Professor Bekiros ranks at the TOP 0.3% for 2024 in the Stanford’s World TOP 2% most distinguished scientists list (John P.A. Ioannidis, 2024).

Professor Dr. Stelios Bekiros (ScholarGPS™ ID: 60455308873206) ranks as the international “Highly Ranked Scholar of Overall Lifetime Achievement” at the TOP 0.45% “Overall ALL scientific fields“. For the “Period 5 Years Prior” he ranks internationally at the TOP 0.02% “Overall Lifetime achievement in all scientific fields”. In particular, he ranks worldwide at #1 in “FX/Currency Economics” (Top 0.0%), at #53 in “Economics” (Top 0.02%) and at #148 in “Social Sciences” (Top 0.01%) field. 

Moreover, Professor Bekiros ranks at Google Scholar, IDEAS, Web of Science, Scopus among the Top 0.5% authors worldwide in the fields of “Blockchain”, “Econometrics”, “Quantum Artificial Intelligence”, “Machine Learning”, “FinTech/Finance”, “Econophysics” and “Complex Systems Science”. He ranks at the Top 2% “Economists Worldwide 2025″, according to AD Scientific Index.

Professor Bekiros obtained a Dipl.-Ing / BEng and an MEng in Electrical and Computer Engineering (spec. Artificial Intelligence, Software Engineering, Control Systems) from National Technical University of Athens (NTUA). He also holds an MSc in Decision Sciences (spec. Statistics, Financial Engineering, Operations Research and Computer Science) and a PhD in Big Data Science and Machine Learning Econometrics from Athens University of Economics and Business (AUEB). He has more than twenty five years of postdoctoral research and teaching experience in many distinguished universities, centres and research institutions, mainly in the Netherlands, Italy, France, UK 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 Hellenic Ministry of Finance, at the Centre of Planning and Economic Research (KEPE), at the IPAG Business School in Paris France, and at the Decision Support Systems Laboratory of the National Technical University of Athens. 

He has been awarded numerous prestigious Grants including the Max Weber Fellowship – the largest postdoctoral programme in the social sciences in the world hosted by the EUI and funded by the European Commission (DG Education) – three MSCA Fellowships & Awards for pioneering work in multidisciplinary research, many national grants/awards by the EU, NWO, RC-AUEB/GSRT, whilst he was appointed Scientific director of European EC projects (FP-7, H2020) in many universities and institutions.

In the past he held research and postdoctoral positions at some of the most pioneering and prestigious academic centres and institutes worldwide such as, the European Institute for Statistics, Probability, Stochastic Operations Research and its Applications (EURANDOM), the Center for Nonlinear Dynamics in Economics and Finance (CeNDEF) and the European University Institute (EUI), among other.

Professor Bekiros holds Four (4) Habilitations (ASN-MIUR) in Econometrics, Statistics, Operations Research & Mathematical Methods in Economics, Insurance & Finance, and Economic Policy. He was elected in 2019 Full Professor of Economic Statistics at the Dept. of Statistical Sciences of the University of Padova, Italy. He is Chair Full Professor of Economics at ‘Valter Cantino’ School of Management & Economics at the University of Turin (UniTo). He was Joint Chair Full Professor of FinTech/AI, Econometrics & Data Science at the Faculty of Economics & Management (FEMA) of the University of Malta, Research Full Professor at the IPAG Business School, Senior fellow of the LABEX ReFi / Financial Regulation Lab, and Senior Fellow of the LSE Health Center at the Department of Health Policy, London School of Economics (LSE). He is currently a Senior fellow at the Rimini Centre for Economic Analysis (RCEA),  ADEMU affiliated researcher at the European University Institute and senior visiting fellow. Professor Bekiros has also worked in other research positions in the academia and as an engineering & financial expert consultant in the public and private sector. 

He is the only researcher who has been awarded four (4) prestigious European Fellowships, in particular three (3) Marie Skłodowska-Curie (MSCA) Fellowships by the EU (2011, 2013, 2015) for pioneering multidisciplinary work at the intersection of many scientific fields, as well as one Max Weber Fellowship (MWP) in economics by the European Commission, hosted at the EUI (2009). Professor Bekiros strongly emphasizes multidisciplinary, interdisciplinary and trans-disciplinary research in studying the complexity of economic, social and natural systems through applying emerging novel technologies and approaches, ranging from Quantum Computing, Blockchain, Big Data Science, Machine Learning, Artificial Intelligence, Statistical Mechanics, Control Theory, Physics, Electrical Engineering, Earth Sciences, Meteorology and Seismology, up to Economics, Hypergame theory, Warfare and Military studies, Legal and regulatory studies (Ethics), Brain and Cognitive sciences, Psychology, Bioinformatics, Life Sciences, Health Policy, Biopharmaceutics, Pharmacokinetics, Neuroscience and Medicine.

Professor Dr. Stelios Bekiros is a pioneer in developing and applying new approaches in Artificial Intelligence, Machine Learning, Econophysics and Complex Systems Science in social and natural sciences. Back in 1998, under the scope of his MEng thesis, he developed a novel AI-driven genetic algorithm in conjunction with nonlinear operations research and computational game theory utilised to optimise the returns of synthetic structured derivatives’ portfolios while at the same time mitigating operational, financial and climate risks. The model was developed within the context of early attempts in deploying deregulated energy markets with heterogeneous agents, investors, speculators, arbitrageurs, institutional and regulatory stakeholders. In his MSc thesis (2001) he employed complex theory approaches, ranging from earth sciences, meteorology, climate and environmental sciences, to hydrology, structural engineering, seismology, multivariate extreme value statistics and chaotic dynamics, in building new mathematical and empirical models of superior forecastability in social, natural and physical systems. In his PhD dissertation (2004) he was one of the first early scholars to utilize mathematical biology models of self-organised fractality originating from statistical mechanics and complexity theory, in conjunction with models of inherent Heisenberg indeterminacy and stochastic uncertainty derived from quantum mechanics. The aim was to develop an integrated AI system capable of processing, forecasting and nowcasting multi-dimensional state-space and parameter big data-driven models, during crises’ outbreaks. The hybrid modeling which incorporated deep reinforcement learning (recurrent chaotic neural networks) and a robust Actor-Critic fuzzy controller, was fine-tuned by Bayesian hyper-parameter training and was deployed after pre-filtering and post-processing the data pipelines through spectral and time-scale Wavelet filters (MODWT and CWT). Some of his early pioneering works, include Bekiros et. al (2004), Bekiros et. al (2005), Bekiros (2007), Bekiros et. al (2008), Bekiros (2009), Bekiros (2010), Bekiros (2015) among other.

He has participated in numerous conferences and academic seminars and has been an invited speaker in many prestigious universities and institutions. During the last twenty five years he has served as principal investigator, project manager or team member in many European and national research projects (e.g., H2020, FP7, Max Weber Programme, EC-MSCA, 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.). Amongst many current projects he served as principal investigator in a Mega-EU Grant project implemented under the Action CL4-2022-DATA-01 of the Horizon Framework Programme for Research and Innovation (2021-2027) entitled: “Promoting and Incentivising Federated, Trusted, and Fair Sharing and Trading of Interoperable Data ASsets” (PISTIS). It comprised a consortium of 104 partners coordinated by Fraunhofer Society for the Advancement of Applied Research, which is the biggest organization for applied research and development services in Europe comprising 76 institutes and an annual research budget of €2.8 billion.

Professor Bekiros serves as expert evaluator for the NSERC (Natural Sciences and Engineering Research Council of Canada), the NSF (USA), expert evaluator for the QS Reputation Survey – QS World University Rankings, expert evaluator/vice-chair for the European Commission (EU-REA panels, Horizon programme), expert evaluator for the Swiss National Science Foundation (SNF), a WES expert for Ifo Institute (Leibniz Institute for Economic Research, University of Munich), expert project evaluator for “la Caixa Barcelona Institute” Banking Foundation, economic expert for the Bank of Finland, international expert for Paris Region Fellowship Programme (ParisRegionFP) H2020 Orientation Service de la Recherche et Culture Scientifique, and evaluator of Research for GSRT (Hellenic Ministry of Education). He has been a Visiting scholar at Cambridge University (UK), LUISS Guido Carli (Rome, Italy), Queen Mary University of London (UK), Linköping University (Sweden), University of Amsterdam (The Netherlands), European University Institute (Florence, Italy) and IPAG Business School (Paris, France).

He is Editor-in-Chief, Academic Editor, Co-Editor and Assc. Editor for more than 20 prestigious Journals: “PLOS ONE“, Plos; “Chaos, Solitons & Fractals“, Elsevier; “Economics – Innovative And Economic Research Journal“, Elsevier; “INFORMS Journal on Applied Analytics (IJAA) (formerly Interfaces)“; “Entropy” Journal; “Energy Systems”, Springer-Nature; “Journal of Economic Surveys” Wiley, “Risk Analysis“, Wiley; “Journal of Forecasting“, Wiley; “Computational Economics“, Springer; “Review of Behavioral Economics“; “Review of Behavioral Finance“; “Quantitative Finance & Economics“; “International Review of Financial Analysis“, Elsevier; “Finance Research Letters“, Elsevier; “Heliyon“, Elsevier; “Emerging Markets Finance and Trade“, Taylor & Francis; “International Review of Economics & Finance“, Elsevier; “Alexandria Engineering Journal“, Elsevier; “Forecasting” Journal; “Technology in Society”, Elsevier; “Financial Statistics Journal” etc.

His work, with presently over 320 articles, has been published in the most highly esteemed academic journals, books, collective volumes and proceedings in many scientific fields.

His research interests include among other: Quantum Machine Learning, Artificial Intelligence, Economics, Blockchain Technology, DeFi, FinTech, Big Data Science, IoT, Chaos and Econophysics, Hypergame theory, Epigenomics, Computational Medicine, Bioinformatics, Computational Econometrics, Extreme and Bayesian Statistics, Complex Systems, Quantum and Statistical Mechanics, Control Theory, Electrical Engineering, Meteorology, Earthquake science, Brain and Cognitive sciences, Health Economics, Neuroscience, Financial Engineering, Electrical Engineering, Military studies, Legal studies & Ethics and Cyber-security. He acts as a referee for top journals in many scientific disciplines aside from economics; in 2010 he was given the best reviewer award by the prestigious European Journal of Operational Research (EJOR, Elsevier), and in 2016 by the Journal of Empirical Finance (Elsevier). He is a member of the European Area Business Cycle Network (EABCN), the Econometric Society, Royal Economic Society, the European Economic Association, the Society of Financial Econometrics, the IEEE Computational Intelligence Society, INFORMS, the Society for Computational Economics (SCE), the Society for Economic Measurement (SEM) and the Rimini Centre for Economic Analysis (RCEA). He was Senior Fellow at the LSE Health Center of London School of Economics (LSE). He currently works on Quantum Chaology.

Beyond his academic profile, he holds an MMUS in music theory and guitar performance in various genres such as jazz, classical and fusion. He served in the military, specifically in armor (black berets) and artillery (blue berets) arms, where he was trained for active combatant unrestricted service I-1 (equivalent 1-A USA). He is inspired by the philosophies of all martial arts. Sensei Bekiros is an accomplished Black Belt Dan Ju-Jitsu Master (JJIF), a Mixed Martial Arts (MMA) instructor, an ISU certified Self-defense instructor by the International StreetFighting Union (ISU), and a disciple of DAS streetfighting system. He has certified seminar training in Aikido, and in advanced armed and unarmed combat Krav-Maga techniques of the Israeli elite forces’ system. During recent years, he trains in Muay Thai, Silat and Filipino martial arts.

POST-DOCTORAL MSCA FELLOWSHIPS ANNOUNCED

(Find details in the links below).

• BIOSCIENCES
• ECONOMICS/FINANCE
• COMPUTER SCIENCE/ENGINEERING
• PHYSICS
• MATHEMATICS

Send your Express-of-Interest

For further information on current research projects & collaborations, citations, refereeing, list of grants and fellowships, working papers, conferences / seminars / presentations, technical skills, workshops, membership associations, visiting positions, PhD/MSc supervisions, references etc. (more detailed CV), please use any of the email addresses provided in my contact page

Το σύνολο των γνωστικών αντικειμένων στα οποία εμπίπτει και τα οποία θεραπεύει είναι 160, και έχουν επίσημα εγκριθεί από το ΥΠΑΙΘ, στην κατηγορία/προφίλ Καθηγητή Αλλοδαπής με κωδικό ΑΠΕΛΛΑ: 35577 (π.χ, χρημ/κά αγορών χρήματος, ισοτιμιών, κεφαλαίου, παραγώγων, ομολόγων, κρυπτο-νομισμάτων κ.λπ). Οι αντίστοιχες βεβαιώσεις απασχόλησης, διδασκαλίας, διοικητικού έργου, επιβλέψεων διδ. & μεταδιδακτόρων, συμμετοχής & διοίκησης εθνικών & EU/EC έργων, είναι εγγεγραμμένες στο μητρώο των ιδρυμάτων στα οποία διατελεί καθηγητής