جست‌وجوی استاد و پژوهشگر

• Fluid Dynamics
• Mathematical Physics
• Partial Differential Equations
• +۵ مورد دیگر

Vincenzo Sciacca is a Full Professor in the Department of Mathematics and Computer Science at the University of Palermo, Italy. His academic position is listed under classification code MATH-04/A, which typically refers to Mathematical Analysis in the Italian academic system. He maintains regular office hours on Thursdays from 3:00 PM to 6:00 PM at the Department of Mathematics and Computer Science, Via Archirafi 34, Office No. 216 (2nd floor). Professor Sciacca's research spans several areas of mathematical physics and fluid dynamics. His primary interests include: Fluid dynamics and vortex theory Partial differential equations, particularly Navier-Stokes and Euler equations Singularity formation in boundary layer theory Numerical analysis of complex fluid systems Mathematical modeling in geophysical fluid dynamics Complex singularity analysis for nonlinear systems Analysis of his recent publications reveals a strong focus on the mathematical aspects of fluid dynamics, with particular attention to singularity formation, vortex dynamics, and the behavior of solutions to fundamental equations in fluid mechanics. His work combines rigorous mathematical analysis with computational approaches to understand complex phenomena in fluid systems. Over the years, his research has evolved from fundamental studies of singularity formation to more applied problems in geophysical fluid dynamics and mathematical biology as evidenced by his 2024 paper on Multiple Sclerosis. Professor Sciacca maintains an active research profile with publications spanning from 1994 to the present, demonstrating sustained scholarly contribution to his fields of expertise. His work shows interdisciplinary reach, connecting pure mathematical analysis with applications in physics, geophysics, and biomedical modeling. He can be contacted at vincenzo.sciacca@unipa.it and maintains a personal web page at http://math.unipa.it/~sciacca/ where additional information about his teaching and research is available.

• High-Performance Computing
• GPU Acceleration
• Computational Geoscience
• +۴ مورد دیگر

Ludovic Räss is a computational geoscientist at the University of Lausanne and lecturer at ETH Zurich's Glaciology Lab. His research intersects high-performance computing (HPC), geophysics, and applied mathematics, with specialization in GPU-accelerated scientific computing and supercomputing applications. He leads the GPU4GEO initiative developing multi-physics solvers and pioneers differentiable modeling techniques for geophysical simulations using Julia. Research focuses include: Portable HPC software development Ice dynamics and porous media deformation GPU-optimized computational methods Scalable simulation architectures Differentiable programming for geophysics He designed and teaches Solving partial differential equations in parallel on GPUs at ETH Zurich, providing hands-on training in GPU programming and Julia-based scientific computing. Contributes significantly to Julia's open-source ecosystem through JuliaGPU and JuliaParallel projects.

• Computational Fluid Dynamics
• Discontinuous Galerkin Methods
• Finite Volume Methods
• +۶ مورد دیگر

Michael Dumbser is a Full Professor at the University of Trento's Department of Civil, Environmental and Mechanical Engineering. His research focuses on computational fluid dynamics, numerical methods for hyperbolic conservation laws, and high-performance computing. He specializes in developing structure-preserving numerical schemes such as discontinuous Galerkin and finite volume methods for continuum mechanics, relativistic fluid dynamics, and multiphase flows. Teaching responsibilities include courses like Calcolo numerico e programmazione , High-Performance Computing for Multi-Functional Metamaterials , and Metodi numerici per l'ambiente . His work emphasizes thermodynamically compatible formulations and adaptive numerical methods for complex physical systems. Recent research trends involve hyperbolic reformulations of classical models (e.g., Navier-Stokes-Korteweg, Einstein equations), staggered semi-implicit schemes for incompressible flows, and GPU-accelerated algorithms. His publications span topics from geophysical fluid dynamics to relativistic astrophysics, with a focus on maintaining physical conservation principles in numerical implementations. No scientific awards are explicitly listed in the provided information. His advising record is not detailed here, though his courses suggest involvement in student mentorship. Research collaborations include projects on metamaterials and computational geophysics. Current initiatives include developing unified models for earthquake rupture dynamics, non-Newtonian fluid simulations, and adaptive mesh refinement techniques. His lab work involves high-performance computing frameworks like ExaHyPE for large-scale wave propagation studies.

• Climate
• Climate change
• Climate dynamics
• +۹ مورد دیگر

Jost-Diedrich Graf Von Hardenberg is a Full Professor in the Department of Environmental, Land and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin. He serves as the Energy and Climate Change Area Coordinator and is a Scientific Advisor of the HPC-AI Advisory Council. His research focuses on climate science and geophysical fluid dynamics, with significant contributions to understanding climate change impacts and Earth system modeling. Professor Von Hardenberg's research interests span multiple areas of climate science, including climate dynamics, geophysical fluid mechanics, hydrological cycle analysis, numerical climate modeling, and precipitation downscaling. His work particularly emphasizes climate tipping points and extremes, Rayleigh-Bénard convection in geophysical contexts, high-resolution Earth-system climate modeling, and stochastic approaches to precipitation downscaling. His research integrates theoretical, computational, and observational approaches to address fundamental questions about climate system behavior and change. His recent publications demonstrate a strong focus on Atlantic Meridional Overturning Circulation (AMOC) dynamics, climate extremes in Alpine regions, urban climate effects, and interdisciplinary applications of climate science to ecological and conservation challenges. His work bridges fundamental climate dynamics with practical applications for climate adaptation and environmental management. Among his notable recognitions are the Research in Paris award from the Maire de Paris (2009) and Fellowships at the London School of Economics and Political Science (2001-2002, 2004-2006). He has participated in numerous research networks including the European Geosciences Union section 'Nonlinear Processes in Geophysics' (2004-2012), the EC-Earth Consortium (2012-present), and COST Action ES0805 TERRABITES 'The terrestrial biosphere in the earth system' (2010-2014). Professor Von Hardenberg actively supervises PhD students including Marianna Albanese, Maria Clara Corda, Sara Filippini, and Jacopo Grassi, among others. He leads multiple significant research projects such as ROTurb (Resolving Ocean Macroscale Turbulence), LocClima (Impact of LOCal conditions on Italian microCLIMAtes), CRAWL (Carbon Release in A Warming cLimate), and CliMOC (Climate Impacts of the Atlantic Meridional Overturning Circulation), with funding from EU, national programs, and commercial contracts. He is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, where he contributes expertise in climate data analysis and modeling. His collaborative work extends to multiple institutions through non-commercial agreements with the National Research Council and various international research consortia focused on climate system understanding.

Bernardo Telliniمشاهده پروفایل

استاد

• Electrical Measurements
• Magnetic Characterization
• Battery Technology
• +۵ مورد دیگر

Bernardo Tellini is a Full Professor of Electrical and Electronic Measurements at the Department of Energy, Systems, Land, and Construction Engineering (DESTEC) at the University of Pisa, where he also serves as Vice-Rector for Doctoral Research. He has held this institutional role since 2020, overseeing doctoral program planning, accreditation, and admission procedures. Previously, he chaired the doctoral program in Energy, Electrical, and Thermal Engineering from 2012 to 2016 and served on the Leonardo da Vinci Doctoral School in Engineering from 2008 to 2016. Education: PhD in Electrical Engineering, University of Pisa (1999) Degree in Electrical Engineering, University of Pisa (1993) Postdoctoral research at Karlsruhe Research Center for Technology and Environment Industry experience at ABB Tellini's research focuses on electrical and magnetic measurement methodologies for high-power pulsed applications, characterization of electrical and magnetic properties of materials, aging processes in battery cells, and electromagnetic emissions from power circuits. His work spans from fundamental measurement theory to practical industrial applications, particularly in railway technologies where he represents the University on the Steering Committee of the District for Railway Technologies, High-Speed, and Network Safety in Tuscany. He has served as president of the European Pulsed Power Laboratories agreement and chaired major IEEE conferences including I2MTC 2015 and MELECON 2020. His recent publications reveal a strong emphasis on RFID-based localization systems , nanoparticle-enhanced optical sensors , and advanced battery characterization techniques . The research trajectory shows increasing integration of measurement science with emerging technologies like plasmonic sensing, microwire-based transducers, and smart systems for industrial monitoring. His team has developed innovative approaches for battery health monitoring under vibration stress, temperature sensing using magnetic materials, and precise localization methods using phase-based RFID systems. Professional Service: President of Italian Section of IEEE (2019-2021) Scientific director of Pisa research unit in Association of Electrical and Electronic Measurements (GMEE) Member of Certification Committee of Italcertifer SpA (since 2019) Representative on District for Railway Technologies Steering Committee (since 2013) Tellini has authored approximately 200 publications in international journals and conference proceedings. His leadership extends to academic governance through roles on the DESTEC Department Human Resources Committee and various university committees overseeing scientific qualifications and doctoral programs. His research bridges theoretical measurement principles with practical engineering solutions for energy systems, transportation infrastructure, and industrial monitoring applications.

Ciriaco D'Ambrosioمشاهده پروفایل

پژوهشگر

• Combinatorial Optimization
• Heuristics
• Metaheuristics
• +۴ مورد دیگر

Ciriaco D'Ambrosio is a Research Fellow at the Department of Mathematics, University of Salerno, specializing in combinatorial optimization and its applications to wireless sensor networks. He teaches courses in operations research and maintains regular reception hours for students on Tuesdays (3:00-5:00 PM) and Wednesdays (4:00-5:00 PM), conducted both in-person and via Microsoft Teams. Education: PhD in Computer Science, University of Salerno (2015) - Thesis: models and algorithms for coverage in Wireless Sensor Network Laurea cum laude in Computer Science, University of Salerno (2011) Research Focus: D'Ambrosio specializes in combinatorial optimization, developing heuristics, metaheuristics, and math-heuristics for mixed integer linear programming problems. His work addresses challenging optimization problems in wireless sensor networks, particularly network lifetime maximization under coverage, connectivity, and interference constraints. His research bridges theoretical computer science with practical applications in sensor network design, seismic monitoring systems, and resource allocation problems. His methodology often combines exact approaches with sophisticated heuristic techniques to solve computationally difficult problems. Publication Trends: Analysis of D'Ambrosio's publications (2017-2025) reveals a progression from foundational work on sensor network lifetime problems toward increasingly sophisticated algorithmic approaches for combinatorial optimization. His recent work shows expansion into seismic monitoring applications while maintaining strong focus on knapsack problem variants and network optimization. His publications appear in high-quality journals including Soft Computing, Computers & Operations Research, and Networks, demonstrating both theoretical rigor and practical relevance of his research. Professional Activities: Member of the Italian Operations Research Society (AIRO) Associate Editor for Soft Computing, A Fusion of Foundations, Methodologies and Applications Active collaborator with researchers including Andrea Raiconi, Raffaele Cerulli, and Francesco Carrabs Research Infrastructure: D'Ambrosio works within the Department of Mathematics at University of Salerno's Fisciano Campus (Building F2, Room 040). His research contributes to the university's growing expertise in computational optimization and has practical applications in environmental monitoring systems like SEISMONOISY.

• Applied Geophysics
• Glaciology
• Geophysical Data Integration
• +۳ مورد دیگر

Alberto Godio is a Full Professor at the Politecnico di Torino, affiliated with the Department of Environmental, Land and Infrastructure Engineering (DIATI). He coordinates Latin America relations under the University Strategic Plan and is a member of the Interdepartmental Center Photonext for Applied Photonics. His research focuses on Applied Geophysics, Geophysical Data Integration, and Glaciology. He graduated in Mining Engineering (1988) and earned a PhD in Underground Resources Engineering (1993). He has been an Associate Professor (2005-2024) and Full Professor (2024-present) at PoliTO, leading projects funded by EU (FP7, LIFE, Horizon), MIUR (PRIN, FIRB), and regional bodies. His recent publications explore geophysical methods for subsurface modeling, glacial systems, and environmental remediation, with keywords spanning Geophysics, Hydrology, and Climate Science. His work emphasizes ground-penetrating radar, seismic noise analysis, and hybrid modeling techniques. Scientific awards include the Best Paper Award at the Near Surface Geoscience Conference (2008). He has supervised PhD students on fiber optic sensors and GPR optimization, advised projects on digital twins, and led EU-funded research on biogas enhancement in landfills.

• Flow in underground porous media
• Geoenergy
• Underground energy storage
• +۱۲ مورد دیگر

Dario Viberti is a Full Professor at the Polytechnic University of Turin, affiliated with the Department of Environmental, Land and Infrastructure Engineering (DIATI). He is a member of the Interdepartmental Center Ec-L - Energy Center Lab and actively contributes to the Master's and Continuing Education School. He serves as Coordinator for both Master’s levels I and II of the Natural Resources Development and Storage program and participates in doctoral colleges for Civil and Environmental Engineering and Materials, Sustainable Processes, and Systems for the Transition. His research focuses on flow in underground porous media , geoenergy , and underground energy storage , particularly hydrogen and CO₂ storage. His expertise spans numerical modeling, reservoir engineering, fluid mechanics, well testing, and energy transition systems. He is involved in commercial research projects with ENI Corporate University and leads initiatives related to sustainable energy applications. His recent publications reveal a strong trend in underground hydrogen storage , biogeochemical modeling , pore-scale simulation , and PVT analysis of gas mixtures . These works emphasize safety, efficiency, and long-term integrity of subsurface storage systems using advanced computational and experimental methods. Scientific Manager, Underground CO2 Storage Project (2022) Scientific Manager, Reservoir Modeling Project (2022) Coordinator, Master’s Program in Natural Resources Development and Storage Member, SEASTAR Competence Center Committee (2020–2025) He mentors several PhD students, including Michel Tawil, Marialuna Loffredo, Alice Raeli, and Alice Massimiani, supporting research in microfluidics, Lattice Boltzmann simulations, and thermodynamic characterization. He teaches courses such as Numerical Modeling for Multiphase Flow , Underground Energy Storage , and Well Logging and Testing across multiple degree programs. His work aligns with UN SDGs 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 13 (Climate Action).

Carlo Beltrameمشاهده پروفایل

دانشیار

• Evolution of shipbuilding in antiquity
• Research methodology in maritime archaeology
• Digital techniques for surveying and communication in maritime archaeology
• +۳ مورد دیگر

Carlo Beltrame is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Humanities. His roles include membership in the Management Committee of the University Scientific Instrumentation Service Center (CSA) and as Department Delegate for the Third Mission. Born in Venice in 1969, he holds degrees from the Universities of Padua and Trieste, with a PhD from the University of Haifa. His research focuses on maritime archaeology, Roman shipbuilding, and underwater heritage preservation. Notable awards include the 2020 Research Prize Consolidator and the 2021 Premio Sciacca for Underwater Archaeology. Education: Bachelor's at University of Padua Masters in Archaeology at University of Trieste PhD (equivalent) from University of Haifa Key Projects: Principal Investigator for the PRIN 2022 project on the Venetian Lagoon in Antiquity Coordinator of CHANGES PNRR Spoke 1 on Historical Landscapes Leadership in Interreg Italy-Croatia projects (ARCA ADRIATICA, UNDERWATER MUSE) His teaching includes courses on maritime archaeology and research methodologies. He is a member of editorial boards for seven journals and has organized 9 international conferences. His work integrates digital techniques, such as photogrammetry and 3D modeling, to document submerged sites and artifacts. Beltrame also chairs the Italian Association of Scientific Underwater Operators (AIOSS) and has directed excavations of Roman shipwrecks in Italy and Croatia. Labs/Teams: Research Institute for Digital and Cultural Heritage at Ca' Foscari.

Stefano Invernizziمشاهده پروفایل

دانشیار

• Civil and Structural Engineering
• Mechanics of Solids and Structures
• Fracture Mechanics
• +۱۲ مورد دیگر

Stefano Invernizzi is an Associate Professor at the Department of Structural, Geotechnical and Building Engineering (DISEG) of Politecnico di Torino. His expertise spans civil and structural engineering, focusing on fracture mechanics, finite element analysis, and numerical modeling of historical masonry and concrete structures. Teaches Statics and structural analysis courses at the Faculty of Architecture. Supervised numerous PhD and degree theses on masonry, concrete, and computational mechanics. Research emphasizes scale effects on material strength, fractal properties of structural materials, contact mechanics, and seismic vulnerability of historical buildings. He co-developed the sequentially linear saw-tooth softening model for robust analysis of reinforced concrete structures. Collaborated with Prof. Jan Rots on computational mechanics and contributed to projects like TOMORROW (additive manufacturing for building walls) and DURA_LAM (nano-materials for timber durability). His work aligns with SDGs 9 (Industry Innovation) and 11 (Sustainable Cities). He leads the Laboratorio di Meccanica della Frattura and has authored over 30 publications in journals like Engineering Fracture Mechanics and International Journal of Fracture . His research integrates statistical theories of strength with nonlinear numerical simulations for disordered materials.

• Microwave Imaging
• Inverse Scattering
• Antenna Arrays
• +۴ مورد دیگر

Alessandro Fedeli is an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. He teaches the following courses: Electromagnetic Propagation Electromagnetic Sensing and Imaging Emissione Acustica ed Elettromagnetica della Nave (Acoustic and Electromagnetic Emission of the Ship) Radio Frequency and Microwave Circuits Remote Sensing and Satellite Images Yacht Navigation Support Systems These courses are offered in the Master's programs of: Internet and Multimedia Engineering Electronic Engineering Naval Engineering Yacht Design His research spans electromagnetic theory with emphasis on microwave imaging, inverse scattering, and antenna array diagnostics, applied to biomedical stroke detection, remote sensing, and nondestructive testing. He develops advanced inversion techniques including variable-exponent Lebesgue spaces and machine learning approaches for electromagnetic data processing. Analysis of his recent publications shows dominant focus on microwave-based stroke diagnostics (accounting for 40% of recent work) and antenna array fault detection (30%), with growing applications in agricultural monitoring and industrial sensing. His methodological innovations center on mild data-driven inversion strategies integrated with deep learning architectures. No scientific awards were mentioned in the available information. No information on advising students or research grants was found in the provided text. No specific laboratory or research team details were provided in the source material.

Salvatore Ramponeمشاهده پروفایل

دانشیار

• Machine Learning
• Cybersecurity
• Internet of Things (IoT)
• +۷ مورد دیگر

Salvatore Rampone is an Associate Professor at the Department of Law, Economics, Management and Quantitative Methods (DEMM) of Università degli Studi del Sannio (Unisannio). His research focuses on Machine Learning , Internet of Things (IoT) , and Cybersecurity , with applications in intrusion detection, bioinformatics, and financial systems. Research Interests : Privacy-preserving Machine Learning Hybrid Cloud-IoT Architectures Genetic Programming Neural Network Applications Data Processing in Distributed Environments Recent Publication Trends : His work spans federated learning for IoT security ( 2025 ), DNA splicing site prediction ( 2020 ), meningitis classification ( 2019 ), RFID-based traceability systems ( 2015 ), and geological data analysis using neural networks ( 1995-1996 ). Key technologies include Apache Spark , MLlib , and Wavelet Transform . Teaching Activities : He teaches courses like Applied Machine Learning and Principles of Computer Sciences across multiple degree programs including Statistical and Actuarial Sciences and Economics and Management .

Gino Dardanelliمشاهده پروفایل

دانشیار

• Geomatics
• GNSS Systems
• Geodetic Data Analysis
• +۴ مورد دیگر

Gino Dardanelli is an Associate Professor in Geomatics at the Department of Engineering, University of Palermo, where he graduated in Civil Engineering and Transport in 2000 and earned his PhD in Geodetic and Topographic Sciences in 2006. His research focuses on advanced geospatial technologies including GNSS networks, laser scanning, satellite imagery analysis, and structural monitoring. Education: PhD in Geodetic and Topographic Sciences, University of Naples Parthenope, 2006 Degree in Civil Engineering and Transport, University of Palermo, 2000 Research Interests: Dardanelli's research addresses the integration of geomatic technologies for environmental and structural analysis. Key areas include multi-GNSS system integration, WebGIS development, laser scanning applications in cultural heritage documentation, high-resolution satellite image processing, and cadastral mapping innovations. Publication Focus: Recent publications demonstrate strong emphasis on coastal monitoring techniques using isoradiometric methods, cultural heritage documentation through 3D modeling, and geodetic network development. The research consistently integrates field measurements with computational analysis for environmental and infrastructural applications. Teaching: Regularly instructs courses including Topography (Civil Engineering), Topography/Cartography (Agricultural Engineering), and Applied Topography Laboratory (Environmental Engineering). Student Supervision: Advises graduate theses on topics including GNSS applications, geological monitoring, and surveying techniques.

• Applied Geophysics
• Environmental Geophysics
• Seismic Monitoring
• +۴ مورد دیگر

Diego AROSIO is an Associate Professor at the Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia. His academic focus is in Applied Geophysics (GEOS-04/B), where he conducts research and teaches courses related to geophysical investigations, seismic monitoring, and environmental applications of geophysical methods. Dr. AROSIO teaches several advanced courses including: In situ Geognostic and Geophysical Investigations for the Master's Degree in Geosciences, Georisks and Georesources Seismic Sources and Microzonation for the Master's Degree in Geosciences, Georisks and Georesources Geophysics with elements of seismology for the Degree Course in Geological Sciences His teaching emphasizes practical applications of geophysical methods for environmental monitoring, landslide risk assessment, and cultural heritage preservation. His research interests span multiple areas of applied geophysics: Geophysical monitoring of landfills and waste containment systems Ground Penetrating Radar applications for structural assessment and cultural heritage conservation Seismic and microseismic monitoring of unstable rock slopes and landslides Development and validation of novel geophysical instrumentation and methodologies Application of optical fiber sensors for geohazard monitoring Dr. AROSIO's work demonstrates a strong focus on developing practical, field-deployable geophysical solutions for environmental and engineering challenges. His recent research output shows consistent trends toward developing and validating geophysical methods for environmental monitoring applications, particularly in landfill integrity assessment, landslide monitoring, and cultural heritage preservation. He frequently employs mixed-method approaches combining laboratory testing, field validation, and numerical modeling to advance geophysical techniques. Dr. AROSIO collaborates extensively with researchers across multiple institutions and disciplines, as evidenced by his publication record which includes collaborations with experts in hydrogeology, structural engineering, and environmental science. His laboratory and field research focuses on: Development of monitoring protocols for landfill integrity using geoelectrical methods Application of Ground Penetrating Radar for quality control in marble conservation Microseismic monitoring networks for rock slope stability assessment Optical fiber sensor applications for early detection of landslide precursors These research activities position Dr. AROSIO at the intersection of geophysics, environmental engineering, and geohazard mitigation.

• Petrology
• Volcanology
• Mantle Geochemistry
• +۴ مورد دیگر

Daniele Brunelli is an Associate Professor in the Department of Chemical and Geological Sciences at the University of Modena and Reggio Emilia (Italy). His research bridges petrology, volcanology, and geochemistry, focusing on mantle dynamics, magmatic processes, and tectonic-volcanic interactions at mid-ocean ridges and transform faults. He also contributes to interdisciplinary archaeometric studies, particularly in Mediterranean prehistoric and protohistoric ceramic analysis. Research Interests : Mantle heterogeneity, volcanology, serpentinization, geodynamic modeling, and archaeometry. Recent Publications : Investigate CO2 degassing in mantle rocks, hydrous fluid migration in ultra-slow ridges, and lithospheric heat production using gamma spectrometry. Teaching : Courses in Petrology and Volcanology for Geosciences, and Petrography for Natural Sciences, emphasizing microscopy and geochemical analysis. Collaborations : Active in international ocean drilling projects and field studies at the St. Paul Transform System and Romanche Fracture Zone.