جست‌وجوی استاد و پژوهشگر

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

Luca Esposito is an Associate Professor at the University of Salerno, specializing in advanced mathematical analysis with a focus on calculus of variations, partial differential equations, and geometric analysis. His research explores topics such as quasiconvex energies, regularity theory, optimal design problems, and free boundary phenomena. He has contributed to groundbreaking work on Poincaré-Sobolev inequalities and spectral geometry, often collaborating with leading researchers in the field. Esposito has presented his findings at workshops like the 2016 'Workshop on Calculus of Variations and Nonlinear PDEs.' His work bridges theoretical mathematics with applications in material science and optimization, addressing challenges in anisotropic materials and nonlinear elliptic systems. Despite his extensive publication record, no awards or grants are explicitly mentioned in the provided text.

Aurélia FRAYSSEمشاهده پروفایل

دانشیار

• Signal Processing
• Image Reconstruction
• Inverse Problems
• +۳ مورد دیگر

Aurélia FRAYSSE is an Associate Professor at CentraleSupélec, affiliated with the Laboratoire des Signaux et Systèmes (L2S). Her research focuses on inverse problems, signal and image processing, with applications in electromagnetics, astrophysics, and computational imaging. She earned her HDR (Habilitation) in 2017 on methodological contributions using sparsity for inverse problems, and her PhD in 2005 from Université Paris XII Val de Marne, specializing in multifractal analysis. Her work emphasizes Bayesian methods, sparse representations, and optimization algorithms in challenging imaging scenarios. Her research areas include variational Bayesian approaches for image reconstruction, sparse coding techniques, and applications in gravitational wave detection, electromagnetic imaging, and multispectral data processing. She has collaborated on projects involving wavelet-based methods, low-rank approximations, and machine learning for inverse problems. Key contributions include advancements in contrast source inversion methods for nonlinear electromagnetic imaging, efficient algorithms for sparse gradient priors, and the development of small-scale networks for seismic pattern classification. Her work bridges theoretical foundations (e.g., minimax theory, Sobolev space regularity) with practical applications in engineering and astrophysics. Dr. FRAYSSE has published extensively in IEEE journals and conferences, including Transactions on Antennas and Propagation, Signal Processing, and European Signal Processing Conferences. Her research also extends to the energy, industry, and health domains through transversal axes at L2S. She is actively involved in the lab’s initiatives for the future of industry and sustainable energy solutions.

Filippo Santambrogioمشاهده پروفایل

استاد

• Optimal Transport
• Calculus of Variations
• Partial Differential Equations
• +۴ مورد دیگر

Filippo Santambrogio is a Full Professor at Université Claude Bernard - Lyon 1, affiliated with the Institut Camille Jordan. His research focuses on optimal transport theory, calculus of variations, partial differential equations, and gradient flows. He has authored influential books such as *Optimal Transport for Applied Mathematicians* and contributed to foundational work on the JKO scheme and Mean Field Games. Santambrogio has been awarded an ERC Advanced Grant for his project on the JKO scheme and collaborates with institutions like Huawei's Lagrange Center. He actively organizes workshops and lectures internationally, including a 2023 LMS mini-course. His recent work explores applications in crowd dynamics, congestion models, and numerical methods for optimal transport. Notable awards include the ERC Advanced Grant (2023). His teaching includes courses on variational methods and optimal transport, and he advises students like Annette Dumas.

• Calculus of Variations
• Partial Differential Equations
• Material Science
• +۳ مورد دیگر

Emilio Acerbi is a Full Professor at the Department of Mathematics, University of Parma. His research focuses on the Calculus of Variations, Partial Differential Equations, and their applications to Material Science and Geometric Analysis. He has organized conferences such as the 2018 'Recent advances in the Calculus of Variations and PDEs' and spoken at events like the 2024 'Frontiers of the Calculus of Variations.' Key research themes include nonlocal sharp interface models, curvature-dependent energies, and stability analysis in materials. His work bridges mathematical rigor with physical phenomena, addressing problems in phase transitions, pattern formation, and geometric flows. Recent contributions explore bifurcation phenomena in interface dynamics and lamellar configurations in reaction-diffusion systems. Awarded grants and fellowships are not explicitly listed, but his extensive publication record reflects sustained academic impact. He maintains an active role in the academic community through organizing workshops and delivering keynote lectures.

Giovanna Cittiمشاهده پروفایل

استاد

• Sub-Riemannian Geometry
• Partial Differential Equations
• Neurogeometry
• +۳ مورد دیگر

Giovanna Citti is a Full Professor at the Department of Mathematics, University of Bologna. Her research focuses on sub-Riemannian geometry, partial differential equations (PDEs), and neurogeometry, with applications to visual perception and image processing. She actively participates in academic conferences and organizes workshops on geometric analysis and sub-Riemannian geometry. Her teaching includes courses in mathematical analysis, applied mathematics, and mathematical methods for biomedical sciences. She supervises international and industrial projects, collaborating with institutions like INAIL and international universities. Key research contributions include studies on sub-Riemannian geometric flows, regularity theory for PDEs, and mathematical models of visual cortex functions. Her work bridges pure mathematics and applied fields, with publications in journals like Journal of Mathematical Imaging and Vision and Calculus of Variations and Partial Differential Equations .

• Geometric Analysis
• Sub-Riemannian Geometry
• Partial Differential Equations
• +۷ مورد دیگر

Bruno Franchi is a Full Professor in the Department of Mathematics at the University of Bologna. His research focuses on geometric analysis, sub-Riemannian geometry, partial differential equations, and calculus of variations. He has organized numerous international conferences, including the 'First Johns Hopkins University - University of Bologna Conference on Noncommutativity' (2024) and the '12th School on Analysis and Geometry in Metric Spaces' (2022). His work bridges pure mathematics with applications in mathematical physics and biology, particularly in modeling Alzheimer's disease via homogenization techniques. Key research interests include Γ-convergence, intrinsic Lipschitz graphs in Carnot groups, and differential forms in non-Euclidean settings. His articles analyze geometric measure theory in Heisenberg groups, wave equations in anisotropic media, and functional inequalities in sub-Riemannian manifolds. Collaborations with co-authors like E. Cinti, A. Baldi, and R. Serapioni have advanced understanding of minimal surfaces, perimeter theory, and variational problems in metric spaces. Franchi has actively contributed to academic events such as the 'Nonlinear PDEs and Applications' conference (2022) and the 'Dispersive and Subelliptic PDEs' workshop (2020). His work emphasizes the interplay between geometric structures and analytical methods in complex spaces, with implications for both theoretical and applied mathematics.

• Optimal Transport
• Metric Measure Spaces
• Partial Differential Equations
• +۴ مورد دیگر

Luca Tamanini is a Tenure-Track Assistant Professor (RTDb) at Università Cattolica del Sacro Cuore in Brescia, Italy. He holds the Italian Habilitation (Abilitazione Scientifica Nazionale) as Associate Professor in sector 01/A3 (Mathematical Analysis, Probability and Statistics). His research focuses on optimal transport theory, metric measure spaces (especially RCD spaces), and their applications to PDEs, stochastic analysis, and functional inequalities. Research interests include: Entropic optimal transport and Sinkhorn algorithms Geometric and analytic properties of RCD spaces Hamilton-Jacobi equations in non-smooth settings Functional inequalities and Markov semigroups Large deviations and stochastic processes His recent work explores stability of entropic plans, Hessian estimates for Sinkhorn potentials, and geometric interpretations of optimal transport divergences. Key contributions include advancements in semiconcavity theory and applications to algorithm convergence rates. Awards: Italian Habilitation for Associate Professorship (2023). Future activities include research visits to Université Paris Saclay (July 2025) and Universität Bonn (July 2025), and participation in specialized conferences.

• Geometric Measure Theory
• Calculus of Variations
• Differential Geometry
• +۳ مورد دیگر

Silvano Delladio is an Associate Professor at the Department of Mathematics, Università di Trento. His research focuses on geometric measure theory, calculus of variations, and differential geometry, with a particular emphasis on rectifiability, real analysis, and integral curvature bounds. He has published extensively on topics such as rectifiability criteria for sets and graphs, properties of Lipschitz maps, and applications of geometric measure theory to variational problems. His work often addresses questions related to smoothness conditions, functional spaces, and curvature energy. Notable contributions include studies on C^2 and C^3 rectifiability, non-homogeneous blow-up analysis, and the properties of integral currents. Delladio has presented seminars on rectifiability topics and participated in workshops like the ERC-Workshop on Geometric Measure Theory and Analysis in Metric Spaces.

Patrik Knopfمشاهده پروفایل

مدرس

• Partial Differential Equations
• Mathematical Physics
• Optimal Control Theory
• +۳ مورد دیگر

Dr. Patrik Knopf is a Lecturer at the University of Regensburg, Faculty for Mathematics. He holds a Dr. rer. nat. habil. (Habilitation) from the University of Regensburg (2024) and a PhD (Dr. rer. nat.) from the University of Bayreuth (2017). His research focuses on partial differential equations, optimal control theory, and mathematical physics, with applications to materials science and fluid dynamics. Notable achievements include the 2024 Richard von Mises Prize from the GAMM. He has conducted research visits at the Illinois Institute of Technology (2019) and Fudan University (2025). Knopf leads a research team and oversees a DFG-funded doctoral position. His work spans topics such as Cahn-Hilliard equations with dynamic boundary conditions, phase-field methods, and plasma control via Particle-In-Cell methods. Education: Habilitation (2024): University of Regensburg PhD (2017): University of Bayreuth M.Sc. (2013), B.Sc. (2011): University of Bayreuth Awards: Richard von Mises Prize (2024) Grants: DFG grant for a doctoral student DAAD-funded visit for Dr. Sema Yayla (2024) Research Interests: Phase separation dynamics, optimal control of PDEs, fluid-structure interactions, and numerical methods for kinetic equations.

• Medical Imaging
• Image Restoration
• Machine Learning
• +۳ مورد دیگر

Elena Morotti is an Assistant Professor at the Department of Political and Social Sciences, University of Bologna since 2021. She holds a Master's Degree in Mathematics from Bologna and a PhD in Applied Mathematics from the University of Padova (2018). Previously, she was a research fellow at the Department of Computer Science and Engineering, Bologna. Her research focuses on algorithms for medical image restoration/reconstruction using regularized inverse problem formulations, variational tools, and neural networks. She also explored Virtual Reality technologies (2018–2020). She co-founded the Learning and Optimization for Imaging in Bologna (LOIBO) group and is affiliated with the Virtual and Augmented Reality Laboratory (VARLAB) and Computational Social Science Center (CssC). In 2022, she collaborated via the Academy of Excellence’s Networks, Information and Digital Society initiative with Luca Calatroni (I3S) and R.M. Dessi (CEPAM) on the Imag’In CNRS PRIME project, restoring medieval Alpine Arc chapels’ murals. She presented her work in a 2022 Forum Numerica seminar.

Yura Malitskyمشاهده پروفایل

پژوهشگر

• Convex Optimization
• Variational Inequalities
• Nonlinear Analysis
• +۵ مورد دیگر

Yura Malitsky is a postdoctoral researcher at Graz University of Technology's Institute of Computer Graphics and Vision, working under the supervision of Prof. Thomas Pock. He earned his Master's in Applied Mathematics from Kyiv National University in 2012 and completed his PhD in 2015 on projection methods for variational inequalities and composite optimization problems. Education: MS in Applied Mathematics (Kyiv National University, 2012), PhD in Optimization (2015) Affiliation: Graz University of Technology, Institute of Computer Graphics and Vision Academic Rank: Researcher His research focuses on convex optimization, variational inequalities, and nonlinear analysis, with applications to machine learning and signal processing. His work includes developing adaptive gradient methods, distributed optimization algorithms for ring networks, and novel approaches to stochastic variance reduction. Recent publications explore entropic mirror descent, Riemannian optimization, over-the-air computation for distributed systems, and improvements to primal-dual methods. He has contributed to advancements in resolvent splitting techniques and forward-reflected-backward methods for monotone operators. Malitsky's research bridges theoretical optimization frameworks with practical implementations in decentralized systems and high-dimensional learning problems. His work demonstrates significant technical contributions to algorithm design and convergence analysis.

• Optimization
• Statistics
• Data Science
• +۳ مورد دیگر

Tyler Maunu is an Assistant Professor of Mathematics at Brandeis University, affiliated with the Department of Mathematics and the Benjamin and Mae Volen National Center for Complex Systems. His research focuses on statistical methodologies, optimization algorithms, machine learning, and their applications to computer vision and data science. He holds a Ph.D. in Mathematics from the University of Minnesota-Twin Cities, alongside multiple advanced degrees from the same institution. Maunu's research advances robust subspace recovery and optimal transport, emphasizing scalable and privacy-aware techniques. His work bridges theoretical foundations (e.g., non-convex optimization landscapes) with practical applications in data recovery and generative modeling. Notable areas include Bures-Wasserstein geometry, stochastic gradient methods, and adversarial robustness in high-dimensional data analysis. His articles span topics like preconditioned Langevin Monte Carlo, optimal transport barycenters, and scalable graph matching algorithms. While no explicit awards are cited, his contributions reflect ongoing innovation in computational statistics and optimization. His affiliation with the Volen Center underscores interdisciplinary engagements in complex systems research.

Anna Triandafyllidouمشاهده پروفایل

استاد

• Migration Governance
• Migrant Integration
• Nationalism Studies
• +۳ مورد دیگر

Dr. Anna Triandafyllidou is a Professor and Canada Excellence Research Chair in Migration and Integration at Toronto Metropolitan University's Sociology Department. Her research focuses on migration governance, integration, nationalism, and cultural diversity. She leads over 30 projects addressing migrant agency, global migration drivers, and governance frameworks. Notable initiatives include the Migrant Integration in the Mid-21st Century program, exploring technological impacts on integration. She serves as Editor-in-Chief of Journal of Immigrant and Refugee Studies and chairs the IMISCOE Editorial Committee. Educated at Panteion University (BA) and the European University Institute (PhD), she has held visiting roles at the College of Europe (2002–2018). Her recent work examines digital nomadism, coerced return policies, and pandemic-driven nationalism. She advises on regularization programs in Canada, drawing insights from European precedents. Key contributions include Handbook of Migration and Globalisation (2024), analyzing migration’s intersection with globalization. Her research bridges theoretical inquiry with practical policy, emphasizing migrant agency and socio-technological transformation.

Florin ISAIAمشاهده پروفایل

دانشیار

• Nonlinear Analysis
• Partial Differential Equations
• Sobolev Spaces
• +۳ مورد دیگر

Florin ISAIA is an Associate Professor at the Department of Mathematics and Computer Science within the Faculty of Mathematics and Computer Science at the Technical University of Braşov. His research focuses on nonlinear analysis, elliptic partial differential equations, integral equations, and Sobolev spaces. He holds an office in Building P, Room PP11, and can be reached via email at florin.isaia@unitbv.ro . His academic work emphasizes theoretical contributions to functional analysis, particularly in the context of superposition operators between Sobolev spaces. Key research topics include the p-Laplacian equations, Faà di Bruno formulas in supercritical and subcritical cases, and generalized Pohožaev identities. He has also explored applications in thermoelasticity and nonlinear dynamical systems, such as the study of cylindrical tubes under torsion and hybrid oscillator models. Florin ISAIA's publications span reputable journals like Nonlinear Analysis , Houston Journal of Mathematics , and Advanced Nonlinear Studies . His work often bridges abstract mathematical analysis with applied problems in structural mechanics and control systems. Leveraging advanced analytical methods, his research addresses critical questions in operator continuity, nonexistence results for certain PDEs, and the interplay between thermal and mechanical stresses in composite materials. He maintains an active profile in the academic community, contributing to the theoretical foundations of nonlinear dynamics and functional spaces.

• Geometric Analysis
• Partial Differential Equations (PDEs)
• Optimal Transport
• +۴ مورد دیگر

Elia Bruè is a researcher at the Scuola Normale Superiore, specializing in geometric analysis, partial differential equations (PDEs), and optimal transport. His work bridges differential geometry, metric measure spaces, and fluid dynamics, with a focus on Ricci curvature, stability, and non-uniqueness in PDE solutions. He has contributed to resolving conjectures like the Milnor Conjecture and advancing understanding of Euler/Navier-Stokes equations. Education: Completed his Ph.D. in Mathematics at Scuola Normale Superiore (2020) with a thesis on 'Regularity of Lagrangian Flows over RCD*(K,N) Spaces.' Research Interests: Explores geometric structures in non-smooth spaces, fluid dynamics instabilities, and optimal transport applications. Key areas include RCD(K,N) spaces, Ricci curvature bounds, and transport equations with Sobolev velocity fields. Recent Work Trends: His 2023–2025 articles address topological stability in spaces with Ricci curvature bounds, non-uniqueness in fluid dynamics, and counterexamples to geometric conjectures. Collaborations with A. Naber, M. Colombo, and D. Semola highlight interdisciplinary research. Grants/Advising: No explicit grants listed, but his involvement in workshops (e.g., 'Perspectives in Geometric Analysis,' 'Boundary Analysis for Dispersive Fluids') indicates active participation in academic networks. No advisees listed. Labs/Teams: Engaged in research groups focused on geometric analysis and PDEs at Scuola Normale Superiore and international collaborations.