جستجوی استاد راهنمای دانشگاهی

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)

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

Domenico Mucci is an Associate Professor at the Department of Mathematics, University of Parma. His research focuses on calculus of variations, geometric analysis, and partial differential equations with applications to material science and continuum mechanics. Key areas of investigation include energy relaxation in constrained mappings, geometric curvatures of irregular curves, and fracture mechanics in elastic materials. Education details are not explicitly provided, but his extensive publication record indicates advanced expertise in mathematical analysis and applied mathematics. His work often involves collaborations with leading researchers such as P.M. Mariano and L. Nicolodi, addressing topics like BV spaces, Sobolev maps, and the mathematical foundations of non-smooth geometric structures. Research interests prominently feature relaxed energies in constrained systems , nonlinear elasticity models , and geometric singularities . Recent articles explore generalized Varga materials, minimal hyperfurfaces, and crack nucleation in shells. His contributions bridge pure mathematical analysis with applied mechanics, addressing problems in materials science and engineering. No scientific awards are explicitly mentioned, but his prolific publication history (64 papers listed) reflects sustained academic impact. Ongoing work includes studies on fractional Sobolev spaces, weak curvatures, and variational problems in high-dimensional settings. Collaborations often involve theoretical frameworks for continuum kinematics and incompatible strain decompositions.

• Calculus of Variations
• Geometric Analysis
• Partial Differential Equations
• +۴ مورد دیگر

Elena Toscano is a researcher in the Department of Mathematics and Computer Science at the University of Palermo. She specializes in numerical analysis, machine learning, and computational mathematics, with a focus on mesh-free methods like Smoothed Particle Hydrodynamics (SPH) and applications to physics, engineering, and interdisciplinary fields. Teaching: Numerical Analysis (Master's in Informatics and Mathematics, 2025/2026) Research Areas: Signal/image processing, SPH consistency restoration, genetic algorithms for tomography, and mathematical-literary collaborations (e.g., Oulipo). Her publications span computational physics, machine learning, and mathematical modeling, emphasizing numerical stability and interdisciplinary innovation.

• Numerical Analysis
• Machine Learning
• Computational Mathematics
• +۴ 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.

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

Tommaso Vanzan is a Researcher at the Department of Mathematical Sciences "GL Lagrange" (DISMA) at Politecnico di Torino . He holds a PhD from the University of Geneva (2020) under Prof. Martin J. Gander and was a postdoctoral researcher at EPFL (2020-2023) under the CSQI Chair. His research focuses on iterative methods , optimization algorithms , and uncertainty quantification for PDE-constrained problems, with applications in Stokes-Darcy coupling and manifold-based machine learning . His recent work includes multilevel quadrature for risk-averse optimization and spectral coarse spaces for substructured Schwarz methods. He has received the SWICCOMAS Prize 2021 for computational methods. He contributes to the open-source GDGMatlab library for finite element and discontinuous Galerkin methods, emphasizing educational and research usability over high-performance computing. Future developments target generalized boundary conditions in DG formulations.

• Numerical Analysis
• Domain Decomposition
• PDE-Constrained Optimization
• +۷ مورد دیگر

Valeria Simoncini is a Full Professor in the Department of Mathematics at the University of Bologna. Her research focuses on numerical analysis, linear algebra, and computational mathematics, with particular emphasis on matrix equations, Krylov subspace methods, and optimization algorithms. She has contributed to advancements in iterative solvers, randomized sketching techniques, and preconditioning strategies for large-scale problems. Her work often intersects with applications in partial differential equations and scientific computing. Her research interests include the development of efficient numerical methods for solving matrix equations, such as Sylvester and Lyapunov equations, as well as optimization problems arising in control theory and data science. She explores topics like tensor decompositions, approximation techniques for matrix functions, and the analysis of numerical stability in iterative algorithms. Simoncini’s publications span over two decades, with recent contributions addressing the integration of randomized algorithms into numerical linear algebra, the acceleration of quadrature methods, and the application of low-rank approximations in high-dimensional problems. Her work frequently appears in top-tier journals such as SIAM Journal on Matrix Analysis and Applications and Numerical Linear Algebra with Applications . Despite the extensive list of publications, no specific scientific awards or grants are explicitly mentioned in the provided text. She advises students through her academic role but no specific advisee names are listed here.

• Numerical Analysis
• Linear Algebra
• Matrix Equations
• +۴ مورد دیگر

Giovanni Pisante is an Associate Professor at the Department of Mathematics and Physics (Università degli Studi della Campania 'Luigi Vanvitelli'). His research focuses on Calculus of Variations, Nonlinear Analysis, and Partial Differential Equations, with emphasis on regularity theory, optimal design problems, and free boundary phenomena. He has contributed to studies involving anisotropic functionals, geometric inequalities, and stability of functional inequalities. Education: Advanced degrees in Mathematics, likely from prestigious Italian institutions (not explicitly stated). His work bridges analytical techniques with geometric problems, addressing topics like degenerate elliptic equations, elasticity theory, and convex geometry. Recent publications explore multiphase optimal design and epsilon-regularity in anisotropic settings. He has participated in conferences on Nonlinear Analysis, PDEs, and Variational Problems, including roles as speaker and organizer of events such as 'START for Analysis' and workshops on L∞ constrained variational problems. No scientific awards are explicitly listed, though his active publication record and conference involvement suggest sustained research engagement. He advises no listed students but collaborates with researchers like N. Fusco, M. Barchiesi, and L. Esposito. His work has implications for both theoretical mathematics and applied fields like material science.

• Calculus of Variations
• Nonlinear Analysis
• Partial Differential Equations
• +۳ مورد دیگر

Filippo Cagnetti is an Associate Professor (Professore di II fascia) in the Department of Mathematical, Physical and Computer Sciences at the University of Parma , Italy. He regularly teaches foundational courses such as Calculus 2A and Mathematical Analysis A to first- and second-year students enrolled in Mathematics, Geological Sciences (Earth Sciences), and Management Engineering degree programmes, spanning academic years from 2023/2024 through 2025/2026. His research lies at the intersection of calculus of variations , partial differential equations , and geometric measure theory . A recurrent theme is the rigorous derivation of effective models for materials with microstructures via deterministic and stochastic homogenisation , particularly for free-discontinuity problems that describe brittle fracture. Parallel efforts focus on symmetrisation inequalities (Pólya–Szegö, Steiner, Schwarz, Gaussian) and their rigidity properties: under which geometric or analytic conditions equality in an inequality forces the domain to be symmetric or even trivial. Over the past decade his publication portfolio shows a clear evolution from foundational results on viscosity solutions and large-time behaviour of Hamilton–Jacobi equations to highly specialised contributions on Korn- and Poincaré-Korn-type inequalities in spaces of special functions of bounded deformation (GSBD), and on optimal regularity of free boundaries in cohesive fracture models. The techniques employed combine Γ-convergence, fine properties of BV and GSBD spaces, measure-theoretic arguments, and stochastic two-scale convergence. Contact: Email: filippo.cagnetti@unipr.it

• Calculus of variations
• Partial differential equations
• Geometric measure theory
• +۴ مورد دیگر

Guido De Philippis is a Full Professor at the Courant Institute of Mathematical Sciences, New York University. His research focuses on geometric measure theory, partial differential equations, and calculus of variations. He has contributed to advancing understanding in minimal surfaces, optimal transport, and free boundary problems. His work often bridges geometric analysis with nonlinear PDE theory, addressing questions of regularity, existence, and stability. Affiliations: Courant Institute of Mathematical Sciences (NYU). Education: PhD in Mathematics (2013, Sobolev regularity for Monge-Ampère equations). De Philippis’s research interests include geometric flows, spectral optimization, and the structure of measures constrained by PDEs. His papers explore topics like anisotropic minimal surfaces, regularity of free boundaries, and quantitative isoperimetric inequalities. Notable contributions include foundational work on the Monge-Ampère equation and optimal transport theory. He has been recognized with the Chaire De La Vallée Poussin Prize Lectures (2020/21) and has organized conferences in geometric analysis and PDEs. His collaborations span across institutions, reflecting his international impact in mathematics.

• Geometric Measure Theory
• Partial Differential Equations (PDEs)
• Calculus of Variations
• +۴ مورد دیگر

Pierluigi Colli is a Professor in the Department of Mathematics at the University of Pavia. His research focuses on mathematical analysis of phase transition models, optimal control theory, and applications to tumor growth modeling. He leads the Mathematical Analysis and Applications research group and has contributed extensively to the study of Cahn-Hilliard equations, viscoelastic systems, and nonlinear PDEs. His work integrates advanced analytical techniques with computational approaches, addressing problems in material science, biological systems, and thermodynamics. Colli has published over 100 peer-reviewed articles, with recent emphasis on tumor growth models, fractional operators, and dynamic boundary conditions. His research interests include: Phase field systems and their applications Optimal control of PDEs Nonlinear parabolic equations Mathematical models in oncology Material deformation and viscoelasticity Nonlocal and fractional differential equations Recent studies analyze tumor growth dynamics with chemotaxis effects, sparsity-constrained control strategies, and the interplay between thermal memory and phase transitions. Colli’s contributions to well-posedness, asymptotic analysis, and numerical methods have advanced understanding of complex systems in applied mathematics.

• Mathematical Analysis
• Applied Mathematics
• Partial Differential Equations
• +۵ مورد دیگر

Enrico Pagani is an Associate Professor in the Department of Mathematics at the University of Trento. His career includes roles as a Researcher (1983–1987) and Associate Professor of Analytical Mechanics (1987–present). He specializes in Mathematical Physics, focusing on geometric mechanics, calculus of variations, and non-holonomic systems. His research spans general relativity, continuum mechanics, wave propagation, and historical analysis of mathematical contributions by Grassmann and Peano. Education: PhD in Physics, University of Genoa (1979). Research Interests: Geometric formulations of classical mechanics (Lagrangian/Hamiltonian systems). Constrained dynamical systems and variational principles. Non-holonomic constraints and optimal control theory. Historical analysis of Grassmann’s exterior algebra and Peano’s contributions to mathematical analysis. Publications: Over 38 peer-reviewed papers, including works on geometric constrained variational calculus, non-holonomic systems, and historical mathematical analysis. Recent focuses include second variation analysis and geometric interpretations of Peano’s work. Editorial Roles: Assistant Editor, NoDEA - Nonlinear Differential Equations and Applications (1993–1999). Member of Editorial Boards for Nonlinear Studies (2001–present) and Mathematics in Engineering, Science and Aerospace (MESA) (2009–present). Collaborations: Extensive collaboration with Enrico Massa (University of Genoa) on geometric mechanics and calculus of variations. Key projects include the geometric approach to non-holonomic systems and Peano/Grassmann historical analysis.

• Mathematical Physics
• Analytical Mechanics
• Calculus of Variations
• +۷ مورد دیگر

Fabio Vicini is a Fixed-term tenure-track Assistant Professor at the Department of Mathematical Sciences (DISMA), Politecnico di Torino. He is affiliated with the Numerical Analysis and Scientific Computing research group and contributes to the College of Civil and Building Engineering and the College of Mathematical Engineering. His work bridges theoretical numerical methods and high-performance computing applications. Research Interests: His primary research areas include Adaptive Finite Element Methods, Virtual Element Methods (VEM), Computational Fluid Dynamics (CFD), Parallel Computing, Reduced Order Modeling, and High-Performance Solvers for Partial Differential Equations in complex geometries. His work emphasizes algorithmic robustness, efficiency, and scalability in scientific simulations. Recent Publication Trends: His latest articles (2024–2025) focus on advancing the Virtual Element Method—particularly in 3D adaptive settings, stabilization-free error bounds, mesh optimization, and performance on poorly shaped elements. Additional work involves nonlinear optimization for material simulation and extended finite elements for coupled 3D–1D problems, reflecting a strong trend in numerical analysis and computational mathematics. Scientific Awards: Communicating Research to the Citizens (Politecnico di Torino, 01-07-2025) Effective Communication with Businesses (Politecnico di Torino, 01-07-2025) Advising and Teaching: He supervises two PhD students—Lorenzo Neva and Karol Lizeth Cascavita Mellado—in the Mathematical Sciences program. He teaches core courses such as High-Performance Scientific Computing I & II, Model Order Reduction and Machine Learning, and Programming and Scientific Computing across multiple engineering programs including Aerospace, Automotive, and Mathematical Engineering. Labs and Research Groups: He is an active member of the Numerical Analysis and Scientific Computing research group at DISMA, focusing on the development and analysis of numerical schemes for large-scale and complex-domain physical simulations.

• Numerical Analysis
• Adaptive Finite Element Method
• Virtual Element Methods
• +۹ مورد دیگر