant in the public and private sector.
In 2008, he was awarded the Max Weber Fellowship at the European University Institute(EUI) in Florence. The Max Weber Programme is the largest postdoctoral programme in the social sciences in the world, hosted by the EUI and funded by the European Commission (DG Education). Dr Bekiros joined the EUI with the aim of further enhancing his research skills in an international multidisciplinary environment. As an experienced researcher he was also awarded in 2010 the Marie Curie Fellowship at the EUI. In 2012 he was appointed Scientific director of a four-year European Marie Curie EC project at the AUEB. He is an assistant professor at the Athens University of Economics and Business (AUEB) and a senior fellow of the Rimini Centre for Economic Analysis (RCEA).
Stelios Bekiros has participated in numerous conferences and academic seminars and has been an invited speaker in many prestigious universities and institutions. During the last twelve years he has served as principal investigator, experienced researcher, project manager or team member in many European and national research projects (e.g., FP7, Max Weber Programme, EC Marie Curie, Netherlands organization for scientific research-NWO, EU 3rd Framework Programme, EIB, EC DG-XIII/ESPRIT, EPET-II/Hellenic Ministry of Development, Cyprus RPF/Penek etc.). His research interests include spectral and time series econometrics, economic dynamics, machine learning, optimal control, complex systems and econophysics. He acts as a referee for top journals in many scientific disciplines besides economics, and in 2010 he was given the best reviewer award by the prestigious European Journal of Operational Research (EJOR, Elsevier). He is a member of the European Area Business Cycle Network (EABCN), the Econometric Society, the Society of Financial Econometrics, the IEEE Computational Intelligence Society and the Society for Computational Economics (SCE). His work has been published in many well-known academic journals including Journal of Economic Dynamics and Control, Journal of International Money and Finance, Computational Economics, Journal of Forecasting, Computational Statistics and Data Analysis, European Journal of Operational Research, Journal of Macroeconomics, Energy Economics, Economics Letters, Empirical Economics, IEEE-Transactions on Neural Networks, Journal of International Financial Markets, Institutions and Money, International Review of Financial Analysis, Review of Financial Economics, European Journal of Finance etc., and in books and proceedings in many scientific fields.
Dr. Bekiros strongly emphasizes multidisciplinary research through applying techniques and methodologies from economic theory, physics, engineering, biology and psychology, in studying the complexity of economic and financial systems on a macro/microscopic level..