جست‌وجوی استاد و پژوهشگر

Leonardo Giannantoniمشاهده پروفایل

پژوهشگر

• Computer architectures
• Computer aided design
• Computer graphics
• +۱۰ مورد دیگر

Leonardo Giannantoni is a PhD Student in Control and Computer Engineering at the Polytechnic University of Turin (2021-2024) and a current Research Engineer at the same institution. His work focuses on bio-inspired and AI-driven algorithms for modeling, simulating, and optimizing complex systems, with applications in synthetic biology , structural biology , and healthcare technology . Education PhD in Control and Computer Engineering (2024, Polytechnic University of Turin) MSc in Computer Engineering (2016, Polytechnic University of Turin) BSc in Computer Engineering (2014, Polytechnic University of Turin) Giannantoni's research spans multiple domains, including reinforcement learning for genetic networks , co-simulation in biofabrication , and virtual reality rehabilitation systems for Parkinson's disease. His work integrates machine learning with biological modeling , leveraging parallel computing and software engineering principles. Recent publications highlight his expertise in AI-driven structural biology , synthetic oscillatory networks , and privacy tools like tracker blockers. His Biology System Description Language (BiSDL) provides a framework for multicellular synthetic biological systems design. Scientific Contributions Member of the Focus Group of Researchers (2023-) Giannantoni has served as a Teaching Assistant for courses on Systems Programming and Algorithms , and contributed to open-source projects like nwn-petrisim (Petri Nets simulator) and microgp4 (evolutionary computing toolkit). His work bridges academic research and practical software development for complex systems.

• Numerical Analysis
• Geometric Modeling
• Approximation Theory
• +۳ مورد دیگر

Lucia Romani is a Full Professor in Numerical Analysis at the Department of Mathematics, University of Bologna. She holds a PhD from the University of Padua (2004) and a Master's Degree in Mathematics (summa cum laude) from the University of Bologna (2000). Her research focuses on geometric modeling, approximation theory, numerical linear algebra, and applications in computer-aided design and image processing. She has authored over 80 scientific publications and serves on editorial boards of journals like Computer-Aided Design and Computer Aided Geometric Design . She actively participates in SIAM and the Solid Modeling Association (SMA), holding leadership roles such as Vice Chair of the SIAM Activity Group on Geometric Design (2023-2024) and Program Co-Chair of SPM 2025. Her work includes organizing international conferences and supervising numerous theses across PhD, Master's, and Bachelor's levels. Her professional journey includes roles at the University of Milan-Bicocca (2007-2022) and postdoctoral fellowships at the University of Bologna (2003-2007) and the University of Cambridge (2002). She has conducted research visits at institutions like the University of Cambridge, EPFL, and ICTP Havana. She has also served on evaluation committees for doctoral theses and research projects in Italy and abroad. Research interests span subdivision schemes, Pythagorean Hodograph curves, and spline-based interpolation. Her recent work includes advancements in algebraic characterizations of curves, non-stationary subdivision algorithms, and applications in biomedical imaging and computer graphics.

• International Publishing Industry
• Book Covers
• Contemporary Graphic Design
• +۲ مورد دیگر

Alessandro Bigardi-Dep is a Temporary Professor at the University of Verona since 2007, specializing in publishing studies. He leads the Master of Publishing Program and teaches courses such as Applied Publishing and Contemporary Publishing . Before his academic role, he held professional experience in publishing and communications. He holds degrees in Media Studies , Packaging Science , and Art History , and is currently pursuing a PhD at Sapienza University of Rome. His research focuses on the international publishing industry , book cover design , and the history of books and publishing . He heads the Research Group in History of Books and Publishing , exploring publishing products and their cultural impact. A key project, Storia del paperback (History of the Paperback), was initiated in 2017, examining mass-market publishing models. He advises on editorial processes and contributes to interdisciplinary research through the Centro di ricerca SKENÈ and DAIH - Digital Arena for Inclusive Humanities . His work bridges academia and professional practice, emphasizing contemporary graphic design and digital publishing trends.

• Network Science
• Graphical Models
• Causality
• +۳ مورد دیگر

Veronica Vinciotti is an Associate Professor in the Department of Mathematics at the University of Trento. She holds a PhD in Statistics from Imperial College London (2002) and a First Degree in Mathematics from the University of Perugia (1999). Her academic career includes roles at Brunel University London as Lecturer (2007-2012), Senior Lecturer (2012-2017), and Reader (2017-2020) before joining the University of Trento in 2020. Her research focuses on Network Science, Graphical Models, Causality, and Biostatistics. Key contributions include advancements in sparse inference, causal generalized linear models, and applications to microbiome interactions and healthcare quality evaluation. She leads the PRIN 2022 project and has coordinated initiatives like COSTNET (2016-2020). Editorial roles include Editor of Statistica Neerlandica and guest editorships for special issues on Network Science. She has advised six PhD students and contributed to R packages like cglasso and sglasso . Her work bridges statistical methodology with applications in biology, healthcare, and sociology. Recent grants include funding from the Research Council of Finland and Swedish Research Council. She is a member of the Bernoulli Society and Royal Statistical Society, and has organized conferences such as the International Workshop on Statistical Modelling (2024) and sessions at the Isaac Newton Institute (2016).

• Building Information Modeling (BIM)
• Digital Twin
• Interoperability
• +۱۶ مورد دیگر

Matteo Del Giudice is a Fixed-term Assistant Professor (RTD-A) at the Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino. He holds a Ph.D. in Innovation Technology for the Built Environment and has been actively engaged in research and teaching since 2009. He is a core member of the drawingTOthefuture research laboratory led by Prof. Anna Osello, focusing on BIM, digital twins, and virtual/augmented reality applications in architecture and urban development. His research interests include Building Information Modeling (BIM), digital twin technologies, interoperability, smart cities, sustainable healthcare, facility management, and energy efficiency in buildings. He explores the integration of BIM with GIS and VR/AR to optimize data management for existing architectural heritage and supports climate neutrality goals through digital innovation. His work spans civil engineering, architectural design, and human-computer interaction, with applications in both public infrastructure and healthcare environments. His recent publications highlight advancements in semantic HBIM for digital inclusion, BIM-digital twin integration for electrical systems, and cognitive digital twins for big data management. These works reflect a strong trend toward intelligent, data-driven building systems and decision support tools in urban and industrial contexts. Effective member - U.I.D. UNIONE ITALIANA PER IL DISEGNO, Italia (2017-) Matteo Del Giudice supervises PhD students Daniel Rodriguez Polania and Michele Zucco. He leads several research projects, including DTF4EA (Digital Twin Factory for energy assessment) and an algorithm combining BIM, VR, and IoT for automating environments for patients with neurodegenerative diseases. He has also secured multiple commercial contracts and teaching initiatives focused on BIM education. He teaches courses such as BIM and Construction Management, Energy in Smart Buildings, and BIM for Smart Cities at both graduate and doctoral levels. He is affiliated with the drawingTOthefuture laboratory, where interdisciplinary research and training in digital design and representation are conducted. The lab serves as a hub for innovation in BIM, digital twins, and immersive technologies, fostering collaboration between academia and industry.

Marco Geraciمشاهده پروفایل

استاد

• Statistical Methods in Health Sciences
• Quantile Inference
• Random-Effects Models
• +۹ مورد دیگر

Marco Geraci is a Professor at the Department of Methods and Models for Economy, Territory and Finance at Sapienza University of Rome . He teaches courses such as Statistics for Health Economics and Computational Tools for Finance . His research focuses on Statistical Methods in Health Sciences , including Quantile Inference , Random-Effects Models , Multivariate Statistics , and Missing Data Analysis . He also specializes in Accelerometer Data , Physical Activity , and Pediatric Oncology . His recent publications emphasize Quantile Regression applications in Public Health , Environmental Science , and Health Economics . Methodological contributions include Directional Quantile Classifiers , Functional Quantile Regression , and Laplace Distribution Projections . Themes span Biostatistics , Surgical Safety , and Maternal/Child Health Disparities .

Lea Petrellaمشاهده پروفایل

استاد

• Quantile regression
• Graphical models
• Random Forest
• +۳ مورد دیگر

Lea Petrella is a Full Professor at the Department of Methods and Models for Economics, Territory, and Finance, Sapienza University of Rome. She teaches courses in Time Series Analysis and Advanced Statistical Methods , focusing on practical applications using R software. Research Interests: Quantile regression, Graphical models, Hidden Markov Models, Risk measures, and Time Series analysis Key Projects: Generalized Dynamic Graphical Models for pandemic impacts, Penalized quantile regression for risk assessment, Multivariate quantile regression frameworks Her recent publications include: 2025: Mid-quantile mixed graphical models for public shootings 2025: Spatial quantile random forests for economic mobility 2024: Expectile hidden Markov models for cryptocurrency returns 2024: Mixed-frequency quantile regressions for risk forecasting She supervises postdocs and PhD students including Maria Saiz, Beatrice Foroni, and Valentina Raponi. Her work spans financial risk modeling, environmental statistics, and biomedical applications. Email: Lea.Petrella@uniroma1.it or lea.petrella@uniroma1.it

Roberto Marmoمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Social Media Mining
• +۴ مورد دیگر

Roberto Marmo is a Professor of Computer Science at the University of Pavia since the 2022/23 academic year. His research spans multiple domains including Artificial Intelligence , Computer Vision , and Social Media Mining . He earned his PhD in Information Engineering at Pavia's Computer Vision and Multimedia Lab after completing a Computer Science degree at the University of Salerno. Core Expertise: Data Science, AI Algorithms, Scientific Visualization Industry Applications: Anti-fraud Systems, Tourism Analytics, Transportation Sign Recognition His academic work demonstrates consistent interdisciplinary innovation: 2020: Encyclopedia contributions on Cybersecurity and Social Engineering 2017: Market analysis through social media mining 2010: Social network architecture research Key collaborations include: IBM's Web 2.0 Security Encyclopedia Italian Tourist Railways Association (application of IT to heritage tourism) Academic-Industry Partnerships in transportation sign recognition His technical contributions include: Neural network applications in geological analysis Operational risk visualization frameworks SOS gesture recognition systems e-learning performance dashboards Available for consulting and training services in AI, data analysis, and scientific visualization.

• Sustainable Design
• Circular Economy
• Design for Food Systems
• +۷ مورد دیگر

Eleonora Fiore is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, where she actively contributes to teaching and research in sustainable design and systems innovation. She teaches core design courses such as Concept Design and Modelling, Drawing and Rendering for Design in the Sustainable Design for Food Systems undergraduate program. Her research spans interdisciplinary domains focusing on sustainable design, circular economy, and digital integration in socio-technical systems. Key areas include the Internet of Things (IoT), life cycle management of electronic products, participatory visual identity development, and digital ecosystems for tourism in inner areas. Her work emphasizes systemic and collaborative approaches to environmental and societal challenges. The recent publications demonstrate a strong trend toward systemic design solutions for sustainability, particularly in waste valorization (e.g., plasmix) and digital transformation in underdeveloped regions. Her research integrates design thinking with engineering and environmental management, often in international collaborations. She has no listed scientific awards in the provided text. Dr. Fiore supervises design projects and collaborates on research platforms but no formal advisees are mentioned. Her work is embedded in applied, practice-led research with real-world implementation, particularly in circular economy and digital platform development. There is no mention of external grants or funding sources. She is involved in collaborative research initiatives such as the PHOENIX project on plasmix waste and B4R's visual identity design, reflecting engagement in multidisciplinary teams focused on sustainability and community-driven innovation.

• Architectural Design
• Architectural Survey
• Descriptive Geometry
• +۷ مورد دیگر

Andrea Zerbi is an Associate Professor in the Faculty of Architecture at the University of Parma, Department of Civil and Environmental Engineering and Architecture. He teaches core courses including Architectural Drawing, Digital Representation, Construction Design, and New Methods in Architectural Survey across multiple degree programs such as Architecture, Civil Engineering, and Sustainability-focused curricula. He has been a continuous academic presence since 2006 and remains active as of the 2025/2026 academic year. His research focuses on architectural design, surveying, and digital representation , particularly in the context of historical and monumental architecture. He has led and participated in numerous national (MURST, PRIN, COFIN) and international research initiatives, including projects in Italy, Albania (Durres Amphitheater), and Syria (Damascus Citadel). His work emphasizes 3D modeling, laser scanning, photogrammetry, and computerized documentation systems for built heritage. His most recent publications (2024–2025) reflect a strong trend in integrated 3D surveying of complex heritage sites , digital reconstruction, and the historical-constructive analysis of religious and urban architecture. These works demonstrate a consistent focus on methodological innovation in architectural representation and conservation. While no scientific awards are explicitly listed in the provided text, his involvement in high-profile international collaborations and long-standing research leadership indicates professional recognition. He serves as a tutor for master’s students in Architecture and City Sustainability programs. Andrea Zerbi is a member of the PhD College in Architecture Shapes and Structures at the University of Parma and has contributed to major research groups coordinated by Prof. Paolo Giandebiaggi and Prof. Carlo Blasi. His work involves interdisciplinary teams focusing on structural analysis, heritage documentation, and urban redevelopment.

Roberto CASARINمشاهده پروفایل

استاد

• Econometrics
• Computational models
• Macroeconomics
• +۶ مورد دیگر

Roberto CASARIN is a Full Professor at the Department of Economics, Ca' Foscari University of Venice. His roles include Member of the Board of the Department of Economics, Erasmus Delegate, and Deputy Director of the International Master in Economics, Finance and Data Science. He is affiliated with the European Center for Living Technology and the Research Institute for Complexity. His research focuses on computational econometrics, dynamic models for economic analysis, stochastic volatility, and Bayesian methods applied to finance and energy markets. Key projects include Discrete Random Structures for Bayesian Learning (MUR Grant 2023-2025), EeDaPP Energy Efficiency Data Portal (EU H2020 2018-2020), and GRINS Sustainable Finance (MIUR 2022-2024). His work spans over 150 publications, with recent contributions on tensor regression, Markov switching models, and antithetic sampling techniques. He serves as Associate Editor for Bayesian Analysis , Econometrics , and Econometrics and Statistics . Awards and recognitions are not explicitly listed in the text, but his extensive editorial roles and funding indicate significant academic impact.

• Construction Engineering
• Project Management
• Building Information Modeling (BIM)
• +۳ مورد دیگر

Fabio Manzone serves as an External Lecturer at the Department of Structural, Building and Geotechnical Engineering (DISEG) of the Polytechnic University of Turin. He teaches Project and Site Management, Construction and Project Management, and BIM-related courses for the Building Engineering program across multiple academic years from 2019/20 to 2025/26. His research spans Construction Engineering, Project Management, Building Information Modeling (BIM), and Facility Management. Key focus areas include safety assessment in urban heritage renovation, LEAN-BIM integration for building production, stadium facility management, structural testing of bolting assemblies, and automated BIM validation systems. Analysis of his 2021-2023 publications reveals consistent interdisciplinary work bridging civil engineering, computer science, and management. His research demonstrates practical applications in heritage conservation, sports infrastructure, and construction safety through digital tool integration.

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.

Stefano Federico Tonellatoمشاهده پروفایل

دانشیار

• Statistical space-time models
• Statistical model choice
• Semiparametric models
• +۷ مورد دیگر

Stefano Federico Tonellato is an Associate Professor at the Department of Economics, Ca' Foscari University of Venice. His academic responsibilities include serving as Departmental Delegate for Information Technology Infrastructure. 1992: Degree in Economics, Ca' Foscari University of Venice 1993-1994: Visiting student, Department of Statistics, Warwick University (UK) 1996: PhD in Statistics, University of Padua His research focuses on statistical modeling for economic, financial, and environmental applications, with expertise in Bayesian nonparametric clustering, space-time models, semiparametric methods, and computational statistics. He has participated in EU research networks and regionally-funded health monitoring projects. Recent publications explore Bayesian clustering as community detection in financial data, health workforce forecasting, and spatio-temporal modeling. His work emphasizes predictive analytics and complex data structures. As a referee, he evaluates research projects for institutions like the University of Padua and contributes to journals including the Journal of the Royal Statistical Society and Computational Statistics and Data Analysis. He supervises theses in applied statistics for economics, finance, and environmental studies, requiring pre-discussion agreement on topics.

Massimiliano Gibertiمشاهده پروفایل

دانشیار

• Architectural Design
• Urban Composition
• Interior Design
• +۲ مورد دیگر

Massimiliano Giberti is an Associate Professor at the Department of Architecture and Design (DAD) within the Polytechnic School of the University of Genoa . He coordinates the PhD program in Architecture and Design and teaches courses in Architectural Theory, Architectural and Urban Design, and Interior Design. Roles: PhD Program Coordinator, Teachings in Architectural Theory and Urban Design Affiliation: CEAR-09/A Research Group Research interests focus on architectural theory, urban composition, spatial transformations, and the intersection of art with public spaces. His recent publications explore themes like domestic metamorphosis, adaptation to hostile environments, and semiotic analysis of urban artifacts. His work addresses critical design methodologies, human-space interactions, and the cultural implications of architectural forms. While no scientific awards are explicitly mentioned, his leadership in academic programs highlights his institutional impact.