جست‌وجوی استاد و پژوهشگر

• Hydrology
• Water Engineering
• Flood Frequency Analysis
• +۲ مورد دیگر

Luigi Cafiero is a PhD candidate in Civil and Environmental Engineering at the Polytechnic University of Turin (Politecnico di Torino), currently in his 38th cycle (2022-2025). Affiliated with the Department of Environmental, Land and Infrastructure Engineering (DIATI) and serving as an external lecturer at the Interuniversity Department of Regional and Urban Studies and Planning (DIST), his doctoral research focuses on non-stationary flood frequency analysis under climate change conditions, specifically developing operational procedures for space-time estimation of flood quantiles. His academic background includes: Bachelor of Science in Mechanical Engineering, Università degli studi di Genova, 2019 Master of Science in Environmental Engineering (Climate Change specialization), 2022, with thesis on Idai cyclone characterization in Beira, Mozambique, developed within the interdisciplinary lab "After the Storm. Designing post-cyclone strategies for the city of Beira, Mozambique" Research interests span Hydrology and Water Engineering , with concentrated expertise in non-stationary flood frequency analysis, climate change impacts on hydrological extremes, and hydrometeorological risk assessment. His work integrates advanced statistical methods with practical flood risk management applications, particularly addressing precipitation extremes in changing climates. Analysis of his 12 publications (2022-2025) reveals a consistent focus on climate-driven flood frequency modeling, featuring quantile-mapping techniques for precipitation-flood relationships, regional flood modeling in the Po River basin, and case studies of extreme events like the Idai cyclone. His research bridges theoretical hydrology with actionable flood risk adaptation strategies. Scientific Awards: None listed in available information. Advising and Grants: As a current PhD candidate, no formal advisees are documented. No grant information is provided in the source materials. Labs and Teams: Previously engaged with the "After the Storm" interdisciplinary lab for Mozambique cyclone recovery strategies. Currently collaborates with Alberto Viglione (PhD supervisor), Miriam Bertola, Paola Mazzoglio, Francesco Laio, and Günter Blöschl on flood frequency research at Politecnico di Torino.

Andrea Sottorivaمشاهده پروفایل

استاد

• Cancer Evolution
• Computational Biology
• Genomics
• +۴ مورد دیگر

Andrea Sottoriva is the Head of the Computational Biology Research Centre at Human Technopole , Milan, Italy, and holds the title of Professor of Cancer Genomics and Evolution . His work bridges computational biology, evolutionary theory, and clinical oncology to predict cancer progression and design adaptive treatment strategies. University of Bologna – BSc in Computer Science (2006) University of Amsterdam – MSc in Computational Sciences (2008) University of Cambridge – PhD in Computational Biology (2012) Dr. Sottoriva's research focuses on cancer evolution , applying machine learning and population genetics to decode tumor heterogeneity through multi-omics data. His lab integrates patient-derived organoids and spatial genomics to understand how genetic and epigenetic factors drive cancer progression. The 15 most recent publications demonstrate a consistent emphasis on subclonal dynamics (7/15), computational methods (6/15), and evolutionary modeling (5/15). Key themes include adaptive mutability in colorectal cancer , immune editing in post-transplantation relapses, and deep learning applications for tumor heterogeneity. Scientific recognition includes: Cancer Research UK Future Leaders in Cancer Research Prize (2016) His lab currently trains PhD students and postdoctoral researchers in computational oncology, maintaining a living biobank of patient-derived models while pioneering AI-mechanistic hybrid models for clinical translation.

Silvia BOZZAمشاهده پروفایل

دانشیار

• Forensic Statistics
• Bayesian Statistics
• Evidence Evaluation
• +۴ مورد دیگر

Silvia BOZZA is an Associate Professor in the Department of Economics at Ca' Foscari University of Venice, where she also serves as Department Delegate for Teacher Training for High Schools. Her academic profile is centered around Statistics (SSD STAT-01/A), with a strong focus on forensic applications of statistical methods. She maintains dual institutional affiliations, working within both the Department of Economics (based in San Giobbe) and the Interdepartmental School of Economics, Languages and Entrepreneurship for International Exchanges (located in Treviso - Palazzo San Paolo). Professor BOZZA's research primarily explores the application of Bayesian statistics to forensic science and legal evidence evaluation. Her work demonstrates a consistent trajectory from early publications on spatio-temporal models to her current specialized focus on forensic statistics. She has developed expertise in probabilistic graphical models, Bayes factors, and statistical decision theory as applied to evidence interpretation. Her research addresses critical questions in forensic science regarding how to properly evaluate and communicate statistical evidence in legal contexts, with particular attention to handwriting analysis, DNA evidence, and authorship attribution. Her publication record shows remarkable consistency and productivity, with over 90 publications spanning from 2001 to 2025. Recent work (2022-2025) demonstrates her ability to address contemporary challenges, including AI authorship discrimination using Bayesian methods for distinguishing human from ChatGPT-generated text. Her articles frequently appear in high-impact forensic and statistical journals including Law, Probability & Risk, Forensic Science International, and Annual Review of Statistics and its Application. Professor BOZZA actively supervises undergraduate and graduate theses involving data analysis, requiring knowledge of statistical software including the R programming language used in the Statistics for Economics Laboratory course. She encourages students to propose topics while offering guidance to refine research questions. Her office hours show she maintains regular availability for student consultations, indicating active engagement in academic mentoring.

Silvia Polettiniمشاهده پروفایل

دانشیار

• Bayesian Statistical inference
• Official Statistics
• Statistical Disclosure Risk Estimation
• +۵ مورد دیگر

Silvia Polettini is an Associate Professor in Statistics at the Department of Social and Economic Sciences, University of Rome "La Sapienza". She has been with the university since 2011, achieving the rank of Associate Professor in 2020. Prior to this, she served as a Researcher at the University of Naples Federico II from 2005 to 2011, and worked at the National Institute of Statistics (ISTAT) from 2000 to 2005. Her academic journey began with a Statistical Officer position at the Italian Ministry of Health from 1998 to 2000. Her educational background includes: 1994: Bachelor's Degree with honors in Statistical and Demographic Sciences, University of Rome "La Sapienza" 1999: Ph.D. in Methodological Statistics, University of Rome "La Sapienza" Silvia Polettini's research spans several critical areas in modern statistics. Her work in Bayesian Statistical inference has produced innovative approaches for handling complex data structures. She has made significant contributions to Official Statistics , particularly in methodologies for data protection and disclosure risk assessment. Her expertise in Statistical Disclosure Risk Estimation and Microdata Protection has positioned her as a leading researcher in data privacy. The development of Bayesian Semi-parametric Modeling for Small Area Estimation represents another major strand of her work, with applications across social and economic domains. Her research on Measurement Error Models addresses fundamental challenges in data quality, while her work on Latent Variable Models and Survival Analysis extends into demographic and health applications. An analysis of her recent publications reveals a clear trajectory focusing on addressing underreporting issues in sensitive social phenomena, particularly violence against women, using sophisticated Bayesian methods. Her work bridges theoretical statistical innovation with practical applications in social policy. The integration of small area estimation techniques with measurement error models represents another significant theme, enabling more accurate regional and demographic analyses despite data limitations. Professor Polettini has been actively involved in numerous research projects, including several PRIN (Progetti di Rilevante Interesse Nazionale) initiatives and international collaborations. Her leadership in projects like "ESSnet on Statistical Disclosure Control" funded by Eurostat and "Data Linkage and Anonymisation" supported by the Isaac Newton Institute demonstrates her standing in the international statistical community. She has served as principal investigator for multiple research projects focused on disclosure risk estimation, small area modeling, and addressing underreporting in social data. Her teaching responsibilities include Statistics for Political Science and International Relations students, as well as Statistics for Economic Applications for International Economic and Financial Relations students. Office hours are held on Thursdays from 10am to 12pm, available both in person and online by appointment.

Alessio Vienoمشاهده پروفایل

استاد

• Community Psychology
• Behavioral Addiction
• Adolescent Development
• +۳ مورد دیگر

Alessio Vieno is a Full Professor at the University of Padua, specializing in Community Psychology and Behavioral Addictions. His research focuses on adolescent development, particularly addressing how social environments, digital media use, and risk behaviors intersect to shape health outcomes. He leads the Italian Health Behaviour in School-aged Children (HBSC) Study, analyzing data from nationally representative samples to inform public health policy. Research Interests span behavioral addiction (e.g., gaming disorder, cyberpornography), social media impacts, adolescent health disparities, and preventive strategies. He employs longitudinal and cross-sectional methodologies to explore topics like maternal/paternal phubbing effects, pandemic-related behavioral changes, and substance use trends across 40+ countries. Key Contributions include groundbreaking work on: Linking BMI/menarche timing with health risks Uncovering social anxiety mechanisms in ASD populations Developing Bayesian models to forecast cannabis use trends Assessing democratic school climates' civic engagement effects Labs/Teams involve collaboration with HBSC international networks and multidisciplinary teams studying digital addiction and youth resilience. He maintains active participation in EU-funded projects addressing homelessness services and migrant adolescent integration.

• Machine Learning
• Online Learning
• Algorithmic Game Theory
• +۴ مورد دیگر

Andrea Celli is an Assistant Professor in the Department of Computing Sciences at Bocconi University. He is affiliated with the ELLIS Society and the Bocconi Institute for Data Science and Analytics. Previously, he was a postdoctoral researcher at Meta (formerly Facebook Research) in London. He holds a Ph.D. in Computer Science from Politecnico di Milano and conducted research at Carnegie Mellon University's Electronic Marketplaces Lab. His research focuses on intersections of computer science, machine learning, and economics, particularly in strategic interactions and online learning environments. Notable achievements include a NeurIPS 2020 Best Paper Award and the 2017 Lesmo Prize for his MSc thesis. His research is supported by grants including an ERC Starting Grant (2024) for the PLA-STEER project and an MUR-PRIN grant (2022). He teaches courses such as Deep Learning and Reinforcement Learning, Machine Learning, and Optimization at the Ph.D. level. His work spans topics like equilibrium finding, online learning under constraints, and mechanism design. Key publications include contributions to ICLR, NeurIPS, EC, and other top venues. Celli advises Master’s students including Annalisa Barbara, Emanuele Coccia, Davide Drago, and Antonio Preiti. He collaborates with postdocs like Riccardo Poiani and Martino Bernasconi. He actively organizes academic events, such as the EC 2025 workshop on Online Learning and Economics. His research emphasizes theoretical foundations while addressing practical challenges in algorithmic game theory and data-driven decision-making.

Andrea Giacomelliمشاهده پروفایل

مدرس

• Risk Management
• Financial Econometrics
• Bayesian Networks
• +۱۰ مورد دیگر

Andrea Giacomelli is a Lecturer at Ca' Foscari University of Venice, Department of Economics, teaching Risk Measurement and ESG Risk Management in Master's programs. He is also the CEO of KnowShape, a SaaS spin-off focused on ERM solutions for financial institutions, including EU Sustainability Taxonomy compliance and dual materiality assessments. Research Interests : Risk Management, Bayesian Networks, ESG Risk, Credit Risk, Operational Risk, Financial Modeling. Conference Involvement : Scientific Director of Nomisma SpA’s Real Estate Risk indicators project; Organizer of the annual CREDIT conference on credit risk since 2002. Consulting Roles : Deloitte, UniCredit, Crif, Edison; Member of Risk Management Magazine’s Scientific Committee and GRETA Associati’s Academic Board.

Leonardo Lanariمشاهده پروفایل

دانشیار

• Robotics
• Humanoid Locomotion
• Model Predictive Control (MPC)
• +۴ مورد دیگر

Leonardo Lanari is an Associate Professor at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome. His research focuses on robotics, particularly humanoid motion generation, model predictive control, and nonlinear control systems. He has contributed to advancements in gait stability, underactuated robotics, and remote robotic experiments through the REAL Lab. PhD in Systems Engineering from Sapienza University Visiting Scholar at Rensselaer Polytechnic Institute Research Interests Robotics (humanoid locomotion, flexible manipulators, underactuated systems), control theory (MPC, robust control), and large-scale system control. His work integrates geometric approaches with practical robotic implementations. Recent Article Trends Focus on model predictive control for humanoid stability, stair navigation, and cooperative transportation systems. 2025 studies emphasize feasibility-driven motion planning in complex environments. Scientific Awards 2020 IEEE Robotics and Automation Magazine Best Paper Award Teaching & Grants Teaches Control Systems and Multivariable Feedback Control at Sapienza. Has developed courses on underactuated robots and control problems in robotics. Involved in grants for healthcare AI platforms like CADUCEO and humanoid applications in aircraft manufacturing. Labs & Teams Membro del Robotics Lab at DIAG. Collaborates with international institutions including MIT, Rensselaer Polytechnic Institute, and Airbus on humanoid robotic projects.

• Sensor network data analysis
• Crowdsourced data analysis from citizen science initiatives
• Statistical modeling and analysis of spatio-temporal data
• +۳ مورد دیگر

Francesco Finazzi is a full professor of statistics (SECS-S/02) at the Department of Economics of the University of Bergamo and maintains a research affiliation with the School of Mathematics and Statistics at the University of Glasgow. He is internationally recognized as the founder of the Earthquake Network citizen science initiative (www.sismo.app), which pioneered the first globally implemented smartphone-based seismic early warning system. His research expertise spans sensor network data analysis, crowdsourced data from citizen science initiatives, statistical modeling of spatio-temporal data, and parallel scientific software development. He has made significant contributions to developing statistical methodologies for earthquake parameter estimation using smartphone sensor networks and has advanced techniques for analyzing environmental time series data. His recent publications reveal a strong research trajectory focused on earthquake early warning systems, spatio-temporal environmental modeling, and statistical approaches to crowdsourced seismic data. His work uniquely bridges statistics, seismology, and computer science to develop practical, real-world early warning solutions that leverage mobile technology and citizen participation. Finazzi has secured substantial research funding as Principal Investigator for the University of Bergamo in major Horizon 2020 projects, including RISE (Real-time earthquake risk reduction for a ReSilient Europe, 2019-2023, €8,000,000) and TURNkey (Towards more Earthquake-resilient Urban Societies through a Multi-sensor-based Information System, 2019-2022, €7,999,948). He leads the Earthquake Network initiative, a groundbreaking citizen science project that has created the first operational smartphone-based seismic early warning system worldwide. This platform not only provides early warnings but also facilitates rapid impact assessment and supports search and rescue operations following seismic events.

Monica Billioمشاهده پروفایل

استاد

• Econometrics
• Sustainable Finance
• Climate Risk
• +۳ مورد دیگر

Monica Billio is Full Professor in Econometrics at Ca' Foscari University of Venice, coordinating the Master's in Economics, Finance and Sustainability. She leads research at the European Center for Living Technology and Research Institute for Complexity. Research focuses on: Climate finance risk modeling Bayesian statistical methods Network analysis in financial systems Sustainable investment frameworks Systemic risk measurement Publications demonstrate strong emphasis on integrating econometric techniques with climate risk assessment, particularly in mortgage markets and sustainable investing. Editorial contributions include special issues on sustainable finance transitions.

• Monetary Policy
• Fiscal Policy
• Macroeconomics
• +۴ مورد دیگر

Giovanni Di Bartolomeo is the Dean of the Faculty of Economics and a Professor at Sapienza University of Rome. He holds additional positions including Advisor to the European Parliament, Member of the Experts Council of the Italian Ministry of Economy and Finance, Senior Fellow at the Luiss Institute for European Analysis and Policy, and co-founder of the Centre for Investigation and Modelling of Experimental Observations (CIMEO). His research focuses on monetary and fiscal policy, macroeconomics, experimental economics, and environmental policy. Di Bartolomeo studied at Sapienza University of Rome and Pompeu Fabra University (Barcelona), earning an MSc and PhD. His work spans ECB policy analysis, climate change mitigation, and the impact of large-scale events like the Euro 2020 on regional economies. He has contributed to evaluating Italy’s Recovery and Resilience Plan and addressing stagflation risks in the Eurozone. His recent publications examine topics such as carbon taxation, financial dominance in the eurozone, and behavioral macroeconomic modeling. Notably, he explores guilt aversion in experimental settings and the strategic dynamics of scarce resources. Di Bartolomeo’s research emphasizes policy resilience, fiscal-monetary coordination, and the long-term implications of short-term political decisions. He has advised on structural reforms, sovereign debt crises, and pandemic fiscal responses. His contributions to public economics and macroeconomic resilience have been published in specialized journals and policy reports.

• Nonlinear Dynamics
• Structural Dynamics
• System Identification
• +۳ مورد دیگر

Dario Anastasio is a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He is affiliated with the College of Mechanical, Aerospace, and Automotive Engineering and actively contributes to both teaching and research activities in mechanical engineering. Dr. Anastasio's research focuses on several key areas within mechanical engineering and dynamics. His primary interests include: Nonlinear dynamics and structural dynamics System identification and modal analysis Energy harvesting, particularly vibration energy harvesting Dynamics of mechanical systems with nonlinear characteristics Pantograph-catenary dynamic interaction in railway systems His work spans both theoretical modeling and experimental validation, with particular emphasis on negative stiffness oscillators, railway contact line dynamics, and nonlinear system identification techniques. Dr. Anastasio applies advanced methodologies including subspace identification, Bayesian model selection, and signal processing to solve complex mechanical engineering problems related to vibration analysis and structural dynamics. Analysis of Dr. Anastasio's publications reveals a strong focus on nonlinear dynamics, particularly in mechanical systems with complex behaviors. His research consistently bridges theoretical modeling with experimental validation across multiple domains including railway systems, energy harvesting devices, and nonlinear oscillators. The publications demonstrate progression from fundamental nonlinear dynamics research toward practical applications in railway engineering and vibration-based energy harvesting systems. Dr. Anastasio has received notable recognition for his work: Quality Award 2019 conferred by Politecnico di Torino, Italy (2020) Dr. Anastasio actively contributes to the academic community through extensive teaching activities across multiple programs. He serves as a Teaching Assistant for "Dynamics and Identification of Nonlinear Systems" and as a Course Collaborator for "Dynamics of Mechanical Systems" and "Vibration Mechanics" at both Master's and Bachelor's levels. His teaching spans from 2019/20 through the upcoming 2025/26 academic year, demonstrating his ongoing commitment to mechanical engineering education. Additionally, he contributes to PhD-level instruction in "Rotordynamics of High-Speed Rotating Machinery." Dr. Anastasio is a key member of the "Dynamics of mechanical systems and identification" research group within DIMEAS. His research integrates multiple ERC sectors including Mechanical and manufacturing engineering, ODE and dynamical systems, Signal processing, and Simulation engineering and modelling. His work aligns with Sustainable Development Goals 7 (Affordable and clean energy) and 9 (Industry, Innovation, and Infrastructure).

• Transportation Planning
• Mobility Behaviors
• Multimodal Transport Systems
• +۳ مورد دیگر

Marco Diana is a Full Professor in the Department of Environmental, Land and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin, specializing in transportation planning and sustainable mobility. His academic career spans over two decades with significant contributions to multimodal transport systems, travel behavior analysis, and urban mobility solutions. Professor Diana's research interests encompass Transportation Planning, Mobility Behaviors, Multimodal Transport Systems, Sustainable Urban Transport, Travel Demand Analysis, and Shared Mobility Services. His work focuses on understanding how people interact with transportation systems, particularly examining the adoption and impact of shared mobility services like car-sharing, bike-sharing, and scooter-sharing systems in urban environments. His recent publications reveal a strong focus on shared mobility services, with particular attention to stakeholder perspectives, socio-demographic factors influencing adoption, and the spatial impacts of these services on urban infrastructure. The research shows a clear progression from traditional transportation planning toward data-driven analysis of emerging mobility services and their integration into sustainable urban transport systems. Accessit prize for the best paper of the joint ECRI-FERSI seminar conferred by ECTRI, France (2003) Fellow of the Transportation Research Board (2017-present), Member of the standing committee 'Travel Survey Methods' Fellow of the Transportation Research Board (2011-2020), Member of the standing committee 'Urban Transportation Data and Information Systems' Editorial board member of Transportation Research Record (2019-present) Editorial board member of European Transport Research Review (2008-2020) Professor Diana actively supervises PhD students including Amirehsan Charlang Bakhtyari and Erika Olivari, while previously guiding Ehsan Amirnazmiafshar to completion. His research is supported by numerous competitive grants including EU-funded projects such as GILL (2023-2025), STARS (2017-2020), SUITS (2016-2020), and DEMONSTRATE (2015-2017), with a focus on sustainable urban mobility solutions. His work bridges academic research with practical applications through commercial research contracts addressing specific urban transport challenges in Italian cities.

Fabrizia Mealliمشاهده پروفایل

استاد

• Causal Inference
• Econometrics
• Statistical Methods
• +۳ مورد دیگر

Fabrizia Mealli is a Full-time Professor in the Department of Economics at the European University Institute (EUI), serving as Director of Graduate Studies. She holds a concurrent leave position as Professor of Statistics at the University of Florence's Department of Statistics, Informatics, Applications (DiSIA). Her research focuses on causal inference, econometric methods, Bayesian analysis, and missing data, with applications in social and biomedical sciences. Education & Academic Roles: Professor of Statistics, University of Florence (on leave) Full-time Professor, EUI Department of Economics (since 2023) Visiting positions at Harvard University (2001, 2015, 2017) Research Interests: Her work centers on causal inference methodologies, including principal stratification, interference, and bipartite settings. She develops statistical techniques for observational and experimental studies, Bayesian approaches, and applications in policy evaluation and network effects. Awards & Editorial Roles: Elected Fellow of the American Statistical Association (ASA) President-elect of the Society for Causal Inference (SCI) Associate Editor for Biometrika , Journal of the American Statistical Association , and Annals of Applied Statistics Grants & Collaborations: Her research has been applied to policy evaluation (e.g., hospital readmission programs, immigration policies) and public health interventions (e.g., air pollution effects). Labs & Teams: Leads initiatives on causal inference under interference and network analysis, collaborating with global institutions and researchers in statistics and econometrics.

• Economics
• Statistics
• Composite Indicators
• +۷ مورد دیگر

Chiara Gigliarano is a Professor at the Università Carlo Cattaneo - LIUC, affiliated with the Faculty of Social Sciences and the Department of Economics, Econometrics and Finance. Her research focuses on composite indicators, poverty measurement, environmental wellbeing, and statistical methodology. Previously, she held an Associate Professor position at the University of Insubria. Her work emphasizes innovative approaches to aggregating multidimensional data, particularly in regional and socioeconomic contexts. Key areas include the construction of well-being indices, analysis of income polarization, and evaluating policy impacts using Bayesian networks and spatial econometric models. Recent studies address post-pandemic societal changes, environmental sustainability, and labor market dynamics in Italy. Awards and grants are not explicitly mentioned, but her extensive publication record reflects impactful contributions to economics and statistics. She advises students through methodological and applied research projects in poverty measurement, composite indicators, and public policy evaluation. Her research is supported by collaborations with institutions like ISER (University of Essex) and involves both national and international datasets. Labs/teams: Engaged in interdisciplinary projects at LIUC's Social Sciences faculty, focusing on sustainable well-being, regional disparities, and statistical innovation. Publications frequently explore methodological advances for policy-relevant indicators.