جست‌وجوی استاد و پژوهشگر

• Emotional Intelligence
• Psychology of Education
• Adolescent Development
• +۱۲ مورد دیگر

Ana Costa is an Invited Assistant Professor at the Faculty of Philosophy and Social Sciences, Universidade Católica Portuguesa, where she actively contributes to research through the Centre for Philosophical and Humanistic Studies (CEFH). Her work is interdisciplinary, bridging psychology, education, and human development, with a strong focus on emotional intelligence, adolescent well-being, and academic outcomes. Faculty of Philosophy and Social Sciences, Universidade Católica Portuguesa Researcher, Centre for Philosophical and Humanistic Studies (CEFH), 2020–2025 Her research interests center on emotional intelligence, subjective well-being, psychometrics, and educational psychology. She investigates how traits like emotional intelligence, mindset, and cultural orientation (individualism vs. collectivism) influence academic achievement and personal development during adolescence. Her methodological approaches include longitudinal analysis, cluster analysis, and systematic reviews, often using self-report data from secondary school students. The recent body of her publications reveals a consistent focus on the psychological and educational dimensions of adolescence. Key themes include the developmental trajectories of emotional intelligence, the determinants of academic success, and the relationship between education and happiness. Her work also explores teacher well-being in Portuguese schools abroad, showing a broad interest in educational systems and stakeholder well-being. Emotional Intelligence Subjective Well-Being Academic Achievement Adolescent Development Psychometrics Longitudinal Analysis Mindset Research Teacher Well-Being Cultural Psychology Educational Policy Ana Costa is actively engaged in collaborative research, frequently co-authoring with scholars such as Luísa Faria, Paula C. Dias, and others within the CEFH network. She has not received any explicitly mentioned scientific awards, but her work is published in peer-reviewed journals and academic encyclopedias. She advises or mentors students indirectly through project participation, though no direct advisees are listed. She is involved in a major research project on adolescence, psychology, and education, contributing to systematic reviews and empirical studies. She is affiliated with the Centre for Philosophical and Humanistic Studies (CEFH), a research center fostering interdisciplinary inquiry into philosophical, psychological, and social aspects of human life. The center supports a vibrant community of researchers, students, and faculty, promoting collaborative and impactful scholarship.

Claudio Tebaldiمشاهده پروفایل

دانشیار

• Financial Economics
• Derivative Pricing
• Risk Management
• +۴ مورد دیگر

Claudio Tebaldi is an Associate Professor at Università Bocconi , specializing in financial economics and quantitative methods. He serves as Managing Editor of Quantitative Finance and has collaborated with institutions including UCLA, NYU, the Federal Reserve Board, and ECB. Education : Ph.D. in Statistical Mechanics from SISSA; Master in Economics and Finance from Venice International University His research spans financial economics (asset/derivative pricing, risk management) and mathematical/physical sciences (complexity theory, collective phenomena). He employs advanced statistical methods like machine learning and big data analysis to develop decision rules for uncertain environments. Key publication themes include computational finance (2025), pension economics (2024), network-based financial contagion (2024), and optimal trading algorithms (2024). Earlier works focus on econometric theory (2023) and risk measurement frameworks (2022). Scientific Recognition : Excellence in Research Award (2023), Best Paper in Derivatives (NFA 2019), Best Paper (Swiss Econometrics and Finance Society meeting 2007)

Pedro Duarte Silvaمشاهده پروفایل

دانشیار

• Statistical Modeling
• Discriminant Analysis
• Interval Data Analysis
• +۱ مورد دیگر

Pedro Duarte Silva is an Associate Professor at Católica Porto Business School, Universidade Católica Portuguesa. His research focuses on statistical methods for distributional and interval data, developing parametric models and classification techniques. Recent work includes developing the MAINT.Data R package for interval data analysis and investigating outlier detection methodologies. As part of the Research Center in Management and Economics (CEGE), he contributes to methodological advances in data analysis with applications to management science. Current projects examine optimization approaches for classification problems and symbolic data analysis for official statistics.

Alexandra Bugalho De Mouraمشاهده پروفایل

دانشیار

• Actuarial Science
• Optimal Reinsurance
• Climate Risk Analysis
• +۳ مورد دیگر

Alexandra Bugalho De Moura is an Associate Professor of Statistics and Actuarial Sciences at the Department of Mathematics, ISEG-University of Lisbon. She coordinates curricular units in Actuarial Sciences, Statistics, and Data Analysis, and leads the Master's in Actuarial Sciences program. Her academic journey includes a PhD in Mathematical Engineering from Politecnico di Milano (2007), a BSc in Applied Mathematics and Computing from IST, University of Lisbon (2001), and a Master’s in Actuarial Sciences from ISEG (2018). Her research focuses on actuarial sciences, particularly optimal reinsurance with dependencies, and climate risk analysis using climate and insurance loss data. Previously, she contributed to computational hemodynamics modeling cerebral aneurysms and blood flow dynamics. She has led an FCT-funded project on optimal reinsurance and supervised over 30 master’s theses in actuarial risk theory and data science applications. Professional experience includes roles as Post-Doctoral Fellow at CEMAT (2007–2014) and teaching positions since 2000. She has published extensively in top journals like European Actuarial Journal and Computer Methods in Biomechanics and Biomedical Engineering , with over 20 peer-reviewed articles and book chapters. Her work bridges mathematical rigor with practical applications in insurance risk modeling, climate-related financial risks, and biomedical engineering. Current research explores dependencies in reinsurance treaties and climate-driven insurance loss patterns.

Emanuele Borgonovoمشاهده پروفایل

استاد

• Sensitivity Analysis
• Decision Analysis
• Risk Analysis
• +۳ مورد دیگر

Emanuele Borgonovo is a Full Professor and Director of the Department of Decision Sciences at Bocconi University. He serves as a Research Affiliate at MIT's Department of Nuclear Science and Engineering, co-editor-in-chief of the European Journal of Operational Research , and advisor for the Springer International Series in Management Science and Operations Research. His leadership roles include President of the Decision Analysis Society of INFORMS (2020-2022) and Co-Chair of the ESRA Technical Committee on Uncertainty Analysis. Affiliation: Bocconi University Collaboration: MIT, NASA, DARPA, Idaho National Laboratory, EDF His research focuses on Sensitivity Analysis, Decision Analysis, Risk Analysis, and Uncertainty Quantification. He pioneered techniques like the differential importance measure, now adopted in NASA's PRA Guide. Recent work explores explainable AI via Shapley values and optimal transport methods for sensitivity analysis. 2025: Explainable risk assessment modeling 2025: Sensitivity analysis of climate models 2024: AI impact on job markets Scientific honors include: Excellence in Research Award (2020) IBM Faculty Award (2015) Best Risk Analysis Paper Award (2014) Multiple Best Reviewer Awards (2006-2022) At SDA Bocconi, he leads the Artificial Intelligence and Data Science for Executives program and taught in MBA/DBA courses. His work has been supported by grants from US Department of Energy, NASA, and Electricité de France.

Paulo M. M. Rodriguesمشاهده پروفایل

استاد

• Time-series econometrics
• Financial econometrics
• Empirical macroeconomics
• +۷ مورد دیگر

Paulo M. M. Rodrigues is a Full Professor at the Nova School of Business and Economics, Universidade Nova de Lisboa , and a senior research economist at the Department of Economic Studies, Bank of Portugal , where he has been employed since 2008. He previously served as Associate Professor and held leadership roles including vice-dean and dean at the Faculty of Economics, University of Algarve. Education Agregação, University of Algarve (2015) PhD in Econometrics, University of Manchester (1998) Masters in Economics and Econometrics, University of Manchester (1995) Degree in Business Management, University of Algarve (1993) His primary research interests lie in time-series econometrics, financial econometrics, and empirical macroeconomics and finance . His work emphasizes methodological innovation in nonstationary and seasonal time series, long memory processes, predictive regression, and quantile-based modeling. He has made significant contributions to the development and application of unit root tests, cointegration analysis, and forecasting techniques under structural breaks and heteroskedasticity. The recent trends in his publications show a strong focus on advanced econometric methods, including IVX and residual-augmented approaches for predictive regression, fractional integration in multivariate settings, tail risk modeling in financial markets, and applications in tourism and labor economics. His work frequently appears in top journals such as the Journal of Econometrics , Econometric Theory , and Review of Economics and Statistics . Editorial and Professional Service Serves on the editorial board of several scientific journals. Advising and Grants While specific details on PhD students or grant funding are not provided in the text, his extensive collaborative research—particularly with scholars like Matei Demetrescu, João Nicolau, and A.M. Robert Taylor—indicates a strong record of academic mentorship and collaborative research leadership. His position at the Bank of Portugal also suggests involvement in policy-relevant research projects and potential funding from central bank or national research agencies. Laboratories and Research Teams He is affiliated with the Economics and Research Department at the Bank of Portugal, a leading institution for economic research in Portugal. This affiliation provides a collaborative environment for empirical macroeconomic and financial research with policy implications.

Claudia Martins Antunesمشاهده پروفایل

دانشیار

• Data Science
• Temporal Data Mining
• Association Rule Mining
• +۴ مورد دیگر

Claudia Martins Antunes is an Associate Professor at the Department of Computer Engineering, Instituto Superior Técnico, Universidade de Lisboa. Her work focuses on data mining, pattern discovery, and knowledge integration across diverse domains including healthcare, education, and bioacoustics. Primary Affiliation: Instituto Superior Técnico, Universidade de Lisboa Academic Role: Associate Professor Research Interests: Claudia specializes in data mining methodologies that incorporate domain knowledge, with particular emphasis on temporal data analysis and structured pattern mining. Her research spans healthcare analytics, educational data modeling, and multi-dimensional pattern discovery. Temporal data mining Constraint-based pattern discovery Knowledge-driven data analysis Healthcare data repositories Publication Trends: Claudia's work demonstrates consistent innovation in pattern mining techniques applied to healthcare and educational contexts. Recent publications focus on blockchain data analysis, urban planning applications, and advanced feature engineering methods, while earlier works established foundations in student modeling and sequential pattern mining. Teaching Activities: She teaches courses in Programming for Data Science, Data Science fundamentals, and Computer Engineering, alongside supervision of integrative projects in Industrial Engineering and Management.

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Remote Sensing
• +۱۲ مورد دیگر

João Pedro Matos-Carvalho is an Assistant Professor at Lusófona University in Lisbon, affiliated with the School of Engineering and the Department of Electrical and Computer Engineering. He is also an Integrated Member of the Center of Technology and Systems (CTS) at UNINOVA and COPELABS, Lusófona University, contributing to interdisciplinary research in robotics and intelligent systems. Ph.D. in Electrical and Computer Engineering, FCT NOVA (2021) M.Sc. (Hons.) in Electrical and Computer Engineering, FCT NOVA (2017) His research focuses on aerial robotics, machine learning, remote sensing, and sensor networks, with applications in UAV navigation, precision agriculture, environmental monitoring, and embedded AI. He has made significant contributions to GPS-denied navigation, multispectral imaging, and AI-driven signal processing. The recent publications reflect a strong trend in integrating deep learning with real-world engineering systems, particularly in UAV autonomy, IoT, and human-centric applications like fall detection and online learning analysis. His work spans algorithm design, software development, and practical deployment in complex environments. Best Paper Award at IEEE Conference (2018) Distinguished Paper Award by LASIGE at FCUL (2021) Best Poster Presentation Award at International Complex Systems and Their Applications Conference (2023) He has secured the competitive Scientific Employment Stimulus (CEEC) grant from FCT and has advised or collaborated on multiple research projects. He has guest-edited special issues in journals such as Drones and Frotiers in Computer Science , and serves as a reviewer for leading scientific journals. He leads the development of open-source tools like AutoNAV and Raster Forge, supporting simulation and geospatial analysis. He is actively involved in research teams at CTS-UNINOVA and COPELABS, focusing on intelligent systems, aerial robotics, and data fusion. His lab work emphasizes practical UAV platforms, sensor integration, and AI deployment in real-time systems.

• Mixture Models
• Longitudinal Data Analysis
• Optimization Methods
• +۲ مورد دیگر

Graça Trindade serves as Assistant Professor in the Department of Quantitative Methods for Management and Economics at Iscte. She holds a PhD in Quantitative Methods from ISCTE-IUL and brings expertise in statistical modeling and data analysis. Her research focuses on: Advanced mixture models for longitudinal data Optimization techniques in business contexts Multivariate statistical approaches Teaching responsibilities include courses in Market Segmentation Methodologies, Data Analysis for Business Intelligence, and Exploratory Data Analysis at both undergraduate and graduate levels. She frequently serves as course coordinator for quantitative methods courses.

• Econometrics
• Econophysics
• Financial Markets
• +۳ مورد دیگر

Andreia Teixeira Marques Dionísio is an Associate Professor with Habilitation at Universidade de Évora and serves as Vice-Director of CEFAGE (Centro de Estudos e Formação Avançada em Gestão e Economia), a prominent research center focused on management and economics. Her academic career demonstrates deep engagement in quantitative financial analysis, econophysics, and market dynamics research. She holds a Ph.D. in Management from ISCTE (2006), an M.Sc. in Organization and Information Systems from Universidade de Évora (2001), and a B.A. in Business Management from Universidade de Évora (1997). Her educational background provided the foundation for her interdisciplinary research approach that bridges traditional economics with physics-inspired methodologies. Dionísio's research primarily focuses on Econometrics, Econophysics, and Financial Markets , with significant contributions to understanding cryptocurrency dynamics, energy market relationships, and nonlinear dependencies in global financial systems. Her work frequently applies innovative methodologies including entropy analysis, mutual information, and detrended fluctuation analysis to address complex financial phenomena. Recent research has explored the intersection of geopolitical events with financial markets, cryptocurrency volatility patterns, and the application of statistical physics to financial time series analysis. Her publication record shows a clear evolution toward increasingly sophisticated analyses of financial market interconnections, with recent work emphasizing cryptocurrency markets, energy-finance linkages, and the application of econophysics approaches to traditional financial questions. The research demonstrates methodological diversity while maintaining focus on understanding market efficiency, risk transmission, and nonlinear dependencies. Dionísio has successfully supervised numerous graduate students through their academic journeys, demonstrating commitment to academic mentorship and knowledge transfer. Her research projects, including 'Grampcity: Inovstone 4.0' and 'Exploration of Entropy on Decision Models,' reflect practical applications of theoretical frameworks to real-world economic challenges. She actively participates in research teams and collaborates on interdisciplinary projects that bridge economics, physics, and data science methodologies. Her work with CEFAGE positions her at the forefront of innovative economic research in Portugal, contributing to both theoretical advancements and practical applications in financial market analysis.

• Macroeconomics
• Fiscal Policy
• Monetary Policy
• +۵ مورد دیگر

Vivaldo Manuel Pereira Mendes is an Associate Professor in the Department of Economics at the University Institute of Lisbon (ISCTE-IUL), where he has been teaching since 1998. He is also an Affiliate Member of BRU-Iscte - Business Research Unit within the Institute of Social Sciences and Business Studies. His educational background includes a PhD in Economics from the University of Sussex (1998), a Master's degree in Economics from the University of Sussex (1991), and a Bachelor's degree in Economics from the Higher Institute of Economics and Management - UTL (1987). Mendes has held significant university leadership positions including Vice-Rector (2005-2009), President of the General Assembly (2002-2005), and Director of the Department of Economics (2010-2014). He has taught diverse courses spanning macroeconomics, microeconomics, game theory, monetary economics, and computational economics. His research portfolio demonstrates a clear evolution from theoretical macroeconomics and monetary policy toward computational economics and machine learning applications. Recent publications (2019-2024) show a strong focus on applying deep learning techniques to financial forecasting, particularly examining how data frequency impacts prediction accuracy across global markets. Mendes has published in high-impact journals including Physica A (Q1), European Physical Journal B (Q1), and Economics Bulletin (Q2), with his 2005 paper on controlling chaotic dynamics in economic models receiving 23 Google Scholar citations. He has also contributed to book chapters on spatial econometrics and optimal monetary policy. A committed advocate of open-source software, Mendes actively contributes to the Julia programming language community and maintains a personal website showcasing his academic work and computational projects.

• Process Systems Engineering
• Biotechnological Applications
• Chemical Engineering
• +۶ مورد دیگر

Eugénio Campos Ferreira is a Full Professor at the Department of Biological Engineering, University of Minho. He served as Vice-Rector for Research & Innovation (2019-2025) and held leadership roles at TECMINHO and CENTI. His research focuses on Process Systems Engineering in biotechnological, chemical, and environmental applications, with expertise in bioprocess modeling, systems biology, image analysis, and chemometrics. PhD in Chemical Engineering (1995, University of Porto) Habilitation in Chemical & Biological Engineering (2004, University of Minho) Postdoctoral research at Universitat Autònoma de Barcelona (1997-1998) Research Interests include: Bioprocess Monitoring & Control Metabolic Engineering Environmental Biotechnology Microbial Community Analysis Systems Biology Applications Scientific Contributions from 15 recent publications span wastewater treatment optimization, pharmaceutical removal mechanisms, genome-scale metabolic modeling (merlin platform), and industrial biotechnology. His work integrates quantitative image analysis with chemometric tools for environmental process monitoring. Leadership Roles encompass directing the Centre of Biological Engineering (2016-2020), coordinating MIT Portugal's PhD Program in Bioengineering, and participating in 60+ international conference committees.

• Supply Chain Management
• Business Analytics
• Operations Research
• +۳ مورد دیگر

João Nuno Gonçalves is a full-time Invited Assistant Professor in Data Science at Universidade Católica Portuguesa (UCP) and a Researcher at CEGE - Research Centre in Management and Economics, Católica Porto Business School. He also holds academic positions at the University of Porto and University of Minho. He earned his PhD in Industrial and Systems Engineering (Business Analytics) from the University of Minho in 2021, following a Master's (1st in class) and Bachelor's in Mathematics (Top 10%). His research focuses on business analytics models for improving supply chain management (SCM), including demand forecasting and sequential decision-making. His work has been recognized with awards such as the Logistics Excellence Award Academy 2022 (APLOG) and multiple pedagogical merit distinctions. He coordinates the BSc in Applied Data Science and serves on the board of the Institute of Computing and Data Science at UCP. Research interests span decision support systems, supply chain optimization, and operations research. He actively contributes to academic success through predictive modeling and has supervised research in warehouse operations and fraud management. He participates in projects like UCP4SUCCESS (2024-2026) and reviews for journals like Computers and Operations Research and Journal of Purchasing and Supply Management . Education: PhD in Industrial and Systems Engineering (2017–2021), University of Minho Master's in Systems Engineering (2015–2017), University of Minho Bachelor's in Mathematics (2012–2015), University of Minho His pedagogical excellence is highlighted by six awards for teaching in Operations Research and Supply Chain Management. Research collaborations extend to logistics, automotive industries, and cybersecurity, emphasizing practical implementation of analytics.

José Filipe Rafaelمشاهده پروفایل

استادیار مدعو

• Operations Management
• Data Science
• Project Management
• +۱ مورد دیگر

José Filipe Rafael is an Adjunct Assistant Professor at CATÓLICA-LISBON, Catholic University of Portugal, where he teaches courses in Multivariate Data Analysis and Project Management. He holds leadership roles as Deputy Director for Executive Education and Director for Africa at CATÓLICA-LISBON, and coordinates the PAGAP - Advanced Program in Management and Project Evaluation and the PGG - General Management Program. MSc in Operations Research and Systems Engineering from IST (UTL) MBA from UNL Graduated in Economics from Catholic University of Portugal His scientific areas focus on Operations and Data Science, with practical applications in project management and executive education programs. Rafael combines academic teaching with leadership roles in institutional development and program coordination.

Raffaella Piccarretaمشاهده پروفایل

دانشیار

• Sequence Analysis
• Life Course Trajectories
• Categorical Longitudinal Data
• +۳ مورد دیگر

Raffaella Piccarreta is an Associate Professor of Statistics at Bocconi University. Her primary affiliations include: Dondena Centre for Research on Social Dynamics and Public Policy (fellow) Bocconi Institute for Data Science and Analytics (BIDSA) (fellow) CovidCrisis Lab (fellow) Italian Statistics Society (SIS) (member) Sequence Analysis Association (SAA) (member and Executive Committee) Her educational qualifications are: Degree in Economics and Social Sciences (DES), Università Bocconi PhD in Statistics, University of Trento Dr. Piccarreta's research centers on data analysis with a focus on life course trajectories and events. She specializes in Sequence Analysis for identifying patterns in categorical longitudinal data, developing methodologies for clustering sequences and analyzing fuzzy clusters. Her recent work addresses COVID-19 data analysis and demographic applications. Her 2022-2025 publications demonstrate methodological innovation in sequence analysis, including tools for fuzzy cluster analysis, deviant case identification in sequence clusters, and life course applications in fertility and women's patterns. Key contributions span demography, computational social science, and statistical methodology. No scientific awards were mentioned in the provided text. No information regarding student advising or research grants was provided. She actively contributes to research initiatives at: Dondena Centre: Social dynamics and public policy research BIDSA: Data science and analytics projects CovidCrisis Lab: Coronavirus crisis data analysis and modeling