جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Applied Artificial Intelligence
• Machine Learning
• +۱۲ مورد دیگر

Alessandro Aliberti is a fixed-term assistant professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino. He is actively engaged in teaching and research with a focus on artificial intelligence and sustainable urban systems. He serves as an invited member of the College of Management and Production Engineering and the Planning and Design College. His research interests include applied artificial intelligence, machine learning, battery simulation, building energy simulation, co-simulation, cyber-physical systems, and forecasting. These areas are applied to critical challenges in sustainable cities, clean energy, and climate action, aligning with UN SDGs 7, 11, and 13. His recent publications (2024–2025) demonstrate a strong trend in applying machine learning to energy systems, urban modeling, and cybersecurity. Key themes include deep learning for urban building analysis, solar irradiation estimation, EV battery health monitoring, and power grid forecasting for renewable integration. Scientific Awards and Recognitions: RIMINI SCHOOL 2025 “SUCCESSFULLY PARTICIPATE IN CALLS FOR RESEARCH FUNDING” – Politecnico di Torino (13-05-2025) Effective communication with businesses – Politecnico di Torino (12-05-2025) He has taught courses such as IoT platforms for spatial analytics in smart energy systems at the PhD level and contributed as a course collaborator in Introduction to ICT and Computer Science across multiple engineering programs. While no formal advisees are listed, his teaching roles span assistant, main teacher, and collaborator across academic years 2021–2026. There is no mention of specific grants or lab affiliations in the provided text.

Francesco Di Filippoمشاهده پروفایل

پژوهشگر

• Ancient Near East History
• Archaeology
• Syro-Anatolian Studies
• +۹ مورد دیگر

Francesco Di Filippo serves as a First Researcher at the Italian National Research Council (CNR), specializing in the history and archaeology of the ancient Near East with particular focus on the Syro-Anatolian region during the 2nd and 1st millennia BC. His expertise encompasses chronology problems, legal formularies, and archival practices of ancient Near Eastern societies. Dr. Di Filippo coordinates the "Sinleqiunnini" project since 2005, a comprehensive initiative for the informatization and semi-automatic processing of logo-syllabic writing systems of the ancient Near East. This has resulted in significant digital resources including the Middle Euphrates Digital Archive and the Ebla Digital Archives. Since 2011, the project expanded to Mediterranean sources through collaboration with Dr. Maurizio Del Freo, developing the Liber project for Linear B texts. His second major research line involves geographic-quantitative approaches to historical geography, featuring HGIS applications for archaeological data from Arslantepe in Turkey, where he collaborates with Professor Marcella Frangipane of Sapienza University of Rome. His scholarly work demonstrates a sophisticated integration of traditional archaeological methods with cutting-edge digital tools, advancing the fields of digital epigraphy and spatial analysis in Near Eastern studies. This interdisciplinary approach has significantly contributed to understanding ancient legal systems, archival practices, and the spatial organization of Bronze Age communities across Anatolia and Mesopotamia. Dr. Di Filippo's publications reflect consistent scholarly output across prestigious journals and edited volumes, showcasing expertise in both traditional archaeological analysis and innovative digital methodologies for processing ancient texts and reconstructing historical landscapes.

Gianmarco Cherchiمشاهده پروفایل

استادیار

• Computer Graphics
• Geometry Processing
• Surface Mesh Generation
• +۱۲ مورد دیگر

Gianmarco Cherchi is a Tenure-Track Assistant Professor and Computer Science Researcher in the Department of Mathematics and Computer Science at the University of Cagliari, Italy, where he also completed his PhD. He teaches courses in Data Visualization and Web Programming at the undergraduate level. His research lies at the intersection of Computer Graphics and Geometry Processing, with a strong focus on surface and volumetric mesh generation, optimization, digital fabrication, and polycube-based modeling. His work combines algorithmic innovation with practical applications in fabrication, visualization, and interactive systems. The recent publications highlight a consistent trend in advanced hexahedral meshing techniques (e.g., HexBox, VOLMAP), robust geometric computation (e.g., mesh booleans), and interactive tools (e.g., ProtoSketchAR, Py3DViewer). His research spans theoretical algorithm development, benchmark creation, and applied systems for VR/AR and simulation. His scientific accolades include the Young Investigator Award 2024 from the Shape Modeling International Organization, and prior Best Thesis Awards from the Eurographics Italy Association for both his M.Sc. and Ph.D. work. Cherchi actively collaborates with researchers such as Marco Livesu, Riccardo Scateni, and others, contributing to major surveys and state-of-the-art methods in hexahedral meshing. His work is supported by publications in top venues like ACM Transactions on Graphics (SIGGRAPH), Computer Graphics Forum (Eurographics), and IEEE VR. He has also developed practical software tools like Py3DViewer for geometry processing prototyping. He leads research in digital fabrication pipelines, as evidenced by publications on polycube decomposition for manufacturing and automated flat pattern generation. His lab work involves developing interactive and robust systems for 3D modeling and analysis.

Margherita Velucchiمشاهده پروفایل

دانشیار

• Business Demography
• International Trade
• Financial Econometrics
• +۳ مورد دیگر

Margherita Velucchi is an Associate Professor of Economic Statistics at Università Europea di Roma (since 2012) and a part-time Professor at New York University Florence (since 2005). She holds a degree in Statistical and Economic Sciences, a postgraduate course in Economics, and a PhD in Economics (2005) from Università di Siena. Education: Degree in Statistical and Economic Sciences, Università di Siena Postgraduate course in Economics, Università di Siena PhD in Economics, Università di Siena (2005) Her research focuses on statistical models for business demography, international trade, and financial econometrics. Recent work explores regression models on quantiles and business survival models tied to company internationalization. She employs advanced methods like multilevel modeling and volatility analysis to study firm competitiveness and market dynamics. Publications emphasize international trade, financial volatility, labor productivity, and firm survival, frequently using quantile regression and spatial analysis. Collaborations include the Italian Trade Agency (since 2007), Fondazione Cassa di Risparmio di Torino (since 2016), and Università Tor Vergata (since 2016).

Gloria Moroniمشاهده پروفایل

پژوهشگر

• Political Economy
• Labor Economics
• Socioeconomic Disparities
• +۴ مورد دیگر

Gloria Moroni is a Researcher in the Department of Economics at Ca' Foscari University of Venice , specializing in Political Economy (SSD: ECON-01/A). She actively contributes to research on intergenerational socioeconomic effects, child development economics, and gender role dynamics. Research Focus : Labor economics, poverty persistence, and family structure impacts Teaching : Courses in International Economics and Development Studies Her recent work examines pandemic-induced shifts in gender norms, grandparental labor effects on child education, and parental investment in socio-emotional skills. She participates in the AGE IT project (funded by PNRR Recovery Funds) addressing aging societies through public-private collaboration. Current affiliations include the San Giobbe Economic Campus in Venice. Contact: gloria.moroni@unive.it .

• Health Economics
• Inequality
• Education Economics
• +۳ مورد دیگر

Angelica Guzzon is a Post-doctoral Researcher at the Department of Economics, Ca' Foscari University of Venice, where she also completed her PhD in Economics (2020-2025) under supervisors Mammi Irene and Zantomio Francesca. Her work focuses on health economics with applications in dementia care, health literacy, and tourism policy. Education: PhD in Economics, Ca' Foscari University of Venice (2020-2025) Master Degree in International Economics, University of Padova (2016-2018) Bachelor Degree in Economics and Management, University of Padova (2013-2016) Advanced Methods for Impact Evaluation, IRVAPP (January 2023) Applied Health Econometrics and Health Policy, University of Bergamo (July 2022) Spatial Health Econometrics, VERA Center (July 2022) Summer Institute on Ageing, Venice International University (June 2018-2019) Her research examines economic disparities in healthcare access, particularly regarding dementia interventions and health literacy determinants. She investigates how education influences health outcomes using longitudinal ageing data, while also analyzing tourism economics through destination branding frameworks for Italian coastal regions. Methodologically, she specializes in health econometrics and cost-effectiveness analysis. Publications from 2021-2024 reveal dual research trajectories: health economics (60% of output) focusing on dementia care systems and health literacy, and tourism economics (40%) analyzing seaside destination branding. Her health studies predominantly use systematic reviews and longitudinal datasets like the English Longitudinal Study of Ageing, while tourism work employs spatial analysis and online reputation metrics.

Elena Renzulloمشاهده پروفایل

مربی

• Public Economics
• Public Policy
• Political Economy
• +۲ مورد دیگر

Elena Renzullo is a Postdoctoral Fellow at the Department of Geography and Environment, London School of Economics (LSE), specializing in political economy and public economics. Previously, she served as a Ph.D. candidate and teaching staff member at Ca' Foscari University of Venice's Department of Economics from 2019-2024, instructing exercise sessions for Economic Policy and Public Finance courses across three academic years (2020/2021-2022/2023). Her educational trajectory features: Ph.D. in Economics, Ca' Foscari University of Venice (2019-2024; completed May 2024) Advanced Master's in Public Policy and Social Change, Collegio Carlo Alberto (2018-2019) Master of Science in Economics, University of Turin (2016-2018; thesis: 'Ideology or voters? An empirical analysis of why left-wing governments spend more') International Master in Public Finance, University of Rennes 1 (2017-2018) Bachelor's in Economics and Business, University of Turin (2013-2016) Renzullo's research integrates administrative data and counterfactual methods to investigate how local policies shape electoral support and how policymaker characteristics influence outcomes. Her work bridges political economy, economic geography, and public finance, with particular emphasis on European Union cohesion policy impacts, government spending determinants, and fiscal federalism dynamics. She employs spatial econometrics and policy evaluation frameworks to address questions of governance and electoral behavior. Her sole publication to date—the 2025 Journal of Economic Geography article on EU cohesion policy's electoral effects—exemplifies her methodological approach combining spatial analysis with policy impact assessment. This work reflects emerging trends in empirical political economy research that leverage granular administrative data to examine subnational policy spillovers. No scientific awards were documented in the source materials. While no advised students or research grants were specified, Renzullo's academic trajectory includes research affiliations with the Center for Research on Pension and Welfare Policies (CeRP) at Collegio Carlo Alberto and visits to the Cañada-Blanch Centre (LSE) and Gran Sasso Science Institute (GSSI) during doctoral studies.

Leonardo Impettمشاهده پروفایل

استادیار

• Digital Humanities
• Computational Humanities
• Computer Vision
• +۶ مورد دیگر

Leonardo Impett serves as Assistant Professor in Digital Humanities at the University of Cambridge's Faculty of English and Bye-Fellow in Digital Humanities at Selwyn College, Cambridge. He also leads a research group at the Bibliotheca Hertziana. Previously, he was Assistant Professor of Computer Science at Durham University and Digital Humanities Scientist at the Bibliotheca Hertziana - Max Planck Institute for Art History in Rome. His research uniquely bridges artificial intelligence and art history, focusing specifically on bias and visual ideology in AI systems from an art historical perspective. With a background in information engineering and machine learning, he combines technical expertise with deep humanities knowledge to develop novel approaches for analyzing visual culture through computational methods. His recent publications reveal a strong trend toward interdisciplinary work connecting computer vision with art historical analysis, particularly examining how AI systems interpret and potentially bias visual cultural heritage. His research spans technical AI development, art historical analysis, and critical examination of digital methodologies in cultural institutions. Digital Humanities Fellow at Villa I Tatti – Harvard University Center for Italian Renaissance Studies (2018) Scientific Assistant/Scientist at Bibliotheca Hertziana (2018-2020) PhD in Computer Vision for Art History at EPFL Impett actively collaborates with major cultural institutions including the Liverpool Biennial, Royal Opera House, and Whitney Museum of American Art, applying machine learning to practical challenges in arts and culture. His work demonstrates how technical AI research can be meaningfully integrated with humanities scholarship to produce insights valuable to both domains.

• Geometry
• Algebraic Topology
• Pure Mathematics

Arvid Perego serves as an Associate Professor in the Department of Mathematics at the University of Genoa, Italy. His primary academic responsibilities include teaching Geometry and Algebraic Topology courses across undergraduate and graduate programs in Mathematics and Management Engineering. His research centers on advanced geometric structures and topological methods in pure mathematics. Geometry focuses on spatial properties and transformations, while Algebraic Topology employs algebraic invariants to classify topological spaces and continuous mappings. These fields form foundational pillars of modern mathematical research with applications in theoretical physics and data analysis. Scientific recognition: No specific awards or fellowships documented in current institutional records Teaching assignments demonstrate consistent engagement with core mathematical disciplines, though no details regarding graduate student supervision, research grants, or laboratory affiliations appear in available documentation. His curriculum contributions span foundational Geometry for Management Engineering and specialized graduate-level Algebraic Topology instruction.

Emily Georgiadesمشاهده پروفایل

پژوهشگر

• Molecular Biology
• Computational Biology
• Gene Regulation
• +۳ مورد دیگر

Emily Georgiades is a postdoctoral researcher at Human Technopole's Bienko Group, where she applies molecular and computational biology approaches to investigate spatial organization of transcription factors in the cell nucleus. Her work focuses on elucidating novel gene expression mechanisms through multi-omics data integration during cellular differentiation. PhD in Genomic Medicine and Statistics from University of Oxford (2023) MSci in Natural Sciences (Chemistry with Biology) from University of Bath (2017) Her research combines genome engineering, live-cell imaging, and computational analysis to study chromatin dynamics. While currently no scientific awards are listed, her work builds on advanced methodologies from her doctoral studies on cohesin's role in genome architecture regulation.

Francesca Maruccoمشاهده پروفایل

دانشیار

• Animal Ecology
• Predator-Prey Interactions
• Habitat Selection
• +۷ مورد دیگر

Francesca Marucco is an Associate Professor at the University of Turin, affiliated with the Department of Life Sciences and Systems Biology. Her research focuses on animal ecology, population dynamics, and conservation of large carnivores, particularly wolves in the Italian Alps and Europe. Expertise in non-invasive genetic analysis, GIS, and spatiotemporal modeling Active in wildlife policy integration and Natura 2000 conservation measures Teaches courses in Animal Biology, Wildlife Management, and Environmental Sustainability Her work spans predator-prey interactions, habitat selection, landscape genetics, and human-wildlife coexistence. She contributes to the LIFE WOLFALPS EU project, aiming to improve wolf-human coexistence.

• Bayesian inference
• Biostatistics
• Clinical trials
• +۷ مورد دیگر

Mauro Gasparini is a Full Professor at the Department of Mathematical Sciences (DISMA) of Polytechnic University of Turin. He serves as Director of DISMA since 2019, Member of Academic Senate, and co-leader in the SmartData@PoliTO Big Data Laboratory. His career spans academia and industry, including roles at Purdue University (Assistant Professor 1992-1996) and Novartis (Senior Statistician 1996-1998). He has been Editor of Biometrical Journal (2012-2015) and maintains referee activities across international journals. PhD from University of Michigan (1992, Dirichlet process applications) Academic leadership: Department Director, Editorial boards, ISTAT Advisor Research spans Bayesian methodology with biomedical applications Maintains collaborations with Novartis, Chiesi, and research centers His research interests focus on Bayesian inference , Biostatistics , and Clinical trials methodology, particularly addressing issues in pharmaceutical development, genomic data analysis, and medical decision-making. Recent work includes vaccine efficacy modeling, optimal imaging timing for cancer diagnostics, and adaptive trial designs. Key publication trends show interdisciplinary applications in Statistics in Medicine , Biometrics , and Statistical Methods in Medical Research , with emphasis on biomedical data science, Bayesian adaptive methods, and clinical decision support systems. Scientific contributions include: Editor, Biometrical Journal (2012-2015) Advisor, Italian National Institute of Statistics (2020-2024) Leadership in multiple research projects (NODES, SORGENTE, IDEAS) As PhD advisor, he supervises students in: Shaoshi Tang (Clinical trial modeling) Saeed Sani (Biomedical data analysis) Marco Ratta (Genomic statistics) Luca Rondano (Bayesian methods) Vittorio Zampinetti (Tumor DNA sequencing) Fulvio Di Stefano (Evidence-based decision statistical methods) He leads research projects in pharmaceutical statistics, genomic surveillance, and spatial risk assessment frameworks, with recent emphasis on SARS-CoV-2 analysis and cancer progression modeling.

Enrico Tronciمشاهده پروفایل

استاد

• Model Checking
• Cyber-Physical Systems
• Software Engineering
• +۷ مورد دیگر

Enrico Tronci is a Full Professor in the Department of Computer Science at Università degli Studi di Roma La Sapienza , Italy. His research focuses on model checking, formal verification, and synthesis of cyber-physical systems, with applications to mission-critical and safety-critical domains such as space systems, smart grids, and healthcare. He leads the Model Checking Lab (MCLab) and has coordinated numerous national and international research projects funded by organizations including the European Community (EC), European Space Agency (ESA), and Italian Ministry of University and Research (MUR). Research Highlights : Automatic control software synthesis from closed-loop specifications Model checking algorithms for hybrid and stochastic systems Technology transfer in sectors like energy, transportation, and aerospace Teaching : Undergraduate: Software Engineering (Fall 2024) Graduate: Automatic Verification of Intelligent Systems (Fall 2024), Verification and Validation of Intelligent Systems (Spring 2025) Scientific Awards : Recipient of the IBM-Italia 1987 prize for best thesis in Artificial Intelligence Publications Trends : 2024: Scaling up model checking for cyber-physical systems via HPC 2023: Hormonal impact on behavior and fault-tolerant sensor deployments 2021-2022: In silico clinical trials, smart grid management, and scenario enumeration 2020: AI-guided diabetes patient modeling and forensic psychiatry applications Software Tools : QKS (Quantized Kontrol Synthesizer) NashMV (MAD systems verification) CMurphi (Hybrid systems model checker) FHP-Murphi (Probabilistic verification) BSP (Boolean symbolic programming)

Chiara Aquinoمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Geospatial Analysis
• Land Cover/Use Change Mapping
• +۳ مورد دیگر

Chiara Aquino is a Researcher at the CMCC Foundation's Institute for Climate Resilience within the Impacts on Agriculture, Forests and Ecosystem Services Division, specializing in geospatial analysis and remote sensing applications for environmental monitoring. Her work focuses on land cover change mapping and tropical forest degradation assessment across global ecosystems. Her academic background includes a PhD in Atmospheric and Environmental Sciences from the University of Edinburgh (UK), where she conducted field research in Amazon and Central African rainforests using integrated remote sensing, aerial LiDAR, and ground inventory methodologies. Dr. Aquino's research integrates satellite image processing with critical geoethics frameworks, emphasizing open science principles in environmental data analysis. She develops innovative approaches for detecting subtle ecological changes through multi-sensor satellite data fusion and advanced spatial statistics. Her publication record demonstrates expertise in applying Sentinel-1/2 time-series data for Mediterranean forest fire detection and high-resolution optical analysis for tropical logging identification, revealing methodological advances in 3m-resolution texture analysis. Scientific Awards: No scientific awards documented in available information Advising and Grants: No student advising relationships or research grant funding sources specified in current documentation. Her collaborative work emphasizes open-data sharing practices within international environmental research networks. Labs and Teams: She operates within the Impacts on Agriculture, Forests and Ecosystem Services Division at CMCC Foundation's Viterbo headquarters, contributing to climate resilience initiatives through field campaign design and satellite data interpretation frameworks.

Matteo Giulianiمشاهده پروفایل

دانشیار

• Water Resources Management
• Multi-Objective Optimization
• Reinforcement Learning
• +۷ مورد دیگر

Matteo Giuliani is an Associate Professor at Politecnico di Milano, leading research in the Environmental Intelligence for Global Change Lab. His work focuses on integrating artificial intelligence with water resource management under global change scenarios. PhD in Information Technology (2014, Politecnico di Milano) Alta Scuola Politecnica Diploma (2011) MSc in Environmental and Land Planning Engineering (2010, Politecnico di Milano & Torino) His research bridges machine learning and water systems engineering through applications in: Climate change adaptation design Multi-agent negotiation for resource allocation Extreme event detection and attribution Decision-making under deep uncertainty Recent publications show expertise in reinforcement learning for reservoir operations, autoencoder applications to heat wave analysis, and AI-driven climate data downscaling . He serves as Section Editor for the Journal of Water Resources Planning and Management and Associate Editor for Frontiers in Water .