جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Civil Engineering
• Bridge Engineering
• +۱۲ مورد دیگر

Gabriele Bertagnoli is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, Italy. His research and teaching focus on civil and structural engineering, particularly in bridge design, composite and concrete structures, finite element analysis, and structural health monitoring. His research interests include: Structural Engineering Bridge and Composite Structures Finite Element and Nonlinear Analysis Structural Health Monitoring (SHM) Optimization of Reinforced and Prestressed Concrete Seismic Retrofitting and Safety Assessment Bertagnoli's recent publications reveal a strong trend in developing and applying advanced computational models for the safety assessment of existing bridges and buildings, especially under damage and seismic loading. His work integrates innovative sensor technologies for SHM, genetic algorithms for structural optimization, and nonlinear finite element simulations to evaluate structural performance and reliability. His scientific awards include: Best Ph.D. Thesis of 2006 in the field of concrete structures – fib (Fédération Internationale du béton) CTE Congress 2018 Memorial Award – CTE (Italy, 2020) He is actively involved in research supervision and grant leadership: Supervises PhD students: Mario Ferrara and Sofia Villar Principal Investigator on multiple national and international projects (e.g., PRIN, PNRR, DECORI, Ri-REVERSE) Leads commercial and applied research contracts in structural consultancy and monitoring His laboratory and research group are engaged in developing intelligent monitoring systems for urban infrastructure (e.g., INSIST, Smart Concrete) and innovative retrofitting solutions using steel exoskeletons, composite connections, and sensor-embedded materials.

Giuseppe Quarantaمشاهده پروفایل

دانشیار

• Structural Monitoring and Control
• Sensing systems for structural monitoring
• Dynamic identification
• +۹ مورد دیگر

Giuseppe Quaranta is an Associate Professor in the Department of Structural and Geotechnical Engineering at Sapienza University of Rome, Faculty of Civil and Industrial Engineering. He is actively engaged in teaching Construction Techniques and Construction Process Management, and maintains regular office hours for students. His research focuses on structural monitoring, dynamic identification, seismic protection systems, and AI applications in civil engineering. Department: Department of Structural and Geotechnical Engineering Faculty: Faculty of Civil and Industrial Engineering Institution: Sapienza University of Rome Email: giuseppe.quaranta@uniroma1.it Dr. Quaranta's research interests span structural monitoring and control, sensing systems, dynamic identification, diagnostics of civil structures, passive vibration control devices, structural concrete, and the analysis and design of reinforced concrete and composite steel-concrete structures. His work integrates computational modeling, experimental validation, and data-driven approaches, particularly using artificial intelligence and machine learning for structural health monitoring and seismic assessment. He investigates energy harvesting using piezoelectric materials for powering wireless sensors in smart infrastructure. The recent publications of Dr. Quaranta demonstrate a strong trend toward energy-based seismic engineering, machine learning for structural performance prediction, nonlinear dynamics of isolation systems, and advanced modal identification techniques. His work combines theoretical modeling, numerical simulation, and experimental testing, with applications to bridges, buildings, and historical structures like the Leaning Tower of Pisa and the Colosseum. Dr. Quaranta is involved in the research project titled "Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale," which aligns with his expertise in corrosion hazard mapping, seismic resilience, and smart monitoring systems. While student advising is implied through research collaboration, specific names of advisees are not listed in the provided materials. Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale His research team conducts experimental and computational studies on structural systems, including dynamic monitoring of iconic structures such as the Leaning Tower of Pisa and the Colosseum. The lab focuses on developing and applying advanced signal processing techniques, nonlinear system identification methods, and AI-driven tools for structural health monitoring and seismic risk assessment.

• Thermography
• Mechanical Engineering
• Composite Materials
• +۳ مورد دیگر

Davide Palumbo is an Assistant Professor in the Department of Mechanics, Mathematics & Management at Politecnico di Bari, Italy. His research focuses on thermographic techniques for non-destructive testing, fatigue analysis, and mechanical property characterization of composite and metallic materials. Research interests include: Thermography, Composite Materials, Additive Manufacturing, and Fatigue Analysis Email: davide.palumbo@poliba.it Recent publications highlight his work on AI-driven defect quantification, structural health monitoring of 3D-printed composites, and hybrid thermographic methodologies for mechanical testing. He actively contributes to projects like the IDEA initiative, addressing manufacturing and design challenges in composite-bonded joints. His work spans applications in railway engineering, aerospace materials (e.g., CFRP, Inconel 718), and automotive systems, with a focus on thermal diffusivity measurements and deep learning integration.

Massimo Mecellaمشاهده پروفایل

استاد

• Service-Oriented Computing
• Business Process Management
• Process Mining
• +۱۲ مورد دیگر

Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.

• Wireless Networks
• Internet of Things (IoT)
• Network Protocols
• +۹ مورد دیگر

Fabrizio Giuliano is a Researcher at the University of Palermo in the School of Mathematics and Computer Science , focusing on Wireless Networks , Internet of Things (IoT) , and Network Protocols . His academic activities include teaching courses like Computer Networks , Internet of Things , and IoT and Cloud Security to students in Informatics, Biomedical Engineering, and Cyber-Physical Systems programs. Research Interests : Giuliano's work spans Wireless communication (LoRaWAN, Sigfox, WiFi, ZigBee) Smart water distribution systems and energy-autonomous IoT Interference detection and cross-technology coexistence 5G network infrastructure Augmented Reality for accessibility Privacy-preserving smart grid systems Publication Trends : His recent articles (2025–2023) focus on AI integration in IoT testbeds Scalable water distribution monitoring Information-theoretic analysis of fNIRS signals Interference mitigation in LPWANs Context-aware 5G architectures Hybrid VLC/WiFi networks Academic Contributions : Giuliano has edited theses on fNIRS signal analysis and IoT-integrated biosensors , reflecting his interest in biomedical applications of wireless systems.

• Software Engineering
• Formal Methods
• Software Architectures
• +۷ مورد دیگر

Patrizia Scandurra is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. Her academic appointment in Computer Science (01/B1) spans from 2022 to 2033. She previously held roles as a researcher at the University of Bergamo (2009-2017) and postdoctoral fellow at the University of Milan (2006-2008). She earned her PhD in Computer Science (2006) and Bachelor's degree (2002) from the University of Catania. Research Focus : Software architectures and formal methods for modeling, validation, and verification of software-intensive systems. Specializations : Runtime analysis of self-adaptive, autonomous, and uncertain systems including IoT-Edge-Cloud applications, embedded systems, and system-on-chip. Collaborations : STMicroelectronics, Atego, Bialetti, and ENEA. Conference Involvement : Program/organizing committees for ICSE, ASE, ISSRE, ICSA, ECSA, SEAMS@ICSE, ABZ, SA-TTA@SAC, FAACS@ECSA. Research Projects : Model-driven development for robotics, adaptive architectures for pervasive systems, big data in smart cities, and digital twins for medical systems. Notable Contributions : Development of the ASMETA formal method community tools and frameworks for rigorous system design. She has published over 100 peer-reviewed works in international journals and conferences.

• Materials Science
• Food Engineering
• 3D Printing
• +۳ مورد دیگر

Corrado Sciancalepore is a fixed-term researcher at the Department of Industrial and Systems Engineering (DISTI), University of Parma. He teaches materials science and design courses across multiple degree programs, including Sustainable Design for Food Systems and Engineering for the Food Industry. His research interests lie in materials science and engineering, particularly in advanced materials for food industry applications. He focuses on bio-based polymer composites, 3D printing technologies (FDM and VAT systems), and innovative thermal management solutions for power electronics. Recent work includes applying machine learning to optimize 3D printing parameters and developing self-adhesive sericin electrodes for biosignaling. He also investigates dynamic boronate ester networks to improve isotropy in printed components. He contributes to the Lab. of Materials and Technologies for the Food Industry and has published extensively on materials engineering topics in 2025. No scientific awards are mentioned in available data.

• Quantum Computing
• Mathematical Logic
• Fuzzy Logic
• +۳ مورد دیگر

Roberto Leporini is an Associate Professor at the University of Bergamo, where he has been a researcher since 2005. His research focuses on quantum information processing systems, including conservative and multivalued computation, optical microdevices, fuzzy and quantum logics, and compositional/holistic semantics. He holds a PhD in Computer Science from the University of Milan (2004) and has authored over 40 international publications. Leporini teaches Computer Science courses at the University of Bergamo and supplementary courses in Cybernetics and Analysis at other institutions. He has been actively involved in academic governance, serving in roles such as member of the Academic Senate and President of the International Quantum Structures Association (IQSA). Additionally, he holds a patent for quantum circuit construction and collaborates with the National Institute of Nuclear Physics. His research interests bridge quantum computing, mathematical logic, and their applications to computational systems. Notable contributions include studies on quantum entanglement, fuzzy logic representations of quantum gates, and holistic computational semantics. Leporini’s work emphasizes interdisciplinary approaches, integrating theoretical computer science with quantum physics principles.

• Architecture and Society
• Cultural and Natural Landscape
• Cultural Heritage
• +۳ مورد دیگر

Elena Vigliocco is an Associate Professor at the Department of Architecture and Design , Politecnico di Torino. She leads the Future Urban Legacy Lab and focuses on Architecture and Society , Cultural/Natural Landscape , and Cultural Heritage . Her work intersects Sustainable Cities (SDG 11) and Climate Action (SDG 13). Scientific Director for Valentino Park refunctionalization (2021-2022) Coordinated Next Generation Solar Landscapes (2023-2025) and Borgo Monteruga Sustainable Regeneration (2023-2024) projects Visiting Professor at Pontificia Universidad Javeriana (2019) Her 15 most recent publications (2023-2025) cover urban regeneration , energy landscapes , architectural pedagogy , and post-industrial design , with specific focus on photovoltaic/hydroelectric infrastructure , creative decommissioning , and community-driven park design . Awards include ProArch Fellow (2018-). Vigliocco supervises PhD students in Architecture and Urban Composition , teaches Heritage Renovation and Energy Landscape Projects , and has led interdisciplinary courses since 2019. Her TRANSITIONAL MORPHOLOGIES center explores urban adaptability through water infrastructure , energy landscapes , and cultural preservation .

• Art Conservation
• Heritage Science
• Materials Science
• +۴ مورد دیگر

Prof. Aldo Romani is a Professor leading the Materials for Artworks' Conservation research group within an academic department offering degrees in Chemistry, Biological Sciences, and Biotechnology. His work focuses on applying chemical and physical methodologies to cultural heritage conservation, with emphasis on non-destructive analysis and development of portable instrumentation for in-situ studies without artwork sampling or movement. Research interests center on chemical and physical behavior of materials in artworks, including structure/composition analysis for conservation diagnosis, degradation mechanisms of heterogeneous materials, and protection of porous heritage objects. The group utilizes synchrotron radiation, micro-FT-IR, micro-Raman, XRF, XRD, UV-VIS-NIR spectroscopy, GC-MS, and other advanced techniques. Key specialties include micro-spectroscopy for cross-sectional material distribution, contemporary art materials analysis, and emergency conservation protocols. Recent publications reveal strong focus on pigment analysis, varnish degradation, and non-invasive imaging of paintings/manuscripts using hyperspectral techniques. The research demonstrates integration of art historical context with materials science, particularly in Modernist paintings, medieval manuscripts, and street art preservation. The group actively contributes to European heritage science initiatives through the SMAArt Center of Excellence. Prof. Romani's laboratory develops portable instrumentation within MOLAB programs and participates in major European infrastructures including IPERION-HS and E-RIHS. Theoretical modeling complements experimental work for spectral assignments, while collaborations span conservation science and particle physics applications for detector development relevant to cultural heritage analysis.

• Organizational Behavior
• Project Management
• Human Resource Management
• +۵ مورد دیگر

Massimo Pilati is a Full Professor at the Department of Economics "Marco Biagi" at the University of Modena and Reggio Emilia. He teaches courses on Project Management and Organization for the Business Management and Consulting Master's degree program, and Organizational Behavior and People Management for the Labor Relations Master's degree program. His academic focus centers on organizational studies and business organization within the ECON-08/A Scientific-Disciplinary Sector. Professor Pilati's research spans multiple areas of organizational behavior and management. His work particularly focuses on decision-making processes, project management, human resource management, and organizational change. His publications reveal a strong interest in workplace well-being initiatives, diversity management, and the impact of global migration on workforce composition. He has developed a particular expertise in understanding the alignment between organizational initiatives and employee perceptions, as well as the role of soft skills in managerial effectiveness. Analysis of his recent publications shows a consistent research trajectory examining organizational behavior from multiple angles. His work increasingly addresses contemporary challenges such as pandemic management (Covid Manager identity), workforce diversity in specific sectors like contract catering, and the complex relationship between monetary and non-monetary rewards on employee outcomes. His research methodology often employs comparative case studies across different organizational contexts to identify patterns in employer-employee relationships and strategic intentionality. Professor Pilati has authored multiple textbooks, including "Comportamento Organizzativo" (Organizational Behavior) and "Problem Solving and Decision Making," which serve as foundational texts for his courses. His publications demonstrate a commitment to bridging theoretical frameworks with practical applications for managers operating in evolving organizational contexts. His teaching approach emphasizes active, student-centered learning through case discussions, small-group work, and practical exercises. For working students, he offers weekend availability via video call, demonstrating his commitment to accessibility. His courses focus on developing both hard and soft skills necessary for effective project management and organizational leadership, with particular attention to self-organized teams and change management processes.

• Electromagnetic Fields
• RFID Technology
• Internet of Things (IoT)
• +۳ مورد دیگر

Luca Catarinucci is an Associate Professor in Electromagnetic Fields (ING-INF/02) at the University of Salento's Department of Innovation Engineering. He leads courses in Microwaves and Electromagnetic Solutions for Hi-Tech , focusing on IoT, RFID, and 3D-printed electronic devices. His research spans electromagnetic interactions with biological systems, RFID sensor integration, and additive manufacturing for high-frequency applications. He has co-authored over 200 publications, including 80+ journal articles and 4 book chapters, and holds patents in RFID technology. His work bridges academic research and industry applications, emphasizing practical solutions for wireless communication and environmental monitoring. Education: Laurea in Electrical Engineering from the University of Perugia (1998). Professional roles include Researcher at the University of Salento (2004–2015) and collaboration with ICEMB (Interuniversity Center for Electromagnetic Field Studies). His expertise includes electromagnetic simulation, antenna design, and IoT-enabled systems. Research interests: RFID technology, IoT infrastructure, microwave engineering, 3D-printed antennas, and electromagnetic characterization of novel materials. Projects include smart waste management systems, thermal comfort monitoring, and worker safety solutions using RFID and sensor networks. Labs/Teams: Part of the Department of Innovation Engineering's research groups focused on electromagnetic design, IoT, and additive manufacturing. Collaborates with industry partners on projects involving 3D-printed RF devices and energy-autonomous sensors.

Alessandro Marcellettiمشاهده پروفایل

استادیار

• Blockchain Technology
• Business Process Management
• Distributed Systems
• +۵ مورد دیگر

Alessandro Marcelletti is an Assistant Professor with a focus on blockchain technology and its applications in business processes, distributed systems, and software engineering. His research explores the integration of blockchain into choreography-based systems, smart contracts, and identity management frameworks. He contributes to advancements in decentralized coordination mechanisms, data extraction methodologies for smart contracts, and cybersecurity awareness through gamification. Key research areas include blockchain-based execution of BPMN choreographies, model-driven frameworks for self-sovereign identity systems (ChorSSI), and digital twin approaches for smart contracts. His work emphasizes balancing confidentiality and transparency in process-aware systems while ensuring auditability and trustworthiness. Alessandro’s publications span blockchain applications in IoT, MLOps pipelines, and REST interaction coordination, reflecting his interdisciplinary approach. He has developed tools like FabNet for automated Hyperledger Fabric deployment and SEC-GAME for cybersecurity education. No awards or grants are explicitly mentioned, and his academic affiliations remain unspecified in the provided texts.

Cristiano Varinمشاهده پروفایل

استاد

• Statistical Methodology
• Composite Likelihood Inference
• Copula Regression
• +۳ مورد دیگر

Cristiano Varin is a Full Professor in Statistics at the Ca' Foscari University of Venice , affiliated with the Department of Environmental Sciences, Computer Science and Statistics (DAIS). He works at the Scientific Campus in via Torino and maintains the DAIS website for research and teaching updates. His research focuses on: Composite likelihood inference - A key methodological contributor with seminal papers in Biometrika and Statistica Sinica Copula regression - With practical implementations in R software Meta-analysis - Including improved likelihood inference techniques Spatial statistics - With applications to environmental data Paired comparison modeling - Applied to sports analytics and behavioral studies Recent publications demonstrate expertise in crossed random effects models (2025), ridge regression for paired comparisons (2024), and thermal comfort range analysis (2023). Scientific recognition includes: Royal Statistical Society Read Paper (2015) on journal citation modeling Gumbel Lecture (2006) by German Statistical Society Ca' Foscari Teaching Award (2020) He has collaborated with institutions including: Swiss National Science Foundation Natural Sciences and Engineering Research Council of Canada Norwegian Council of Research

• Mechanical Engineering
• Automotive Engineering
• Mechatronics
• +۹ مورد دیگر

Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.