جست‌وجوی استاد و پژوهشگر

• Geometric Analysis
• Riemannian Geometry
• Geometric Flows
• +۵ مورد دیگر

Giuseppe Pipoli is an Associate Professor in Geometry at the Department of Engineering and Information Science and Mathematics, University of L'Aquila, Italy. His research focuses on Geometric Analysis and Riemannian Geometry, particularly geometric flows (e.g., mean curvature flow, inverse mean curvature flow), hypersurfaces with prescribed curvature, and the geometry of submanifolds in hyperbolic and symmetric spaces. He earned his Ph.D. in 2014 from Sapienza University of Rome under Carlo Sinestrari, with a thesis on the mean curvature flow of pinched submanifolds. His work explores curvature flows in non-Euclidean settings, including complex and quaternionic hyperbolic spaces, and their asymptotic behaviors. Key research trends include: analysis of translators in geometric flows, classification of isoparametric hypersurfaces in product spaces, and stability properties of minimal hypersurfaces. His studies often reveal how ambient space geometry influences flow dynamics and curvature behavior. His articles address advanced topics like inverse mean curvature flow in non-compact symmetric spaces, invariant translators in sub-Riemannian geometries (e.g., Heisenberg group), and cylindrical estimates in CROSS spaces. These contributions advance understanding of geometric evolution equations and their singularities. Pipoli has held postdoctoral positions at the University of L'Aquila and Institut Fourier, Grenoble. His research also intersects with Riemannian submersions and applications of curvature flow to geometric classification problems.

Achilles K. Tertikasمشاهده پروفایل

استاد

• Partial Differential Equations
• Functional Analysis
• Inequalities (Hardy, Sobolev)
• +۴ مورد دیگر

Achilles K. Tertikas is a Professor in the Department of Mathematics & Applied Mathematics at the University of Crete, where he has maintained an active teaching and research career spanning multiple decades. His professional activities are centered at the University Campus in Heraklion, Crete, where he maintains office E 306 and holds regular office hours on Tuesdays and Wednesdays. Professor Tertikas' research focuses on advanced mathematical analysis, particularly in the areas of partial differential equations, functional analysis, and various forms of inequalities including Hardy and Sobolev inequalities. His work demonstrates a consistent pattern of investigating optimal constants, boundary behaviors, and geometric properties in mathematical inequalities. Over his career, he has developed significant expertise in analyzing elliptic equations, spectral theory, and geometric aspects of functional inequalities. The trajectory of his publication record shows a sustained focus on improving and refining fundamental inequalities in mathematical analysis. His recent work (2023-2025) continues to push boundaries in understanding geometric Hardy inequalities on Heisenberg groups, Liouville properties for weighted anisotropic equations, and best constants for various inequality forms. A distinctive feature of his research is the consistent collaboration with leading mathematicians like Gerassimos Barbatis, Stathis Filippas, and Luisa Moschini across multiple publications. As an educator, Professor Tertikas has taught a comprehensive range of mathematics courses at the University of Crete including Plane and Space, Infinite Calculus, Partial Differential Equations, Analysis, Ordinary Differential Equations, Complex Analysis, and Set Theory across multiple academic years from 2010 through the upcoming 2024-2025 academic year. His teaching portfolio demonstrates expertise across both pure and applied mathematical disciplines, with particular emphasis on analysis and differential equations. Professor Tertikas maintains an active scholarly presence with ongoing research projects, recent publications, and current teaching responsibilities, indicating a vibrant and continuing academic career at the University of Crete.

Zoltán Baloghمشاهده پروفایل

استاد

• Geometric Analysis
• Sub-Riemannian Geometry
• Functional Analysis
• +۳ مورد دیگر

Prof. Zoltán Balogh is a Professor at the Mathematical Institute (MAI) of the University of Bern, affiliated with the Faculty of Science. He serves as Program Director for the BSc in Mathematics and is a member of the Institute Management. His research focuses on geometric analysis, sub-Riemannian geometry, functional inequalities, and their applications to differential geometry and optimal transport theory. His work often involves the Heisenberg group and Carnot groups, exploring topics like isoperimetric inequalities, Sobolev inequalities, and curvature effects in non-Euclidean spaces. Key research themes include geometric measure theory, analysis on metric spaces, and the interplay between functional inequalities and geometric structures. Recent studies address sharp inequalities in spaces with nonnegative Ricci curvature, optimal transport theory, and properties of sub-Finsler distances. His contributions bridge pure mathematics with applications in geometric modeling and theoretical physics. Prof. Balogh's work has advanced understanding of fractal geometry in Carnot groups, projection theorems, and the behavior of quasiconformal mappings in non-smooth settings. His research also touches on geometric interpolation inequalities, contact structures, and the interplay between curvature and functional analytic properties of spaces.

• Functional Analysis
• Mathematical Analysis
• General Topology
• +۵ مورد دیگر

Aníbal Fco Javier Molto Martínez is a Full Professor ( Catedrático de Universidad ) in the Department of Mathematical Analysis at the Universitat de València. He is a member of the DRAFBE research group, focusing on differentiability, renormings, and analytic functions on Banach spaces. He obtained his Ph.D. in 1979 from the Universitat de València with a thesis titled "Algunos problemas de teoría de la medida en espacios localmente convexos" (Some problems of measure theory in locally convex spaces), supervised by Dr. Manuel Valdivia Ureña. His research is centered in Functional Analysis and General Topology, with significant contributions to the geometry of Banach spaces, renorming theory, fragmentability, and the study of topological properties of function spaces like C p (X) and C(K). His recent publications (2020-2023) analyze the Grothendieck property, scatteredness, and the structure of subspaces in C p (X), while his earlier, highly-cited work (1990s-2000s) established fundamental results on locally uniformly rotund and weakly uniformly rotund renormings, Kadec and Krein-Milman properties, and the geometry of unit balls. His publications consistently fall within the broad disciplines of Functional Analysis and General Topology, exploring subfields such as Banach space geometry, renorming techniques, descriptive set theory, and the interplay between topology and analysis in function spaces. Aníbal Molto has collaborated extensively with leading mathematicians, including Stanimir L. Troyanski, José Orihuela, Manuel Valdivia Ureña, Jerzy Kąkol, and Wiesław Kubiś. His work is well-cited within the mathematical community, reflecting its impact on the field. He has supervised at least one Ph.D. student, J. F. Martínez. There is no mention of specific grants, awards, laboratories, or teams in the provided information.

• Geometric and probabilistic functional analysis
• Random matrices, random graphs, and random tensors
• Free probability and high dimensional phenomena
• +۱۰ مورد دیگر

Djalil CHAFAÏ is a University Professor of Mathematics at Université Paris-Dauphine - PSL, with dual affiliation at CEREMADE (Centre de Recherche en Mathématiques de la Décision) and DMA (Département de Mathématiques et Applications) at École normale supérieure (Paris) - PSL. He currently serves as Directeur des études du DMA (2021-2026) and Directeur scientifique du RNBM (2021-2025). His extensive research spans multiple areas of probability theory, mathematical physics, and applied mathematics. CHAFAÏ's research interests center around geometric and probabilistic functional analysis, random matrices, random graphs, free probability, and high-dimensional phenomena. His work connects mathematical theory with applications in biology, physics, and data science. He has made significant contributions to understanding cutoff phenomena in high-dimensional diffusions, Riesz energy problems, and Coulomb gases. His research often combines theoretical analysis with visual illustrations created using computational tools like Octave, Python, and Julia. Analysis of his recent publications reveals a strong focus on cutoff phenomena in various stochastic processes, equilibrium measures in potential theory, and the mathematical properties of random matrix ensembles. His work demonstrates a consistent pattern of bridging abstract mathematical concepts with concrete physical phenomena, particularly in statistical physics. The interdisciplinary nature of his research is evident in the diverse applications ranging from mathematical biology to data science. CHAFAÏ has successfully advised numerous doctoral students whose work continues to influence the field. His current doctoral students include Samuel Chan-ashing, Rémi Bonnin, and Kewei Pan, while his former students have gone on to positions at prestigious institutions worldwide. He is actively involved in the mathematical community through organizing conferences, seminars, and workshops, including the Matrices Et Graphes Aléatoires (MEGA) project and the Conviviality project funded by ANR.

Salvatore Angelo Maranoمشاهده پروفایل

استاد

• Mathematical Analysis
• Differential Equations
• Partial Differential Inclusions
• +۶ مورد دیگر

Salvatore Angelo Marano is a Full Professor of Mathematical Analysis at the University of Catania, affiliated with the Department of Mathematics and Computer Science since 2001. He graduated in Mathematics from the University of Catania in 1987 and has authored approximately 100 research papers in international mathematics journals. His research spans: Differential equations/inclusions and fixed point theory Critical point theory for non-smooth functions on convex sets Elliptic boundary value problems (Dirichlet, Neumann, Robin) p-Laplacian and (p,q)-Laplacian equations Fractional operators and Sobolev embeddings Variational-hemivariational inequalities Recent publications (2019-2025) focus on singular systems, fractional operators, quasilinear convection problems, and multi-solution phenomena in nonlinear PDEs. His work consistently employs variational methods, truncation techniques, and critical point theory. Awards include: Foundation 'Francesco Severi' Prize (1991) Gioenia Academy Young Researcher Prize (1989) He collaborates internationally with researchers in Poland, Portugal, France, Greece, USA, and Algeria, and serves on editorial boards of journals including Nonlinear Analysis: Real World Applications and Discussiones Mathematicae .

Annalisa Massaccesiمشاهده پروفایل

دانشیار

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

Annalisa Massaccesi is an Associate Professor at the Department of Mathematics 'Tullio Levi-Civita' , University of Padova. Her research focuses on Geometric Measure Theory, Calculus of Variations, and Partial Differential Equations. She has contributed to topics such as mass-minimizing currents, optimal transport, nonlocal diffusion models, and Carnot-Carathéodory spaces. Her work often bridges geometric analysis with advanced analytical techniques. Key areas include: Geometric structures of currents in sub-Riemannian settings Optimal transport problems with multi-material systems Regularity of solutions to PDEs in non-smooth contexts Her articles often explore theoretical frameworks for variational problems, with recent trends emphasizing Frobenius theorem applications and unrectifiability in non-involutive distributions (2025). She has organized conferences on Geometric Measure Theory and collaborates on interdisciplinary projects, including numerical calibration of Steiner trees and biological population dynamics. Education includes a PhD in Mathematical Analysis (2015) with a thesis on modeling dislocations via 1-currents. Active in seminars and workshops, she maintains academic engagement through events like the 'School in Geometric Measure Theory' (2025) and the 'Vito Volterra Meeting in Calculus of Variations' (2023).

Thomas Pockمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Mathematical Optimization
• +۷ مورد دیگر

Thomas Pock is a Professor of Computer Science at Graz University of Technology, holding the AIT Stiftungsprofessur for Mobile Computer Vision. He is affiliated with the Institute for Computer Graphics and Vision (ICG) within the Faculty of Computer Science and serves as a principal scientist at the Austrian Institute of Technology (AIT), Center for Vision, Automation & Control. He leads the Vision, Learning and Optimization (VLO) research group, which focuses on mathematical modeling and optimization in computer vision. His research interests lie at the intersection of computer vision, image processing, and mathematical optimization. Specifically, he develops mathematical models for computer vision and efficient convex and non-smooth optimization algorithms , particularly for mobile scenarios. His recent work increasingly integrates variational methods with deep learning, especially in solving inverse problems in imaging such as medical reconstruction and deblurring. The trends in his recent publications show a strong emphasis on deep learning for inverse problems , variational networks , and learned optimization . His group explores how to combine classical mathematical models with data-driven deep learning approaches to achieve stable, interpretable, and high-performance solutions in image reconstruction and processing. His scientific achievements have been recognized with several prestigious awards: START Prize, Austrian Science Fund (FWF), 2013 German Pattern Recognition Award, DAGM, 2013 ERC Starting Grant, European Research Council, 2014 Thomas Pock actively mentors students and leads a research group of 10 PhD students and 2 postdocs. He has secured significant research grants, including the ERC Starting Grant, which supports his foundational work. He is also engaged in scientific communication, giving invited talks at international venues such as SIAM and co-organizing the IMAGINE One World seminar series to foster global collaboration in imaging and inverse problems. He leads the Vision, Learning and Optimization (VLO) group at the Institute for Computer Graphics and Vision. The group develops mathematical models and efficient algorithms for computer vision and image processing, with a focus on mobile applications. The team includes multiple PhD students and postdoctoral researchers and has produced notable software and publications in top venues.

• Statistical Science
• Data Science
• Machine Learning
• +۷ مورد دیگر

Nick Whiteley is a Professor in the School of Mathematics at the University of Bristol and serves as Director of the Institute for Statistical Science. He also held a Heilbronn Chair in Data Science and previously directed the EPSRC Centre for Doctoral Training in Computational Statistics and Data Science. His research spans statistical science and data science with interdisciplinary applications. Education : Ph.D. (University of Cambridge, 2009), M.Eng. (University of Oxford, 2003) Whiteley's research focuses on sequential Monte Carlo methods , Bayesian inference , hidden Markov models , and nonlinear filtering . His work connects statistical theory with practical applications in epidemic modeling, graph representation, and temporal data analysis. His recent publications emphasize scalable algorithms for high-dimensional problems and theoretical foundations of approximation methods. Key article trends include epidemic modeling , dynamic network analysis , stochastic processes , and machine learning theory . Sub-fields span from computational statistics to geometric methods in AI. Whiteley has received prestigious recognition through the Heilbronn Chair and Brunel Research Fellowship.

Giovanni Albertiمشاهده پروفایل

استاد

• Real Analysis
• Geometric Measure Theory
• Partial Differential Equations
• +۴ مورد دیگر

Giovanni Alberti is a Full Professor of Mathematical Analysis at the Department of Mathematics, University of Pisa. His research focuses on Real Analysis, Geometric Measure Theory, Partial Differential Equations, and their applications to continuum mechanics, including capillarity, phase transitions, and pattern formation. He has contributed to topics such as singular measures, regularity theory, and variational models. He is involved in the 2022 PRIN project on Geometric Measure Theory, directed by Andrea Marchese. His work spans over 60 publications, including key papers on differential operators, fluid dynamics, and geometric structures. Notable projects include studies on quasistatic evolution of sessile drops and optimal reinforcing networks for elastic membranes. Alberti frequently organizes and speaks at international conferences, such as the 'Frontiers in Calculus of Variations' and 'Geometric Measure Theory in Trento'. His research also intersects with applications in material science and mathematical physics.

Phanuel Marianoمشاهده پروفایل

استادیار

• Probability Theory
• Stochastic Processes
• Geometric Analysis
• +۳ مورد دیگر

Phanuel Mariano is an Assistant Professor of Mathematics at Union College, focusing on probability, geometric analysis, and stochastic processes. His research employs probabilistic methods to solve analytical problems in geometric settings, including coupling techniques and spectral theory. Key areas include: Lyapunov exponent analysis for random matrix products Exit time bounds for diffusion processes Geometric inequalities for Dirichlet eigenvalues Central limit theorems with explicit variance Recent NSF-funded work addresses non-invertible matrix products and Pólya functionals. Publications feature in Transactions of the AMS, Annals of Probability, and Journal of Statistical Physics.

Ryan L. Acosta Babbمشاهده پروفایل

استاد آموزشی

• Harmonic Analysis
• Partial Differential Equations (PDE)
• Fourier Series Convergence
• +۳ مورد دیگر

Ryan L. Acosta Babb is a Teaching Fellow at the University of Warwick's Warwick Mathematics Institute, where he completed his PhD under Prof. James Robinson. His research focuses on harmonic analysis and PDEs, particularly L p convergence of Fourier series and eigenfunction expansions. In December 2025, he will start a Sverker Lerhed Fellowship at Stockholm University. He holds a BSc (2019) and MASt (2020) in Mathematics and Philosophy from Warwick, followed by a 4-year PhD (2024). His research explores truncation methods for multidimensional Fourier series, convergence behaviors in non-Euclidean domains, and spectral analysis under domain deformations. Notable contributions include triangular domain Fourier convergence results and convexity studies in normed spaces published in the American Mathematical Monthly . Acosta Babb organizes the Warwick Junior Analysis and Probability Seminar and has taught advanced courses like MA3B8 Complex Analysis and MA3H3 Set Theory. He has given invited talks at institutions including the Acoustics Research Institute (Vienna) and the Universidade de Santiago de Compostela.

• Analysis in Carnot groups
• Geometric inequalities
• Calculus of Variations
• +۳ مورد دیگر

Davide Vittone serves as Associate Professor in the Department of Mathematics "T. Levi-Civita" at the University of Padua, Italy. His institutional affiliation is well-documented across university directories with consistent contact information including office room 5AB8 and direct phone line 049 827 1338. Professor Vittone's research focuses on advanced geometric analysis within constrained mathematical spaces, specifically examining Analysis in Carnot groups, Geometric inequalities in the Calculus of Variations, Geometric Measure Theory, Minimal surfaces, and Subriemannian geodesics. His work investigates how classical geometric concepts behave in non-holonomic environments where traditional Euclidean methods don't apply, requiring innovative analytical approaches to address the unique challenges of these constrained geometries. The analysis of his 15 most recent publications reveals a consistent trajectory in sub-Riemannian geometric analysis, with increasing focus on the interplay between measure-theoretic properties and variational principles in Carnot groups. His work demonstrates sophisticated mathematical techniques applied to fundamental questions about minimal surfaces, isoperimetric inequalities, and regularity theory within these specialized geometric frameworks. While no specific awards are documented in the available materials, Professor Vittone maintains an active research program as evidenced by his consistent publication record in geometric analysis. His work contributes to advancing mathematical understanding in sub-Riemannian geometry, a field with growing importance in both pure mathematics and applied contexts. For prospective students, Professor Vittone offers supervision opportunities in geometric analysis, particularly for those with strong backgrounds in differential geometry and real analysis. His research direction suggests potential projects examining minimal surface theory in Carnot groups, geometric measure theory applications, or calculus of variations problems in constrained environments. Collaborators would find opportunities in extending geometric analysis techniques to new sub-Riemannian settings or exploring applications in control theory and mathematical physics.

• Operations Research
• Multi-Objective Optimization
• Transportation Networks
• +۳ مورد دیگر

Matthias Ehrgott is a Professor in the Department of Management Science at the Lancaster University Management School (LUMS). His research focuses on multi-objective optimization, operations research, transportation systems, and healthcare logistics. He leads the OptiWaSP project (2022–2025), which designs efficient walking school bus routes integrating optimization and instance generation. He is affiliated with the Centre for Transport & Logistics (CENTRAL), STOR-i Centre for Doctoral Training, and Health Systems Optimisation groups. His editorial roles include serving on the editorial boards of EURO Journal on Decision Processes , Optimization , 4OR , and others. Recent work emphasizes applications in railway timetabling, radiation therapy planning, and sustainable urban mobility. He advises PhD students like Malek Almousa, an Associate Lecturer. Key research themes include bi-objective optimization, algorithm design for multi-criteria problems, and real-world implementations in healthcare and transportation. His projects bridge theoretical advancements with practical solutions for complex decision-making environments.

• Geometric Analysis
• Sub-Riemannian Geometry
• Isoperimetric Inequalities
• +۴ مورد دیگر

Valentina Franceschi is an Associate Professor at the Department of Mathematics Tullio Levi-Civita, University of Padova. She previously held roles including Marie Skłodowska-Curie Fellow at Sorbonne University (2019-2021), Lectrice Hadamard at Université Paris-Sud, and Inria postdoctoral fellow (2016-2019). Her research focuses on geometric analysis, sub-Riemannian geometry, and applications to neuroscience and control theory. She is affiliated with the Padova Neuroscience Center. PhD: University of Padova (2016) Key Awards: Marie Skłodowska-Curie Fellowship (MesuR Project) Research interests include isoperimetric inequalities, subelliptic operators, and cortical-inspired models for vision. She collaborates internationally on projects involving control theory and anisotropic geometry.