جستجوی استاد راهنمای دانشگاهی

• Numerical Analysis
• Computational Electromagnetism
• Finite Element Methods
• +۳ مورد دیگر

Ana Maria Alonso Rodriguez is a Full Professor of Numerical Analysis at the Department of Mathematics, University of Trento. She holds a PhD in Applied Mathematics from Universidad Complutense de Madrid (1993) and has held academic positions across Italy and Spain since 1990. Her research focuses on numerical methods for partial differential equations, computational electromagnetism, finite element methods, and domain decomposition techniques. She has organized international workshops and minisymposia, including the 2022 Oberwolfach workshop on Hilbert Complexes and the 2018 ICOSAHOM conference session on high-order methods. Her work bridges numerical analysis, topology, and applied electromagnetism, with recent contributions to Whitney finite elements and discrete potential theory. Education: PhD in Applied Mathematics, Universidad Complutense de Madrid (1988-1993) Licenciatura en Ciencias Matematicas, same institution (1982-1987) Research emphasizes high-order discretizations for electromagnetic problems, leveraging finite element exterior calculus and graph-based decomposition techniques. Recent work (2024) advances tree-cotree methods for curl operator spectra and Whitney form interpolation. She actively collaborates with international institutions like the CI2MA in Chile and the Laboratoire J. A. Dieudonné in France. Teaching includes courses on numerical PDEs, finite elements, computational electromagnetism, and MATLAB-based numerical analysis at both undergraduate and PhD levels. She has supervised numerous courses in Italy and Spain since 2000, integrating practical software tools like FreeFem and MODULEF into instruction.

Marco Paggiمشاهده پروفایل

استاد

• Fracture mechanics
• Contact mechanics
• Computational methods for nonlinear partial differential equations
• +۱۵ مورد دیگر

Marco Paggi is a Full Professor of Structural Mechanics at the IMT School for Advanced Studies Lucca, Italy, since 2017. He previously held academic roles at Politecnico di Torino (Assistant Professor, 2007-2013) and has been an Alexander von Humboldt Fellow at Leibniz University Hannover. His research focuses on fracture mechanics, contact mechanics, and computational methods applied to renewable energy systems, composite materials, and multi-scale modeling. Key Themes: Fracture propagation, contact interfaces, phase field modeling, photovoltaic durability, and material heterogeneity. Awards: Stanford Top 2% Scientists (2020-2024) Research.com Top Scientists (2022-2024) European Structural Integrity Society Young Scientist Award (2010) Publications: His work spans tribology, computational fracture mechanics, and material degradation, with recent emphasis on phase field modeling for quasi-brittle materials and photovoltaic systems. He has pioneered methods for multi-scale and multi-physics analysis of structural systems. Mentorship: Supervised 17 PhD graduates and 14 postdocs, including award-winning researchers like Pietro Lenarda and Zeng Liu.

• Artificial Neural Networks
• Chaotic Oscillators
• Circuit Analysis and Modeling
• +۹ مورد دیگر

Fernando Corinto is a Research Fellow at the Department of Electronics and Telecommunications (DET) , Polytechnic University of Turin , and a member of the SmartData@PoliTO Big Data and Data Science Laboratory. He holds a European Doctorate in Electronics and Communications Engineering (2005) and was a Marie Curie Fellow (2004) at University College Dublin, focusing on cardiac fibrillation modeling and chaotic systems. Education : Laurea (2001) and Ph.D. (2005) in Electronics and Communications Engineering from Politecnico di Torino His research spans nonlinear dynamical systems , memristor devices , and complex network modeling , with over 50 publications. Key projects include RECOMMEND (2024–2027) and COSMO (2020–2024), where he served as Scientific Director . His recent work involves memristor-based neuromorphic systems and nonlinear circuit applications in biomedical and industrial contexts. He supervises PhD students Rosanna Cavazzana and Davide Rossetti and teaches Nonlinear Systems for Engineering (Mathematical Engineering) and Memristor-based Neuromorphic Systems (Electrical Engineering). His scientific contributions include the Flux-Charge Analysis Method and Bifurcations without Parameters in memristor circuits. He holds a national/international patent for skin ulcer classification algorithms and has led commercial research projects in biomedical and packaging systems.

• Antennas
• Applied Electromagnetics
• Computational Electromagnetics
• +۲ مورد دیگر

Giuseppe Vecchi is a Full Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino , Italy. He leads the Applied Electromagnetics research group and contributes to projects in computational electromagnetics, metamaterials, and biomedical applications of electromagnetic fields. He has been a IEEE Fellow since 2010 and serves on PhD college committees for Electrical, Electronic, and Communications Engineering. Research Interests : Antennas, Applied and Computational Electromagnetics, Metamaterials, Microwave Imaging for medical applications, Nuclear Fusion Reactor Physics. Scientific Leadership : Principal Investigator for projects like METEOR, MTSA, and RESOLVED-K, focusing on terahertz generation, metasurface antennas, and real-time temperature mapping in hyperthermia. Awards : IEEE Fellow (2010), recognizing his contributions to electromagnetic simulations and antenna design. Students : Supervises PhD candidates in advanced antenna engineering, computational electromagnetics, and biomedical applications, including Owais Khan, Francesco Lattanzio, and Sara Paknezhad Panahi. Patents : Holds multiple patents in antenna diagnostics, encrypted metasurface antennas, and microwave soil disinfection systems.

• Numerical Analysis
• Numerical Methods for Partial Differential Equations
• Virtual Element Methods
• +۱۴ مورد دیگر

Stefano Scialo' is an Associate Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab and serves as the contact person for the Bachelor's Degree Program in Mathematics for Engineering (L3). His academic journey began with a Master’s in Aerospace Engineering (2007), followed by a PhD in Mathematics for Engineering (2014), both from the same institution. After his PhD, he held postdoctoral and Assistant Professor positions at DISMA before being promoted to Associate Professor. Education: PhD in Mathematics for Engineering, Politecnico di Torino, 2014 Master in Aerospace Engineering, Politecnico di Torino, 2007 His research focuses on advanced numerical methods for partial differential equations, particularly in the context of complex multiscale and multiphysics systems. Key areas include the Virtual Element Method (VEM), domain decomposition techniques based on PDE-constrained optimization, and the simulation of flows in fractured porous media. He has made significant contributions to 3D-1D coupled problems, with applications in geosciences and biomedical modeling such as tumor-induced angiogenesis. His methodological work emphasizes robustness, scalability, and applicability to non-conforming and polygonal meshes, enabling high-performance computing solutions. The trend in his recent publications reveals a strong emphasis on developing and analyzing mixed virtual element methods, optimization-based coupling strategies, and their applications to engineering and biological systems. His work bridges theoretical numerical analysis with practical implementations in fluid dynamics and subsurface flow. Scientific Contributions: Principal Investigator of the FREYA project (2023–2026) on hybrid numerical approaches for fault reactivation. Coordinator of the INdAM-GNCS research project (2018–2019). Member of the research group "Numerical Analysis and Scientific Computing" at DISMA. Stefano Scialo' actively supervises doctoral students, including Matteo Trombini in the PhD program in Mathematical Sciences. He teaches a range of courses such as Advanced Scientific Programming in MATLAB, Numerical Methods and Scientific Computing, and specialized topics on Virtual Element Methods. He also contributes to curriculum development and academic governance through roles in doctoral colleges and degree program committees, including those for Mathematical, Mechanical, Aerospace, and Automotive Engineering. Laboratories and Research Groups: Member, Interdepartmental Center Ec-L - Energy Center Lab Research Group: Numerical Analysis and Scientific Computing (DISMA)

Michele Ruggeriمشاهده پروفایل

استادیار

• Numerical Analysis
• Partial Differential Equations
• Materials Science
• +۶ مورد دیگر

Michele Ruggeri is an Assistant Professor of Numerical Analysis (RTD-B) at the Department of Mathematics, University of Bologna, and an Honorary Lecturer at the University of Strathclyde, UK. His research focuses on numerical analysis of partial differential equations in materials science and engineering, including liquid crystal theory, micromagnetism, nonlinear elasticity, and spintronics. He is also active in developing numerical methods for uncertainty quantification and model order reduction. Education: PhD in Technical Mathematics (TU Wien, Austria), Laurea Magistrale in Mathematics (University of Pavia, Italy), and a Diploma in Science and Technology from Scuola Universitaria Superiore IUSS, Italy. He holds a Fellowship (FHEA) from Advance HE and a PGCert in Learning & Teaching in Higher Education from the University of Strathclyde. His work emphasizes finite element methods and their applications, with contributions to computational micromagnetics and software development (e.g., Commics). He is affiliated with the (AM)² Research Center on Applied Mathematics and ARCES at the University of Bologna. Awards: Fellowship (FHEA), Advance HE, UK. Key Projects: Development of numerical methods for micromagnetic simulations, uncertainty quantification in stochastic models. Contact: m.ruggeri@unibo.it

• Aerospace Engineering
• Flight Dynamics
• Aircraft Design
• +۳ مورد دیگر

Karim Abu Salem serves as a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, affiliated with the College of Mechanical, Aerospace, and Automotive Engineering. He additionally holds invited membership in the College of Management and Production Engineering. His teaching portfolio includes Aerospace Vehicle Design, Space Flight Mechanics/Structures, Space Environment Operations, and Aeronautical Legislation courses for both bachelor's and master's programs in Aerospace Engineering. Dr. Abu Salem's research centers on sustainable aviation innovation, specializing in box-wing aircraft configurations, hybrid-electric and hydrogen propulsion systems, and advanced structural design methodologies. His work addresses critical challenges in emissions reduction, flight dynamics optimization, and climate impact mitigation through computational modeling, metamodeling techniques, and multidisciplinary design analysis. Key focus areas include unconventional aircraft architectures, power management systems, and metamaterial applications for next-generation aerospace vehicles. Analysis of his recent publications (2023-2025) reveals a concentrated research trajectory toward decarbonizing regional and medium-range aviation. His work demonstrates increasing emphasis on liquid hydrogen propulsion, box-wing aerodynamic efficiency, and holistic environmental impact assessment beyond CO 2 emissions. The publications exhibit strong collaboration patterns with researchers like G. Palaia and E. Carrera, primarily targeting high-impact journals in aerospace engineering and sustainability. As an active educator, Dr. Abu Salem contributes to curriculum development across multiple aerospace engineering programs, bridging theoretical concepts with emerging sustainable aviation technologies through his course collaborations and lectures.

Sabatino Cuomoمشاهده پروفایل

دانشیار

• Landslide Mechanics
• Geotechnical Engineering
• Soil Mechanics
• +۵ مورد دیگر

Sabatino Cuomo is an Associate Professor of Geotechnics at the Department of Civil Engineering, University of Salerno, Italy. He has been actively involved in teaching and research since completing his PhD in Civil Environmental Engineering at the same university in 2006. His academic career includes numerous international collaborations and leadership roles in research projects focused on landslide mechanics and soil behavior. His educational background includes: PhD in Civil Environmental Engineering (2006), University of Salerno Master in Civil Engineering with honors and special mention (2002), University of Salerno Cuomo's research focuses on geotechnical aspects of natural hazards, particularly landslides and soil erosion. His work spans multiple scales from grain-level soil mechanics to regional landslide susceptibility analysis. He specializes in numerical modeling of flow-type landslides, unsaturated soil mechanics, and the development of constitutive models for predicting soil behavior under extreme conditions. His research integrates laboratory testing with advanced computational methods to address complex geotechnical challenges related to natural disasters. Analysis of his publication record reveals a consistent focus on landslide dynamics, with particular emphasis on numerical simulation techniques (FEM, SPH, MPM) for modeling post-failure behavior. His work shows increasing sophistication in handling unsaturated soil conditions and multi-scale approaches from grain to specimen level. The research demonstrates strong interdisciplinary connections between geomechanics, hydrology, and natural hazard assessment. His notable scientific achievements include: Editor Choice Best Paper 2013 in Canadian Geotechnical Journal European Representative of YMPG of ISSMGE (2012) 5th Sapio Prize by Italian Geotechnical Society for best M.Sc. Thesis (2004) Prize for excellence of undergraduate studies (2004) Cuomo has served as coordinator for multiple international research projects, including collaborations with institutions in France, Spain, Switzerland, Norway, and China. He has been actively involved in teaching both at his home institution and as a visiting professor at several international universities. His institutional service includes board membership in the Engineering Faculty and Department of Civil Engineering at University of Salerno since 2015, and significant involvement in PhD programs. He has also contributed to international standardization efforts through membership in technical committees of ISO and UNI. Most of his research activities have been developed within the International LARAM School (LAndslide Risk Assessment and Mitigation) for PhD students, which he has helped organize and lead since 2006, fostering international collaboration in landslide research.

• Antennas and propagation
• Applied electromagnetics
• Boundary element methods
• +۷ مورد دیگر

Francesco Paolo Andriulli is a Full Professor at the Department of Electronics and Telecommunications within the College of Electronic, Telecommunications and Physics Engineering at Polytechnic University of Turin. His research focuses on advanced computational methods in electromagnetics with applications spanning from antenna design to medical imaging. His primary research interests include: Antennas and propagation Applied electromagnetics Boundary element methods Electromagnetics based neuroimaging Integral equations Electromagnetic imaging Radiation and antennas Computational Electromagnetics Professor Andriulli's recent publications demonstrate a strong focus on developing novel computational techniques for solving electromagnetic problems. His work particularly emphasizes operator filtering strategies, preconditioning methods, and regularization techniques that address longstanding challenges in computational electromagnetics, especially at low frequencies and for complex geometries. His research bridges theoretical mathematics with practical engineering applications in communications, medical imaging, and signal processing. His notable awards include: IEEE Fellow (2023) EurAAP Leopold B. Felsen Award for Excellence in Electrodynamics (2015) URSI Issac Koga Gold Medal (2014) IEEE AP-S Donald G. Dudley Jr. Undergraduate Teaching Award (2014) Professor Andriulli actively mentors numerous PhD students and leads several major research initiatives. He serves as Principal Investigator for multiple competitive research grants including ERC, EIC, and PRIN projects with total funding spanning from 2017 to 2026. His current projects focus on developing advanced computational tools for brain imaging, electromagnetic sensing, and industrial applications. He has held editorial positions for leading journals including IEEE Transactions on Antennas and Propagation and serves as Editor-in-Chief for IEEE Antennas and Propagation Magazine. He is an active member of the Applied Electromagnetics research group at Politecnico di Torin, where he collaborates with interdisciplinary teams to advance computational methods for electromagnetic problems across medicine, communications, and engineering domains.

Mirco Raffettoمشاهده پروفایل

استاد

• Electromagnetic Fields
• Computational Electromagnetics
• Metamaterials
• +۷ مورد دیگر

Mirco Raffetto is a Full Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa under the Polytechnic School. He actively participates in academic governance as a member of the Department Board, Scientific Council of the Interuniversity Center for Electromagnetic Fields and Biosystems (ICEMB), and School Council. Research Focus: His work spans Electromagnetic field analysis for moving media Computational electromagnetics with finite element methods Metamaterial modeling and inverse scattering Photobiomodulation effects on mitochondrial function Microwave imaging for biomedical applications Waveguide and cavity analysis for industrial systems His research combines theoretical rigor with numerical simulations to solve complex problems in electromagnetics and interdisciplinary biosystems. Teaching: He teaches graduate courses on Electromagnetic Fields in multiple degree programs including Computer Engineering, Electronics Engineering, and Biomedical Engineering. His teaching emphasizes both fundamental theory and practical applications.

• Numerical Analysis
• Partial Differential Equations
• Wave Propagation
• +۳ مورد دیگر

Andrea Moiola is a Researcher in the Department of Mathematics at the University of Pavia, specializing in Scientific Computing with a focus on Numerical Methods and Applications. His work centers on developing and analyzing advanced numerical techniques for partial differential equations, particularly wave propagation problems (acoustic, electromagnetic, and quantum). He is affiliated with the Scientific Computing Group and contributes to interdisciplinary projects involving boundary element methods, discontinuous Galerkin methods, and space-time formulations. Research interests include Helmholtz equations, Maxwell's equations, and Schrödinger equations, with applications to scattering problems, fractal geometry, and heterogeneous media. He emphasizes high-frequency asymptotics, stability analysis, and efficient computational strategies for challenging problems like acoustic scattering by fractal screens and wave propagation in non-smooth domains. His methods often leverage Trefftz-type basis functions and polynomial approximations to enhance accuracy and efficiency. Publications highlight contributions to numerical analysis of wave equations, boundary integral equations, and isogeometric methods. He has explored topics such as evanescent plane wave approximations, Hausdorff-measure boundary element methods, and polynomial quasi-Trefftz spaces. His work bridges theoretical foundations (e.g., Sobolev spaces on rough sets) with practical implementations, ensuring robust numerical solutions for complex geometries and physical phenomena.

Silvia Marconiمشاهده پروفایل

پژوهشگر

• Applied Mathematics
• Biomedical Modeling
• Computational Biology
• +۳ مورد دیگر

Silvia Marconi is a Researcher at the Department of Methods and Models for Economy, Territory, and Finance at Sapienza University of Rome. She teaches the Basic Mathematics Course for Economics and Finance students and coordinates doctoral tutoring services. Her academic background includes a PhD in Mathematical Models and Methods for Technology and Society from Sapienza University. Her research spans applied mathematics with focus areas in: Biomedical modeling of cardiovascular and pulmonary systems Computational approaches to stem cell therapy and tissue regeneration Image processing techniques for digital forensics Signal processing and frequency analysis Marconi's recent publications demonstrate strong interdisciplinary collaboration, particularly in developing computational models for medical applications. Her work frequently combines mathematical theory with clinical problems, especially in cardiology and medical device simulation. The research outputs show consistent focus on developing numerical solutions for physiological systems. She has held multiple research positions including at the National Research Council (CNR) and has collaborated on projects investigating cardiovascular modeling, stem cell behavior, and image processing algorithms. Her teaching experience includes courses in Mathematical Analysis for Engineering programs at both undergraduate and doctoral levels.

• Numerical Analysis
• Acoustic Waves
• Elasticity
• +۹ مورد دیگر

Letizia Scuderi is a Tenured Associate Professor at the Department of Mathematical Sciences 'GL Lagrange' (DISMA) , Politecnico di Torino. She is affiliated with the College of Mathematical Engineering and contributes to teaching in Chemical and Sustainable Process Engineering, Mathematics for Engineering, and Aerospace Engineering programs. Her research focuses on numerical methods for wave propagation problems, particularly acoustic and elastic waves in bounded and unbounded domains. Scientific Branch: Numerical Analysis (MATH-05/A) Research Interests: Acoustic waves, Elasticity, Integral Equations, Wave Propagation, Computational Methods, etc. She actively collaborates with the Numerical Analysis and Scientific Computing (DISMA) research group. Her work involves coupling Boundary Element Methods (BEM) , Finite Element Methods (FEM) , and Virtual Element Methods (VEM) to solve partial differential equations in complex domains. Recent publications highlight her contributions to: Wave scattering problems Time-domain simulations Non-reflecting boundary conditions Curved virtual elements Convolution quadrature Wavelet-based matrix sparsification She supervises PhD students Davide Collato and Matteo Ferrari , focusing on non-symmetric coupling techniques and wave propagation in unbounded domains.

Alberto Milazzoمشاهده پروفایل

استاد

• Aerospace Structures
• Composite Materials
• Computational Mechanics
• +۱ مورد دیگر

Alberto Milazzo is Full Professor of Aerospace Structures at University of Palermo's Engineering department. His research develops computational methods for aerospace structures, composite materials, and fracture mechanics. Teaching responsibilities include Aerospace Construction, Aerospace Structures, and Materials courses. Research advances numerical methods for structural analysis including discontinuous Galerkin formulations, boundary element techniques, and homogenization approaches for complex materials. Published work demonstrates applications in UAV design, morphing structures, and hydrogen storage systems for sustainable aviation. Recent projects involve European collaborations on multiscale analysis of aircraft structures.

• Numerical Analysis
• Virtual Element Methods
• Finite Element Analysis
• +۷ مورد دیگر

Stefano Scialò is an Associate Professor at the Department of Mathematical Sciences (DISMA) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab and serves as Academic Advisor for Mathematics for Engineering. His academic journey at Politecnico di Torino began with a Master's degree in Aerospace Engineering (2007), followed by a PhD in Mathematics for Engineering (2014), after which he progressed from postdoctoral fellow to Assistant Professor and ultimately to his current position as Associate Professor. Scialò's research focuses on advanced numerical methods with particular emphasis on Virtual Element Methods (VEM), development of discretization strategies for non-conforming meshes, and numerical approaches for coupled problems with high dimensionality gaps (3D-1D). His work addresses flow simulation in complex geometries, PDE-constrained optimization, and uncertainty quantification techniques. He has made significant contributions to the development of domain decomposition strategies based on optimization approaches, which have applications in porous media flow, fracture modeling, and biomedical simulations. Analysis of his recent publications reveals a consistent focus on extending and refining the Virtual Element Method framework, particularly for challenging applications involving complex geometries, fractures, and multi-dimensional coupling. His work demonstrates a strong integration of theoretical development with practical implementation, often targeting high-performance computing environments. The research spans multiple application domains including geoscience, biomedical engineering, and computational fluid dynamics, showcasing the versatility of his numerical approaches. Scialò actively supervises graduate students, with Matteo Trombini currently pursuing a PhD under his guidance in the Mathematical Sciences program. He contributes to multiple research projects, most notably as Scientific Director of the FREYA project (2023-2026) focused on fault reactivation modeling. His teaching portfolio is extensive, covering advanced numerical methods, scientific computing, and mathematical foundations across various engineering disciplines at both undergraduate and graduate levels. He participates in multiple research networks including the INdAM-GNCS Project (2018-2019) and aligns his work with Sustainable Development Goals related to quality education, industry innovation, and sustainable cities. His research group within DISMA focuses on Numerical Analysis and Scientific Computing, with particular expertise in 3D-1D coupled problems.