جست‌وجوی استاد و پژوهشگر

• Survival Analysis
• Spatio-Temporal Modeling
• Bayesian Statistics
• +۷ مورد دیگر

Maria Antonia Barceló Rado is a Professor at the Department of Economics, University of Girona, and a member of the Research Group on Statistics, Econometrics and Health (GRECS). She is also affiliated with the Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP) and collaborates with the Centre de Recerca en Economia i Salut (CRES) at Pompeu Fabra University. Her research spans methodological advancements in survival analysis, spatio-temporal modeling, Bayesian statistics , and applied work in clinical epidemiology, environmental epidemiology, cardiovascular risk factors, chronic diseases , and cancer epidemiology . She has developed a mixed-methods line combining Real World Data with Real World Evidence for epidemic prevention and detection. Licenciate in Mathematics (Universitat Autònoma de Barcelona, 1995) PhD in Mathematics (University of Girona, 2001) Accredited as Catedràtica d’Universitat (ANECA, 2018) Her recent publications focus on environmental stressors , air pollution effects , and spatio-temporal modeling across Spain. Articles address mental health in adolescents , vaccination equity , Covid-19 impacts , and chronic disease epidemiology . Collaborations include institutions like Johns Hopkins University, Pompeu Fabra University, and hospitals in Bellvitge and Barcelona.

Ian Dew-Beckerمشاهده پروفایل

دانشیار مدعو

• Asset Pricing
• Macroeconomics
• Uncertainty
• +۴ مورد دیگر

Ian Dew-Becker serves as an Adjunct Associate Professor of Finance at the University of Chicago Booth School of Business and as a Senior Economist at the Federal Reserve Bank of Chicago. His academic work centers on theoretical and empirical asset pricing and macroeconomics, with particular emphasis on uncertainty, skewness, and tail risk in economic systems. He received his PhD in economics from Harvard University and has held prior positions at Northwestern University, Duke University, and the Federal Reserve Bank of San Francisco. His educational background includes: PhD in Economics, Harvard University Dew-Becker's research explores how agents form beliefs about economic fundamentals and how these beliefs translate into asset prices and macroeconomic outcomes. He investigates the dynamics of uncertainty and skewness across business cycles, develops novel measures using options data, and examines how production networks propagate economic shocks. His work demonstrates that firm-level uncertainty does not significantly forecast aggregate output, challenging existing models, while revealing how interconnectedness can reduce sensitivity to small shocks while amplifying vulnerability to large ones. Recent studies focus on real-time skewness measurement and tail risk transmission through input-output structures. Analysis of his publication record shows a consistent focus on risk measurement and pricing across financial and macroeconomic domains. Collaborating frequently with Stefano Giglio, he has pioneered methodologies using options data to construct cross-sectional uncertainty indices and measure conditional skewness. His research demonstrates that while exchange-traded options earn negative alphas implying rising risk aversion during downturns, synthetic options show constant risk aversion, suggesting intermediary frictions drive pricing anomalies. Key contributions include establishing empirical regularities about macro skewness and demonstrating how production networks generate left-skewed economic activity. No scientific awards were mentioned in the available information. Information regarding graduate student advising, research grants, or specific funding sources was not provided in the source materials. Dew-Becker teaches the Investments course at Chicago Booth during Autumn quarters but no details about mentored students or grant-supported projects are available. Dr. Dew-Becker actively collaborates with researchers across institutions including Stefano Giglio (Yale University), Andrea Vedolin (London School of Economics), and Bryan Kelly (Yale University), forming a network focused on financial economics and macro-finance linkages. His work bridges theoretical modeling with empirical analysis of market data, particularly options markets, to address fundamental questions about risk and uncertainty in economic systems.

• Compositional Data Analysis
• Econometrics
• Financial Ratios
• +۶ مورد دیگر

Dr. Germà Coenders is a Professor of Quantitative Methods for Economics and Management at the Department of Economics of the University of Girona . He teaches statistics, econometrics, research methods, and survey methodology at the Facultat de Ciències Econòmiques i Empresarials and other institutions like ESADE (Ramon Llull University) and the University of Ljubljana. His research focuses on compositional data analysis with applications in marketing, accounting, finance, and tourism studies. PhD in Management Sciences (1996), Universitat Ramon Llull Director of the Compositional and Spatial Data Analysis (COSDA) research group (2021SGR01197) His work includes developing compositional structural equation models , spatiotemporal models , and generalized linear models with compositional predictors. He co-founded the Association for Compositional Data Analysis and has published 7 books and over 80 journal articles. Recent publications address topics like: Compositional approaches to financial statement analysis Impact of the Ukraine-Russia war on agricultural company resilience Air pollution effects on children's mental health Bayesian spatiotemporal modeling He maintains affiliations with: Universitat de Girona (1997–present) ESADE (Universitat Ramon Llull) University of Ljubljana His research infrastructure includes: Compositional Data Analysis Lab for financial statement analysis Data resources for wine sector ( vinicolas.xls ) and beer industry ( cervecera.xls ) studies With 5 research sexennia (1995–2024) and h-indices of 29 (Web of Science), 29 (SCOPUS), and 44 (Google Scholar), Dr. Coenders demonstrates sustained research productivity.

• Financial Econometrics
• Macroeconomic Forecasting
• Stochastic Volatility Models
• +۳ مورد دیگر

Maria Helena Lopes Moreira da Veiga is a Full Professor at Universidad Carlos III de Madrid, affiliated with the Macroeconomic and Financial Prediction and Analysis Research Group within the Statistics Department. Her work bridges economics, statistics, and financial engineering with focus on volatility modeling and macroeconomic forecasting. Principal investigator for geopolitical risk and financial contagion projects (2024-2026, 2019-2020) Key research areas: stochastic volatility models, energy markets, Bayesian methods, outlier detection Collaborates with institutions across Denmark, Portugal, France, Spain, and Canada Her publications demonstrate expertise in financial econometrics, particularly asymmetric volatility models and their applications in energy and stock markets. She employs advanced computational techniques like data cloning and wavelet analysis to address model uncertainty and risk measurement. Current projects focus on climate risk indices, AI-driven economic valuation, and high-dimensional time series prediction. She has received continuous funding from national agencies for uncertainty modeling in macroeconomic and financial contexts since 2006.

Elisabet Tubau Salaمشاهده پروفایل

استاد

• Probabilistic Reasoning
• Cognitive Psychology
• Decision Making
• +۳ مورد دیگر

Elisabet Tubau Sala is a Full Professor at the Universitat de Barcelona , affiliated with the Department of Cognition, Development and Educational Psychology within the Faculty of Psychology . Her research focuses on probabilistic reasoning, learning processes, and decision-making mechanisms. She has led projects funded by institutions like Spain's Ministry of Science and the Catalan Agency for Management of University and Research Grants. Education: Psychology Degree (1984) - Universitat de Barcelona Doctorate (1987) - Universitat de Barcelona Recent Research Themes: Cognitive mechanisms behind Bayesian problem-solving challenges Role of visual aids in improving risk comprehension Educational interventions targeting causal reasoning biases Perceived severity effects in medical judgments Multi-object tracking models integrating speed/position data Cognitive control in math-anxious individuals Key Projects (2017-2024): 3D Space Updating from Optical Flow (PID2020-114713GB-I00) Vision and Action Control (VISCA) research group (2017-2021) Teaching Activities (Past 5 years): Cognitive Numeracy and Numerical Processing Disorders (Undergraduate) Perception, Action & Consciousness (Master's) Thinking & Problem Solving (Undergraduate) Her work bridges cognitive psychology with educational applications, emphasizing probabilistic reasoning's role in real-world decision contexts.

José E. Chacónمشاهده پروفایل

استاد

• Nonparametric Kernel Smoothing
• Cluster Analysis
• Mathematical Statistics
• +۳ مورد دیگر

José E. Chacón is a Professor of Statistics at the Department of Mathematics, University of Extremadura, Spain. He is also a member of the Institute of Mathematics at the same university. His research focuses on nonparametric kernel smoothing, cluster analysis, and mathematical statistics. He earned his PhD in Statistics from the University of Extremadura in 2004. Chacón’s work emphasizes methodological advancements in density estimation, clustering algorithms, and statistical theory. His recent publications address topics like geodesic distributions, Bayesian taut splines for mode estimation, and bump detection via density curvature. He has contributed to applied areas such as animal home range estimation and data science for pandemic analysis. His articles often explore cross-validation techniques, bandwidth selection, and mixture model clustering. He co-authored the textbook Multivariate Kernel Smoothing and Its Applications (2018), consolidating his expertise in kernel-based methods. Chacón’s research bridges theoretical statistics with practical applications, influencing both academic and applied domains.

• Survival Analysis
• Spatiotemporal Modeling
• Mixed Models
• +۵ مورد دیگر

Maria Antonia Barcelo Rado is a Professor in the Department of Economics at the University of Girona , where she has been a full professor since 2003. She obtained her Mathematics degree from the Autonomous University of Barcelona (1995) and PhD in Mathematics from University of Girona (2001), with ANECA accreditation since 2018. Her academic activities include teaching statistics and econometrics at the Faculty of Economic and Business Sciences , plus serving as a visiting professor at Pompeu Fabra University (2004-2005) and teaching collaborator at Open University of Catalonia since 2005. Education : Mathematics Degree (UAB, 1995) PhD in Mathematics (UdG, 2001) ANECA Accreditation (2018) Her research focuses on methodological developments in survival analysis, spatiotemporal modeling, mixed models, and Bayesian statistics, combined with applied research in clinical epidemiology (ALS, cardiovascular risk), environmental epidemiology, health inequalities, and cancer epidemiology. She leads Real World Data initiatives through the Alt Empordà Health & Social Observatory and contributes to epidemiological modeling of pandemics and chronic diseases. Recent publications demonstrate her expertise in environmental health impacts (air pollution, heatwaves), statistical methodology (compositional regression, spatiotemporal modeling), and health policy analysis (vaccination inequities, chronic disease management). She maintains active collaborations with CIBERESP , CRES , and clinical research units in Barcelona and Girona.

• Artificial Intelligence
• Wireless Communications
• Machine Learning
• +۵ مورد دیگر

Giovanni Geraci is a Tenured Professor at the Department of Information and Communications Technologies, Universitat Pompeu Fabra. Specializing in applying AI/ML to wireless communications, he focuses on GenAI for data augmentation and LLMs for telecom applications. His expertise spans 5G/6G cellular and Wi-Fi (IEEE 802.11be/bn) technologies, informed by roles at Nokia Standards, Telefónica, and Bell Labs. He holds the IEEE Communications Theory Early Achievement Award (2023) and the IEEE Outstanding Young Researcher Award (2018). Research interests include AI-driven network design, UAV communications, and next-generation wireless standards. He has authored over 100 publications, including Best Paper Awards at IEEE ICC (2025), Globecom (2022), and PIMRC (2019). Geraci has led academic roles like Head of Telecommunications Engineering and is an IEEE Distinguished Lecturer, delivering over 100 keynotes globally. He created the IEEE course 'Fundamentals of Wi-Fi' and teaches Signals and Systems, praised for his 'fantastic, passionate, and supportive' teaching style. Geraci’s work bridges academia and industry, addressing challenges in cellular networks for UAV corridors, millimeter-wave channel modeling, and integrated terrestrial/non-terrestrial networks. His recent research explores AI/ML applications for 6G, Wi-Fi 7/8, and data-driven optimization of telecom infrastructure.

• Quantitative Methods
• Computational Finance
• Bayesian Statistics
• +۹ مورد دیگر

Cristian González Martel is a full Professor at the Department of Quantitative Methods in Economics and Management, University of Las Palmas de Gran Canaria. He leads multiple research projects analyzing tourism markets, financial systems, and complex network applications through big data and Bayesian statistical techniques. Current research focuses on maritime connectivity, international trade, and environmental emissions (2024) Developing tourism intelligence platforms for Gran Canaria (2023) Maintaining tourism data dashboards for Lanzarote (2022) His work integrates machine learning with economic modeling, particularly in foreign exchange markets and health economics. Projects demonstrate consistent application of spatial interaction models, complex network analysis, and optimization techniques across regional and international contexts. Key collaborations include agreements with the Inter-American Development Bank and Canary Island regional governments. Current email contact: christian.gonzalez@ulpgc.es

• Quantitative Methods for Economics and Business
• Bayesian Statistics
• Decision Analysis
• +۳ مورد دیگر

Rafael Ricardo Suárez Vega is a University Professor at the University of Las Palmas de Gran Canaria (ULPGC) affiliated with the Institute of Tourism and Sustainable Economic Development and the Department of Quantitative Methods in Economics and Management. His research focuses on Bayesian statistics, decision-making statistical techniques, and quantitative methods for economic and business applications. Doctoral Thesis Advisor: 2014 (José Luis Gutiérrez Acuña) Doctoral Thesis: "El (rlXp) - medianoide incorporando criterios de atracción" (2001) He is a member of the GIR TIDES research group, specializing in Bayesian and decision-making statistical techniques. His activity indicators include ORCID 0000-0002-1926-3121, Scopus ID 56606361200, and ResearcherID K-9982-2014.

• Bibliometrics
• Scientometrics
• Open Access Research
• +۳ مورد دیگر

Pablo Dorta González is a Full Professor at the University of Las Palmas de Gran Canaria, Spain. He is affiliated with the Bayesian Statistical and Decision-Making Techniques in Economics and Business research group. His current teaching responsibilities include courses on Business Mathematics and Quantitative Methods for undergraduate students, as well as a Research Training Program for doctoral candidates. His research focuses on two primary areas: 1) Mathematical Methods in Economics, particularly facility location analysis, and 2) Quantitative Studies of Science, emphasizing bibliometric indicators for research evaluation. He has authored/co-authored over 70 peer-reviewed articles and books, including influential works on open access citation advantages, citation normalization, and policy research impact assessment. Key contributions include developing topic-normalized impact factors and analyzing the societal impact of research through Altmetric and Overton metrics. His work frequently examines open access modalities, collaboration effects, and funding influences on research impact. He has participated in numerous research projects funded by national and regional agencies, including studies on student evaluation competencies and digital literacy. Notable grants include projects on citation concentration modeling (2024) and SDG-funded research impact (2023). His lab focuses on interdisciplinary applications of Bayesian techniques and has collaborated with institutions across Europe and Latin America. Recent work explores AI adoption barriers in academia and the differential societal attention given to researchers based on gender and field.

Benedetto Molinariمشاهده پروفایل

دانشیار

• Macroeconomics
• Technological Change
• Fiscal Policy
• +۳ مورد دیگر

Benedetto Molinari is an Associate Professor at the Department of Economic Theory within the Faculty of Economics and Business Sciences at the University of Granada. His research focuses on dynamic macroeconomics, technical change, automation, and fiscal policy. He holds a PhD in Economics from Universitat Pompeu Fabra and teaches courses in advanced and undergraduate macroeconomics in English. His research explores topics such as wage distribution effects of automation, fiscal sustainability, and the integration of national accounting frameworks into macroeconomic models. He is affiliated with the Outstanding Group in Economic Theory and the THE-Motiva Grant research initiatives. Publications highlight his work on DSGE modeling, technological change impacts, and inflation dynamics. He co-leads the Experimental Lab (Smart Decision Lab) and contributes to interdisciplinary research on space economics and policy. Teaching responsibilities include Advanced Macroeconomics, Undergraduate Macroeconomics, and Graduate Macroeconomics courses, emphasizing both theoretical frameworks and practical applications through tools like Sankey diagrams for economic visualization.

• Machine Learning
• Bandit Algorithms
• Reinforcement Learning
• +۲ مورد دیگر

Hamish Flynn is a Researcher in the Department of Engineering Artificial Intelligence and Machine Learning. His work focuses on developing advanced algorithms for sequential decision-making systems, with a strong emphasis on theoretical guarantees and practical implementations. His research interests span several core areas of machine learning: Bandit algorithms (contextual, linear, and multi-armed variants) PAC-Bayesian theory and applications Reinforcement learning systems Online optimization under uncertainty Statistical learning theory Flynn's recent publications (2022-2025) demonstrate consistent focus on improving sequential learning methods. Key research themes include: non-iid noise modeling in bandits, confidence bound optimization for sequential regression, sparse nonparametric methods, and hardware-efficient machine learning implementations. His work frequently combines theoretical frameworks (PAC-Bayes, martingale theory) with practical applications in reinforcement learning and adaptive systems. No scientific awards, students advised, grant activities, or lab affiliations are mentioned in the available information.

• Psychometrics
• Structural Equation Modeling
• Alcohol Consumption in Adolescents
• +۵ مورد دیگر

Begoña Espejo Tort is a Full Professor in the Methodology of Behavioral Sciences department at the Faculty of Psychology and Speech Therapy , University of Valencia. Her research focuses on psychometric validation of scales, structural equation modeling, adolescent alcohol consumption analysis, and preventive program evaluation. Current academic affiliation: University of Valencia Research groups: PSY-HEALTH, SPORT&WB Her recent publications address cross-cultural scale validation, including work on vaccination attitudes, chronic pain misbeliefs, and well-being measurement. Articles cover topics like: Psychometric properties of scales across 13 countries Measurement invariance analysis by gender/age Well-being assessment in diverse populations Vaccination hesitancy and fear of disease Alcohol consequence assessment in youth Key collaborations include international teams in Vietnam, Colombia, Chile, and Spain. No scientific awards explicitly mentioned in available texts.

Rocio Álvarez Arandaمشاهده پروفایل

استادیار

• Time Series Analysis
• Econometric Modeling
• Forecasting
• +۳ مورد دیگر

Dr. Rocio Álvarez Aranda is an Assistant Professor in the Department of Applied Economics at the University of the Balearic Islands' College of Economics and Business. With a PhD in Economics (University of Alicante, 2012) and a BSc in Mathematics (University of Malaga, 2004), she has extensive teaching experience across multiple institutions including Universidad Autónoma de Barcelona, Universidad de Santiago de Chile, and Universidad Adolfo Ibáñez. PhD in Economics, University of Alicante (2012) BSc in Mathematics, University of Malaga (2004) Her research focuses on econometric analysis of time series, unobservable factor modeling, and forecasting methodologies. She has published in top-tier journals like International Journal of Forecasting , Journal of Business & Economic Statistics , and Economics and Human Biology , with methodological work on Markov-switching models and empirical studies examining seismic activity impacts on fetal development. Recent publications reveal trends in dynamic factor models, Markov-switching autoregressive frameworks, and interdisciplinary applications of econometrics to public health and macroeconomic forecasting. She contributes to the Econometría y Ciencia de Datos (ECD) research group while maintaining expertise in MATLAB, Stata, Eviews, and LaTeX. Fondecyt Iniciación Fellowship (2018-2021) CIP16013 Research Fellowship (2016-2018) FPI Scholarship (2008-2012) Doctoral Fellowship (2006-2008) She supervises final degree projects across economics, tourism, and business programs while teaching courses like Introduction to Econometrics and Massive Data Econometrics. Her academic collaborations span institutions in Spain, Chile, and the UK.