جستجوی استاد راهنمای دانشگاهی

• Computational Mathematics
• Numerical Analysis
• Isogeometric Analysis
• +۳ مورد دیگر

Mattia Tani is a researcher at the Department of Mathematics, University of Pavia. He is affiliated with the Scientific Computing research group focusing on Numerical Methods and Applications. His work centers on developing advanced numerical techniques for computational mechanics, particularly Isogeometric Analysis (IGA), space-time methods, and efficient solvers. Tani’s research emphasizes computational efficiency through low-rank approximations, preconditioning strategies, and parallelization techniques. His academic contributions include pioneering work on matrix-free methods, Tucker tensor-based solvers, and domain decomposition approaches for multi-patch geometries. Notable methodologies include the IETI-DP method for discontinuous Galerkin discretizations and weighted quadrature rules for hierarchical B-splines. Tani also explores applications in parabolic problems, Schrödinger equations, and thermal engineering simulations. Publications highlight a focus on bridging theoretical numerical analysis with practical computational tools, with emphasis on scalability and robustness for large-scale problems. His work is disseminated across top journals and conferences, reflecting interdisciplinary collaboration between applied mathematics and engineering.

Alessandra RAFFAETA'مشاهده پروفایل

دانشیار

• Mobility Data Analytics
• Trajectory Data Warehousing
• Spatiotemporal Analysis
• +۵ مورد دیگر

Alessandra RAFFAETA' serves as Associate Professor in the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University of Venice, where her research bridges computer science with environmental applications through advanced mobility data analytics. Her research expertise spans several interconnected domains: Mobility Data Analytics and Trajectory Pattern Recognition Semantic Trajectories and Spatiotemporal Modeling Big Data Processing for Environmental Monitoring Marine Noise Pollution and Fisheries Management Privacy-Preserving Data Mining and Ethical Considerations Urban Mobility and Tourist Behavior Analysis Dr. RAFFAETA's scholarly output demonstrates a clear evolution from theoretical foundations in constraint logic programming to practical environmental applications. Her recent work (2021-2025) shows increasing focus on marine environmental challenges, particularly underwater noise characterization through semantic trajectories and analysis of fishing activities in the Adriatic Sea. A notable trend is her growing attention to ethical dimensions of mobility data usage, reflecting the field's maturation and societal implications. Her research methodology combines advanced trajectory data warehousing techniques with machine learning to extract meaningful patterns from complex spatiotemporal datasets. She has developed specialized frameworks for visual OLAP analysis on trajectory data and semantic enrichment of mobility information, with applications ranging from marine conservation to urban planning. Dr. RAFFAETA' actively contributes to the mobility data analytics community through workshops like the International Workshop on Big Mobility Data Analytics (BMDA) and collaborative research addressing real-world environmental challenges. Her work with marine scientists on fishing vessel tracking and with urban planners on Venice tourism patterns demonstrates strong interdisciplinary collaboration. Her laboratory work likely involves trajectory data management systems, semantic enrichment tools, and spatiotemporal analysis frameworks that enable both theoretical exploration and practical environmental monitoring applications.

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.

Andrea Galassiمشاهده پروفایل

استادیار

• Natural Language Processing (NLP)
• Machine Learning
• Argument Mining
• +۵ مورد دیگر

Andrea Galassi is a Junior assistant professor (RTD-A) at the University of Bologna's Department of Computer Science and Engineering (DISI), part of the Language Technologies Lab led by Paolo Torroni. He holds a PhD in Computer Science and Engineering from the University of Bologna (2021), with a dissertation on integrating deep neural networks and symbolic knowledge. His postdoctoral research included roles at Stanford, Imperial College London, and the Humane-AI-Net European project on ethical AI. He also served as an Adjunct Professor at the University of Bologna. His research focuses on Machine Learning, Natural Language Processing (NLP), and neuro-symbolic techniques applied to argument mining, legal text analysis, and ethical AI. Notable projects include the FAIR initiative (developing scalable AI techniques), CLAUDETTE, PRIMA, and ADELE legal analytics projects, and StairwAI's horizontal matchmaking services. He is an expert in argument mining for judicial decisions and automated analysis of privacy policies. Galassi has taught over 300 hours of courses, ranging from foundational computer science to advanced NLP topics. He holds National Scientific Qualification for Associate Professor in Computer Engineering (ASN 2023-2025). His recent work emphasizes ethical AI applications, misinformation detection, and AI-driven legal systems, with publications in areas like cross-lingual legal benchmarking (LEXTREME) and subjectivity detection in news media. He leads projects on AI for social impact, including chatbots for asylum seekers and privacy-preserving dialogue systems. His lab participates in CLEF challenges on news credibility and legal argumentation analysis, demonstrating expertise in collaborative AI frameworks and real-world societal applications.

Johann Gamperمشاهده پروفایل

استاد

• Temporal Databases
• Time Series Analysis
• Query Processing
• +۳ مورد دیگر

Johann Gamper is a Professor and Head of the Database Systems Group at the Free University of Bozen-Bolzano. He previously served as Vice-Rector for Research (2018-2024) and Vice-Dean for Studies (2014-2018). Education: Information not provided in text. Research Focus: His core research investigates data-intensive systems with emphasis on temporal data management, time series analysis, and efficient query processing. His team combines fundamental research with system development for applications in governance, tourism, healthcare, and agriculture. Current projects include temporal RDBMS extensions, time series motif mining, and multidimensional range count approximation. Publication Trends: Recent work addresses temporal query optimization, time series classification, and generative approaches for e-commerce data. His research demonstrates consistent innovation in temporal data handling and database performance optimization. Teaching: Currently teaches Database Management Systems and advises PhD students in temporal database research.

Michael Shekelyanمشاهده پروفایل

مدرس

• Data Management
• Database Systems
• Differential Privacy
• +۵ مورد دیگر

Dr. Michael Shekelyan is a Lecturer (Assistant Professor) in Computer Science at Queen Mary University of London (2023–present), part of the School of Electronic Engineering and Computer Science. He holds a PhD in Computer Science from the Free University of Bozen-Bolzano (2018) and a Diploma in Media Informatics from Ludwig Maximilian University of Munich (2014). Previously, he worked as a Research Associate at King's College London (2021–2023) and a Research Fellow at the University of Warwick (2018–2021). His academic journey includes roles as a Meta-Reviewer for NeurIPS and ICDT Proceedings Chair (2024), with extensive service as a reviewer for top conferences like ICML, NeurIPS, ICLR, and journals such as TKDE and IEEE T-IFS. Research Interests: Focuses on algorithms and data structures for managing large/sensitive datasets, including differential privacy, random sampling (e.g., Hidden Shuffle Method), and multidimensional data summarization (e.g., DigitHist). His work bridges theoretical guarantees with practical applications in data management and machine learning. Notable contributions include privacy-preserving top-k selection, efficient sampling over joins, and error-bounded data summaries. Publications: Over 15 peer-reviewed articles in top venues including SIGMOD, ICDE, EDBT, AISTATS, and PVLDB. Key works include 'Streaming Weighted Sampling over Join Queries' (EDBT'23), 'Sequential Random Sampling Revisited' (AISTATS'21), and 'Sparse Prefix Sums' (Information Systems'19, which won an ADBIS award). Grants/Awards: Received the ADBIS'17 Award for Sparse Prefix Sums. Active in organizing conferences and mentoring early-career researchers through reviewing roles. Current projects include a PhD studentship on privacy-preserving algorithms for medical data sharing. Labs/Teams: Leads the Privacy-Preserving Algorithms initiative at Queen Mary, collaborating with international research networks in database systems and data privacy.

Maurizio Valleمشاهده پروفایل

استاد

• Electronic Engineering
• Embedded Systems
• Machine Learning
• +۴ مورد دیگر

Maurizio Valle serves as Full Professor and PhD Program Coordinator at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) of the University of Genoa. His teaching portfolio includes graduate-level courses such as Digital Systems and Electronic Devices for the Master's program in Electronic Engineering, with active instruction scheduled through the 2025-2026 academic year. His research program centers on embedded machine learning systems for tactile sensing applications, with particular emphasis on FPGA implementations of neural networks for real-time sensor data processing. Key focus areas include neuromorphic engineering approaches to tactile texture classification, PVDF sensor analysis for slippage detection, and hardware-efficient implementations of convolutional networks for hand-gesture recognition in prosthetic systems. This work bridges electronic engineering, robotics, and biomedical applications through the development of electronic skin technologies and sensor fusion methodologies. Analysis of his 15 most recent publications (2024-2025) reveals a concentrated research trajectory in real-time embedded solutions for tactile perception systems. Dominant themes include hardware acceleration of neural networks on FPGA/microcontroller platforms, biomimetic sensor design inspired by cutaneous mechanoreceptors, and practical implementations for the Hannes prosthetic hand. The publications demonstrate methodological rigor in sensor characterization while prioritizing computational efficiency for resource-constrained embedded deployment. As PhD Program Coordinator at DITEN, Professor Valle oversees doctoral research in electronic engineering disciplines, mentoring students in specialized areas including embedded AI systems and tactile sensor development. His academic leadership extends to curriculum development for graduate engineering programs at the University of Genoa. His laboratory work focuses on integrated electronic skin systems for prosthetic applications, featuring custom sensor arrays, embedded processing units, and neuromorphic computing architectures. Current projects involve multimodal sensory feedback systems for upper-limb prostheses and real-time object recognition frameworks using wearable sensor gloves, indicating active collaboration with biomedical engineering and robotics research groups.

Vitorocco Peragineمشاهده پروفایل

استاد

• Inequality Analysis
• Equality of Opportunity
• Public Economics
• +۳ مورد دیگر

Vitorocco Peragine is a Full Professor of Political Economy at the University of Bari Aldo Moro, serving as Director of the Department of Economics and Finance and a member of the Academic Senate. He specializes in inequality analysis, equality of opportunity, and public economics. His research focuses on multidimensional inequality measurement, poverty dynamics, and the interplay between economic development and opportunity distribution. Recent work explores Lorenz and Gini metrics, intertemporal inequality, and policy implications for European and Sub-Saharan contexts. His 15 most recent publications emphasize inequality decomposition methods, labor market equity in Europe, multidimensional poverty frameworks, and poverty measurement challenges in Italy. Key interdisciplinary themes include social welfare, distributional ethics, and policy evaluation.

Sandro Mancinelliمشاهده پروفایل

دانشیار

• Public Health
• Epidemiology
• HIV/AIDS Research
• +۵ مورد دیگر

Sandro Mancinelli is an Associate Professor in Hygiene and Public Health at the Department of Biomedicine and Prevention, School of Medicine, University of Rome Tor Vergata, Italy. His research focuses on epidemiology, global health, HIV/AIDS prevention, and aging-related health challenges. He holds an MD (1979), a specialty in Hygiene and Preventive Medicine (1982), and a PhD in Epidemiology and Microbiology (1987). Educational Background: 1979: MD 1982: Specialty in Hygiene and Preventive Medicine 1987: PhD in Epidemiology and Microbiology (La Sapienza University) Research Interests: Public health interventions targeting vulnerable populations (e.g., elderly, migrants) Epidemiological modeling of infectious diseases HIV/AIDS prevention and maternal-child health in sub-Saharan Africa (via the DREAM program) Frailty assessment and healthcare system optimization for aging populations Occupational health risks (e.g., asbestos exposure) Key Projects: DREAM program (1999–2012): Fought HIV/AIDS and malnutrition in Africa BRaVE Project: Developed vaccination strategy tools Italian Ministry of Health initiatives (e.g., drug surveillance networks) Scientific Output: Over 200 publications including 95 peer-reviewed articles, 103 abstracts/posters, and 8 books. Research spans aging, global health, and infectious disease control. Grants and Collaborations: Extensive experience in international health programs, including work with the Italian Ministry of Foreign Affairs and the National Research Council (CNR). Labs/Teams: Leads public health training programs at Tor Vergata University and collaborates with institutions like the Roman Public Health Academy.

• Economic History
• Welfare Measurement
• Poverty Analysis
• +۴ مورد دیگر

Professor Giovanni Vecchi is a leading academic in Economic History at the University of Rome Tor Vergata. His primary research focuses on welfare measurement, poverty analysis, and inequality dynamics. He specializes in historical and contemporary studies using household budget data, spatial cost-of-living analysis, and composite indices evaluation. Vecchi teaches courses on economic inequality and poverty at the undergraduate level, contributing to both bachelor's and master's programs. His work spans Italy, Bhutan, Madagascar, and Iraq, addressing poverty dynamics, cost-of-living disparities, and policy impacts. Notable contributions include developing the OUTDETECT Stata module for outlier detection and pioneering methodologies for setting poverty lines in diverse contexts. Vecchi's research emphasizes methodological rigor, bridging historical analysis with contemporary policy challenges. Publications highlight interdisciplinary approaches, integrating econometrics with economic history. His studies on Italy’s long-term economic growth (1861–2011) and child labor patterns demonstrate deep engagement with national socioeconomic trends. Despite no explicit mentions of awards, his work has shaped academic discourse on poverty measurement and spatial inequality.

EMANUELE STORTIمشاهده پروفایل

دانشیار

• Semantic Web
• Knowledge Graphs
• Data Lakes
• +۷ مورد دیگر

EMANUELE STORTI serves as an Associate Professor in the Department of Information Engineering at the Faculty of Engineering, Marche Polytechnic University (UNIVPM) in Ancona, Italy. His scientific sector is classified as IINF-05/A - Information Processing Systems. He maintains an active presence at the university with regular office hours on Thursdays from 15:00 to 16:00 at his office located at via Brecce Bianche, 60121 Ancona. Professor Storti's research spans multiple domains within information systems, with particular expertise in semantic technologies and knowledge representation. His work focuses on developing semantic models for performance indicators, knowledge graphs for industrial applications, data lake architectures, and IoT integration systems. He has made significant contributions to the fields of data quality assessment, ontology engineering, and multidimensional data analysis. Analysis of his recent publications (2023-2025) reveals a strong emphasis on knowledge graph applications across various domains including Industry 5.0, environmental impact assessment, and medical applications. His work demonstrates a consistent focus on semantic approaches to solve complex data integration and analytics challenges, particularly in industrial and environmental contexts. The research shows increasing sophistication in handling multidimensional data sources and developing frameworks for semantic representation of complex systems. Professor Storti appears to be actively engaged in the academic community through participation in symposia and workshops, as evidenced by his contributions to the Italian Symposium on Advanced Database Systems and specialized workshops like MADTECC focused on medical applications with digital twins.

Carmela Galdiمشاهده پروفایل

دانشیار

• Telecommunications
• Remote Sensing
• Radar Systems
• +۳ مورد دیگر

Carmela Galdi is an Associate Professor at the Department of Engineering, University of Sannio, Italy. Her research focuses on telecommunications engineering, with a strong emphasis on remote sensing technologies, radar/satellite signal processing, and environmental monitoring applications. Key research areas include: Advanced CFAR detection techniques for radar systems GNSS-R (Global Navigation Satellite System Reflectometry) for land and ocean altimetry Wind speed retrieval algorithms using satellite data Speckle reduction in SAR (Synthetic Aperture Radar) imagery Multi-spectral thermal anomaly detection Development of MATISSE, a meteorological aviation support system Her publications span from 1996 to 2024, showing sustained expertise in radar signal processing, satellite communication systems, and environmental data analysis. While no formal scientific awards are documented in the provided materials, her collaborative work with institutions like CIRA (Italian Aerospace Research Centre) and multiple international projects indicates significant professional impact. Recent work includes comparative studies of CYGNSS and Sentinel-1 wind speed products for tropical cyclone monitoring, and the development of adaptive mobility systems for smart transportation. She has contributed to GNSS-R coherent signal focusing techniques to enhance spatial resolution, and has co-authored foundational studies on multidimensional signal detection in Gaussian clutter environments. Her research frequently intersects with: Climate science applications Digital communication systems Geospatial data analysis Environmental hazard detection Advanced mathematical modeling Signal processing for aviation safety

Andrea Billiمشاهده پروفایل

استاد

• Economic Development
• Policy Analysis
• Territorial Development
• +۵ مورد دیگر

Andrea Billi is a Professor at the Department of Legal and Economic Studies , Sapienza University of Rome, with a focus on political economy, regional development, and cultural economics. He holds a PhD in Economics from Sapienza (2001) and was a Visiting Research Fellow at Duke University (1998-1999). Education : PhD in Economics (2001), Laurea in Political Sciences (1994) Key Roles : Director of Consorzio Sapienza Innovazione (2019-); Senior Policy Analyst at OECD (2014-2017); Coordinator of international research centers like CIDEM (2005-2014) His research spans territorial development , social innovation , and energy transition , with recent publications addressing climate resilience, organic waste sustainability, and inclusive urban environments. Articles highlight interdisciplinary approaches combining economics, policy analysis, and environmental science. Scientific Awards : Expert for the World Bank's Annual Development Medals Additional Responsibilities : Founder of RoME (Rome Museum Exhibition), where he coordinates international cultural initiatives; active in EU-funded projects like ACTORS, WASAMED, and NENA.

• Multivariate Statistics
• Data Analysis
• Clustering Algorithms
• +۴ مورد دیگر

Laura Bocci has been an Associate Professor of Statistics at Sapienza University of Rome since 2022. Previously, she worked as a researcher at Sapienza University from 1998–2000 in the Department of Communication and Social Research, later moving to the Department of Social and Economic Sciences in 2020. She earned her PhD in Methodological Statistics (XII Cycle, 2000) from Sapienza University, where she also graduated with honors in Statistical and Economic Sciences. Current Department: Department of Social and Economic Sciences Faculty: Faculty of Political Science, Sociology, Communication Office Location: Room 107, Building CU002 (Political Sciences), Sapienza University Campus Teaching: Statistics (A-K) and Data Science for Social Research Her research focuses on Multivariate Statistics , Data Analysis , and Statistical Methods with applications in social sciences, economics, and data clustering. She has developed novel techniques in dimensional reduction , model-based clustering , unsupervised classification , multidimensional scaling , and genetic algorithms . Her work often addresses complex data structures , including three-way data and multilevel models. Publications highlight trends in regional competitiveness , well-being analysis , clustering methodologies , and genetic algorithm applications . Key subfields include three-way data analysis , spatial clustering , and categorical variable optimization . Office hours are held Tuesdays 14:00–16:00 in person or via Google Meet (by appointment). She teaches courses in Statistics and Data Science for Social Research using Sapienza’s e-learning platform.