جستجوی استاد راهنمای دانشگاهی

Gianluigi Pillonetto is an Assistant Professor at the Department of Information Engineering , University of Padova , where he has been employed since 2005. His academic career focuses on system identification, stochastic systems, and nonparametric regularization techniques. Born: January 21, 1975 in Montebelluna, Italy Education: Doctoral degree (1998) and PhD (2002) in Computer Science/Engineering Research roles: Visiting scholar (2000), Visiting scientist (2002), Research Associate (2002-2005) His research spans system identification, stochastic processes, and deconvolution problems, with a particular emphasis on Bayesian methods and kernel-based regularization. He has contributed to areas like distributed Gaussian regression, sparse system identification, and nonlinear stochastic modeling in physiological systems. Recent publications (2016-2021) examine Gaussian regression techniques for distributed systems, entropy-based kernel design, and nonlinear stochastic deconvolution. These works incorporate machine learning principles into control theory, focusing on applications in wireless communications, robotics, and biomedical engineering.

• System Identification
• Stochastic Systems
• Deconvolution Problems
• +۳ مورد دیگر

Mattia Tani is a researcher at the Department of Mathematics, University of Pavia. He is affiliated with the Scientific Computing research group focusing on Numerical Methods and Applications. His work centers on developing advanced numerical techniques for computational mechanics, particularly Isogeometric Analysis (IGA), space-time methods, and efficient solvers. Tani’s research emphasizes computational efficiency through low-rank approximations, preconditioning strategies, and parallelization techniques. His academic contributions include pioneering work on matrix-free methods, Tucker tensor-based solvers, and domain decomposition approaches for multi-patch geometries. Notable methodologies include the IETI-DP method for discontinuous Galerkin discretizations and weighted quadrature rules for hierarchical B-splines. Tani also explores applications in parabolic problems, Schrödinger equations, and thermal engineering simulations. Publications highlight a focus on bridging theoretical numerical analysis with practical computational tools, with emphasis on scalability and robustness for large-scale problems. His work is disseminated across top journals and conferences, reflecting interdisciplinary collaboration between applied mathematics and engineering.

• Computational Mathematics
• Numerical Analysis
• Isogeometric Analysis
• +۳ مورد دیگر

Maria Lucia Sampoli is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. She holds a PhD in Computational Mathematics and Operational Research from the University of Milan and has been a faculty member at the University of Siena since 1999, advancing from Research Assistant to tenured Assistant Professor in 2002 and to Associate Professor in 2010. Her academic journey includes a postdoctoral fellowship at the Technical University of Darmstadt and a CNR Senior Fellowship. PhD in Computational Mathematics and Operational Research, University of Milan (1998) Laurea in Mathematics (Honors), University of Florence (1994) Her research focuses on Numerical Analysis , particularly in Computer Aided Geometric Design (CAGD) , Isogeometric Analysis (IGA) , Pythagorean Hodograph (PH) curves and surfaces , Boundary Element Methods , and constrained interpolation and approximation . Recently, she has explored mathematical aspects of deep learning , especially the theoretical foundations of Graph Neural Networks. Her work bridges pure mathematical theory with engineering and computational applications. The most recent publications highlight a consistent trend in geometric modeling and numerical methods, with increasing interdisciplinary reach into machine learning. Topics span from high-precision curve and surface design to advanced numerical techniques for PDEs and the mathematical analysis of neural networks. She has participated in and organized numerous international conferences such as SIAM CSE, IGA, and SMART, and has been involved in multiple research projects, some as coordinator. While specific scientific awards are not listed, her invited talks at major conferences reflect recognition in her field. Maria Lucia Sampoli supervises graduate research and teaches courses including Numerical Calculation and Numerical Modeling . She is actively involved in academic service, including conference organization and research project leadership. She maintains an open-door policy for student consultations and is accessible via email for appointments. She is affiliated with the SAILab (Siena Artificial Intelligence Lab), indicating institutional engagement with AI and computational intelligence research.

• Numerical Analysis
• Computer Aided Geometric Design
• Isogeometric Analysis
• +۷ مورد دیگر

Alessandra Aimi is a Full Professor of Numerical Analysis at the Department of Mathematical, Physical and Computer Sciences of the University of Parma, Italy. She has held this position since November 1, 2023, following a distinguished academic career that includes roles as Associate Professor (2014-2023), Confirmed Researcher (2001-2014), and Assistant Professor (1997-2001) at the same institution. Her research focuses on computational mathematics with emphasis on boundary element methods, particularly the "Energetic BEM" approach for wave propagation problems. PhD in Computational Mathematics and Operations Research from the University of Milan (1998) Degree in Mathematics from the University of Parma (1990) with highest honors (110/110 cum laude) Professor Aimi's research spans numerical methods for wave propagation, elastodynamics, financial mathematics, and isogeometric analysis. She has made significant contributions to time-domain boundary element methods, with applications in engineering, finance, and robotics. Her work on "Energetic BEM" has become influential in the computational mechanics community, particularly for solving wave propagation problems in unbounded domains. She has developed novel approaches for elastodynamic contact problems with friction and for pricing financial derivatives using boundary element techniques. Her recent publications (2023-2025) demonstrate a strong focus on advancing time-domain boundary element methods, particularly for wave propagation and elastodynamics. There's a clear trend toward higher-dimensional problems (3D), adaptive meshing techniques, and interdisciplinary applications connecting computational mathematics with robotics and financial engineering. Her work increasingly integrates isogeometric analysis with boundary element methods and explores efficient computational strategies like ACA compression for large-scale problems. Professor Aimi has served as principal investigator for several competitive research grants, including "Time-domain Energetic BEM for elastodynamic problems, with advanced applications" (FIL2020). She has participated in numerous national and international research initiatives including GNCS projects, PRIN grants, and the PNRR program. Her editorial work includes membership on the editorial board of the Rivista di Matematica dell'Università di Parma and extensive reviewing for leading journals in computational mathematics and mechanics. She maintains active international collaborations with institutions including CRM in Barcelona, INRIA in Paris, and the University of Innsbruck. Her scientific leadership is evident through her participation in the IABEM International Association for Boundary Element Methods (serving on the executive council since December 2024) and other professional organizations including INdAM-GNCS, SIMAI, and UMI.

• Boundary Element Method
• Numerical Analysis
• Wave Propagation
• +۷ مورد دیگر

Salvatore Cuomo, Ph.D., is an Associate Professor of Numerical Analysis at the Department of Mathematics and Applications 'Renato Caccioppoli' of the University of Naples Federico II. He co-founded the MODAL Laboratory and the academic spin-off Predico s.r.l., focusing on mathematical modeling, data analysis, and AI applications. His research bridges theoretical numerical methods with practical AI solutions. Research Focus: Numerical Approximation (NA), Mathematical Aspects of Artificial Intelligence (MAI), and Scientific Machine Learning (SciML). Professional Contributions: Co-inventor of the PredicTS prediction patent, emphasizing real-world applications of numerical analysis and AI. His work spans data-driven modeling, B-spline functions, optimization landscapes in AI, and physics-informed neural networks for interdisciplinary problems.

• Numerical Analysis
• Mathematical Aspects of Artificial Intelligence
• Scientific Machine Learning
• +۲ مورد دیگر

Roles and Affiliations: Associate Professor of Statistics at Bocconi University's Department of Decision Sciences. Research Affiliate at Bocconi Institute for Data Science and Analytics (BIDSA), DONDENA Centre, and Laboratory for Coronavirus Crisis Research. Former Post-Doctoral Fellow at University of Padova and Visiting Scholar at Duke University. Education: Ph.D. (2016) and M.Sc. (2012) in Statistics from University of Padova. Research Interests: Bayesian methodology, network science, categorical data, latent variable models, criminology, and demography. Focus on statistical models for complex data, including criminal networks and cause-of-death dependencies. Grants and Awards: ERC Starting Grant (NEMESIS, 2024–2029), PRIN-MUR Grant (CARONTE), COPSS Emerging Leader Award, Leonardo da Vinci Medal, Mitchell Prize (twice), Laplace Prize. Editor for Biometrika , Journal of Computational and Graphical Statistics , and Journal of Multivariate Analysis . Teaching and Service: Courses on Machine Learning, Data Science, and Statistical Methods. Organized Stats under the Stars hackathons, Bocconi Data Science Challenge platform. Served on committees for ISBA, ASA, and others. Labs/Teams: Leads NEMESIS and CARONTE projects. Collaborates with interdisciplinary teams in quantitative criminology and demography.

• Network Science
• Bayesian Methods and Computation
• Categorical Data
• +۵ مورد دیگر

Carolina Vittoria Beccari is an Associate Professor in the Department of Mathematics at the University of Bologna, Italy, a position she has held since October 2021. Previously, she served as Senior Assistant Professor (2018-2021) and Junior Assistant Professor (2014-2018) at the same institution. Her academic career includes several postdoctoral research fellowships at the University of Bologna in Mathematics, Physics and Astronomy, and the CIRAM (Interdepartmental Research Center for Applied Mathematics). Her educational background includes: Ph.D. in Computational Mathematics from the University of Padova, Italy (2007) M.Sc. in Mathematics from the University of Bologna, Italy (2003) Dr. Beccari's research focuses on geometric modeling, numerical methods for curves and surfaces, interpolation, subdivision schemes, splines, and computer-aided design. She has made significant contributions to the theory and application of Chebyshevian splines, multi-degree B-splines, and rational geometric splines. Her work bridges theoretical mathematics with practical applications in engineering and design, particularly in developing numerical methods that can automatically generate smooth boundary surfaces from tessellations produced by topological optimization. Her research interests also extend to approximation theory and the integration of advanced mathematical techniques into CAD systems. Analysis of her recent publications reveals a clear progression from foundational work on subdivision schemes to more sophisticated applications in topological optimization and industrial design problems. Her work demonstrates increasing sophistication in handling multi-degree splines and Chebyshevian spaces, with growing emphasis on practical applications in manufacturing and engineering design processes. Dr. Beccari has secured multiple research grants including the Alma Idea research grant (2022/23) for mathematical methods to enhance structural optimization of environmentally friendly transport vehicles, the Eurostars Project NIIT4CAD (2010/12), and the University of Bologna Strategic Project IT4CAD (2007/09). She has also participated in numerous research projects funded by INdAM-GNCS on spline regression, data processing, and approximation methods. She teaches multiple courses at the University of Bologna including Introduction to Numerical Methods, Numerical Methods M, and Analisi Numerica e Modellazione Geometrica across various engineering and design programs. Her teaching spans both undergraduate and graduate levels with courses offered in both Italian and English, reflecting her international academic engagement.

• Geometric modeling
• Numerical methods for curves and surfaces
• Interpolation
• +۴ مورد دیگر

Giancarlo Sangalli is a Professor in the Department of Mathematics at the University of Pavia. His research focuses on Scientific Computing, particularly Numerical Methods and Applications, with a strong emphasis on Isogeometric Analysis (IGA) for solving Partial Differential Equations (PDEs). He leads the Scientific Computing group and contributes to interdisciplinary fields such as computational mechanics, biomedical engineering, and environmental modeling. His work integrates advanced numerical techniques, including high-order finite element methods, space-time formulations, and matrix-free solvers, to address challenges in computational efficiency and accuracy. Key areas of application include cardiac electrophysiology, wave propagation, and groundwater flow modeling. Sangalli has pioneered low-rank solvers, Tucker tensor-based methods, and immersed boundary techniques to enhance computational scalability. He actively publishes in top journals and conferences, with a focus on advancing IGA theory and its applications to real-world problems. His research also explores uncertainty quantification, Bayesian calibration, and nonlinear dynamics. Despite no explicitly listed awards, his extensive publication record reflects recognition in computational mathematics and engineering. Sangalli collaborates internationally and maintains a research website at https://mate.unipv.it/sangalli . His group's work is supported by projects in computational electromagnetics, structural mechanics, and fluid-structure interaction, demonstrating a commitment to bridging theoretical advancements with practical engineering solutions.

• Numerical Analysis
• Computational Mathematics
• Isogeometric Analysis
• +۳ مورد دیگر

Carlotta Giannelli is an Associate Professor at the University of Florence, within the Department of Mathematics and Computer Science (DIMAI) and the Florence Center for Data Science (FDS). She holds a Ph.D. in Computer Science and Applications (2010) and a Laurea in Computer Science (2006), both from the University of Florence. Her research focuses on computational geometry, isogeometric analysis, and spline approximation, with applications in numerical methods and geometric modeling. Education: Ph.D. in Computer Science and Applications (2010), University of Florence; Laurea in Computer Science (2006), University of Florence. Research Interests: Giannelli specializes in adaptive isogeometric methods, hierarchical splines, and rotation-minimizing frames. She has contributed to advancements in parameterization for computational domains, fault detection in scattered data, and applications in additive manufacturing. Her work bridges theoretical foundations with industrial applications, such as turbine blade design and structural biology analysis. Publications: Giannelli has authored numerous articles on topics like hierarchical B-splines, THB-splines, and Pythagorean-hodograph curves. Her recent work emphasizes adaptive refinement strategies and numerical integration techniques. Scientific Awards: Marie Curie Intra-European Fellowship (2011–2013), Marie Curie Actions (2013), Marie Curie Initial Training Network (2010). Teaching: Courses include Numerical Methods for Graphics (Master's level) and Computational Numerical Methods (Undergraduate/PhD levels). Grants: PI of RTD-UNIFI (2019–2020) and DREAMS (2014–2018), funded by MIUR. Co-organizer of conferences like SIAM GD 2023 and GMP 2020. Labs/Teams: Active in DIMAI and the Florence Center for Data Science, collaborating on projects like SUNRISE and parameterization for isogeometric analysis.

• Computational Geometry
• Isogeometric Analysis
• Spline Approximation
• +۵ مورد دیگر

Marco Vianello is a Full Professor of Numerical Analysis at the Department of Mathematics of the University of Padova, Italy. He has held this position since May 2017, following his tenure as Associate Professor (2001-2016) and Lecturer (1993-2000) at the same institution. Professor Vianello is Co-Editor-in-Chief of the Journal of Approximation Software (2024-) and was previously Managing Editor of Dolomites Research Notes on Approximation (2008-2022). He is the co-founder of the CAA: Padova-Verona Research Group on Constructive Approximation and Applications and an active member of the national research networks RITA (Rete ITaliana di Approssimazione) and SIMAI ANA&A Activity Group. Professor Vianello's research focuses on Multivariate Approximation Theory, with particular emphasis on Polynomial Interpolation, Numerical Quadrature and Cubature, Meshless Approximation, and Polynomial Optimization. His work includes the development of special point sets such as Padua Points, Approximate Fekete Points, Subperiodic Trigonometric Points, and CATCH (Caratheodory-Tchakaloff) Points. His research has significant applications in numerical methods for PDEs, computational mechanics, and scientific computing. His research has been recognized with the Optimization Letters Best Paper Award (2020), and his work has accumulated approximately 3,700 citations on Google Scholar. His algorithms have been implemented in several major software packages including ZEMAX OpticStudio, CP2K for molecular dynamics, and the Chebfun package. Optimization Letters Best Paper Award (2020) for 'Quadrature Based Polynomial Optimization' Approximately 3,700 citations on Google Scholar Approximately 1,200 citations by about 700 authors on MathSciNet Implementation of algorithms in ZEMAX OpticStudio, CP2K, Chebfun, and other scientific software Professor Vianello has advised 3 Ph.D. students to completion and approximately 60 B.Sc. and Master's dissertations. As a research coordinator from 2003-2025, he has secured approximately 150 kEuros in funding, supporting an average of 5 researchers per year. He has served on numerous hiring and evaluation committees, including the ASN (Italian National Scientific Habilitation) Committee in Numerical Analysis (2024-26) and hiring committees for professorships at Padova and Calabria Universities. His research group, the CAA: Padova-Verona Research Group on Constructive Approximation and Applications, maintains an active international collaboration network with researchers from institutions including Lawrence Livermore National Laboratory, Jagellonian University, University of Calgary/Verona, University of Toulouse, Colorado School of Mines, ANU Canberra, Indiana University, and several others across Europe, North America, and Asia.

• Numerical Analysis
• Multivariate Approximation Theory
• Polynomial Interpolation
• +۵ مورد دیگر

Lucia Romani is a Full Professor in Numerical Analysis at the Department of Mathematics, University of Bologna. She holds a PhD from the University of Padua (2004) and a Master's Degree in Mathematics (summa cum laude) from the University of Bologna (2000). Her research focuses on geometric modeling, approximation theory, numerical linear algebra, and applications in computer-aided design and image processing. She has authored over 80 scientific publications and serves on editorial boards of journals like Computer-Aided Design and Computer Aided Geometric Design . She actively participates in SIAM and the Solid Modeling Association (SMA), holding leadership roles such as Vice Chair of the SIAM Activity Group on Geometric Design (2023-2024) and Program Co-Chair of SPM 2025. Her work includes organizing international conferences and supervising numerous theses across PhD, Master's, and Bachelor's levels. Her professional journey includes roles at the University of Milan-Bicocca (2007-2022) and postdoctoral fellowships at the University of Bologna (2003-2007) and the University of Cambridge (2002). She has conducted research visits at institutions like the University of Cambridge, EPFL, and ICTP Havana. She has also served on evaluation committees for doctoral theses and research projects in Italy and abroad. Research interests span subdivision schemes, Pythagorean Hodograph curves, and spline-based interpolation. Her recent work includes advancements in algebraic characterizations of curves, non-stationary subdivision algorithms, and applications in biomedical imaging and computer graphics.

• Numerical Analysis
• Geometric Modeling
• Approximation Theory
• +۳ مورد دیگر