جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Earthquake Engineering
• Structural Dynamics
• +۸ مورد دیگر

Rosario Ceravolo is a Full Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin , where he conducts cutting-edge research in structural dynamics, earthquake engineering, and structural health monitoring with a focus on architectural heritage. He is a member of the Interdepartmental Center R3C (Responsible Risk Resilience Center) and the University Quality Assurance Committee, reflecting his leadership in academic and research governance. His research interests include: Dynamic identification of structures Seismic assessment and protection of cultural heritage Structural health monitoring (SHM) Natech (natural-technological) risk Earthquake engineering and structural control His recent publications demonstrate a strong trend toward integrating advanced computational techniques, satellite data, and experimental monitoring for assessing historical and modern structures. Key themes include modal tracking, digital twinning, ferrocement durability, and data fusion for heritage conservation. His work bridges civil engineering and heritage science, often involving interdisciplinary collaborations. Scientific Awards and Recognitions: Keeping it Modern Implementation Grant, Getty Foundation (2019) Fellow, ICOMOS (2024–) Fellow, ISCARSAH (2014–) Fellow, American Society of Civil Engineers (1999–) Evaluator, Rita Levi Montalcini Program (2018) Advising and Grants: He supervises multiple PhD students in architectural and civil engineering programs and leads several major research initiatives, including EU-funded and national projects such as REcube (Erasmus+), OPTIMISE, SAT4SHM, and CAMELOT. He serves as Scientific Director for numerous research contracts with public and private institutions, including long-term monitoring projects at the Vicoforte Sanctuary and Torino Esposizioni. Research Labs and Teams: He leads activities in the Dynamics and Seismic Laboratory (DISEG) and is involved in research networks such as ICOMOS-ISCARSAH and IASS-WG17, fostering international collaboration in structural analysis and heritage conservation.

• Sensor network data analysis
• Crowdsourced data analysis from citizen science initiatives
• Statistical modeling and analysis of spatio-temporal data
• +۳ مورد دیگر

Francesco Finazzi is a full professor of statistics (SECS-S/02) at the Department of Economics of the University of Bergamo and maintains a research affiliation with the School of Mathematics and Statistics at the University of Glasgow. He is internationally recognized as the founder of the Earthquake Network citizen science initiative (www.sismo.app), which pioneered the first globally implemented smartphone-based seismic early warning system. His research expertise spans sensor network data analysis, crowdsourced data from citizen science initiatives, statistical modeling of spatio-temporal data, and parallel scientific software development. He has made significant contributions to developing statistical methodologies for earthquake parameter estimation using smartphone sensor networks and has advanced techniques for analyzing environmental time series data. His recent publications reveal a strong research trajectory focused on earthquake early warning systems, spatio-temporal environmental modeling, and statistical approaches to crowdsourced seismic data. His work uniquely bridges statistics, seismology, and computer science to develop practical, real-world early warning solutions that leverage mobile technology and citizen participation. Finazzi has secured substantial research funding as Principal Investigator for the University of Bergamo in major Horizon 2020 projects, including RISE (Real-time earthquake risk reduction for a ReSilient Europe, 2019-2023, €8,000,000) and TURNkey (Towards more Earthquake-resilient Urban Societies through a Multi-sensor-based Information System, 2019-2022, €7,999,948). He leads the Earthquake Network initiative, a groundbreaking citizen science project that has created the first operational smartphone-based seismic early warning system worldwide. This platform not only provides early warnings but also facilitates rapid impact assessment and supports search and rescue operations following seismic events.

• Survey Methodology
• Economic Statistics
• Big Data Analysis
• +۳ مورد دیگر

Daniele Toninelli is an Associate Professor of Economic Statistics (SECS-S/03) at the University of Bergamo's Department of Economics, where he also serves as Director of the 'Data Analyst for Strategic Decisions' program, Internship Manager for the department, and member of the School of Economics and Management's Joint Teacher-Student Commission. His educational background includes a PhD in Marketing for Business Strategies (University of Bergamo, 2009), Master's in Statistics for Market Research (University of Milan-Bicocca, 2004), and Degree in Statistical and Economic Sciences (University of Milan-Bicocca, 2003). Toninelli's research focuses on: Survey and web survey methodology design and optimization Integration of big data for economic and social indicators Development of price indexes and composite indicators Social media analytics for economic measurement His work bridges statistical theory with applications in labor markets, sustainability metrics, and environmental data analysis. Teaching activities encompass undergraduate and graduate courses including Economic Statistics, Quantitative Methods for Business Data Analysis, Advanced Business Statistics, and specialized 'Data Skills' modules covering visualization, survey methods, and SAS certification preparation. International research collaborations include visiting positions at Statistics Canada (2008-2013), University of Ottawa (2012-2013), VŠB-Technical University of Ostrava (2012-2013), RECSM at Universitat Pompeu Fabra (2014), and guest lectures at University of Ljubljana (2018). He previously served on the management committee of the WEBDATANET network (COST Action IS1004). Professional experience includes roles at PiTre Milan, IBM Semea/Celestica, and Multiplex Arcadia, applying statistical expertise in industrial settings.

• Cognitive Psychology
• Educational Technologies
• Teaching and Learning
• +۷ مورد دیگر

Eleonora Bilotta is a Full Professor of General Psychology at the Department of Physics, University of Calabria, Italy. She is the coordinator of the Ph.D. Course in Psychology of Programming and Artificial Intelligence and vice-coordinator of the Ph.D. Course in Science, Engineering of Environment, Construction, and Energy. Her research spans interdisciplinary fields such as cognitive psychology, educational technologies, artificial life, and mathematical modeling of behavior. Prof. Bilotta has over 150 publications and has contributed to journals like Complexity and International Journal of Bifurcation and Chaos . She led initiatives like the COMSON project (EU-funded) for e-learning platforms and directed the Evolutionary Systems Group (ESG). She also organized conferences such as the International Conference on Simulation of Adaptive Behavior and the Workshop on Artificial Life. Her work bridges science and art, leveraging chaos theory for creative design and educational tools. She collaborates globally, including with institutions like Bergische Universität Wuppertal and Chapman University. Her labs focus on cognitive science, modeling, and simulation, emphasizing innovation in education and technology.

Patrizia Saviمشاهده پروفایل

دانشیار

• GNSS Reflectometry
• Microwave Characterization of Materials
• Graphene Nanoplatelets
• +۳ مورد دیگر

Patrizia Savi is a Tenured Associate Professor at the Polytechnic University of Turin within the Department of Electronics and Telecommunications. She actively participates in the Power Electronics Innovation Center (PEIC) and serves as a Senior Member of IEEE and the International Union of Radio Science . Teaching: She has been the Titolare del corso for 'Campi Elettromagnetici' (Electromagnetic Fields) since 2019-2021 at the Polytechnic University of Turin. Key Collaborations: Works with researchers across Italy and international institutions on projects involving GNSS-R for environmental monitoring. Research Interests: Her work focuses on GNSS Reflectometry for soil moisture retrieval, carbon-based composites (graphene, biochar, nanotubes) for microwave applications, and graphene tunable devices including biosensors. She also explores electromagnetic shielding using sustainable materials. Recent Publication Trends: Recent work emphasizes machine learning integration with GNSS-R data, biochar composite shielding in construction materials, and graphene-based biosensors for glucose and HRP detection. Key applications span climate action , environmental monitoring , and medical diagnostics . Scientific Awards: IEEE Fellow (2016-) IEEE Senior Member (2016-) International Union of Radio Science Senior Member (2024-) Advising: Supervises PhD students Simone Gaetano Ballaera and Fabio Peinetti , focusing on graphene sensors and tunable devices.

Silvia FAGGIANمشاهده پروفایل

دانشیار

• Mathematical Economics
• Actuarial Sciences
• Financial Mathematics
• +۳ مورد دیگر

Silvia Faggian is an Associate Professor at Ca' Foscari University of Venice's Department of Economics. She serves as the Department's Delegate for Entrance Exams and Additional Learning Requirements in Mathematics. Her research focuses on mathematical methods in economics, actuarial sciences, and financial mathematics, with particular expertise in network theory, optimal control, and spatial economics. Research interests span mathematical economics, network externalities, spatial resource allocation, dynamic optimization, and economic growth models. Her work frequently applies advanced mathematical techniques to economic systems and resource distribution problems. Publications demonstrate sustained focus on dynamic optimization problems, spatial economics, and network-based economic modeling. Recent work emphasizes resource competition in networked systems and growth models with externalities, while earlier publications established foundational contributions to vintage capital theory and optimal control applications. Teaching activities include coordination of mathematics entrance requirements and undergraduate mathematics instruction within the economics curriculum.

• Electric Machines
• Finite Element Analysis
• Open Source Software
• +۳ مورد دیگر

Simone Ferrari is a Fixed-term Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and affiliated with the College of Electrical and Energy Engineering and College of Mechanical, Aerospace and Automotive Engineering as an invited member. His research focuses on electric machines, finite element analysis, and open-source software development for electromagnetic systems. He has supervised multiple PhD students in electrical engineering and has contributed to commercial consulting projects such as the design of electric motors for lifting applications and supervision of high-power motor development. Teaching responsibilities include courses on Propulsion of Hybrid and Electric Vehicles, Applied Electromagnetism, and Electrical Machines across multiple academic years. His work emphasizes multiphysics simulation, data-driven modeling, and the development of efficient traction motors for electric vehicles. Key research outputs include advancements in flux-map-based modeling, fault-tolerant motor designs, and thermal/structural scaling techniques for synchronous machines. Dr. Ferrari holds a patent for a method to identify spatial harmonic flux and torque maps without torque transducers. His recent publications (2024-2025) address challenges in electric motor efficiency, fault performance, and NVH mitigation, reflecting his commitment to advancing sustainable power electronics and clean energy technologies aligned with SDGs 7 and 9.

• Accessibility and Inclusion
• Sustainable Building Materials
• Architectural Conservation
• +۳ مورد دیگر

Daniela Bosia is a Full Professor at Politecnico di Torino's Department of Architecture and Design (DAD), where she serves as academic advisor for disability/DSA integration. Her research integrates civil engineering, cultural heritage, and societal wellbeing through four key pillars: 1) Sustainable construction using agri-food waste (e.g., wool/hemp insulation), 2) Accessibility and inclusive design in healthcare/urban spaces, 3) Conservation of modern/rural architecture, and 4) Circular economy applications in building technology. Her publications (2017-2025) demonstrate strong cross-disciplinary focus: Materials Innovation : 35% address circular economy solutions like stone waste composites and natural fiber insulation Inclusive Design : 40% explore accessibility frameworks for healthcare, heritage sites, and housing Heritage Conservation : 25% document 20th-century industrial techniques and rural landscape preservation She leads significant EU/PNRR projects including: 3A-ITALY Spoke 2 (2023-2025): Circular economy in Italian manufacturing FITNESS (2014-2016): Sustainable textile insulation ARV Climate Positive Communities (2022-2025) Current PhD supervisions focus on: Modern construction materials documentation (F. Ramirez) Accessible signage systems (G. Beltramino) Participatory design methodologies (C. Rolletto) She coordinates three research centers: Accessibility & Heritage, Architecture for Health (AxS), and Mountain Architecture Institute.

Andrea Vinciمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Edge-Cloud Computing
• Internet of Things (IoT)
• +۵ مورد دیگر

Andrea Vinci is an accomplished researcher with 66 publications and 1,261 citations, specializing in the intersection of quantum computing, edge-cloud architectures, and Internet of Things (IoT) systems. His work demonstrates significant contributions to solving complex computational problems through innovative approaches that bridge theoretical quantum algorithms with practical distributed computing applications. His research interests span quantum computing applications for resource management, multi-density clustering techniques for urban analytics, and platform-independent IoT application development. Vinci has pioneered work in variational quantum algorithms for cloud/edge resource allocation, quantum kernels for IoT data classification, and distributed AI for cognitive building systems. His research demonstrates a consistent focus on addressing NP-hard problems through quantum-classical hybrid approaches. Analysis of Vinci's publication trends reveals a strategic research trajectory moving from foundational work in smart city analytics and crime prediction toward cutting-edge quantum computing applications for IoT and edge-cloud systems. His recent publications (2023-2025) show increasing focus on quantum machine learning techniques specifically tailored for IoT data processing, with significant attention to practical implementation challenges. Vinci maintains an extensive collaborative network, frequently publishing with researchers including Fabrizio Marozzo, C. Mastroianni, J. Settino, and Antonio Guerrieri across multiple high-impact venues including IEEE Transactions, ACM conferences, and specialized journals in quantum computing and distributed systems. His technical contributions include the development of the COGITO platform for cognitive buildings, novel approaches to multi-density crime prediction, and significant advancements in quantum kernel methods for IoT data analysis. Vinci's tutorial publications indicate his role in educating the broader research community about emerging quantum computing applications for distributed systems.

• Building Physics
• Lighting Engineering
• Cultural Heritage Conservation
• +۷ مورد دیگر

Anna Pellegrino is a Confirmed Associate Professor in the Department of Energy (DENERG) at the Polytechnic University of Turin, where she also serves as a Member of the FULL Interdepartmental Center - Future Urban Legacy Lab. Her academic career spans over three decades with continuous involvement in doctoral education since 2003 across various research programs including Architectural Heritage, Technological Innovation for the Built Environment, and Energy. Her research focuses on the intersection of lighting engineering, cultural heritage conservation, and sustainable building design. Key areas include daylighting systems, energy demand for lighting, light and human factors, lighting controls, and visual comfort assessment. Her work bridges technical building physics with cultural and human dimensions of the built environment, particularly addressing how lighting affects health, wellbeing, and heritage conservation. Analysis of her recent publications reveals a strong trend toward interdisciplinary research connecting environmental quality assessment with human health outcomes. Her work increasingly incorporates sensor technologies for monitoring indoor environmental quality while maintaining a consistent focus on lighting applications in both architectural heritage and contemporary sustainable design contexts. The research demonstrates progression from fundamental lighting technologies toward holistic building performance evaluation. Full Member - Illumination Engineering Society (IES), United States (2020-) Member of the Executive Committee - Italian Lighting Association AIDI, Italy (2018-) Full Member - Italian Technical Physics Association, Italy (2016-) Full Member - International Commission for Illumination (CIE), Austria (2010-) Full Member - Italian Lighting Association AIDI, Italy (1994-) Professor Pellegrino actively supervises doctoral students in Energy and Architectural Heritage programs while leading numerous research initiatives. Her grant portfolio includes competitive national research projects, European Union collaborations, and commercial consulting contracts with municipal governments and private sector clients. Current projects focus on biophilic lighting systems, public lighting optimization, and energy-efficient building retrofits. She also participates in significant collaborative agreements with municipal entities including the Municipality of Lagnasco and the City of Turin. She leads research activities within the TEBE Research Group (DENERG) and collaborates with the LAMSA Laboratory for Analysis and Modeling of Environmental Systems (DAD). Her team conducts field studies, develops monitoring methodologies, and creates practical solutions for lighting applications in heritage conservation and sustainable urban development. Current work emphasizes the relationship between lighting environments and human health outcomes in both interior and exterior contexts.

• Transportation Planning
• Mobility Behaviors
• Multimodal Transport Systems
• +۳ مورد دیگر

Marco Diana is a Full Professor in the Department of Environmental, Land and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin, specializing in transportation planning and sustainable mobility. His academic career spans over two decades with significant contributions to multimodal transport systems, travel behavior analysis, and urban mobility solutions. Professor Diana's research interests encompass Transportation Planning, Mobility Behaviors, Multimodal Transport Systems, Sustainable Urban Transport, Travel Demand Analysis, and Shared Mobility Services. His work focuses on understanding how people interact with transportation systems, particularly examining the adoption and impact of shared mobility services like car-sharing, bike-sharing, and scooter-sharing systems in urban environments. His recent publications reveal a strong focus on shared mobility services, with particular attention to stakeholder perspectives, socio-demographic factors influencing adoption, and the spatial impacts of these services on urban infrastructure. The research shows a clear progression from traditional transportation planning toward data-driven analysis of emerging mobility services and their integration into sustainable urban transport systems. Accessit prize for the best paper of the joint ECRI-FERSI seminar conferred by ECTRI, France (2003) Fellow of the Transportation Research Board (2017-present), Member of the standing committee 'Travel Survey Methods' Fellow of the Transportation Research Board (2011-2020), Member of the standing committee 'Urban Transportation Data and Information Systems' Editorial board member of Transportation Research Record (2019-present) Editorial board member of European Transport Research Review (2008-2020) Professor Diana actively supervises PhD students including Amirehsan Charlang Bakhtyari and Erika Olivari, while previously guiding Ehsan Amirnazmiafshar to completion. His research is supported by numerous competitive grants including EU-funded projects such as GILL (2023-2025), STARS (2017-2020), SUITS (2016-2020), and DEMONSTRATE (2015-2017), with a focus on sustainable urban mobility solutions. His work bridges academic research with practical applications through commercial research contracts addressing specific urban transport challenges in Italian cities.

• Design for Cultural Heritage
• Innovative Materials
• Packaging Design
• +۵ مورد دیگر

Doriana Dal Palù is an Associate Professor at the Department of Architecture and Design (DAD), Polytechnic University of Turin, specializing in Design for Cultural Heritage , Innovative Materials , and Product Sound Design . She serves as Program Coordinator for the Bachelor's Degree in Design and Communication and leads international collaborations with institutions like IRCAM (Paris) and TU Delft (NL). Her research focuses on Technological Paradigm Shifts in materials, including the AI-TW (transparent wood) and BIOMAPS (biobased polymers) Horizon Europe projects. She founded MATto, a materials library with over 1,000 sustainable materials, and explores sensory design through packaging and architectural acoustics. Key publication trends include Sustainability , Material Innovation , and Acoustic Design . She mentors PhD student Riccardo Caradonna and contributes to design education through international conferences.

• Numerical Cognition
• Animal Behavior
• Comparative Psychology
• +۴ مورد دیگر

ROSA RUGANI is an Associate Professor at the University of Padua, Italy, specializing in cognitive and developmental psychology with a focus on numerical cognition. Her work explores how numerical and spatial representations emerge in non-human animals and humans, particularly through studies on domestic chicks, rhesus monkeys, zebrafish, and insects. She investigates foundational questions about innate numerical abilities, spatial-numerical associations, and the evolutionary origins of mathematical concepts. Her research integrates behavioral experiments, comparative approaches, and developmental studies to understand cross-species cognition. Research interests include proto-arithmetic capacities in animals, the mental number line in non-linguistic species, and the interaction between animacy, numerosity, and spatial processing. She has pioneered studies demonstrating that newborn chicks exhibit left-to-right spatial-numerical associations similar to humans, suggesting evolutionary conservation of these mechanisms. Her work challenges anthropocentric views of numerical cognition, emphasizing cognitive capacities in animals. Rugani's studies often use interdisciplinary methods, combining behavioral testing with computational modeling and neurobiological insights. She has contributed to debates on the biological basis of numerical concepts, the role of early environmental influences on cognitive development, and the relationship between numerical processing and other cognitive domains like object individuation and spatial attention.

• Nuclear Medicine
• Prostate Cancer Imaging
• Radiomics
• +۳ مورد دیگر

Giorgio Brembilla is a Researcher in Medicine at the Vita-Salute San Raffaele University, specializing in medical imaging and oncology. His research focuses on advanced imaging techniques such as PET/MRI and PSMA-based radiotracers for prostate cancer diagnosis and management. He leads studies on lymph node detection, radiomics signatures, and predictive modeling for surgical outcomes. His work integrates clinical, imaging, and genomic data to improve diagnostic accuracy and treatment strategies. Affiliations: Vita-Salute San Raffaele University, Department of Medicine (implied). Teaching: Courses include 'Imaging in Urology' and 'Imaging of the Musculoskeletal System.' Key research interests include the development of hybrid imaging workflows, AI-driven segmentation of tumor lesions, and risk stratification models for kidney and prostate cancers. His recent studies address external validation challenges in radiomics and the impact of imaging quality on prostate cancer detection. Publications highlight contributions to PSMA PET-based radiomics, preoperative risk calculators, and the diagnostic accuracy of hybrid imaging modalities. Collaborations focus on translational research bridging imaging and clinical oncology.

Franco ZAMBONELLIمشاهده پروفایل

استاد

• Pervasive Computing
• IoT (Internet of Things)
• Multiagent Systems
• +۷ مورد دیگر

Franco ZAMBONELLI is a Full Professor in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia. He holds positions in both the Reggio Emilia and Modena campuses, offering courses such as Software Engineering and Distributed Artificial Intelligence. His research focuses on IoT, pervasive computing, multiagent systems, and self-organization in distributed systems, with applications in smart cities, healthcare, and mobility. He leads projects like FLUIDWARE (PRIN 2017) and CONNECARE (H2020), exploring adaptive IoT systems and integrated healthcare solutions. ZAMBONELLI is an IEEE Fellow, ACM Distinguished Scientist, and member of the Academia Europaea. His work bridges theory and practice, emphasizing software engineering methodologies for IoT and agent-based systems. Education: Not explicitly detailed in provided texts. Research Grants: FLUIDWARE (2019-2022), CONNECARE (2016-2019). His research interests include causal discovery in pervasive environments, reinforcement learning for cybersecurity, and digital twin technologies. He contributes to editorial boards of journals like ACM Transactions on Autonomous and Adaptive Systems and IEEE Technology and Society Magazine. His teaching spans software engineering, distributed AI, and IoT-oriented methodologies. The Agents and Pervasive Computing Lab (agentgroup.unimore.it) is a focal point for his experimental work. Professional memberships include IEEE, ACM, and the Italian Association for Artificial Intelligence. Recent achievements include successful final reviews for CONNECARE and advancements in fluidware programming paradigms.