جست‌وجوی استاد و پژوهشگر

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

Gian Paolo Leonardi is a Full Professor in the Department of Mathematics at the University of Trento. His research focuses on geometric analysis, calculus of variations, partial differential equations, and their applications in mathematical physics and optimization. He has organized several international conferences, including the 'One-Day Workshop on Applied Mathematics' and the 'National Conference on Calculus of Variations'. His work spans topics such as isoperimetric inequalities, free boundary problems, and geometric measure theory. Notable contributions include studies on Wulff crystals in materials science, quantitative Faber-Krahn inequalities, and the prescribed mean curvature equation. Recently, he has also explored applications of geometric analysis in deep learning theory, proposing novel complexity measures for neural networks. Leonardi has collaborated with institutions like ETH Zurich, the University of Jyväskylä, and the University of Padua. His research often bridges pure mathematics and applied problems, with a focus on variational principles and geometric regularity. Despite extensive contributions, no specific awards or grants are explicitly listed in the provided materials.

Andrea Braidesمشاهده پروفایل

استاد

• Calculus of Variations
• Gamma-convergence
• Homogenization
• +۷ مورد دیگر

Andrea Braides is a Full Professor of Mathematical Analysis at the University of Rome Tor Vergata. He holds a dual affiliation with SISSA, Trieste. His research focuses on Calculus of Variations, Homogenization, and Discrete Systems, with applications to materials science and fracture mechanics. He has authored influential books like Gamma-convergence for Beginners and contributed to over 200 publications. His work bridges discrete and continuous models, addressing problems in phase transitions, lattice systems, and geometric measure theory. Affiliations: University of Rome Tor Vergata (Department of Mathematics), SISSA, Trieste. Education: Laurea in Mathematics (University of Pisa, 1983), PhD in Mathematics under Ennio De Giorgi at Scuola Normale Superiore. Research Interests: Braides' work emphasizes variational methods, Γ-convergence, and homogenization. He explores energy relaxation in discrete systems, phase transitions in Ising models, and microstructure analysis in materials. His recent studies include long-range interactions, anti-phase boundaries, and stochastic homogenization. Publications: His 150+ articles span topics like non-local energies, discrete-to-continuum limits, and ferromagnetic systems. Notable recent work includes studies on modulated phases in Ising systems (2025) and closure theorems for Γ-convergence (2024). Awards: Tullio Levi Civita Prize (2015), Timoshenko Fellowship (2004), Invited Speaker at ICM 2014. Advising & Leadership: Supervised 11 PhD theses, including those by R. Alicandro and M. Cicalese. Organized major conferences like the School on Multiple-scale Problems (2001) and the EMS Summer School (2018). Served on editorial boards of Archive for Rational Mechanics and Analysis and Networks and Heterogeneous Media . Labs/Teams: Coordinates research groups on variational problems, homogenization, and discrete systems at the University of Rome Tor Vergata and SISSA. Collaborates internationally, including with Oxford and TU Munich on multiscale phenomena.

Davide Barilariمشاهده پروفایل

استاد

• Sub-Riemannian Geometry
• Curvature
• Geometric Control Theory
• +۴ مورد دیگر

Davide Barilari is a Full Professor at the Department of Mathematics "Tullio Levi-Civita" of the University of Padua. His research focuses on Sub-Riemannian Geometry, Curvature, Geometric Control Theory, Hypoelliptic PDEs, and Optimal Transport. He has contributed to curvature analysis, geometric measure theory, and spectral theory in non-Euclidean settings. Research Highlights: Unified synthetic curvature bounds for Riemannian/sub-Riemannian structures, Steiner formulae in 3D contact manifolds, stochastic processes on sub-Riemannian surfaces He serves as Associate Editor for ESAIM: Control, Optimisation and Calculus of Variations and Journal of Dynamical and Control Systems . Recent grants include STARS@UNIPD (2021) and PRIN 2022 as project coordinator. Organized Conferences: Dispersion and Geometry in Padova (2024), PaPa sub-Riemannian seminars, Hypoelliptic Operators in Geometry (2023), Final Conference of ANR Project SRGI (2020)

Margherita Cigolaمشاهده پروفایل

دانشیار

• Decision Theory
• Mathematical Optimization
• Probability and Stochastic Processes
• +۳ مورد دیگر

Margherita Cigola is an Associate Professor of Mathematics in the Decision Sciences Department at Bocconi University, Milan. She specializes in mathematical models for decision-making in deterministic and stochastic frameworks, with applications in economics, finance, and statistics. Current Course Director for Applied Mathematics (30063) and (30449) Her research focuses on decision theory, optimization, probability, and utility modeling. She has collaborated extensively with scholars like Peccati, Castagnoli, and Beccacece across fields such as financial mathematics, risk management, and intertemporal choice. Over a 25-year period (1989–2013), her publications spanned financial calculus, static and dynamic optimization, risk discounting, and stochastic decision theory. These works emphasize mathematical rigor in applied contexts like corporate finance and economic modeling. She has taught foundational mathematics courses for economics, finance, and statistics programs, emphasizing probability, optimization, and dynamical systems as critical tools for advanced model application.

• Optimal Control
• Partial Differential Equations
• Mean Field Games
• +۶ مورد دیگر

Associate Professor at the University of Pavia's Department of Economics and Management, specializing in optimal control, partial differential equations, and mean field games with applications to economics and finance. Holds an Italian qualification (ASN) for associate professorship and a French qualification (maître de conférences). Research focuses on dynamic optimization, stochastic systems, and economic modeling of human capital, environmental quality, and pandemic impacts. Active in teaching mathematics for economics and optimization at undergraduate and graduate levels. Education: PhD in Mathematics from University of Padua (2015), postdocs at University of Graz (Austria) and University of Padua. Extensive visiting collaborations in France, Chile, and Brazil. Research Highlights: Pioneering work on mean field games modeling spatial interactions in human capital dynamics and environmental quality regulation. Contributions to sparse optimization, inverse problems in fracture mechanics, and large deviations in stochastic volatility models. Recent Publications Trends: Focus on infinite-dimensional mean field games (e.g., Hilbert spaces), pandemic economics, and environmental policy modeling. Over 15 peer-reviewed articles spanning optimal control, PDEs, and economic applications. Grants & Leadership: Coordinator of Italian GNAMPA projects on MFGs and environmental models. Organized conferences including AMASES 2022 and special sessions at international optimal control conferences. Referee for top journals like SIAM J. Control Optim. and J. Mathematical Economics. Teaching: Courses include 'Mathematics for Management,' 'General Mathematics,' and PhD-level 'Static and Dynamic Optimization.' Oversees tutoring programs and international collaborations via ERASMUS+.

• Stochastic Processes
• Statistical Inference
• Applied Mathematics
• +۳ مورد دیگر

Matteo Framba is a Lecturer at the Department of Industrial Engineering, University of Trento. He specializes in teaching and research related to mathematical methods in engineering, with a focus on stochastic systems and statistical inference. His recent work addresses quasi-reaction systems through advanced modeling techniques. His teaching responsibilities include tutoring in core engineering mathematics courses such as Analisi e geometria , where he focuses on linear algebra, analytical geometry, and their engineering applications. He collaborates with senior faculty members like Stefano Borghini and Gian Paolo Leonardi in these courses. Research interests revolve around stochastic processes, nonlinear dynamics, and their applications in systems biology and engineering. Recent publications explore statistical inference methods for quasi-reaction systems using mean-field approximations and latent event models. While no scientific awards are listed, his work contributes to advancing computational methodologies in applied mathematics. Matteo currently holds no listed grants or advisory roles, though his teaching and research activities are integral to the department’s academic programs.

Salvatore Faillaمشاهده پروفایل

استاد

• Inorganic Chemistry
• Organic Synthesis
• Organometallic Chemistry
• +۴ مورد دیگر

Salvatore Failla is a Full Professor of Chemical Foundations of Technologies (CHIM/07) at the University of Catania, Italy. He has held academic positions since 1985, including roles as a researcher, associate professor at La Sapienza University of Rome, and full professor at his current institution. His teaching spans courses in chemistry for engineering students, sustainable chemistry, and environmental applications. Research Focus: His work centers on the synthesis of organic and organometallic compounds for sensors, molecular recognition, and green chemistry. Key areas include Zn(II) Schiff-base complexes, supramolecular aggregation, and eco-friendly flame retardants. He has collaborated internationally at UCSD, University College Dublin, and institutions in Germany. Awards & Leadership: He received the 1985 Guido Donegani scholarship and 1986 Operosità Scientifica award. He leads roles in AICIng (President-elect, 2014-2018) and the Italian Chemical Society, contributing to national academic policy. Post-graduate scholarship of the Guido Donegani Foundation (1985) Operosità Scientifica award (1986) Award for outstanding scientific and educational merits, AICIng (2023) Publications: Over 100 ISI articles and a 2016 textbook on General and Inorganic Chemistry. Recent work explores metal complexes' structural properties, self-assembly, and applications in sensing and nanomaterials.

• Approximation Theory
• Numerical Analysis
• Machine Learning
• +۱۲ مورد دیگر

Emma Perracchione is an Associate Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at Politecnico di Torino, where she conducts research at the intersection of approximation theory, machine learning, and scientific computing. Her work focuses on kernel-based methods, inverse problems, and applications in space weather and solar physics. She is actively involved in teaching and research leadership, including PhD supervision and national projects. PhD in Mathematics, University of Turin (2017, cum laude) M.Sc. and B.Sc. in Mathematics, University of Turin (2013, 2011) Her research interests center on approximation theory and its applications, particularly greedy methods and two-layered kernel machines used for feature reduction in geomagnetic storm forecasting and optimal sampling for solar nanosatellites. These efforts contribute significantly to advancements in inverse problems and scientific computing . Her expertise spans machine learning , imaging , and data-driven modeling , with applications in climate action and space weather. The most recent publications highlight a strong trend in developing and analyzing variably scaled kernels , feature selection via greedy algorithms, and machine learning applications in solar and astrophysical contexts. These works integrate numerical analysis with real-world data from solar wind and imaging instruments, demonstrating a blend of theoretical rigor and practical relevance. Scientific awards received include: GNCS Young Researchers Funding (2020) GNCS Young Researchers Funding (2016) "Luciana Picco Botta" Study Award (2015) COST Short Term Scientific Mission (STSM) grant (2015) Emma Perracchione supervises PhD student Matteo Trombini in the Mathematical Sciences program (40th cycle, 2025–ongoing) and leads the PRIN-funded project GOSSIP – Greedy Optimal Sampling for Solar Inverse Problems (2025–2027). She has taught various courses including Linear Algebra and Geometry , Numerical Methods and Scientific Computing , and advanced topics on Kernels for Machine Learning in aerospace, automotive, and computer science engineering programs. She is a member of the Space Weather Italian Community (SWICo) and the National Scientific Computing Group (GNCS-INdAM) , and serves as Guest Editor for Dolomites Research Notes on Approximation . She has also participated in organizing major conferences such as DWCAA24 and GIMC-SIMAI Young.

• Calculus of Variations
• Partial Differential Equations
• Shape Optimization
• +۱۱ مورد دیگر

Paolo Tilli is a Full Professor in the Department of Mathematical Sciences "G. L. Lagrange" (DISMA) at Politecnico di Torino, Italy. He is actively involved in research, teaching, and doctoral supervision, with a strong presence in mathematical analysis and its applications. His research focuses on calculus of variations , partial differential equations , shape optimization , and phase space analysis with applications to quantum mechanics. He is a member of the Analysis and Quantum Theory research group at DISMA, and his work spans theoretical analysis of singular models, spectral theory, and nonlinear dynamics on networks and metric graphs. The recent publications of Paolo Tilli reveal a consistent and high-impact research trajectory in nonlinear PDEs , time-frequency analysis , and quantum graphs . His work frequently appears in top journals such as Inventiones Mathematicae and Advances in Mathematics , with a focus on Faber-Krahn inequalities, localization operators, and ground states in nonlinear Schrödinger equations. These contributions reflect deep analytical techniques and interdisciplinary relevance, particularly in mathematical physics and signal processing. He has supervised PhD students including Federico Riccardi and has been a long-standing member of doctoral college committees for the PhD programs in Mathematical Sciences at Politecnico di Torino and the University of Turin. His teaching includes core courses such as Metodi Variazionali e Applicazioni and Analisi Matematica II across various engineering and mathematics programs. His research groups include: Analysis and Quantum Theory Group (DISMA)

Filippo Bergamascoمشاهده پروفایل

دانشیار

• Computer Vision
• Oceanography
• Image Processing
• +۳ مورد دیگر

Filippo Bergamasco is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He is a member of the Scientific Committee of the Center for Studies on Port Economics and Management (DAIS). His work bridges computer vision, environmental monitoring, and oceanography, with a focus on developing advanced imaging techniques for ocean wave analysis and stereo reconstruction. He leads projects like the WASS pipeline, an open-source tool for 3D stereo reconstruction of ocean waves, and collaborates on studies involving rogue wave dynamics, low-cost sensors, and Arctic sea-state analysis. His research leverages machine learning, deep learning, and real-time systems to address challenges in environmental and marine sciences. Research interests include computer vision applications in oceanography, stereo imaging systems, wave dynamics modeling, and environmental monitoring technologies. He has contributed to over 80 peer-reviewed publications, with recent works focusing on real-time wave tracking, 3D reconstruction, and the integration of physics-driven models with neural networks. His expertise spans interdisciplinary collaborations, including projects on fish oil's impact on wind waves and the development of robust camera calibration methods. He actively publishes in top journals like IEEE Transactions on Image Processing, Ocean Modelling, and Physical Review Letters, and engages in international conferences such as ECCV and ICPRAM.

Flavio SARTORETTOمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Science
• Medical Signal Processing
• +۴ مورد دیگر

Flavio SARTORETTO is an Associate Professor in Scientific Computing at Ca' Foscari University of Venice. He holds a Mathematics degree from the University of Padua and has held academic positions at University of Padua (1982-1992) and Sapienza University of Rome (1992-1993) before joining Ca' Foscari in 1993. His research focuses on numerical analysis, computational methods, and interdisciplinary applications including environmental modeling, cognitive processes, and assistive technologies. Key research areas include numerical solutions of PDEs, meshless methods, EEG signal analysis, and e-learning tools for impaired individuals. He has participated in major research projects such as EC Network (1992-1995), PRIN initiatives (1997-2010), and contributed to software development for geomechanical models and air quality systems. His work spans computational fluid dynamics, robotics applications, and cognitive studies. Recent publications highlight advancements in mesh refinement strategies, robotic assistive devices, and spatial cognition research. He has reviewed for prestigious journals and served in academic committees for state examinations and international conferences. He maintains active involvement in academic service, including roles in evaluation committees and contributions to professional societies like SIAM and CICAP.

Sara Brunettiمشاهده پروفایل

دانشیار

• Discrete Tomography
• Computational Geometry
• Bioinformatics
• +۷ مورد دیگر

Sara Brunetti is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. She holds a PhD in Computer Science from the University of Florence (2001) and has been with the University of Siena since 2007, initially as an Assistant Professor before being promoted in 2022. Her academic work spans research, teaching, and international leadership in discrete computational methods. Graduate Degree in Mathematics, University of Florence, 1997 PhD in Computer and Automation Engineering, University of Florence, 2001 Her research focuses on the design of efficient algorithms, particularly in Discrete Tomography, Computational Geometry, Bioinformatics, and Digital Image Analysis . She investigates computational complexity, uniqueness in reconstruction problems, shape descriptors, and majority-rule protocols in distributed systems. Her work bridges theoretical computer science with applications in imaging and molecular systems. Recent publications show a strong trend in discrete geometry and mathematical morphology , with applications in image reconstruction, molecular modeling, and social network analysis. Her interdisciplinary work appears in mathematics, computer science, and web science venues, reflecting a broad impact across algorithmic disciplines. Sara Brunetti holds leadership roles in the international research community, notably as Co-Chair of Technical Committee-18 on Discrete Geometry and Mathematical Morphology of the International Association for Pattern Recognition (IAPR) from 2022 to 2024. She has been actively involved in research projects funded by MIUR, the University of Florence and Siena (PAR scheme), and the COST Action MP1207. She collaborates internationally with institutions including Technische Universität München, University of Szeged, LIMOS (Clermont Auvergne), and Université Louis Pasteur Strasbourg. While no formal list of advisees is provided, she supervises PhD theses and has co-edited special issues in her field. She is engaged in teaching, offering courses such as Foundations of Programming and Graph Theory at both undergraduate and graduate levels.

• Cognitive Neuroscience
• Spatial Cognition
• Conceptual Processing
• +۶ مورد دیگر

Roberto Bottini is a Full Professor at the Department of Psychology and Cognitive Science, University of Trento. His research spans cognitive neuroscience, focusing on conceptual processing, memory, spatial cognition, and the neural mechanisms of blindness. PhD in Anthropology and Epistemology of Complexity, University of Bergamo Postdoctoral positions: Max Planck Institute for Psycholinguistics, New School for Social Research, University of Milano Bicocca, CIMeC Trento His work explores how spatial navigation systems are repurposed for conceptual organization, using fMRI, MEG, and behavioral methods. Key projects include studying grid-cell coding in abstract thought and plasticity in blind individuals. Recent publications highlight neural entrainment in reading, altered spatial coding in blindness, and eye movement patterns in conceptual search. His research has been funded by prestigious grants including ERC Starting and Consolidator awards. 2024: BIAL Foundation Grant 2023: ERC Consolidator Grant 2018: ERC Starting Grant Institutional roles include Delegate for Neuroimaging Facilities (2024–Present) and leadership in academic committees at CIMeC.

Gianmarco Cherchiمشاهده پروفایل

استادیار

• Computer Graphics
• Geometry Processing
• Surface Mesh Generation
• +۱۲ مورد دیگر

Gianmarco Cherchi is a Tenure-Track Assistant Professor and Computer Science Researcher in the Department of Mathematics and Computer Science at the University of Cagliari, Italy, where he also completed his PhD. He teaches courses in Data Visualization and Web Programming at the undergraduate level. His research lies at the intersection of Computer Graphics and Geometry Processing, with a strong focus on surface and volumetric mesh generation, optimization, digital fabrication, and polycube-based modeling. His work combines algorithmic innovation with practical applications in fabrication, visualization, and interactive systems. The recent publications highlight a consistent trend in advanced hexahedral meshing techniques (e.g., HexBox, VOLMAP), robust geometric computation (e.g., mesh booleans), and interactive tools (e.g., ProtoSketchAR, Py3DViewer). His research spans theoretical algorithm development, benchmark creation, and applied systems for VR/AR and simulation. His scientific accolades include the Young Investigator Award 2024 from the Shape Modeling International Organization, and prior Best Thesis Awards from the Eurographics Italy Association for both his M.Sc. and Ph.D. work. Cherchi actively collaborates with researchers such as Marco Livesu, Riccardo Scateni, and others, contributing to major surveys and state-of-the-art methods in hexahedral meshing. His work is supported by publications in top venues like ACM Transactions on Graphics (SIGGRAPH), Computer Graphics Forum (Eurographics), and IEEE VR. He has also developed practical software tools like Py3DViewer for geometry processing prototyping. He leads research in digital fabrication pipelines, as evidenced by publications on polycube decomposition for manufacturing and automated flat pattern generation. His lab work involves developing interactive and robust systems for 3D modeling and analysis.

• Numerical Analysis
• Mathematics
• Computer Engineering
• +۳ مورد دیگر

Cristina Campi is an Associate Professor at the Department of Mathematics (DIMA) of the University of Genoa. Her academic work focuses on numerical analysis and mathematical applications in biomedical contexts, particularly in medical imaging and data processing for radiology techniques. In her teaching role, she delivers courses such as Geometry for Computer Engineering students, Mathematical Analysis for Physics and Computer Science, and advanced courses like Numerical Methods for Linear Algebra and Statistical Methods in Biomedicine . She is also involved in teaching inferential statistics and mathematical data processing for multiple degree programs. Her research interests bridge mathematics, computer science, and medical imaging, emphasizing practical applications of theoretical concepts in real-world contexts. Office hours are available by appointment, coordinated through lessons or email communication.