جستجوی استاد راهنمای دانشگاهی

Ulderico Fugacciمشاهده پروفایل

استاد

• Computational Topology
• Algebraic Topology
• Computer Science
• +۲ مورد دیگر

Ulderico Fugacci is a part-time Professor at the Department of Naval, Electrical, Electronic and Telecommunication Engineering (DITEN) at the University of Genoa . He teaches Mathematical Analysis 1 and Algebra courses for undergraduate engineering and computer science programs. His research focuses on computational topology and its applications to shape segmentation and homological analysis. Email: ulderico.fugacci@dibris.unige.it Phone: +39 010 353 6709 His publications explore discrete models for topological data analysis, including algorithms for hierarchical representation of cell complexes in arbitrary dimensions. These works bridge theoretical mathematics with practical applications in computational geometry and multidimensional data analysis.

Marta Nai Rusconeمشاهده پروفایل

دانشیار

• Statistics
• Data Analysis
• Environmental Economics
• +۳ مورد دیگر

Marta Nai Ruscone is an Associate Professor in the Department of Economics at the University of Genoa. She specializes in statistical methodologies, particularly focusing on copula models, data analysis, and their applications in environmental economics and econometrics. Her teaching responsibilities include courses such as Advanced Data Analytics, Statistical Forecasting, and Statistics for Business Economics. Her research emphasizes developing and applying copula-based techniques for clustering, dependence analysis, and modeling complex economic and environmental datasets. Key areas include studying the influence of economic sectors on financial markets, analyzing the dynamics of human development indicators, and exploring relationships between environmental factors and pandemic outcomes. She has also contributed to open-source statistical software like the R package OBsMD for Bayesian model discrimination. Dr. Nai Ruscone’s work bridges theoretical statistical advancements with practical applications, addressing challenges in multivariate analysis, ordinal data modeling, and interdisciplinary problem-solving. Her publications reflect a strong commitment to advancing methodologies in statistics and their relevance to real-world economic and environmental issues.

• Neurology
• Dementia
• Alzheimer's Disease
• +۴ مورد دیگر

Dr. Salvatore Mazzeo is a Researcher (RTDB) in Neurology at Vita-Salute San Raffaele University, Milan, and conducts clinical activity at the Neurology Unit of IRCCS San Donato. His research focuses on dementia’s clinical, cognitive, and biological aspects, leveraging AI. He holds a Ph.D. in Neuroscience from the University of Florence and completed neurology training there. Key roles include: 2024–present: Senior Researcher, Vita-Salute San Raffaele University 2023: Visiting Research Fellow at University College London Elected Member of the Board of Directors of SINdem Tuscany section since 2021 Research Interests: Alzheimer's disease biomarkers, cognitive reserve, neurodegenerative disorders, machine learning applications in diagnosis, and empathy deficits in neurodegenerative diseases. Key Achievements: Over 50 publications, including work on plasma biomarkers (neurofilament light chain, p-tau181), empathy impairment in Alzheimer’s continuum, and AI-driven diagnostic models. Awarded the 2024 Junior Faculty Award and 2023 American Academy of Neurology Scholarship. Grants/Innovations: Leads studies like the PREVIEW protocol using machine learning. Collaborates on projects like personalized brain models for Alzheimer's staging. Labs/Teams: Active in neurodegenerative biomarker research at San Donato and Florence institutions, with a focus on interdisciplinary approaches combining clinical, genetic, and imaging data.

• Bioengineering
• Neuroimaging
• Machine Learning
• +۴ مورد دیگر

Ilaria Boscolo Galazzo is a Temporary Assistant Professor at the Department of Engineering for Innovation Medicine at the University of Verona. Her academic work focuses on the intersection of engineering, neuroscience, and medical applications, with particular expertise in neuroimaging techniques and computational analysis of biomedical data. Academic Sector: IBIO-01/A - Bioengineering Research Sectors: PE6_11 (Machine learning and signal processing), LS5_17 (Imaging in neuroscience), LS5_16 (Systems and computational neuroscience) Her research interests center on neuroimaging, including structural (diffusion MRI) and functional (EEG, fNIRS, functional MRI) imaging techniques, as well as perceptual analysis through cognitive science methods. She employs advanced computer vision and pattern recognition methods to design numerical biomarkers for characterizing healthy and pathological conditions. Her work aims to gain a holistic view of the human brain through integration of multi-modal, multi-scale probing and modeling approaches. Dr. Boscolo Galazzo is actively involved in several research groups including the Neuroimaging Group and Vision, Images, Patterns and Signals (VIPS) group, where activities focus on analysis, recognition, modeling and prediction of multivariate multidimensional signals using AI and machine learning techniques. Her research spans image processing, computer vision, pattern recognition, and biomedical data analysis for both basic and translational research. She has led multiple research projects including EDIPO (focused on neuroimaging genetics in translational research), investigations into brain connectivity underlying physiological and pathological patterns in action tremor, and mapping functional connectivity patterns in neurological diseases using advanced MRI techniques. As an educator, she serves on multiple teaching committees including the Computer Science Teaching Committee, Mathematics and Data Science Teaching Committee, and Information Engineering Teaching Committee. She also participates in the Collegio dei Docenti del Dottorato in Ingegneria dei Sistemi Intelligenti and the Consiglio di Dipartimento Ingegneria per la Medicina di Innovazione.

• Environmental Health
• Oncology
• Pulmonary Medicine
• +۴ مورد دیگر

Roles and Affiliations: Daniela FERRANTE is an Associate Professor at the University of Eastern Piedmont Amedeo Avogadro, Department of Translational Medicine. She has been actively involved in research activities from 2006 to 2025, focusing on environmental health, oncology, and aging. Former affiliation: Same institution (indicating prior role, but currently active) ORCID: 0000-0003-4929-3759 Website: UPO Research Portal Research Focus: Her work addresses asbestos-related diseases (e.g., mesothelioma), aging trajectories, extracellular vesicle biology, and global health burdens. She contributes to UN Sustainable Development Goals (SDGs), particularly in health and environmental sustainability. Key Projects: "SALUTE, AMBIENTE, BIODIVERSITÀ E CLIMA" (2024–2026): Integrating health, environment, and climate interventions in contaminated sites. Novara Cohort Study: Analyzing aging determinants in Northern Italy. Awards & Recognition: None explicitly mentioned, though her research has been published in high-impact journals like The Lancet Public Health and Scientific Reports . Advising & Grants: Collaborates on multidisciplinary projects (e.g., biobanking, cancer metastasis) and has led studies on asbestos exposure, mesothelioma genetics, and SARS-CoV-2 impacts in cancer patients. No specific student names listed, but supervises research teams. Labs & Teams: Engaged in translational medicine initiatives, including biobanking and collaborative networks on asbestos-related diseases and global health.

Anton Dignösمشاهده پروفایل

دانشیار

• Temporal Databases
• Time Series Data
• Data Analytics
• +۳ مورد دیگر

Anton Dignös is a tenured Associate Professor at the Free University of Bozen-Bolzano, Faculty of Engineering, where he leads the Database Systems Research Group. He holds a PhD from the University of Zurich (2014) and has been a faculty member since 2014. His research focuses on temporal databases, time series data, and data analytics, with contributions to indexing, query optimization, and benchmarking tools like TSM-Bench and SEER. Education : BSc and MSc (Computer Science) - Free University of Bozen-Bolzano (2008, 2010) PhD (Dr. sc. in Computer Science) - University of Zurich (2014) Research Interests : Dignös specializes in temporal database systems, time series management, and efficient query processing. He develops novel indexing techniques (e.g., RD-INDEX) and tools for benchmarking time series systems (SEER, TSM-Bench). His work addresses challenges like anomaly detection, sparse data summarization, and parallel join algorithms. Awards : Best Paper Award at SSDBM 2023 Best Paper Award at ADBIS 2022 ACM Computing Reviews Best of Computing (2017) Teaching & Advising : Teaches Data Management and Applied Informatics courses at both BSc and MSc levels. Advises ~25 students (PhD/MSc/BSc) on topics like temporal databases and machine learning applications. Active in thesis supervision and course development. Labs/Teams : Leads the Database Systems Research Group, collaborating on projects like the Period Index for temporal data and VISOR for data visualization tools.

• Financial Risk Management
• Credit Risk
• ESG Scoring
• +۴ مورد دیگر

Arianna Agosto is an Assistant Professor in Statistics at the Department of Economics and Management, University of Pavia. She holds a Master’s Degree in Finance and Risk Management from the University of Parma (2009, with Honors) and a PhD in Statistics from the University of Bologna (2014). She is a Data Scientist at the Statistical Laboratory of the University of Pavia, focusing on risk management and sustainability in finance. Her research interests include statistical and econometric models for finance, credit risk, systemic risk, and contagion. She has professional experience in bank risk management and has contributed to projects on ESG scoring, cryptocurrency volatility, and pandemic economic impacts. Her work integrates advanced statistical techniques like optimal transport theory, Bayesian learning, and score-driven models to address real-world financial challenges. Key research trends in her publications include ESG score aggregation, credit risk modeling, and the application of statistical learning to assess financial fragility during crises. She has also explored geopolitical impacts on energy markets and cybersecurity risks in financial systems. Award and grant details are not explicitly listed in the provided text. She advises through her academic role and leads projects at the Statistical Laboratory, collaborating on risk assessment tools and sustainable finance frameworks. Her work is anchored in interdisciplinary collaboration, bridging statistics, economics, and data science to enhance decision-making in finance and policy.

• Data Science
• Digital Humanities
• Cultural Analytics
• +۳ مورد دیگر

Prof. Dr. Maximilian Schich is a leading academic in the intersection of data science and humanities. His work bridges computational methods with cultural studies, media analysis, and historical research. Affiliated with institutions like the Max Planck Gesellschaft, he contributes to multidisciplinary research through advanced network analysis and digital humanities frameworks. Research Focus: Schich’s research spans cultural analytics, aesthetic complexity, and big data applications in art and media. He explores visual communication trends, automated stance detection in polarizing topics, and the evolution of art through compression ensembles. His methodologies often involve network theory and machine learning. Publications: Recent works include frameworks for historical newsreel analysis (2024), interactive visualization tools for multidimensional datasets (2023), and computational approaches to art history and museum collections. His collaborations highlight cross-domain innovation in data science and humanities.

• Demographic convergence
• Normalized variability indices
• Gender gap
• +۷ مورد دیگر

Maria Rita Sebastiani is a Researcher at the Department of Methods and Models for Economy, Territory, and Finance of Sapienza University of Rome. She specializes in demographic convergence, well-being measurement, gender gap analysis, and composite indicators, with a focus on socioeconomic and territorial dynamics in Italy and Europe. Research Areas: Demographic convergence, well-being metrics, gender analysis, sustainable development Email: mariarita.sebastiani@uniroma1.it Her work includes multidisciplinary studies on fertility-well-being linkages, urban poverty, and sustainable development. She employs advanced statistical methods to analyze socio-demographic trends and policy impacts. Recent publications span topics like economic crises and food security , gender inequalities in labor markets , and smart city statistics , reflecting her expertise in translating complex data into actionable insights. Scientific Awards ERC SH7_3 ERC SH1_13 ERC SH3_5 She contributes to institutional research projects, including socio-cultural evaluation of ecosystem services, aligning with her focus on sustainable territorial development.

Ludovico CARRINOمشاهده پروفایل

پژوهشگر

• Economics
• Public Policy
• Social Inclusion
• +۳ مورد دیگر

Ludovico Carrino is a Researcher at the Department of Economics, Ca' Foscari University of Venice. His work focuses on multidisciplinary analyses at the intersection of economics, public policy, and health economics, particularly addressing social inclusion, pension systems, and long-term care in Europe. He collaborates with scholars like Luca Farnia, Silvio Giove, and Agar Brugiavini on comparative studies using datasets such as SHARE. Research Interests: Social inclusion metrics, European welfare models, pension sustainability, aging population economics, health policy. Key Publications: Articles in the Journal of the Royal Statistical Society, Social Science & Medicine, Health Economics, and contributions to Palgrave Pivot monographs.

• Human capital and Intergenerational Mobility
• Social norms and cooperation
• Economics of Institutions
• +۲ مورد دیگر

Rosetta Lombardo is a Researcher at the Department of Economics, Statistics and Finance 'Giovanni Anania' (DESF) at the University of Calabria. She holds a degree in Economic and Social Science (1992, cum laude), a Master of Arts in Economic and Social Studies (University of Manchester, 1995), and a Ph.D. in Political Economy (University of Naples 'Federico II', 2001). Ph.D., Political Economy, University of Naples 'Federico II' (2001) MA, Economic and Social Studies, University of Manchester (1995) B.S., Economic and Social Science, University of Calabria (1992) Research Interests : Human capital and intergenerational mobility, social norms and cooperation, economics of institutions, corporate social responsibility, and development economics. Her work spans regional sustainability, crime diffusion, and the role of social capital in economic performance. Recent Publications highlight environmental economics (tourism impacts, CO2 emissions), behavioral economics (gender and public speaking), and institutional analysis (trust, governance). She collaborates on projects involving Italian regional policy and EU structural funds. Labs & Research Groups : She contributes to the 'Divari di produttività, innovazione e politiche di sviluppo' group, focusing on productivity, innovation, and cohesion policies. Her lab activities include the Laboratorio di Analisi Economica and Laboratorio di Economia dello Sviluppo Regionale at DESF.

• Algorithms and Data Structures
• Big Data
• High-Performance Computing
• +۱۲ مورد دیگر

Francesco Silvestri is an Associate Professor in Computer Engineering at the Department of Information Engineering , University of Padova . He has held previous roles as Assistant Professor (2016-2019), Post-Doc (2015-2016 at IT University of Copenhagen; 2009-2014 at University of Padova), and Part-Time Lecturer (2013-2014 at IT University of Copenhagen). He earned a Ph.D. in Computer Engineering from the University of Padova (2009). Research Focus: Algorithms and data structures for big data processing, high-performance computing, similarity search, graph mining, I/O-efficient algorithms, mobility algorithms, and differential privacy applications. Teaching: Courses include Big Data Computing and Algorithm Design (University of Padova), Advanced Algorithms Seminar (IT University of Copenhagen). Scientific Contributions: ICDT Best Paper Award (2023) for subgraph enumeration ACM SIGMOD Research Highlights (2020) for fair similarity search Developed patented MapReduce methods for triangle enumeration Collaborations and Supervision: Current PhD students: Mariafiore Tognon (2024), Linghan Zeng (2023), Fabrizio Boninsegna (2022). Collaborators include Ninh Pham (University of Auckland), Gianfranco Bilardi, and Rasmus Pagh. Personal Interests: Active in Dottor Clown Padova for hospital clowning, family life with wife Elisa Salvagnin and three children, and cycling advocacy in Padova.

Martina Gregoriمشاهده پروفایل

استادیار

• Transport Economics
• Railways Performance
• Social Economic Costs
• +۳ مورد دیگر

Martina Gregori is an Assistant Professor (Ricercatore) at the Department of Computer, Control, and Management Engineering (DIAG), Sapienza University of Rome, where she has been a Post Doctoral Researcher since July 2021. Her academic foundation includes a Ph.D. in Industrial and Management Engineering from Sapienza University (2021), an M.Sc. in Management Engineering with research conducted at the University of Leeds' Institute for Transport Studies, and a Bachelor's in Management Engineering. Research Focus Gregori's research centers on two primary domains: Transport Economics : Railway performance, social cost quantification, intermodal competition, and congestion modeling, with applied work on electric rail systems and disruptive transport business models. Higher Education Systems : Performance benchmarking of institutions, heterogeneity analysis, and efficiency evaluation in European academic contexts. She has led projects funded by Sapienza University, ANAV, and MIUR, focusing on ICT impacts in transport and intermodal competition. Teaching & Tutoring Course Instructor: Economics of Technology and Management (Master's in Chemical Engineering). Tutor: Courses in Mechanical Engineering (Economics of Technology), Professional Specialization in Public Transport Management, and former tutor for Microeconomics and Public Authorities Management courses. Developed business simulations for Industrial Engineering laboratories. Professional Affiliations Italian Association of Management Engineering (AiIG) International Transport Economics Association (ITEA)

• Multivariate Data Analysis
• Tensor Analysis
• Compositional Analysis
• +۲ مورد دیگر

Michele Gallo is a Full Professor of Statistics at the Department of Human and Social Sciences , University of Naples L'Orientale, where he has taught statistical methods to master's students since 2020. His academic career includes roles as Associate Professor (2005-2011) and Researcher in Statistics. He currently serves on the Board of Directors at his university and the Steering Committee of the Italian Statistical Society. His research focuses on Multivariate Data Analysis , Tensor Analysis , Compositional Analysis , and Rasch Models , with applications in quality management and social sciences. Recent publications address robust multiway data analysis, sustainable sports metrics, and statistical software development in R. Key trends in his 15 most recent articles (2023-2025) include: Advancements in tensor decomposition methods for multidimensional data Applications of compositional data analysis in sustainability research Development of open-source statistical software packages Integration of machine learning with classical statistical techniques Evaluation frameworks for service quality and innovation

Federica Cugnataمشاهده پروفایل

دانشیار

• Biostatistics
• Medical Statistics
• Clinical Research
• +۳ مورد دیگر

Federica Cugnata is an Associate Professor at the University of Vita-Salute San Raffaele, specializing in Psychology and Biostatistics. Her research focuses on statistical methodologies applied to medical and biological systems, including gene therapy efficacy, immunological responses, and clinical trial design. She has held academic roles since 2016, including teaching responsibilities in statistics and data analysis across multiple disciplines. Her teaching includes courses such as 'Statistical Methods for Health Communication,' 'Multidimensional Data Analysis,' and 'Biostatistics for Medical Students.' She has contributed to over 63 publications, emphasizing innovative applications of statistical models in healthcare and molecular biology. Dr. Cugnata holds prestigious fellowships from the International Biometric Society, Società Italiana di Statistica, and CLAssification and Data Analysis Group. She actively participates in European research networks like COSTNET and EU-PEARL, advancing statistical approaches for network data science and platform trials.