جست‌وجوی استاد و پژوهشگر

Amir Vaxmanمشاهده پروفایل

دانشیار

• Geometry Processing
• Discrete Differential Geometry
• Directional-Field Design
• +۴ مورد دیگر

Amir Vaxman is a Reader in Graphics, Simulation and Visual Computing at the School of Informatics, The University of Edinburgh, where he leads the Geometry Processing Group within the Institute of Perception, Action and Behaviour. Previously, he was an assistant professor at Utrecht University in the Netherlands and a postdoctoral fellow at TU Wien (Vienna) where he received the Lise-Meitner fellowship. Ph.D. in Computer Science, Technion-IIT, 2011 M.Sc. in Computer Science, Technion-IIT, 2006 B.Sc. in Computer Engineering, Technion-IIT, 2002 Dr. Vaxman's research focuses on geometry processing and discrete differential geometry , with particular interests in directional-field design, unconventional meshes, constrained shape spaces, architectural geometry, and medical applications. His work bridges theoretical mathematics with practical applications in computer graphics, visualization, and fabrication. His recent publications (2023-2025) demonstrate a strong focus on geometric modeling, neural surface reconstruction, and directional field synthesis. Key trends include the development of novel algorithms for mesh processing, integration of deep learning with geometric modeling, and applications to medical imaging and architectural design. Best Paper Award (Honorable Mention) at SIGGRAPH 2024 for "Fabric Tessellation: Realizing Freeform Surfaces by Smocking" Runner-Up Best Paper Award at Symposium on Geometry Processing (SGP) 2023 for "BPM: Blended Piecewise Möbius Maps" Software Award at Symposium on Geometry Processing 2021 for libhedra Dr. Vaxman has supervised numerous graduate students including 5 current PhD candidates and over 20 graduated students. He serves in editorial roles for ACM Transactions on Graphics and has been program co-chair for multiple major conferences including Shape and Physical Modeling (SPM) 2026. He leads the Geometry Processing Group at the University of Edinburgh, which focuses on developing cutting-edge algorithms for geometry processing, with applications ranging from computer graphics to architectural design and medical imaging.

Manfredi Maggioreمشاهده پروفایل

استاد

• Nonlinear Control
• Robotics
• Dynamical Systems Theory
• +۴ مورد دیگر

Manfredi Maggiore is a Professor at the University of Toronto's Edward S. Rogers Sr. Department of Electrical and Computer Engineering. He received his Laurea in Electronic Engineering from the University of Genoa (1996) and PhD in Electrical Engineering from Ohio State University (2000). His research specializes in nonlinear control theory, robotics, and dynamical systems, with a focus on virtual holonomic constraints, path following, and stabilization of underactuated mechanical systems. Research Interests: Prof. Maggiore's work integrates mathematical methods from dynamical systems theory and differential geometry to address fundamental challenges in nonlinear control. Key areas include: Set stabilization and its relationship to path following Virtual holonomic constraints for mechanical systems Distributed coordination of robotic networks Hybrid control of underactuated systems Recent Publication Trends (2017-2024): His 15 most recent articles demonstrate a consistent focus on geometric control methods for robotic and mechanical systems, particularly stabilization of underactuated systems (e.g., acrobots, snake robots) using virtual constraints. Key themes include distributed multi-agent control, hybrid system stabilization, and novel applications of differential geometry. Awards: IEEE Conference on Control Applications Best Paper Award (2005) ECE Teaching Award (2004, 2014, 2015) Faculty Teaching Award (2018) Senior Member, IEEE Control Systems Society Affiliations: He leads research within the Systems Control Group and has held visiting positions at the University of Bologna (2007-2008) and École CentraleSupélec (2015-2016). He organizes the Biennial Meeting on Systems and Control Theory, promoting Canadian control research collaboration.

Arnau Padrolمشاهده پروفایل

دانشیار

• Discrete Geometry
• Combinatorial Geometry
• Convex Polytopes
• +۵ مورد دیگر

Arnau Padrol is an Associate Professor at the Department of Mathematics and Computer Science, Faculty of Mathematics, Universitat de Barcelona. He is a member of the Combinatorics Research Group, the Institut de Matemàtica de la Universitat de Barcelona (IMUB), and the Centre de Recerca Matemàtica (CRM). He is currently on leave from a similar position as Maitre de conférences HDR at Sorbonne Université’s Institut de Mathématiques de Jussieu - Paris Rive Gauche, where he was part of the Combinatoire et Optimisation team. His research lies at the intersection of discrete geometry, combinatorics, and algebra, with a focus on convex polytopes, oriented matroids, triangulations, and their applications. He explores deep structural properties of polytopes, including their realization spaces, deformation cones, and connections to cluster algebras and combinatorial optimization. His work often reveals surprising phenomena in higher dimensions, such as the existence of polytopes without rational realizations or with complete graphs. The recent publications reflect a strong trend in geometric combinatorics, particularly in the study of polytopal structures like associahedra, zonotopes, and hypersimplices, and their combinatorial and algebraic properties. Key themes include universality, realizability, and the interplay between geometry and combinatorics in high-dimensional spaces. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Arnau Padrol has supervised multiple PhD students and postdoctoral researchers, including Chiara Mantovani, Eva Philippe, Germain Poullot, and Leonardo Martínez-Sandoval. His supervision reflects an active research group in geometric combinatorics. He has been involved in research projects such as Geometry and Algebra in Combinatorics , Red Temática de Matemática Discreta y Algorítmica , Combinatorics and Complexity of Discrete Geometric Structures , and several ANR-funded projects including PAGCAP and CAPPS, indicating sustained grant support for his research. Labs and Teams: He is a core member of the Combinatorics Research Group at Universitat de Barcelona and is affiliated with IMUB and CRM. At Sorbonne Université, he was part of the Combinatoire et Optimisation team at IMJ-PRG. These affiliations place him within active research networks in discrete mathematics in Europe.

• Topology
• Pure Mathematics
• Mathematical Modeling
• +۳ مورد دیگر

Ana Lucia Garcia Pulido is a Lecturer in Pure Mathematics and Mathematical Modeling at the University of Stirling 's Department of Mathematics. Her academic profile spans geometric topology, Lie algebras, and topological data analysis. Published groundbreaking work on partial transportation metrics and bi-Lipschitz embeddings (2024) Contributed to topological graph pseudometrics (2023) Investigated structural limitations in low-dimensional Lie algebras (2023) Research Interests focus on: Topological Structures: exploring metric geometry in unordered data spaces Algebraic Systems: specializing in non-associative algebras and symplectic properties Geometric Analysis: advancing understanding of Clifford-Hermitian manifolds Recent publications demonstrate cross-disciplinary impact across Mathematische Annalen , Journal of Algebra and Its Applications , and specialized computational topology publications. Key methodological contributions include innovative approaches to topological data embedding and geometric constraint analysis.

Harshit Jitendra Motwaniمشاهده پروفایل

پژوهشگر ارشد

• Computational Algebraic Geometry
• Formal Verification
• Tensors
• +۵ مورد دیگر

Harshit Jitendra Motwani is a Postdoctoral Researcher at the Max Planck Institute for Software Systems (MPI-SWS) , Germany. Previously, he was a Postdoctoral Fellow at the Hong Kong University of Science and Technology (HKUST) (2023-2024), following doctoral research at Ghent University (2021-2023) and earlier engagements at HKUST, Ghent University, and the University of Bristol . Education : PhD in Mathematics: Algebra and Geometry from Ghent University (2021-2023), Thesis on Algebro-Geometric Algorithms for Program Synthesis; Integrated BSc and MSc in Mathematics and Computing from IIT Kharagpur (2015-2020). Research Focus : Integrates mathematics into computational domains, particularly Computational Algebraic Geometry , Formal Verification , and Tensors . His work spans program synthesis , tensor networks , conditional independence models , and control theory applications . Publications : Recent contributions include algorithmic advancements in formal methods (FM, AAAI, LAGOS), algebraic statistics (IMRN), and quantum computing (SIGMA). His research combines symbolic computation with practical software engineering challenges. Awards & Honors : IEEE Computer Society Larson Best Paper Award (2023) ACM SIGPLAN Distinguished Paper Award (2023) Young Researcher of the Heidelberg Laureate Forum (2023) INSPIRE Scholarship (2015-2020) Teaching : Guest Lecturer at HKUST, Teaching Assistant at RPTU Kaiserslautern-Landau and IIT Kharagpur. Mentored multiple bachelor's projects at Ghent University and IIT Kharagpur.

Junming Xieمشاهده پروفایل

استادیار

• Differential Geometry
• Ricci Flow
• Mean Curvature Flow
• +۲ مورد دیگر

Junming Xie is a Hill Assistant Professor in the Department of Mathematics at Rutgers University-New Brunswick. His research focuses on differential geometry, particularly Ricci flow and mean curvature flow. He earned his Ph.D. under the supervision of Prof. Huai-Dong Cao at Lehigh University and is currently mentored by Prof. Xiaochun Rong. Research Interests Differential Geometry Ricci Flow Mean Curvature Flow Soliton Theory Geometric Evolution Equations Publications Trends (2023-2025) His recent work investigates gradient Ricci solitons and mean curvature flow solitons in four-dimensional manifolds, focusing on curvature conditions like isotropic curvature and scalar curvature ratios. Key themes include geometric rigidity, asymptotic behavior, and convexity properties of evolving hypersurfaces.

Karl-Theodor Sturmمشاهده پروفایل

استاد

• Stochastic Analysis
• Geometric Analysis
• Metric Measure Spaces
• +۷ مورد دیگر

Karl-Theodor Sturm is a Full Professor at the Institute for Applied Mathematics of the University of Bonn, where he has been since 1997. His research focuses on Stochastic Analysis , Geometric Analysis , and Metric Measure Spaces , particularly in the context of Ricci Curvature , Optimal Transport , and Liouville Quantum Gravity . He currently serves as Director of the Hausdorff Research Institute for Mathematics (since 2024) and previously coordinated the Hausdorff Center for Mathematics (2012–2019). As Principal Investigator of the ERC Advanced Grant Metric measure spaces and Ricci curvature - analytic, geometric and probabilistic challenges (2016–2022), he advanced interdisciplinary research at the intersection of geometry, probability, and analysis. Research Themes : Synthetic Ricci curvature, Optimal transport, Stochastic analysis on singular and random spaces, Dirichlet forms, Geometric inequalities. Recent Publications : Highlighted works include studies on heat flows on nonconvex domains, Wasserstein diffusions, and conformally invariant random fields in quantum gravity. His work often bridges probabilistic methods with geometric and analytic structures. Scientific Awards : Notable accolades include the Heisenberg Fellowship of the DFG (1994) and the ERC Advanced Grant (2016–2022). He has declined offers from prestigious institutions like Imperial College London, Northwestern University, and the University of Kansas. Teaching and Leadership : He leads graduate seminars (e.g., on Gaussian Free Fields and Liouville Quantum Gravity) and advanced courses in geometric analysis. As Managing Director of his institute and member of scientific committees (e.g., Mathematische Forschungsinstitut Oberwolfach), he shapes academic governance.

Oliver M. O'Reillyمشاهده پروفایل

استاد

• Continuum Mechanics
• Nonlinear Dynamics
• Rigid Body Dynamics
• +۴ مورد دیگر

Oliver M. O'Reilly is a Distinguished Professor of Mechanical Engineering at the University of California at Berkeley, where he also serves as Vice Provost for Undergraduate Education and Faculty Athletics Representative. He has been a faculty member since 1992 and has held significant administrative roles including Chair and Vice Chair of the Berkeley Division of the Academic Senate and Associate Dean for Graduate Education. Dr. O'Reilly's educational background includes: B.E. in Mechanical Engineering from the National University of Ireland, Galway M.S. and Ph.D. in Theoretical and Applied Mechanics from Cornell University Postdoctoral work at the Institut für Mechanik at ETH-Zürich His research spans continuum mechanics and nonlinear dynamics with specializations in Cosserat theories of deformable bodies, constrained rigid body dynamics, contact mechanics, and vibrations. His work has applications in soft robotics, MEMS devices, biomechanics, vehicle dynamics, and the study of everyday phenomena like spaghetti deformation during cooking. His theoretical contributions have significantly advanced the understanding of rod and shell mechanics. Analysis of his recent publications reveals a strong focus on geometric mechanics, elastic rod theory, and applications to soft robotics. His work bridges fundamental theoretical mechanics with practical applications, particularly in developing mathematical models for emerging technologies like soft robots. There's a clear trajectory from classical mechanics problems toward more complex systems with applications in biomedical engineering and novel materials. Dr. O'Reilly has received numerous prestigious awards: U.C. Berkeley's Distinguished Teaching Award (1999) Pi-Tau-Sigma Professor of the Year Award (2003) Tau-Beta-Pi Outstanding Faculty of the Year Award (2013) Berkeley Faculty Service Award As Vice Provost for Undergraduate Education, Dr. O'Reilly plays a significant role in shaping educational policy at Berkeley. His extensive publication record of over 100 journal articles, three textbooks, and a monograph demonstrates his commitment to both research and education. He has mentored numerous graduate students and collaborated widely across mechanical engineering, applied mathematics, and biomedical fields. Dr. O'Reilly leads the Dynamics Lab at UC Berkeley, which focuses on theoretical and applied problems in mechanics. The lab has produced significant work in elastic rod theory, soft robotics, biomechanics, and vehicle dynamics. Current research directions include the mathematical modeling of peristaltic locomotion, stability analysis of mechanical systems, and the development of computational methods for complex mechanical problems.

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

• Discrete Subgroups of Lie Groups
• Algebraic Geometry
• Low-Dimensional Topology
• +۵ مورد دیگر

Matthew Stover is a Professor in the Department of Mathematics at Temple University. His research spans discrete subgroups of Lie groups, algebraic geometry, low-dimensional topology, hyperbolic geometry, dynamics, and number theory, building on foundational work by Klein, Picard, and Poincaré through modern Gromov-Thurston and Margulis perspectives. Education: BA in Mathematics (University of Chicago, 2003); PhD in Mathematics (University of Texas at Austin, 2010). His work explores intersections of algebraic geometry with hyperbolic manifolds, focusing on congruence subgroups, superrigidity, and geometric group theory. Recent projects include cohomological nonvanishing for ball quotients and arithmeticity of complex hyperbolic manifolds. Recent publications (2021-2025) address topics such as totally geodesic submanifolds, residual finiteness, and Kähler groups. Keywords include hyperbolic geometry, algebraic fundamental groups, and geometric rigidity. Scientific Awards: 2023 Dean’s Distinguished Excellence in Research Award Grants include NSF DMS-2203555/2506896 and Simons Foundation SFI-MPS-TSM-00014184. He advises PhD students at Temple and collaborates on projects involving modular surfaces, Coxeter groups, and Shimura varieties.

Scott Schaeferمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Mesh Processing
• +۴ مورد دیگر

Scott Schaefer is a Professor and Department Head of the Department of Computer Science & Engineering at Texas A&M University, holding the Lynn '84 and Bill Crane '83 Department Head Chair. He leads research in computer graphics, geometric modeling, and computational geometry, with significant contributions to mesh processing, parameterization, and barycentric coordinates. Education: B.S. in Computer Science and Mathematics from Trinity University (2000) M.S. in Computer Science from Rice University (2003) Ph.D. in Computer Science from Rice University (2006) Dr. Schaefer's research focuses on geometric modeling, computer graphics, and computational geometry. His work primarily addresses mesh processing, surface parameterization, barycentric coordinates, and curve design. He has developed innovative techniques for mesh denoising, point cloud processing, texture filtering, and bijective parameterization. His research often combines theoretical foundations with practical applications in computer graphics and visualization. His work has significant implications for 3D modeling, animation, and geometric data processing. His recent publications demonstrate a strong focus on geometric processing using optimization techniques like L0 minimization, advanced parameterization methods, and novel barycentric coordinate systems. His work spans from theoretical foundations of geometric representations to practical applications in mesh processing and texture mapping. A consistent theme is developing mathematically sound methods that preserve geometric features while optimizing for computational efficiency. Scientific Awards: Best Paper Award at SGP for "A Family of Barycentric Coordinates for Co-Dimension 1 Manifolds with Simplicial Facets" Third Best Paper Award for "Isometry-Aware Preconditioning for Mesh Parameterization" Best Paper Award for "Wavelet Rasterization" NSF CAREER Award TEES Research Impact Award Associate of Former Students Distinguished Achievement Award in Teaching SEC Academic Leadership Development Program Fellow Dr. Schaefer has advised numerous graduate students including Anshul Mendiratta (current), and former students such as Zhipei Yan (Nvidia), Jason Smith (Schlumberger), Lei He (Microsoft), Josiah Manson (Activision Research), Eric Landreneau (Blizzard Entertainment), Mayank Singh (University of Wisconsin La Crosse), and Kuiyu Li (Intel). His research has been supported by significant grants including the NSF CAREER Award, which represents the National Science Foundation's most prestigious award in support of early-career faculty. While specific lab information isn't detailed in the provided text, Dr. Schaefer appears to lead a research group focused on geometric modeling and computer graphics at Texas A&M University, with collaborations across institutions as evidenced by his co-authored publications with researchers from various organizations.

Damiano Pasiniمشاهده پروفایل

استاد

• Solid Mechanics
• Structural Optimization
• Architected Materials
• +۷ مورد دیگر

Professor Damiano Pasini is affiliated with the Department of Mechanical Engineering at McGill University, with associate memberships in the Department of Bioengineering and Department of Biomedical Engineering. His research focuses on solid mechanics, structural optimization, and fabrication of architected materials (mechanical metamaterials) with extreme properties for aerospace and medical applications. Expertise in mechanical metamaterials and 3D printing Research on plant tissue mechanics (Selaginella lepidophylla) Applications in bone replacement implants and soft robotics Key methodologies: experiments, theory, simulations Research areas include topology optimization and defect tolerance in additive manufacturing

Etienne Vougaمشاهده پروفایل

دانشیار

• Physical simulation
• Geometry processing
• Discrete differential geometry
• +۴ مورد دیگر

Etienne Vouga is an Associate Professor in the Department of Computer Science and the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin. His interdisciplinary research spans physical simulation, geometry processing, and computer graphics, with applications ranging from special effects in films like The Hobbit and Tangled to Artec's Shapify 3D portrait service. Education: PhD from Columbia Computer Graphics Group Postdoctoral research at Harvard SEAS Professor Vouga's research focuses on physical simulation of thin, elastic materials like cloth, hair, and paper, as they deform and collide. He has made significant contributions to discrete differential geometry, developing algorithms that better understand how geometric properties affect physical behavior of deformable objects. His work bridges computer graphics, computational mechanics, and scientific computing, with applications in special effects, 3D printing, architectural design, and biological modeling. He has pioneered approaches in inverse problems where desired outcomes drive the design process rather than simply simulating physical phenomena. Award Highlights: Best Paper Award at GECCO (2017) for Evolutionary Decomposition for 3D Printing Professor Vouga teaches Computer Graphics: Honors (CS 378H/CS 384G) and Physical Simulation (CS 395T) graduate courses every spring semester. He also serves as head coach of UT's competitive programming teams. His research group has developed several important software tools including Discrete Shell Code for shell simulation and Asynchronous Contact Mechanics Code for robust collision handling. While he is not actively expanding his research group significantly, he remains open to working with exceptional graduate students whose research interests align closely with his work in physical simulation and geometry processing.

Benjamin Delarueمشاهده پروفایل

پژوهشگر

• Spectral Theory
• Differential Geometry
• Dynamical Systems
• +۲ مورد دیگر

Benjamin Delarue is a mathematician at the University of Paderborn , affiliated with the Faculty of Electrical Engineering, Computer Science and Mathematics and the Institute of Mathematics . He leads the DFG project "Resonances for non-compact locally symmetric spaces" and is a principal organizer of the 2025 conference Lie theory, Spectra and Dynamics . His research focuses on spectral theory, Anosov subgroups, and geometric structures on locally homogeneous manifolds. Department: Institute of Mathematics Projects: DFG Project, CRC-TRR 358 Research Interests Delarue investigates spectral properties of pseudo-Riemannian manifolds, dynamics of Anosov representations, and meromorphic extensions of resolvents. His work bridges geometric structures, Lie theory, and quantum-classical correspondence in non-compact symmetric spaces. Primary: Spectral Analysis of Lorentzian manifolds Secondary: Axiom A flows and Anosov subgroups Third: Oscillatory integrals in symplectic geometry Publication Trends Recent works emphasize geometric structures for Anosov representations, quantum vs classical resonance analysis, and exponential mixing properties in higher-rank symmetric spaces. Collaborations with Guillarmou, Monclair, and Sanders demonstrate interdisciplinary connections between differential geometry and dynamical systems. Conference Leadership Co-organizer of 2021 Oberwolfach Workshop Anosov³ Organizer of 2025 Lie theory, Spectra and Dynamics conference Academic Network Collaborates with researchers across Europe and North America, including Colin Guillarmou (Université Paris-Saclay), Daniel Monclair (Université Paris-Saclay), and Andrew Sanders (MPI Leipzig). His habilitation thesis "Symmetries in Hyperbolic Dynamics" (2025) solidifies his contributions to the field.

• Lorentzian Manifolds
• Lie Groups
• Rigidity
• +۳ مورد دیگر

Scot R Adams is a Professor at the School of Mathematics at the University of Minnesota. His work spans differential geometry, Lie groups, and applied mathematics, with a focus on rigidity phenomena and group actions on manifolds. He has contributed to the study of Lorentzian manifolds and noncompact Lie groups, as well as computational methods in elasticity. Email: adams005@umn.edu Research Interests: Adams' research centers on geometric and algebraic structures in mathematics, particularly the interplay between Lie groups and manifold dynamics. He has explored topics like frame bundle freeness, analytic group actions, and finite element methods for elasticity. His work often bridges abstract theory with practical computational applications. Grants: He participated as a Co-Investigator in the Yamabe Memorial Symposium (2014-2015), funded by the National Science Foundation, focusing on collaborative research in geometric analysis.