جست‌وجوی استاد و پژوهشگر

Abelardo Carlos Martínez Lorenzoمشاهده پروفایل

پژوهشگر ارشد

• Natural Language Processing
• Cross-lingual Semantics
• Information Extraction
• +۳ مورد دیگر

Abelardo Carlos Martínez Lorenzo is a postdoctoral researcher at Sapienza University of Rome working under Professor Roberto Navigli in the Natural Language Processing group. His research focuses on cross-lingual semantics and information extraction, with specialization in semantic parsing and language models. His educational background includes: Software Engineering degree from Universidad de Málaga, Spain Erasmus Mundus Joint Master Degree in Big Data Management and Analytics from Université Libre de Bruxelles (Belgium), Universitat Politècnica de Catalunya (Spain), and Technische Universität Berlin (Germany) Martínez Lorenzo's research centers on overcoming language barriers through advanced semantic representation frameworks. His work develops efficient multilingual parsing systems that address data scarcity in low-resource languages, leveraging transformer architectures and novel linearization techniques. Key contributions include the BabelNet Meaning Representation (BMR) formalism and optimization methods for Abstract Meaning Representation (AMR) parsing, enabling robust cross-lingual semantic analysis without language-specific constraints. His publication record (2022-2024) reveals a consistent trajectory in enhancing AMR parser efficiency and multilingual capabilities. Notable innovations include CLAP's 80% reduction in computational time, cross-lingual alignment through transformer cross-attention, and ensemble methods that maintain structural integrity while improving SMATCH scores. These works collectively advance accessible, high-performance semantic analysis across linguistic boundaries. His scientific recognition includes: Marie Skłodowska-Curie Fellowship as Early Stage Researcher in the Knograph project (Horizon 2020) Funded through the prestigious Marie Curie grant, Martínez Lorenzo conducts research within the Knograph project framework while mentoring junior researchers in the Sapienza NLP group. His work demonstrates significant grant impact through open-source releases (CLAP, LeakDistill) that democratize access to semantic analysis tools. He actively contributes to the Sapienza Natural Language Processing group led by Roberto Navigli, which specializes in knowledge-based multilingual NLP systems. The group maintains strong collaborations through European research initiatives including Horizon 2020 projects, with emphasis on creating interlingual semantic resources and scalable parsing frameworks.

• Thermodynamics
• Heat Transfer
• Fluid Dynamics
• +۴ مورد دیگر

Marco Cavazzuti is an Associate Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia. His research focuses on thermodynamics, fluid dynamics, and energy systems, with a particular emphasis on computational fluid dynamics (CFD), heat transfer, and renewable energy applications. Cavazzuti teaches courses in Energy Engineering, Thermofluid Dynamics, and Industrial Heat Engineering, integrating theoretical and practical components with computational tools like OpenFOAM and Python. His research interests include multi-scale modeling of respiratory droplet transport for infectious disease risk assessment, plate-fin heat exchanger optimization, and thermal management of electric motors. He has contributed to projects like the IDEAS initiative for multi-source heat pump systems and the analysis of tunnel ventilation systems using 1D finite volume models. Cavazzuti's work spans both academic and industrial collaborations, addressing challenges in energy efficiency, CFD validation, and thermal system design. Key research trends in his publications include CFD-based modeling of complex flows (e.g., micro-channels, swirled jets), epidemiological droplet transport analysis, and optimization of thermal systems for renewable energy integration. He has also explored applications in automotive chassis design and cardiovascular flow dynamics using ultrasound and computational methods.

Pietro Lenardaمشاهده پروفایل

استادیار

• Computational Mechanics
• Biomechanics
• Fracture Mechanics
• +۷ مورد دیگر

Pietro Lenarda is an Assistant Professor at the IMT School for Advanced Studies Lucca, specializing in computational mechanics within the Multiscale Analysis of Material (MUSAM) research unit. He holds a PhD in Computational Mechanics and a Master’s in Mathematics from the University of Florence. His research focuses on computational methods for nonlinear coupled phenomena in continuum mechanics, with applications in biomechanics, photovoltaic materials, and fluid-structure interaction. He has been a visiting fellow at the University of Oxford, University of Seville, and Campus Bio-Medico of Rome. Dr. Lenarda teaches courses in computational mechanics for the School’s Systems Science and Management of Digital Transformation PhD program. He has supervised four PhD students and contributed to evaluation committees for visiting professors and post-docs. His scientific achievements include the 2018 best PhD thesis award from the Italian Association of Theoretical and Applied Mechanics. His research spans phase field models for fracture mechanics, hyperelastic models for human organs, fractional calculus for viscoelastic materials, and lattice-Boltzmann methods for tumor cell transport. He collaborates on projects involving bioprinting in gastrointestinal systems and photovoltaic durability modeling funded by the Italian National Recovery Plan. His work combines advanced numerical techniques with experimental validation to address challenges in biomedical engineering, energy materials, and structural mechanics.

Lelio Luzziمشاهده پروفایل

استاد

• Thermal Fluid Dynamics
• Passive Safety Systems
• Economics of Nuclear Energy
• +۷ مورد دیگر

Prof. Lelio Luzzi is a Professor at Politecnico di Milano, specializing in Thermal Fluid Dynamics, Passive Safety Systems, and Economics of Nuclear Energy. His research spans nuclear fuel behavior, multiphysics modeling, and reactor stability analysis. Key Collaborations: Involved in projects related to Molten Salt Fast Reactors (MSFR), Lead Fast Reactors (LFR), and dark matter detection (DarkSide-20k). Research Focus: Development of computational tools (BISON, TRANSURANUS, OpenFOAM) for nuclear fuel performance, fission gas release, and reactor safety. Methodologies: Expertise in Reduced Order Modeling (ROM), Proper Orthogonal Decomposition (POD), and multi-physics solvers for reactor dynamics. Recent Publications (2017–2019): Investigate fission gas behavior, helium diffusivity in oxide fuels, and criticality safety in dynamic compression events, emphasizing advanced numerical algorithms and experimental validation.

• Foundation Engineering
• Geomechanics
• Geotechnical Engineering
• +۷ مورد دیگر

Daniele Costanzo is a Tenured Associate Professor in the Department of Structural, Geotechnical and Building Engineering (DISEG) at the Polytechnic University of Turin, where he is also a member of the Interdepartmental Center SISCON – Safety of Infrastructures and Constructions. He teaches in the College of Civil and Building Engineering, contributing to both undergraduate and graduate programs. Research interests: Foundation Engineering, Geomechanics, Soil-Structure Interaction, Experimental Soil Mechanics, Behavior of Porous Media Scientific Disciplinary Sector: CEAR-05/A - Geotechnical Engineering (Area 0008 - Civil Engineering and Architecture) ERC Sectors: PE8_3 - Civil engineering, architecture, maritime/hydraulic engineering, geotechnics, waste treatment SDG Alignment: Goal 9 – Industry, Innovation, and Infrastructure His research focuses on the mechanical behavior of geomaterials, particularly in foundation systems and natural structures. He investigates soil-structure interaction through experimental and numerical methods, with applications in infrastructure resilience and flood control. His work bridges geomechanics and civil engineering, emphasizing practical solutions for construction safety and environmental challenges. The recent publications highlight a strong trend in modeling geological structures under environmental stress, such as flood events and weathering processes. His studies on gypsum and marble explore micro-scale deformation, creep, and failure mechanisms, indicating a focus on material durability and long-term performance. These works span geotechnical engineering, rock mechanics, and computational modeling, reflecting a multidisciplinary approach to infrastructure safety. Daniele Costanzo has served as Scientific Manager for commercial research projects, including geotechnical characterization of river embankments and geological information systems. While no formal awards are listed, his leadership in applied research demonstrates recognition in the field. He has been actively involved in PhD education, serving on doctoral colleges for Water and Land Management Engineering and Geotechnical Engineering since the 19th cycle (2003/2004). His teaching portfolio includes core courses such as Foundations, Geotechnical Design for Building Resilience, and Bridge Design and Reinforcement Workshop across Civil and Building Engineering programs. He is affiliated with the SISCON Interdepartmental Center, which focuses on the safety of infrastructures and constructions, suggesting collaborative, interdisciplinary research efforts aimed at improving structural resilience and geotechnical safety.

• Data Science
• Electrical Energy Systems
• Machine Learning
• +۷ مورد دیگر

Seyedmahmood Hosseiniimani is a Fixed-term Assistant Professor and Researcher in the Department of Energy (DENERG) at Politecnico di Torino, Italy. He is actively engaged in research and teaching in the domains of electrical energy systems, data science, and smart grid technologies. He contributes to multiple academic programs as a course collaborator and serves on several course councils. Position: Fixed-term Assistant Professor Institution: Politecnico di Torino Department: Department of Energy (DENERG) Research Focus: Data Science, Machine Learning, Electrical Energy Systems, Microgrids, Power Economics His research interests lie at the intersection of data analytics and energy systems, with a strong emphasis on applying machine learning and statistical methods to electricity markets, demand forecasting, and microgrid optimization. He explores topics such as price clustering, inter-zonal congestion, pandemic impacts on energy demand, and demand response in smart grids. The trend in his recent publications shows a consistent focus on data-driven analysis of electricity markets, particularly in the Italian context. His work combines technical modeling with economic and policy implications, targeting journals and conferences in power systems, energy informatics, and sustainable infrastructure. He frequently employs regression models, clustering algorithms, and systematic reviews to extract insights from complex energy datasets. He is a Guest Editor for the journal ENERGIES (2025–present), contributing to scholarly discourse in renewable and sustainable energy. While no formal scientific awards are listed, his editorial role reflects recognition in the academic community. Hosseiniimani supervises PhD student Erminia Consiglio in the field of Electrical, Electronic, and Communications Engineering. His teaching responsibilities include courses such as Smart Grids, Electrical Systems for Buildings, and Fundamentals of Energy Conversion, Transport, and Storage across various engineering programs. He collaborates with senior researchers like Prof. Ettore Bompard and contributes to interdisciplinary research projects aligned with UN SDGs 7, 9, 11, and 12. He is involved in research initiatives related to energy communities, prosumer integration, and data analytics for policy support, working within a dynamic research environment at DENERG focused on sustainable and intelligent energy systems.

• Numerical Analysis
• Computational Mathematics
• Partial Differential Equations
• +۷ مورد دیگر

Nicola Ferro is a Researcher in the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice, specializing in numerical analysis and computational mathematics. He actively contributes to teaching and research, with a strong focus on numerical methods for PDEs, optimization, and mesh adaptation. His research interests lie at the intersection of applied mathematics and engineering, particularly in numerical methods for partial differential equations , topology optimization , mesh adaptation , and their applications in biomedical engineering , solid mechanics , and sustainable technologies . His work bridges theoretical developments with real-world applications in medical devices and environmental monitoring. The recent publications highlight a consistent trend in computational modeling, particularly in developing advanced numerical techniques for biomedical applications (e.g., vascular stents) and data-efficient simulation (e.g., mesh adaptation and data compression). His research integrates high-performance computing with multiphysics modeling to solve complex engineering challenges. Editor’s Choice (2024) for a paper in Mathematical and Computational Applications PhD Olympiad Winner (2021) – ECCOMAS Congress Research Scholarship (2021) – Istituto Nazionale di Alta Matematica (INdAM) Research Scholarship (2020) – Fondazione Fratelli Confalonieri Premio Cercignani (2016) – Best Master's Thesis in Computational Science and Engineering, Politecnico di Milano Nicola Ferro has secured multiple research grants, including as Principal Investigator in GNCS INdAM projects (2023, 2025) and the Finanziamento Giovani Ricercatori (2019). He is involved in national projects such as PRIN P2022JLNPJ (RESET) and PRIN 20204LN5N5, and collaborates with industry partners like Thales Alenia Space Italia. He mentors students and contributes to academic service as a guest editor and reviewer for top journals. He is part of a vibrant research group focused on computational mathematics and numerical methods, collaborating closely with researchers such as Simona Perotto, Umberto Morbiducci, and Claudio Chiastra. His work is embedded in interdisciplinary teams tackling challenges in biomedical engineering and sustainable technology development.

• Energy Efficiency
• Urban Sustainability
• Historic Preservation
• +۳ مورد دیگر

Rosa Francesca De Masi is an Associate Professor at the University of Sannio , Department of Engineering, focusing on energy efficiency in buildings. Her research spans: Energy performance assessment of buildings and historical centers Thermal behavior of innovative envelope solutions Integration of Geographic Information Systems (GIS) for Urban Energy Maps Impact of climate change on building energy balance Development of nearly Zero Energy Buildings (nZEB) in Mediterranean climates Life Cycle Assessment (LCA) of sustainable materials Key publication trends include: 15+ articles on energy retrofit strategies Specialization in thermal bridges and photovoltaic integration Focus on cool roofing materials and hemp-lime composites Methodologies for urban energy mapping and climate resilience She has collaborated with researchers like: Fabrizio Ascione Giuseppe Peter Vanoli Antonio Vanoli Francesco de’ Rossi Valentino Festa

• Biomedical Engineering
• IoT Technologies
• Signal Processing
• +۲ مورد دیگر

Prof. Grazia Iadarola serves as a Researcher in the Department of Information Engineering at Università Politecnica delle Marche (UNIVPM) , Ancona, Italy. Her work spans biomedical engineering, IoT technologies, and advanced measurement systems. Research Focus : Biomedical signal processing, wearable sensors, and IoT-enabled health monitoring systems. Instrumentation : Development of measurement systems for UAVs, MV switchgears, and human physiology. Machine Learning : Applications in physical fatigue detection, fault diagnosis, and classification of biomedical signals. Email : g.iadarola@staff.univpm.it Recent Publication Trends : Over 20 publications since 2016 focus on IoT-based wearables , compressed sensing , drone monitoring , and health signal analysis . Key Collaborations : Contributions to conferences like EAI HealthyIoT and IEEE journals, with emphasis on sensor validation, signal reconstruction, and smart healthcare solutions.

• Structural Analysis
• Structural Design
• Reinforced Concrete
• +۱۰ مورد دیگر

Roberto Cerioni is a Professor in the Department of Engineering and Architecture at the University of Parma, where he has been a faculty member since 2002, previously serving as an Assistant Researcher from 1990. He holds an MS in Civil Engineering from the University of Ancona (1983) and has taught extensively in both Civil Engineering and Architecture programs, including courses such as Construction Techniques, Analysis and Control of Structures, and Design of Structures. His research focuses on the structural behavior of reinforced and prestressed concrete, masonry systems (particularly AAC masonry), nonlinear analysis, and finite element modeling. He investigates critical aspects such as shear and torsion in RC members, constitutive modeling for simulation, and the performance of building components under extreme conditions like high temperatures. Recent publications (2022–2023) highlight his active engagement in experimental and numerical studies on concrete tunnel linings under fire, mechanical characterization of AAC masonry, fracture properties of foams, and structural performance of lintels. These works reflect a strong trend toward sustainable construction materials and advanced structural analysis techniques. He has authored or co-authored over 80 scientific papers. While no specific awards or fellowships are mentioned in the provided text, his sustained research output and teaching across multiple programs underscore his academic contributions. Roberto Cerioni mentors students in civil and architectural engineering disciplines, though specific advisees are not listed. There is no mention of external grants or funding sources. He is involved in laboratory activities such as the Laboratory for Structure Design and Control, indicating hands-on teaching and research supervision. His work is closely tied to practical and sustainable construction solutions, with ongoing research in material performance, structural safety, and innovative design methods. He continues to be an active academic as of the 2024/2025 academic year.

• Electric Drives
• Power Electronics
• Electric Vehicles
• +۷ مورد دیگر

Carlo Concari is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, where he actively contributes to teaching and research in electrical and electronic engineering, particularly in the domains of electric drives, automotive systems, and sustainable mobility. He teaches core courses such as Electric Drives , Electrotechnics , and Dynamics and Compliant Design of Road Vehicles across both Bachelor’s and Master’s programs. His research focuses on enhancing the performance and efficiency of electric and hybrid vehicles through advanced control strategies, energy management, and innovative powertrain designs. Key areas include multi-actuated electric vehicles, active vibration control in motors, and hybrid energy storage systems. His recent publications highlight collaborative work on optimizing high-performance hybrid powertrains and improving industrial communication for power electronics. The trends in his research articles reflect a strong emphasis on sustainable urban mobility, energy efficiency, and electromechanical integration. His work bridges theoretical modeling with practical implementation in automotive and industrial applications. While no specific scientific awards are mentioned in the available data, his consistent publication record in recent years demonstrates active engagement in impactful research. Prof. Concari advises students in electronic and automotive engineering programs and contributes to curriculum development in electric vehicle technologies. He is involved in research projects related to electric drivetrains, hybrid systems, and industrial automation, as evidenced by his co-authored technical papers. He is part of research teams focused on advanced automotive electronic systems and power electronics applications, particularly within the context of intelligent and sustainable vehicles. These efforts are aligned with broader initiatives in green transportation and smart energy use in mobility.

Ada Amendolaمشاهده پروفایل

دانشیار

• Mechanics of Materials
• Metamaterials
• Tensegrity Structures
• +۱۲ مورد دیگر

Ada Amendola is an Associate Professor in the Department of Civil Engineering at the University of Salerno, where she conducts advanced research in innovative materials and structural mechanics. Her work bridges computational modeling, bio-inspired design, and experimental validation of multiscale systems. Her research interests include: Mechanics of Metamaterials and Tensegrity Structures Nonlinear Wave Propagation in Solids Seismic and Dynamic Protection of Structures Energy-Harvesting and Carbon-Storing Building Systems Bio-inspired and Fractal Structural Design Additive Manufacturing of Advanced Structural Components The recent articles highlight her focus on solitary wave dynamics, tensegrity-based seismic isolators, impact-resistant columns, and sustainable composite structures. These works reflect a strong integration of theoretical, computational, and experimental approaches in applied mechanics and civil engineering. Scientific recognition includes competitive funding from the Italian Ministry of University and Research (PRIN), MAECI, and PRIN-PNRR Linea Giovani for projects such as: 'The Mathematics and Mechanics of Nonlinear Wave Propagation in Solids' 'Sustainable Composite Structures for Energy-Harvesting and Carbon-Storing Buildings' (SUSTBUILD) 'Next-Generation Green Structures for Natural Disaster-Proof Building' (NEXTBUILDING) She leads and contributes to interdisciplinary research initiatives, advising teams working on 3D-printed meta-isolators highlighted in Nature , and developing novel structural systems with re-centering capabilities using shape memory alloys. Her lab investigates post-tensioned tensegrity columns, dynamic impact responses, and parametric design of meta-braces. Ongoing work explores the use of self-similarity and biological principles to innovate in structural resilience and sustainability.

Alfredo De Santisمشاهده پروفایل

استاد

• Data Security
• Cryptography
• Digital Forensics
• +۴ مورد دیگر

Alfredo De Santis is a Professor and Director of the Dipartimento di Informatica at the Università degli Studi di Salerno. His research focuses on Data Security, Cryptography, Digital Forensics, and Communication Networks. He has authored numerous publications in top-tier journals and conferences, contributing to advancements in secret sharing schemes, cryptographic protocols, and privacy-preserving systems. His work bridges theoretical foundations with practical applications, including secure mobile communications, data compression, and IoT security. Key research interests include secure protocols, algorithm design, and the application of information theory to cybersecurity challenges. He has developed innovative solutions for entity authentication, distributed systems security, and privacy threats in mobile devices. His contributions span academic leadership, curriculum development in Data Security courses, and collaboration on projects like "Blockchain in Healthcare" and "Anti-Forensics Techniques". Publications highlight his expertise in hierarchical key management, secure data streaming, and cryptographic schemes. Recent works address fake news propagation modeling, privacy attacks exploiting smartphone sensors, and secure cloud storage solutions. His research emphasizes both theoretical rigor and real-world applicability across domains like healthcare, IoT, and digital forensics.

Claudio SILVESTRIمشاهده پروفایل

دانشیار

• Data Mining
• Privacy in Location-Based Services
• Spatio-Temporal Data Analysis
• +۳ مورد دیگر

Claudio SILVESTRI is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He specializes in Computer Science (INFO-01/A), with a focus on data mining, privacy in location-based services, and spatio-temporal data analysis. His research integrates computer science with environmental and biomedical applications. Teaching Responsibilities include courses on Advanced Data Management (Computer Science) and Geographic Information Systems (Environmental Sciences) at the Master's level across multiple academic years. Research Interests span: Algorithms for privacy protection in location-based services Spatio-Temporal Data Warehouses and trajectory analysis Parallel computing on GPU and cloud platforms Applications in fisheries monitoring and diabetic kidney disease modeling Funding Projects include EU initiatives like H2020 (e.g., DC-ren for kidney disease research) and regional grants (e.g., ADMIN4D on Industry 4.0). Key collaborations involve researchers like Salvatore ORLANDO and Debora SLANZI. He is affiliated with the European Center for Living Technology (ECLT) and the Research Institute for Social Innovation. Office hours are held Wednesdays 2-4 PM by email appointment.

• Structural Mechanics
• Acoustic Emission Methods
• Damage Diagnosis in Structures
• +۱۵ مورد دیگر

Giuseppe Lacidogna is Associate Professor in Structural Mechanics at the Department of Structural, Building and Geotechnical Engineering (DISEG), Politecnico di Torino, Italy. He leads the Fracture Mechanics Laboratory and is a key researcher in structural health monitoring and damage diagnosis. He holds a PhD in Structural Engineering from Politecnico di Torino (1994) and graduated cum laude in Architecture (1985). He achieved National Academic Qualification as Full Professor in 2018 and is Fellow of the European Academy of Sciences. He serves on the Academic Board of the Doctorate in Civil and Environmental Engineering and previously directed the Structural Engineering Doctorate (2016–2018). Research Interests: Acoustic emission for damage identification in concrete, masonry, and rocks Cracking evolution in masonry arch bridges Creep and long-term behavior of concrete Fracture mechanics and modeling (FEM, DEM) Seismic precursors and critical phenomena Mechanics of macromolecular and protein structures Static and dynamic analysis of high-rise buildings His recent research, reflected in publications from 2022 to 2025, emphasizes acoustic emission monitoring of historical and modern structures (e.g., Garisenda Tower), fracture in 3D-printed geopolymers, self-healing materials, and multiscale modeling of seismic events. His work bridges civil engineering, materials science, and computational mechanics. Scientific Awards and Recognitions: Fellow, European Academy of Sciences (2018) Certificate Merit Award, European Society for Experimental Mechanics (EuraSEM, 2018) Best Paper Award, Conference on Structural Faults + Repair (2008) Top Italian Scientist, Engineering-Mechanics Area (2021) He actively supervises PhD students and has secured competitive and commercial research funding, including the GREENER project (PNRR) and long-term monitoring of the Garisenda Tower. He serves on editorial boards of journals such as SCI , Construction and Building Materials , and Applied Sciences , and is a member of professional societies including AIMETA, RILEM, SEM, and CTBUH. His research integrates experimental and numerical methods to address challenges in infrastructure safety and sustainability. Laboratories and Research Teams: Fracture Mechanics Laboratory (DISEG), Politecnico di Torino Principal Investigator in multiple national and international research collaborations Leader of the SISCON Interdepartmental Center component on Safety of Infrastructures and Constructions