جست‌وجوی استاد و پژوهشگر

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.

Federica Mucciمشاهده پروفایل

دانشیار

• International Law
• Cultural Heritage Protection
• European Union Law
• +۴ مورد دیگر

Federica Mucci is an Associate Professor of International Law at the University of Rome Tor Vergata, affiliated with the Department of History, Humanities and Society. She specializes in international protection of cultural heritage, European Union law, and treaty law. Her teaching includes courses on cultural heritage protection and EU law for programs in Education and Tourism. Legal Expert: Italian Ministry of Foreign Affairs UNESCO Delegation Member: Contributed to the 2005 UNESCO Convention on cultural diversity and its implementation. Her research focuses on international law frameworks for cultural heritage, maritime law, treaty interpretation, and environmental protection. Key publications include monographs on cultural heritage law (2012) and a PhD thesis on EU copyright law (1998). Publications span interdisciplinary topics such as topological data analysis, though the majority of her work aligns with legal and humanities disciplines. Awards: No specific prizes are mentioned, but her scholarly output includes influential books and articles on international law. Advising/Grants: No formal student advisees or grant details provided in text. Labs/Teams: No specific lab affiliations mentioned, though her role at UNESCO implies collaboration with international bodies.

Giancarlo Manziمشاهده پروفایل

دانشیار

• Machine Learning
• Multivariate Statistics
• Bayesian Statistics
• +۵ مورد دیگر

Giancarlo Manzi is an Associate Professor of Statistics at the Department of Methods and Models for Economics, Territory, and Finance, University of Rome La Sapienza. He holds a PhD from the University of Milan-Bicocca and conducted thesis research at the University of Toronto. His career includes roles at the Medical Research Council Biostatistics Unit in Cambridge and the University of Milan. University of Rome La Sapienza (Current) Medical Research Council Biostatistics Unit (Former Researcher) University of Milan (Former Researcher and Associate Professor) University of Milan-Bicocca (PhD) University of Toronto (Thesis collaboration) His research spans Machine Learning , Bayesian Statistics , and Smart Mobility , with a focus on Covid-19 analytics , data visualization , and epidemiological modeling . He integrates Multivariate Statistics with Public Health to address complex challenges in health systems and urban environments. The 15 most recent publications highlight expertise in quantile regression , Bayesian networks , time-series analysis , and smart mobility optimization . His methodological contributions include wavelet analysis, cross-correlation models, and SIRD modeling frameworks applied to pandemic dynamics and bike-sharing systems. Scientific awards and honors are not explicitly mentioned in the provided texts. Giancarlo Manzi has taught at the University of Verona, Catholic University of the Sacred Heart, and Universidad Carlos III in Madrid, maintaining strong ties with Italy's academic institutions.

Paolo Oliveriمشاهده پروفایل

استاد

• Analytical Chemistry
• Chemometrics
• Pharmaceutical Chemistry
• +۷ مورد دیگر

Paolo Oliveri is a Full Professor at the Department of Pharmacy (DIFAR) within the University of Genoa. His work focuses on analytical chemistry, chemometrics, and their applications in pharmaceutical, forensic, and environmental sciences. He teaches courses including Analytical Chemistry (CTF), Forensic Analytical Chemistry, and Instrumentation and Quality Control. Research Highlights: He applies chemometric methods and spectroscopic techniques (NIR, TD-NMR) to analyze material properties across diverse domains—from pharmaceutical raw materials to archaeological dating. His recent work explores hyperspectral imaging for ecological studies and multivariate analysis of rare-earth element profiles in soil science. Contact: Available at the Chemistry and Pharmaceutical and Food Technologies Section of DIFAR (Viale Cembrano, 4) or via email at paolo.oliveri@unige.it. Appointments require prior coordination through his email.

Rancoita Paola Maria Vittoriaمشاهده پروفایل

دانشیار

• Biostatistics
• Bioinformatics
• Survival Data Analysis
• +۶ مورد دیگر

Rancoita Paola Maria Vittoria is an Associate Professor of Medical Statistics (MED/01) at the Faculty of Medicine and Surgery, Vita-Salute San Raffaele University (UniSR), since 2022. She is actively involved in research activities at the University Center for Statistics for Biomedical Sciences (CUSSB) and serves on the Board of Directors of CUSSB (since 2016) and the Scientific Committee of CeNRI (Center for Nursing Research and Innovation, since 2016). She also participates in academic governance through multiple committees in the International MD Program (since 2020) and the Doctoral School in Public Health at the University of Milan-Bicocca (since 2020). Research Focus : Her work centers on developing and applying statistical methodologies in biostatistics and bioinformatics, including survival analysis with frailty models, repeated measures and clustered data analysis, genomic data integration via Bayesian regression, and stochastic geometry for angiogenesis image analysis. These techniques address clinical challenges like missing data handling and prognostic index identification. Academic Background : PhD in Mathematics and Statistics for Computational Sciences (2010), University of Milan Post-doctoral Researcher (2010-2011), IDSIA/IOSI Switzerland Research Fellow (2012-2013), Statistics SECS-S/01, Faculty of Psychology, UniSR Fixed-Term Researcher (2014-2021), Medical Statistics MED/01, UniSR Scientific Recognition : WHO Statistical Consultant (2022) Task Force Member, Stop TB Partnership (2020) ISBA Travel Award (2010) INdAM Fellowship (2004-2006) Leadership Roles : She served as Treasurer in the Italian Region of the International Biometric Society (2018-2021) and held leadership roles in Società Italiana di Statistica Medica ed Epidemiologia Clinica (2020-2021). Her teaching spans statistics, bioinformatics, and clinical data science across undergraduate and postgraduate programs at UniSR and Milan-Bicocca University.

Antonio Pietrabissaمشاهده پروفایل

دانشیار

• Networked Systems
• Time-delay Systems
• Non-cooperative Control
• +۴ مورد دیگر

Antonio Pietrabissa is an Associate Professor at the Department of Computer, Control, and Management Engineering “Antonio Ruberti” (DIAG) of the University of Rome Sapienza, where he earned his degree in Electronics Engineering (2000) and PhD in Systems Engineering (2004). He has been teaching Automatic Control and Process Automation since 2010 and holds the National Scientific Qualification as Full Professor in Systems and Control Engineering (09/G1). Research interests include networked systems, robust control, Markov decision processes, and deep reinforcement learning. His work spans telecommunications, biomedical applications, and space systems, with a focus on federated learning and decentralized control. He has authored ~70 journal papers (Scopus h-index 22) and co-invented a patent for model predictive control in motor disability assistance. Awards include the 2021 Cybersecurity Award and ETRI Journal Best Paper. Current projects are NANCY (6G networks) and CADUCEO (AI-driven medical diagnostics). He is also CEO of Sapienza startup Automation Intelligence and Control (AICO), commercializing AI solutions for space, telecom, and biomedical sectors.

• Statistics
• Biostatistics
• Medical Statistics
• +۱۳ مورد دیگر

Angela Andreella is an Assistant Professor in the Department of Economics and Management at the University of Trento. She holds a Ph.D., M.Sc., and B.Sc. in Statistics from the University of Padova. Her prior roles include Assistant Professor at Ca' Foscari University of Venice (2022–2024) and postdoctoral positions at the Universities of Padova and Insubria. Research Interests: Her work spans multivariate analysis, selective inference, social statistics, and permutation tests, with applications in biostatistics, neuroscience, and data analytics. She specializes in high-dimensional data, robust statistical methods, and quantitative approaches to social and medical research. Professional Memberships: Italian Statistical Society Italian Society of Biometry International Society of Biometry International Organization for Human Brain Mapping Institute of Mathematical Statistics Italian Association of Psychology

• Statistics
• Spatial Statistics
• Spatio-Temporal Modeling
• +۷ مورد دیگر

Donato Posa is a Full Professor in Statistics at the Department of Economic Sciences, University of Salento. He holds the academic position of Professor Ordinario (Full Professor) in the field of Statistics (SECS-S/01) and is actively engaged in research and academic leadership. His work bridges economics, environmental science, and advanced statistical modeling. University: University of Salento Department: Department of Economic Sciences Academic Rank: Professor Email: donato.posa@unisalento.it Office: Centro Ecotekne Pal. C, S.P. 6, Lecce - Monteroni, LECCE (LE) Phone: +39 0832 29 8737 Donato Posa earned his degree in Physics, cum laude, from the University of Bari with a thesis conducted at CERN, Geneva, and completed a specialization in Physics. His international academic experience includes extended research stays at Stanford University (USA), the University of Arizona, and the University of North Carolina. His research focuses on spatial and spatio-temporal statistics, with major contributions in geostatistics, multivariate geostatistics, stochastic simulation, and time series analysis. He has developed theoretical and applied models for environmental monitoring, pollution assessment, and socioeconomic data analysis. His work has been applied in risk mapping, environmental policy, and urban planning. The 15 most recent articles reflect a consistent trend in spatio-temporal modeling and geostatistical innovation. They span theoretical developments in covariance modeling and variogram analysis to practical applications in environmental monitoring, pollution dispersion, and ecosystem well-being. The research demonstrates a strong interdisciplinary focus, integrating statistical theory with environmental, economic, and computational sciences. His scientific recognition includes multiple CNR and NATO research grants, CERN awards, and an International Diploma of Honour from the American Biographical Institute for contributions to geostatistics. He has served on editorial boards, chaired international conferences (e.g., GeoEnv 2012), and participated in national scientific qualification committees. Posa has supervised numerous research projects funded by CNR, MIUR, Fondazione Caripuglia, and EU programs. He has acted as a scientific referee for leading journals such as Stochastic Environmental Research and Risk Assessment and Computational Statistics and Data Analysis . He has also led educational initiatives in statistical methods and GIS for environmental and cultural heritage applications. He has been actively involved in academic governance, serving as President of the Research Observatory at the University of Salento (2013–2017) and as a member of national evaluation committees. He has chaired international conferences and contributed to major scientific associations including the Bernoulli Society, the International Association for Statistical Computing, and the American Statistical Association.

• Statistics
• Statistical Inference
• Time-Series Analysis
• +۳ مورد دیگر

Emanuele Taufer is a Full Professor of Statistics at the Department of Economics and Management of the University of Trento. His academic career includes roles as Vice Director of the Department of Computer Science and Business Studies and Faculty Delegate for International Relations. He holds a Ph.D. in Statistics from Cardiff University, an M.Sc. in Mathematical Statistics from George Washington University, and a Laurea in Economics from the University of Trento. His research focuses on statistical inference, stochastic processes, goodness-of-fit tests, and applications in ESG analysis. Notable contributions include work on exponentiality testing, graphical models, and financial dependence modeling. He has been recognized for his 2002 paper on mean residual life characterization at the SIS2002 conference. Recent research trends emphasize methodological advancements in ESG performance measurement, sparse network estimation for heavy-tailed data, and generalized precision matrices for financial risk modeling. His work spans theoretical statistics, applied econometrics, and interdisciplinary topics like environmental governance. Education: Ph.D. in Statistics, Cardiff University (UK) M.Sc. in Mathematical Statistics, George Washington University (USA) Laurea in Economics, University of Trento (Italy) Professional Roles: Full Professor of Statistics at University of Trento (2003–present) Associate Professor (2003–2003), Assistant Professor (1996–2002) Awards: 2002 SIS2002 Recognition for innovative statistical testing methodology Key Research Themes: Stochastic processes and estimation ESG methodology and financial reporting High-dimensional data analysis Goodness-of-fit tests and tail index estimation

Aldo SOLARIمشاهده پروفایل

استاد

• Statistics
• Statistical Inference
• Biostatistics
• +۳ مورد دیگر

Aldo Solari is a Full Professor at the Department of Economics of Ca' Foscari University of Venice. His research focuses on statistical inference, conformal prediction, and biostatistics, with applications in genomics, medical decision-making, and neuroscience. He teaches courses in statistics for economics, probability, and data science. Recent publications include advancements in false discovery rate control and hybrid human-AI collaboration in medical diagnostics. Solari co-edits the Proceedings of Machine Learning Research (PMLR) and serves as a referee for the US-Israel Binational Science Foundation. His work integrates theoretical developments with practical software tools for statistical analysis. Teaching: STATISTICA, INTRODUCTION TO PROBABILITY FOR ECONOMICS, DATA ANALYTICS FOR BUSINESS AND SOCIETY Research Themes: Multiple Testing, Conformal Prediction, Biomedical Applications, Neuroimaging Analysis Publications span peer-reviewed journals like Biometrika and Journal of the Royal Statistical Society , emphasizing methodological contributions with real-world impact. Solari’s projects include funding from Italy-Israel collaborations on high-dimensional inference in neuroscience and genomics.

Antonio Ciconeمشاهده پروفایل

استاد

• Numerical Analysis
• Signal Processing
• Applied Mathematics
• +۵ مورد دیگر

Antonio Cicone is a Professor of Numerical Analysis at the University of L'Aquila, Italy. He holds the position of Research Associate at the Istituto di Astrofisica e Planetologia Spaziali (INAF) and Istituto Nazionale di Geofisica e Vulcanologia (Rome). His research focuses on signal processing, numerical linear algebra, and their applications in geophysics, astrophysics, medicine, and economics. He leads projects funded by the Italian Ministry and coordinates international initiatives like the MaSAG and NoSAG summer schools. He serves as an editor for journals such as Applied and Computational Harmonic Analysis and Frontiers in Applied Mathematics. His work includes developing algorithms like Fast Iterative Filtering (FIF) and the IMFogram for nonstationary signal analysis. Key collaborations involve universities and institutions worldwide, addressing challenges in plasma dynamics, GNSS signals, and cultural heritage preservation. Education: Holds an Abilitazione Scientifica Nazionale (ASN) for Full Professor in Numerical Analysis (2023) and Associate Professor (2020). Member of the Ph.D. program in Computer Science and Mathematics at the University of Insubria. Extensive teaching in signal processing and numerical analysis. Research Interests: Signal decomposition, time-frequency analysis, applications in geophysics/astrophysics, circular economy through signal processing, and interdisciplinary collaborations. His methods are applied to biomedical signals, optical fringe patterns, and environmental data analysis. Grants & Leadership: PI of the PRIN PNRR 2023 project on circular economy. Organized multiple international conferences and summer schools. Editorships and advisory roles in academic journals highlight his leadership in computational mathematics and signal processing. Labs/Teams: Involved with the Mathematics for Signal Processing group at the University of L'Aquila and collaborates with global institutions like Duke University and Georgia Tech.

Carlo Gaetanمشاهده پروفایل

استاد

• Environmental Statistics
• Spatial Statistics
• Extreme Value Theory
• +۳ مورد دیگر

Carlo Gaetan is a Full Professor at the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University of Venice. His research focuses on statistical modeling for environmental applications, including extremes in climate data, spatial-temporal analysis, and environmental risk assessment. He contributes to editorial roles, such as Associate Editor of the Journal of the Royal Statistical Society, Series C. His work spans environmental statistics, spatial modeling, and applications in climate change and health. Gaetan is actively involved in projects like the Venice 2021 climate scenario initiative and collaborates on studies assessing air pollution impacts and disease modeling. His teaching includes office hours for students, emphasizing accessibility and academic guidance.

Cristiano Varinمشاهده پروفایل

استاد

• Statistical Methodology
• Composite Likelihood Inference
• Copula Regression
• +۳ مورد دیگر

Cristiano Varin is a Full Professor in Statistics at the Ca' Foscari University of Venice , affiliated with the Department of Environmental Sciences, Computer Science and Statistics (DAIS). He works at the Scientific Campus in via Torino and maintains the DAIS website for research and teaching updates. His research focuses on: Composite likelihood inference - A key methodological contributor with seminal papers in Biometrika and Statistica Sinica Copula regression - With practical implementations in R software Meta-analysis - Including improved likelihood inference techniques Spatial statistics - With applications to environmental data Paired comparison modeling - Applied to sports analytics and behavioral studies Recent publications demonstrate expertise in crossed random effects models (2025), ridge regression for paired comparisons (2024), and thermal comfort range analysis (2023). Scientific recognition includes: Royal Statistical Society Read Paper (2015) on journal citation modeling Gumbel Lecture (2006) by German Statistical Society Ca' Foscari Teaching Award (2020) He has collaborated with institutions including: Swiss National Science Foundation Natural Sciences and Engineering Research Council of Canada Norwegian Council of Research

Janna Smirnovaمشاهده پروفایل

استادیار

• Environmental economics
• Circular economy
• Institutional development
• +۷ مورد دیگر

Janna Smirnova is Assistant Professor in Economic Policy (SECS-P/02) at the University of Calabria , Department of Economics, Statistics and Finance. She earned her PhD in Firm, State and Market from the same university, preceded by a Master of Arts in Economics from University College Dublin and earlier degrees from the National Research University of Electronic Technology (MIET, Russia). Since 2011 she has taught macroeconomics, growth theory and international economics across Bachelor, Master and PhD curricula and since 2017 has served as Delegate for Internationalization and President of the International Relations Committee of her department. Research Interests Environmental and resource economics, circular economy and renewable energy policies Institutional development, rule of law and governance quality Gender economics and women’s leadership effects on firm productivity Education economics and long-run impacts of remedial programs Foreign direct investment, innovation diffusion and firm efficiency Her empirical work combines panel econometric techniques with large firm-level and cross-national datasets to evaluate policy effectiveness, environmental regulation and the interplay between institutions and economic outcomes. Research Projects & Funding Scientific Coordinator, University of Calabria Local Unit – GPS Education – Green & Pink for Sustainable Education (PNRR-TNE, 2024-2026) Member, CERERE agri-food supply-chain resilience project (PRIMA, 2024-2026) Member, Institutional Systems and Hospital Performance (PRIN-PNRR 2022, 2023-2025) Member, Ecosystems of Innovation – Tech4You PNRR Mission 4 (2023-2025) Coordinator, Erasmus+ KA171 & KA107 programs with Vietnam, Russia, Czech Republic and Slovakia (2014-2027) Editorial & Peer-Review Service Editorial board member, Modern Economy (SCIRP) and Economic and Socio-Humanitarian Research (MIET) Referee for more than 15 SSCI journals including Energy, Sustainability, International Journal of Finance & Economics, Kyklos, Labour Economics Teaching & Doctoral Supervision PhD supervisor (XXXVII cycle) and tutor (XXXII cycle) Lecturer, Advanced Macroeconomics – Theory of Economic Growth (PhD) Course leader for Macroeconomics (BSc), International Economics (MSc), Theory of Growth (MSc) Invited lecturer, University of Hanoi & University of Danang (2024), Mendel University Brno (2022), Pan-European University Bratislava (2014)

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.