جستجوی استاد راهنمای دانشگاهی

• Financial Econometrics
• Market Microstructure
• Nonlinear Filtering
• +۷ مورد دیگر

Giuseppe Buccheri serves as an Associate Professor of Econometrics (13/ECON-05) in the Department of Economics at the University of Verona since 2024. Previously, he held positions as senior assistant professor (RTDB) at the same department and junior assistant professor (RTDA) at the Department of Economics and Finance of University of Rome Tor Vergata. His academic appointments include membership on the Faculty Board of PhD in Economics and Finance, Collegio didattico di Economics and Data Analysis, Research Commission, and Economics Department Council. His educational background features a PhD in Financial Mathematics from Scuola Normale Superiore, an MSc in Finance from Bocconi University, and an MSc in Theoretical Physics from the University of Catania. This interdisciplinary foundation supports his research at the intersection of financial theory, statistical methods, and economic applications. Dr. Buccheri's research focuses on advanced econometric techniques for financial markets, particularly in Financial Econometrics, Market Microstructure, Nonlinear Filtering, and Financial Economics. His work addresses critical challenges in time-series analysis, model validation, volatility estimation, and portfolio optimization. The JEL classifications of his research span C32 (Time-Series Models), C52 (Model Evaluation), C58 (Financial Econometrics), and G11 (Portfolio Choice). His recent publications demonstrate a strong trend toward developing sophisticated statistical methods for high-frequency financial data analysis, with particular emphasis on score-driven models, realized volatility/covariance estimation, and handling market microstructure effects. These contributions advance the field by addressing measurement errors, asynchronous trading, illiquidity effects, and model identification challenges in modern financial markets. As an educator, Dr. Buccheri teaches Financial Econometrics, Quantitative Methods for Business and Economics, and Time Series and Forecasting across multiple graduate programs including Master's degrees in Banking and Finance and Economics and Data Analysis, as well as PhD courses in Financial Time Series. He serves on various academic committees related to research, teaching, and PhD program governance. His research activities connect with several institutional resources including CIDE (Centro Interuniversitario di Econometria) and the broader econometric research community at the University of Verona. His work contributes significantly to the department's research profile in quantitative methods for economics and finance.

• Multivariate Time Series Analysis
• Non-Parametric Statistics
• Financial Networks
• +۵ مورد دیگر

Lorenzo Frattarolo is a Tenure-track Assistant Professor at the Department of Economics of the University of Verona since 2023. His academic journey includes positions as a researcher at the Joint Research Center of The European Commission in the Economy and Finance unit, and as a postdoctoral researcher at Ca' Foscari University of Venice and Goethe University of Frankfurt. Dr. Frattarolo holds a joint PhD in Applied Mathematics/Economics from Paris 1 and Ca' Foscari, and a MSc in Theoretical Physics from the University of Rome La Sapienza. His academic credentials reflect a strong quantitative background that informs his research approach. His research focuses on advanced statistical and econometric methodologies with applications in finance and economics. Key areas include Multivariate Time Series Analysis, Non-Parametric Statistics, Financial Networks, and Forecasting. His work bridges theoretical statistical development with practical financial and economic applications, particularly in risk modeling and economic forecasting. Frattarolo's publications span top journals in econometrics and statistics, demonstrating expertise in copula methods, financial network analysis, and economic forecasting techniques. His recent work has addressed timely issues including pandemic-related economic analysis, climate risk, and European financial markets. Econometrics Statistical Methods Financial Networks Time Series Analysis Forecasting Within the Department of Economics at the University of Verona, Frattarolo contributes to various academic committees including the Economics Department Council and teaches courses across multiple degree programs, including Econometrics, Statistical and Econometric Analysis, and Machine Learning for Economics.

• Robust Statistics
• Bias Reduction Methods
• Estimation Theory
• +۵ مورد دیگر

Nicola Lunardon is an Associate Professor of Statistics at Ca' Foscari University of Venice. He holds a PhD in Statistics from the University of Padua and has held academic positions at the University of Milan-Bicocca, University of Trieste, and others. His research focuses on robust statistics, bias reduction methods, pseudo-likelihoods, and asymptotic theory. He has contributed to advancements in estimation functions and computational statistical methodologies. Current Affiliation: Department of Environmental Sciences, Computer Science and Statistics Previous Roles: Associate Professor at University of Milan-Bicocca (2019–2023), Research Fellowships at Padua and Trieste Universities (2012–2016) Research Interests: Lunardon's work emphasizes improving inferential procedures through robust statistical techniques. He has developed methods to address bias in estimating functions, tackle incidental parameters, and enhance computational efficiency. His Bayesian non-parametric approaches have been applied to molecular systems analysis. Publications span methodological contributions in top journals like Biometrika , Journal of the Royal Statistical Society , and Biometrics . Themes include global sensitivity analysis, longitudinal data modeling, and small-sample GEE estimation. Notable Software: Co-developed the ROSE package for imbalanced learning in R

Paolo Carmelo COZZUCOLIمشاهده پروفایل

دانشیار

• Statistics
• Statistical Quality Control
• Multivariate Statistical Processes
• +۳ مورد دیگر

Paolo Carmelo COZZUCOLI is an Associate Professor of Statistics (scientific-disciplinary sector SECS-S/01) at the Department of Economics, Statistics and Finance "Giovanni Anania" at the University of Calabria, where he has been in service since December 2006. Previously, he worked as a Statistics Researcher at the Faculty of Economics and Political Sciences of the University of Calabria from June 1992 to December 2006. Professor Cozzucoli's research focuses on statistical methodologies with particular emphasis on multivariate statistical processes, Bayesian statistics, and applications in quality control. His work spans various domains including social media analysis, environmental sustainability, financial forecasting, and chemical engineering. He has developed innovative approaches for hate speech detection, service quality assessment, and statistical process monitoring. His recent publications demonstrate a consistent focus on multivariate analysis techniques applied across diverse fields. The research shows a progression from fundamental statistical methodology development toward increasingly applied interdisciplinary work, with strong emphasis on practical implementation of statistical models in real-world settings. His work frequently employs Bayesian approaches, permutation tests, and multivariate process control methods. Professor Cozzucoli teaches courses including "Statistics for decisions," "Statistica ed elementi di inferenza," and "Deep learning Techniques and Neural Networks" for programs in Public Administration Sciences, Economics, and Data Science for Business Analytics. He is an active member of the "Statistica & Demografia" research group, which focuses on developing new statistical and demographic methodologies for data collection, analysis, description, and interpretation. Within this group, his specific interests include: multivariate statistical process control, Bayesian networks, sampling theory, and applications in quality management.

Pierluigi Montalbanoمشاهده پروفایل

استاد

• International Economics
• Development Economics
• Global Value Chains (GVCs)
• +۶ مورد دیگر

Pierluigi Montalbano is a Full Professor of International Economic Policy at Sapienza University of Rome and Associate Faculty at the Department of Economics, University of Sussex (UK). His academic roles include coordination of Master's and PhD programs, membership in scientific committees for development policies, and extensive consultancy with institutions like the World Bank and European Commission. Full Professor, Sapienza University of Rome Associate Faculty, University of Sussex His research focuses on: Macroeconomic/microeconomic instability in developing economies Global value chains and trade integration in emerging economies Culture/creativity as local development drivers Impact evaluation of development programs Recent publications analyze climate migration, food security, and GVC dynamics. He has received the Jean Monnet Chair on 'Rethinking EU Trade Policy for Development' and serves in Italian government committees for Agenda 2030 and development impact evaluation.

Simone Di Leoمشاهده پروفایل

استادیار

• Efficiency and Productivity Analysis
• Non-parametric Frontiers
• Business Data Analysis
• +۸ مورد دیگر

Simone Di Leo is an Assistant Professor of Management Engineering at Sapienza University of Rome, specifically within the Department of Computer, Control, and Management Engineering "Antonio Ruberti" (DIAG). His academic career focuses on applying advanced quantitative methods to evaluate public services and regulated industries, with particular emphasis on efficiency and productivity analysis. Dr. Di Leo earned his BSc in Software Engineering, followed by an MSc in Management Engineering, and completed his PhD Doctor Europeus cum laude in Industrial and Management Engineering at Sapienza University of Rome. His doctoral thesis, "Performance evaluation of public services with nonparametric frontiers," established the foundation for his research in non-parametric efficiency analysis. He has maintained strong international connections, including a four-month visiting research period at the Université Catholique de Louvain in Belgium in 2023. His primary research interests center around efficiency analysis, business data analysis, micro-data analysis, and regulation and public policy analysis, with specialization in non-parametric frontiers methodology. Dr. Di Leo applies these techniques across diverse sectors including waste management, electricity markets, natural gas markets, municipal solid waste services, and higher education institutions. His work bridges theoretical methodological developments with practical applications in regulated industries and public services, often focusing on sustainability challenges and data quality issues in large longitudinal datasets. Dr. Di Leo's research portfolio demonstrates a consistent progression toward addressing complex sustainability challenges through advanced quantitative methods. His recent publications reveal a strong trend toward applying Data Envelopment Analysis and related techniques to environmental challenges, particularly waste management and circular economy initiatives at both municipal and European levels. He maintains significant research activity in higher education efficiency, examining university rankings and resource allocation, while also contributing to methodological advances in data quality assessment and error detection. This multidisciplinary approach positions his work at the intersection of operations research, public policy, and sustainability science. Dr. Di Leo serves on the editorial board of the international journal Information Processing & Management and has contributed to significant research projects funded by institutions such as ARERA (the Italian energy, network and environment regulatory Authority). He was part of the ETER Project (now part of the European Higher Education Sector Observatory, HESO), where he was responsible for collection and quality control of data from Italian, Maltese, Irish, and Great Britain institutions. As an educator, Dr. Di Leo teaches "Management Tools for Business Data Analysis" for the Master's Degree in Management Engineering at Sapienza University of Rome. He actively supervises Master's theses on topics related to energy retail markets, consumer perception, and data-driven policy analysis, emphasizing student-driven research topics and requiring English-language thesis writing. His supervision philosophy encourages students to propose their own thesis topics, believing that working on self-selected subjects produces better outcomes.

• Structural Dynamics
• Vibration Control
• System Identification
• +۲ مورد دیگر

Antonina Pirrotta is Full Professor at University of Palermo, serving as Director of the PhD School (since 2023) and CIDiS Research Center (since 2021). Her research in structural dynamics includes vibration control systems and probabilistic methods. Honors include the EASD Senior Research Prize (2020), EMI Fellowship (2020), and International Excellence Fellowship at KIT (2021). Innovations include optimized dampers for seismic and wind load mitigation. Research integrates analytical stochastic methods with experimental dynamics. Recent publications advance fractional calculus applications in random vibration theory and control device optimization. Editorial roles include Associate Editor for Meccanica and Journal of Engineering Mechanics .

Monia Santiniمشاهده پروفایل

پژوهشگر

• Climate Resilience
• Hydrological Modeling
• Land Use Change
• +۶ مورد دیگر

Monia Santini serves as Director of the Institute for Climate Resilience and Principal Scientist at the Euro-Mediterranean Center on Climate Change (CMCC), where she has led scientific and project management activities for over 13 years within the IAFES Division. Her academic credentials include a master’s degree in Geological Sciences from Sapienza University of Rome, a PhD in Forest Ecology from the University of Tuscia in Viterbo, and a Post-University Master in General and Applied Geophysics from INGV/University of Pisa. Dr. Santini specializes in GIS-based water cycle and land use change evaluations under climate variability, with particular expertise in hydrological drought indicators and low-inflow period analysis. Her research quantifies climate-terrestrial ecosystem feedbacks through water-soil-plant interactions, focusing on water resource impacts, and leverages advanced GIS terrain analysis algorithms for robust hydrological modeling. Her publication portfolio reveals strong interdisciplinary trends across climate resilience domains, including carbon sequestration frameworks, land use change effects on infectious disease emergence, machine learning applications in terrestrial ecology, and high-resolution climate projections for Mediterranean regions, consistently integrating computational methods with environmental systems analysis. With extensive project management experience at CMCC, she directs strategic research initiatives and oversees resource allocation for climate impact studies, though specific grant details remain unlisted in available sources. The Institute for Climate Resilience under her leadership develops science-based adaptation strategies through multidisciplinary teams utilizing high-performance computing and advanced modeling to deliver actionable climate services for Euro-Mediterranean policymakers and stakeholders.

ANTONIO MUSOLESIمشاهده پروفایل

استاد

• Econometrics
• R&D and Innovation
• Productivity Analysis
• +۵ مورد دیگر

Antonio Musolesi is a Full Professor of Econometrics at the Department of Economics and Management, University of Ferrara, where he has worked since 2021. Previously, he served as Associate Professor (2013-2021) and held research positions at INRA and CNRS in France. His research spans econometrics, innovation, productivity, environmental economics, and spatial modeling. Education: PhD in Economics (University of Nice Sophia-Antipolis, 2004), M.S. in Statistics and Econometrics (University of Toulouse, 2002), B.A. in Political Science (University of Bologna, 2000) His research focuses on econometric modeling of innovation, productivity, and environmental policy, with expertise in panel data, nonparametric methods, and spatial econometrics. Current work includes semiparametric models for cross-sectional dependence and applications to knowledge production and climate change. Recent publications investigate R&D spillovers, environmental Kuznets curves, and policy evaluation using advanced econometric techniques. He has participated in EU FP7 and FP6 projects and serves as editor for Open Economics . Key scientific awards: National Scientific Qualification to Full Professor, CNRS and INRA fellowships Musolesi supervises PhD students and teaches econometrics at the University of Ferrara and University of Lyon. He has co-organized international workshops on climate econometrics and spatial modeling.

• Actuarial Science
• Machine Learning
• Financial Time Series Analysis
• +۴ مورد دیگر

Maria Carannante is a Lecturer at the European University of Rome's Department of Human Science, specializing in Mathematical Methods for Economics, Actuarial Sciences, and Finance (STAT-04). She maintains active membership in The Association for Mathematics Applied to Social and Economic Sciences (AMASES). Her research program centers on developing advanced quantitative methods for real-world applications. Primary domains include: Machine learning implementations for longitudinal data analysis Stochastic modeling of mortality and longevity risks Climate risk quantification in insurance contexts Multidimensional analysis of financial time series Big data processing frameworks for economic systems Publication analysis reveals consistent focus on actuarial innovations, with recent emphasis on: Machine learning applications in insurance risk transfer Pandemic mortality modeling and insurance implications ESG integration in actuarial pricing Advanced dependency modeling using copulas Longevity risk solutions for pension systems

• Media Quality Assessment
• Subjective Experiments
• Image Processing
• +۴ مورد دیگر

Lohic Fotio Tiotsop is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino. His contact email is lohic.fotiotiotsop@polito.it. He is affiliated with the Internet Media Group (IMG) research team focusing on multimedia technologies. His teaching responsibilities include serving as teaching assistant for: PhD course: Multimedia communications: technological advances and social implications (2022/23) Bachelor courses: Algoritmi e programmazione (Electronic Engineering), Programming techniques (Computer Engineering), and Informatica (Aerospace Engineering) Research interests center on Information Processing Systems with specialization in: AI-driven media quality assessment and prediction models Statistical analysis of subjective scoring behaviors Deep learning approaches for image distortion assessment Stochastic optimization for service systems Non-parametric methods for quality score recovery His recent publications (2024) demonstrate consistent focus on improving multimedia quality evaluation through machine learning techniques, behavioral modeling, and optimization frameworks. The works particularly emphasize practical applications in telecommunications and media systems. No scientific awards or student advising relationships are mentioned in the available information.

MASSIMO NUCCIمشاهده پروفایل

دانشیار

• Cognitive Reserve
• Fake Data Analysis
• Repeated Measures

Massimo Nucci is an Associate Professor in the Department of General Psychology at the University of Padova. His research focuses on cognitive reserve, fake data analysis, and repeated measures. He is affiliated with the University of Padova and can be reached at massimo.nucci@unipd.it. His work integrates statistical methodologies with psychological inquiry, particularly in aging populations and healthcare contexts. Research interests include cognitive reserve's role in aging trajectories, statistical methods for analyzing agreement among raters (e.g., in healthcare and sports), and validation of psychometric instruments. His studies often employ Bayesian approaches and longitudinal designs. Publications span cognitive interventions for older adults, methodological innovations in statistical testing, and dyadic studies in social psychology. His work emphasizes practical applications in healthcare training and mental health interventions. No academic awards were explicitly mentioned in the provided texts. His advising record and grant activities remain undocumented in the current dataset. Laboratory or team affiliations were not detailed in the available information.

• Experimental Phonetics
• Sociolinguistics
• Bilingual Speech
• +۳ مورد دیگر

Alessandro Vietti is a Tenured Associate Professor of Linguistics at the Free University of Bozen-Bolzano, Italy, and Director of the ALPS (Alpine Laboratory of Phonetic Sciences). He holds a PhD in theoretical linguistics and sociolinguistics from the University of Pavia. His research focuses on experimental phonetics, sociolinguistics, and the quantitative analysis of speech variation using advanced methods like Ultrasound Tongue Imaging (UTI) and social network analysis. He leads projects such as the AlpiLinK corpus and the Phoné initiative for spoken Italian recognition systems. Key research areas include bilingual speech patterns in multilingual contexts, articulatory phonetics, and the sociolinguistic implications of phonetic variation. Vietti has developed a specialized laboratory for phonetic studies and contributed to documenting endangered languages through ASR systems. He teaches courses like Introduction to Linguistics and Sociolinguistics at the Bachelor level. His work bridges theoretical linguistics with applied methodologies, emphasizing empirical and technological innovation in language research. Notable projects include a DFG-funded study on Tyrolean dialect sounds (€500k) and collaborative research on multilingual speech models. Vietti’s publications span phonetic articulation, sociolinguistic modeling, and computational tools for language analysis. His contributions reflect a commitment to interdisciplinary approaches, integrating linguistics with technology and social science.

• Geometric Analysis
• Calculus of Variations
• Partial Differential Equations
• +۳ مورد دیگر

Gian Paolo Leonardi is a Full Professor in the Department of Mathematics at the University of Trento. His research focuses on geometric analysis, calculus of variations, partial differential equations, and their applications in mathematical physics and optimization. He has organized several international conferences, including the 'One-Day Workshop on Applied Mathematics' and the 'National Conference on Calculus of Variations'. His work spans topics such as isoperimetric inequalities, free boundary problems, and geometric measure theory. Notable contributions include studies on Wulff crystals in materials science, quantitative Faber-Krahn inequalities, and the prescribed mean curvature equation. Recently, he has also explored applications of geometric analysis in deep learning theory, proposing novel complexity measures for neural networks. Leonardi has collaborated with institutions like ETH Zurich, the University of Jyväskylä, and the University of Padua. His research often bridges pure mathematics and applied problems, with a focus on variational principles and geometric regularity. Despite extensive contributions, no specific awards or grants are explicitly listed in the provided materials.

• Quantitative Finance
• Stochastic Volatility Models
• Risk Measurement
• +۴ مورد دیگر

Erindi Allaj is an Associate Professor at the Department of Economics and Business Sciences of the University of Parma . She teaches General Mathematics and Quantitative Methods for Financial Markets in the Economics and Management bachelor's program. Office hours: Thursdays and Fridays 10:00-12:00 (in-person by appointment) Research focuses on: mathematical finance, volatility modeling, financial instability prediction, ESG integration in portfolio optimization Research Interests: Her work addresses key challenges in quantitative finance, including no-arbitrage valuation frameworks, stochastic volatility modeling, and financial instability prediction. Recent publications explore ESG integration in portfolio optimization, while earlier works examine transaction cost modeling and the Black–Litterman asset allocation framework. Key Publications Trends: Her research spans 2013-2025 with recent focus on ESG factors (2025), high-frequency data applications (2021, 2024), and financial crisis prediction systems (2022-2023). Academic collaborations include Maria Elvira Mancino and Simona Sanfelici. Contact Information: Email: erindi.allaj@unipr.it Office Location: Department of Economics and Business Sciences – Mathematics Section "E. Levi" Address: Via J.F. Kennedy, 6, 43125 Parma, Italy