جستجوی استاد راهنمای دانشگاهی

Monica Pratesiمشاهده پروفایل

استاد

• Small Area Estimation
• Poverty Measurement
• Official Statistics
• +۵ مورد دیگر

Monica Pratesi is a Full Professor of Statistics at the Department of Economics and Management of the University of Pisa. She currently serves on leave as Director of the Department for Statistical Production at ISTAT, coordinating 937 researchers and managers. Her expertise spans small area estimation, poverty measurement, survey methodology, and official statistics. She leads the Tuscan Universities Research Centre “Camilo Dagum” and has held two Jean Monnet Chairs focusing on poverty and living conditions in the EU. She has coordinated major EU projects like INGRID-2 and MAKSWELL, advancing methodologies for inclusive growth and sustainable development. Her research integrates big data and citizen-generated data into statistical frameworks. Awards include presidencies of the Italian Statistical Society and the International Association of Survey Statisticians. Education & Roles: Full Professor of Statistics (SECS-S/01) at University of Pisa since 2012 Director, Department for Statistical Production at ISTAT (until 2024) President, Italian Statistical Society (2016-2020) President-elect, International Association of Survey Statisticians (2022-2023) Research Focus: Advanced statistical methods for poverty monitoring, small area estimation, survey design, and leveraging big data for policy impact. Key areas include multidimensional poverty, educational poverty, and sustainable development indicators. Her work emphasizes real-time data integration and policy relevance. Grants & Projects: Principal Investigator for INGRID-2 (EU H2020, 2017-2021) Principal Investigator for MAKSWELL (EU H2020, 2017-2020) Coordinator of SAMPLE (FP7) and INGRID (FP7) Labs & Teams: Active in the Societal Transitions group and contributes to the European Master in Official Statistics program. Her research center, REMARC, focuses on policy-driven statistical innovation.

Maurizio MUZZUPAPPAمشاهده پروفایل

استاد

• Industrial Engineering Design
• Augmented Reality (AR) Applications
• Product Development Methodologies
• +۵ مورد دیگر

Maurizio MUZZUPAPPA is a Full Professor at the Department of Mechanical, Energy and Management Engineering (University of Calabria) since 2018. His roles include Rector's Delegate for Technology Transfer, Academic Delegate for Education at DIMEG, and Head of the Physical Prototyping Laboratory at the MaTeRiA Center (UNICAL-CNISM collaboration). He supervises the Unical Racing Team in Formula SAE competitions and co-founded three university spin-offs: 3DResearch, Tech4Sea, and Q-BOT. As Scientific Director of projects like TECH4YOU (climate change adaptation technologies) and GROWN IN THE BLUE (Mediterranean reef conservation), he integrates research in industrial design, augmented reality, and underwater cultural heritage. He has authored over 200 publications (h-index 27) and holds 10 patents. His teaching includes Tools and Methods for Industrial Design and Formula SAE LAB . His research focuses on: Industrial design methodologies with parametric and sustainable approaches 3D prototyping and additive manufacturing User-Centered Design for product ergonomics Virtual/Augmented Reality applications in engineering and cultural heritage Underwater robotics and artifact restoration Recent publications highlight trends in AR for industrial maintenance, generative design tools, and mechatronic solutions for underwater heritage. He has supervised over 300 theses and 10 Ph.D. students while leading technology transfer initiatives.

Thomas Le Barbanchonمشاهده پروفایل

استاد

• Labor Economics
• Public Finance
• Econometrics
• +۵ مورد دیگر

Thomas Le Barbanchon is a Full Professor of Economics at Bocconi University since 2025 and holds the Rodolfo Debenedetti Chair in Labor Economics. He received his PhD from Ecole Polytechnique (CREST-ENSAE) in 2012 and has been affiliated with institutions like CEPR, CREST, J-PAL, LEAP, BIDSA, IGIER, IZA, and IFS. His research focuses on labor economics, particularly job search mechanisms, unemployment insurance effects, gender disparities, and labor market policy evaluation. Educational background: PhD in Economics (Ecole Polytechnique), MSc in Economics (Universitat Pompeu Fabra), Diplôme d'ingénieur statisticien-économiste (ENSAE), and Diplôme d'ingénieur (Ecole Polytechnique) Research highlights include: Quantifying the impact of unemployment insurance reforms in France Analyzing gender differences in job search behavior Studying the effectiveness of hiring credits during economic crises Investigating how traditional AI improves job matching Examining migrant-native job search segregation patterns Scientific contributions appear in top journals like American Economic Journal: Applied Economics , Quarterly Journal of Economics , and Review of Economic Studies . Awards include two ERC grants (2017 & 2024) and the Bocconi Impact Award (2022). He mentors PhD students in economics and labor policy, currently serves as Director of IGIER research center, and maintains active editorial roles at Review of Economic Studies and Journal of the European Economic Association .

Mauro Barniمشاهده پروفایل

استاد

• Multimedia Security
• Digital Forensics
• Machine Learning
• +۳ مورد دیگر

Mauro Barni serves as a Full Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, where he teaches Cybersecurity, Information Theory, and Mathematical Statistics. His office hours are held Fridays from 3:00 PM to 5:00 PM via online appointment, reflecting his active engagement with students. Professor Barni's research spans multimedia security and digital forensics, with emphasis on deep learning applications for digital watermarking, deepfake detection, and synthetic image attribution. His work addresses critical challenges in adversarial machine learning, steganography, and image manipulation detection, contributing significantly to cybersecurity and intellectual property protection frameworks. Analysis of his 2021-2025 publications reveals dominant trends in neural network watermarking robustness, synthetic media detection, and defenses against backdoor attacks. His research consistently bridges theoretical foundations with practical implementations, focusing on real-world applications like printer source attribution and physical-domain adversarial scenarios. He leads the VIPP (Vision, Image Processing, and Pattern Recognition) research group, which maintains dedicated virtual classrooms for collaborative projects in computer vision and multimedia security. The group actively develops methodologies for image forensics, synthetic media analysis, and security countermeasures against emerging threats.

• Sampling Methods
• Survey Design
• Spatial Statistics
• +۴ مورد دیگر

Giorgio Alleva is a Full Professor at the Department of Methods and Models for Economy, Territory and Finance at Sapienza University of Rome. He specializes in statistical methods for labor market analysis, data integration, and spatial statistics. His work addresses the intersection of official statistics, administrative data utilization, and pandemic surveillance systems. Academic Rank: Full Professor Department: Methods and Models for Economy, Territory and Finance Email: giorgio.alleva@uniroma1.it His research focuses on sampling methodologies , survey design , and quality assessment of official statistics . Recent work includes optimizing spatial sampling strategies for SARS-CoV-2 surveillance and analyzing data ecosystems for multisource integration. He also explores the role of statistical transparency in public health communication. Alleva's recent publications emphasize pandemic data infrastructure , economic modeling , and territorial administrative analysis . His methodological contributions span stochastic general equilibrium models and accuracy measurement in statistical registers. He leads the UNESCO CHAIR 'Population, Migrations and Development' and collaborates with the COVINFORM research group. His teaching includes a 3-CFU module on labor market data analysis, with classes held in Santoro Passarelli Hall on Wednesdays and Room IX on Fridays.

• Survey Methodology
• Economic Statistics
• Big Data Analysis
• +۳ مورد دیگر

Daniele Toninelli is an Associate Professor of Economic Statistics (SECS-S/03) at the University of Bergamo's Department of Economics, where he also serves as Director of the 'Data Analyst for Strategic Decisions' program, Internship Manager for the department, and member of the School of Economics and Management's Joint Teacher-Student Commission. His educational background includes a PhD in Marketing for Business Strategies (University of Bergamo, 2009), Master's in Statistics for Market Research (University of Milan-Bicocca, 2004), and Degree in Statistical and Economic Sciences (University of Milan-Bicocca, 2003). Toninelli's research focuses on: Survey and web survey methodology design and optimization Integration of big data for economic and social indicators Development of price indexes and composite indicators Social media analytics for economic measurement His work bridges statistical theory with applications in labor markets, sustainability metrics, and environmental data analysis. Teaching activities encompass undergraduate and graduate courses including Economic Statistics, Quantitative Methods for Business Data Analysis, Advanced Business Statistics, and specialized 'Data Skills' modules covering visualization, survey methods, and SAS certification preparation. International research collaborations include visiting positions at Statistics Canada (2008-2013), University of Ottawa (2012-2013), VŠB-Technical University of Ostrava (2012-2013), RECSM at Universitat Pompeu Fabra (2014), and guest lectures at University of Ljubljana (2018). He previously served on the management committee of the WEBDATANET network (COST Action IS1004). Professional experience includes roles at PiTre Milan, IBM Semea/Celestica, and Multiplex Arcadia, applying statistical expertise in industrial settings.

• Measurement Error Models
• Two-Step Models
• Social Capital
• +۳ مورد دیگر

Giuseppina Guagnano is an Associate Professor at the Department of Methods and Models for Economy, Territory, and Finance at the University of Rome "La Sapienza". Her research focuses on measurement error models, two-step models, social capital, and tax evasion. Research Interests: Measurement error models, Two-step models, Social capital, Tax evasion Recent Publication Trends (2019–2025): 8/15 articles address undeclared work, tax evasion, and measurement error. 5/15 focus on social capital's impact on demographics and policy. 3/15 analyze social theater projects through quantitative surveys. Teaching: Leads courses in Statistics and Statistical Models for Business, with detailed grading policies and office hours (Tuesday 11:00–13:00). Provides extensive course materials on e-learning platforms, including R code, datasets, and lecture slides.

• Marine Macroalgae Taxonomy
• Coastal Marine Habitat Ecology
• Restoration of Cystoseira Stands
• +۶ مورد دیگر

Annalisa Falace is an Associate Professor at the University of Trieste within the Department of Life Sciences (DSV) . She specializes in Environmental and Applied Botany (BIO/03) with focus on marine macroalgae, coastal habitat ecology, and restoration of Cystoseira stands. PhD in Environmental Biomonitoring (University of Trieste) Specialization courses: Algology Laboratory (Trieste), Roscoff Biological Station (France), Pierre and Marie Curie University (Paris VI), ARAGO Laboratory (Banyuls-sur-Mer) Her research emphasizes interdisciplinary approaches combining taxonomic , physiological , and ecological studies. Key projects include: Biodiversity monitoring through macroalgal indicators (Water Framework Directive) Eco-physiological responses to herbicides, temperature stress, and osmotic stress Innovative restoration methodologies for marine forests Coralligenous habitat analysis and rhodolith bed conservation Current leadership roles include Scientific Manager for: LIFE21-NAT-IT-REEForest (active) Posidonia monitoring projects (active) iNEST Interconnected North-East Innovation Ecosystem (active) She mentors researchers and students through involvement in doctoral committees and supervises lab members including Dr. Sara Kaleb and Dr. Annalisa Caragnano. Her work contributes to: Marine Strategy Framework Directive compliance Horizon 2020 environmental protection measures Adriatic Sea conservation initiatives

Daniela Marellaمشاهده پروفایل

استاد

• Statistical matching
• Bayesian networks
• Survey sampling
• +۴ مورد دیگر

Daniela Marella is a Professor at the Department of Social and Economic Sciences, Sapienza University of Rome. She teaches Statistics and holds office hours on Tuesdays from 10:00 AM to 12:00 PM. Her email address is daniela.marella@uniroma1.it . Teaching: Statistics (Sociology, Economics, Development Studies) Research: Statistical matching, Bayesian networks, survey sampling, uncertainty quantification Publications: 15+ articles on non-probability sampling, measurement error, and interrater agreement Her research focuses on statistical matching methodologies, Bayesian network applications in survey data, and handling selection bias in non-probability samples. She explores measurement error modeling, empirical likelihood approaches, and resampling techniques for complex survey designs. Recent publications emphasize uncertainty analysis in statistical matching, graphical models for data integration, and Bayesian structural learning. Key areas include non-ignorable sampling, ordinal categorical data agreement, and pseudo-population resampling frameworks.

• Landslide Susceptibility
• Geomorphology
• Natural Hazards
• +۳ مورد دیگر

Chiara Martinello is a Researcher in Earth and Marine Sciences at the University of Palermo, Italy, with office hours held Tuesdays 3:00-5:00 PM at Via Archirafi, 20 - 4th floor. Her work focuses on advanced geomorphological analysis of landslide and coastal processes using statistical and machine learning methodologies. Her research spans landslide susceptibility mapping, coastal erosion vulnerability, and earthquake/tropical storm-induced geohazards. She addresses critical methodological challenges including incomplete landslide inventories, cell-size effects in modeling, and integration of preparatory/triggering factors. Fieldwork concentrates on Sicily (Italy) and El Salvador, with emphasis on practical risk assessment applications. Analysis of her 15 most recent publications reveals consistent innovation in statistical landslide modeling, particularly regarding inventory completeness validation and multi-typology susceptibility mapping. Recent work expands into coastal vulnerability indices and anthropogenic impacts on fluvial systems, demonstrating interdisciplinary integration of geospatial data, bathymetry, and hydrological modeling. No scientific awards are documented in available sources. Dr. Martinello supervises Master's theses as indicated by her 'Edited theses' role, though specific student names aren't provided. Research grant details remain undisclosed in public materials, though her extensive publication record suggests active project involvement. She operates within the Earth and Marine Sciences Department's research infrastructure at the University of Palermo, contributing to regional risk assessment initiatives through field data collection, statistical modeling, and validation frameworks for geohazard prediction.

• Work Psychology
• Wearable Technology
• Sleep Health
• +۴ مورد دیگر

Luca Menghini is an Assistant Professor at the University of Padova, specializing in occupational health psychology, wearable technology applications, and work-related stress. His research focuses on leveraging digital tools such as wearable devices and mobile sensors to study sleep patterns, workplace behavior, and psychosocial risk factors. Key areas include workaholism impacts, healthcare worker well-being, and the validation of new technologies for health monitoring. His research interests span the intersection of technology and psychology, particularly in: Wearable sensor validation for sleep and physiological monitoring Workplace stress and its physiological correlates (e.g., blood pressure, emotional exhaustion) Multilevel analyses of healthcare environments Experience sampling methodologies for real-time psychological assessment Recent work emphasizes standardized evaluation frameworks for sleep-tracking devices and explores how emerging technologies like VR controllers can integrate physiological sensing. His studies often address contemporary challenges such as digital transformation's mental health implications and menopause management in workplaces. Publications consistently highlight innovative applications of data science in occupational health, with a focus on actionable insights for improving worker well-being through validated technological solutions.

• Conservation Biology
• Landscape Ecology
• Floristics
• +۷ مورد دیگر

Salvatore Pasta is a permanent Researcher at the Institute of Biosciences and BioResources (IBBR-CNR) in Palermo, Italy. His work spans Conservation Biology , Landscape Dynamics , and Island Biogeography , focusing on Mediterranean ecosystems. With a PhD in Plant Biosystematics and Ecology from the University of Florence, he has published extensively on plant conservation, urban ecology, and palaeoecological studies. Education: PhD in Plant Biosystematics and Ecology (University of Florence, 1997) Master in Natural History Sciences (University of Palermo, 1993) Research Interests: Conservation strategies for endangered species like Zelkova and Calendula Urban ecosystem dynamics and citizen science applications Historical analysis of human-vegetation interactions in Sicily Fire regime impacts on Mediterranean vegetation Notable Contributions: Developed biotechnological protocols for Calendula maritima conservation Documented trait variability in Zelkova species Contributed to IUCN Mediterranean Islands Plant Specialist Group

Gaia BERTARELLIمشاهده پروفایل

استادیار

• Social Statistics
• Small Area Estimation (SAE)
• Robust Statistics
• +۷ مورد دیگر

Gaia BERTARELLI is an Assistant Professor (Tenure-Track) in Social Statistics at the Department of Economics, Ca' Foscari University of Venice. She holds a PhD in Statistics from the University of Milan-Bicocca (2015), with earlier degrees in Mathematics (Bachelor) and Biostatistics (Master). Her research focuses on small area estimation (SAE), robust statistics, latent variable models, and multidimensional poverty measurement, with applications in health systems, gender inequality, and sustainable well-being. She collaborates with institutions like ISTAT (Italian National Institute of Statistics), FAO, and Save the Children ONLUS, and has been involved in EU-funded projects since 2018. Education: Bachelor's in Mathematics, University of Milan-Bicocca Master's in Biostatistics and Experimental Statistics, University of Milan-Bicocca PhD in Statistics, University of Milan-Bicocca (2015) Research Interests: Her work integrates statistical methodology with real-world challenges, emphasizing poverty measurement, health systems analysis, and gender inequality. She develops SAE models to assess multidimensional poverty and policy effectiveness, particularly in official statistics. Her recent projects include measuring educational poverty, analyzing healthcare disparities in aging populations, and evaluating digital health interventions. Editorial Roles: Associate Editor, Statistical Methods & Applications (2024–) Editor of 'Book and Software' section, The Survey Statistician (2024–) Professional Activities: Member of the S2G group (SIS) on Methodologies for Sample Surveys (2024–2025) Past coordinator of y-SIS (Young Italian Statisticians) and YSE (Young Statisticians Europe) Labs/Teams: She contributes to the Research Institute for Social Innovation at Ca' Foscari, focusing on interdisciplinary social science research.

Giovanni Di Francoمشاهده پروفایل

استاد

• Social Research Methodology
• Electoral Sociology
• Attitudes and Values of Young People
• +۳ مورد دیگر

Giovanni Di Franco serves as Full Professor in the Department of Social and Economic Sciences at Sapienza University of Rome's Faculty of Political Science, Sociology and Communication. He directs the book series "La cassetta degli attrezzi" (Franco Angeli Milano) and holds affiliations with CIRES at Roma Tre University and Bonanno publishing house's scientific committee. His research centers on Social Research Methodology , emphasizing data collection/analysis techniques, historical evolution of methods, qualitative-quantitative integration, and micro-macro data synthesis. Specialized in Electoral Sociology , he examines polling methodologies in digital contexts, while his work on Youth Attitudes explores values during economic crises. Additional expertise spans Europeanization Processes , Social Representations of eating disorders, and Social Cohesion frameworks. Recent publications reveal methodological innovation through machine learning applications and critical analysis of intergenerational inequality, reflecting his commitment to advancing sociological research in contemporary digital landscapes. Professor Di Franco has led significant projects including immigrant family-school interactions (2009-10), food education integration (2009), Campanian legality culture (2008), and European identity formation (2007-09), alongside European Commission-funded e-inclusion research. He supervises doctoral candidates through Sapienza's PhD program in Sociology and Applied Social Sciences. He contributes to interdisciplinary research through LARFAD laboratory and CIRES center, developing methodological tools for social analysis while directing academic publications that shape methodological discourse in Italian sociology.

• Spatial Sampling Methods
• Quantitative Criminology
• Econometrics
• +۴ مورد دیگر

Maria Michela Dickson is an Associate Professor of Economic Statistics at the University of Trento’s Department of Economics and Management. She holds a PhD in Economic Statistics from Sapienza University of Rome (2014) and has undertaken visiting research at the Institut de Statistique, University of Neuchâtel (2014–2016). Her research focuses on spatial sampling methods, quantitative criminology, and econometric modeling of spatially distributed phenomena. She has contributed to major EU-funded projects like the 'Private Corruption Barometer' and has organized international workshops on sampling techniques and spatial statistics. Education: PhD in Economic Statistics, Sapienza University of Rome (2011–2014) Master’s in Law and Economics, LUISS Guido Carli (2009–2011) Bachelor’s in Political Sciences, LUISS Guido Carli (2006–2009) Research interests include spatial sampling design , business corruption analysis , and urban security metrics . She has published extensively on methodological advancements in spatial econometrics and the impact of locational errors in data collection. Her work bridges statistical theory with practical applications in crime prevention and economic policy. Notable contributions include the Private Corruption Barometer project (EU-funded), and leadership in international conferences such as the 2022 ITACOSM conference. She is a member of the Spatial Econometric Association (SEA) and the Italian Statistical Society (SIS).