جست‌وجوی استاد و پژوهشگر

David Mondمشاهده پروفایل

استاد

• Singularity Theory
• Algebraic Geometry
• Climate Change
• +۳ مورد دیگر

David Mond is a Professor of Mathematics at the University of Warwick, specializing in singularity theory, algebraic geometry, and climate change research. His work bridges pure mathematics with applications in topology and environmental modeling. He holds an office in C2.17 and can be reached at D.M.Q.Mond@warwick.ac.uk. His research spans over four decades, with notable contributions to the classification of singularities, logarithmic vector fields, and free divisors. A key publication is Singularities of Mappings (2020), part of Springer’s Grundlehren series. He has secured grants from the Royal Society, EPSRC, and the London Mathematical Society for projects like 'Frobenius Manifolds & F-manifolds in Singularity Theory' (2005–2008). Mond’s recent work explores intersections between singularity theory and climate change, applying game-theoretic models to environmental policy analysis. His teaching includes modules like MA3F1 Topology and MA5NO Cohomology, reflecting his commitment to both research and education in mathematics. He advises on pedagogical initiatives, such as the Warwick Teaching Certificate for Mathematics, and collaborates internationally on singularities and foliations. His research group focuses on topics like vanishing cycles, discriminants, and the topology of mapping images.

Eveliina Peltolaمشاهده پروفایل

دانشیار

• Mathematical Physics
• Probability Theory
• Conformal Field Theory
• +۳ مورد دیگر

Eveliina Peltola is an Associate Professor at Aalto University's Department of Mathematics and Systems Analysis, within the School of Science. She is also affiliated with the University of Bonn's Hausdorff Center for Mathematics. Her research focuses on mathematical physics, combining algebraic, geometric, and probabilistic methods to study conformal field theory, random geometry, and scaling limits. Her academic positions include roles in Algebra and Discrete Mathematics, Mathematical Physics, and Analysis. She is a member of the Finnish Academy of Science and Letters and has been supported by grants such as the Academy of Finland, ERC Starting Grant, and German Research Foundation. Key research interests include Schramm-Loewner Evolution (SLE), conformal invariance, and logarithmic conformal field theory. Recent work involves connection probabilities of interfaces, large deviations, and degenerate conformal blocks. Notable publications span 2016–2025, addressing topics like SLE processes, Ising models, and geometric probability. Eveliina's contributions are supported by grants including the ISCoURaGe Finnish Centre of Excellence and the SFB Collaborative Research Centre 1060. Her research bridges mathematics and physics, with applications in statistical mechanics and random geometry. Awards and recognitions include her membership in the Finnish Academy of Science and Letters and funding from prestigious institutions like the ERC and Academy of Finland.

Tim Gräfnitzمشاهده پروفایل

پژوهشگر

• Algebraic Geometry
• Mirror Symmetry
• Enumerative Geometry
• +۳ مورد دیگر

Dr. Tim Gräfnitz is a researcher at the Institute of Algebraic Geometry within the Faculty of Mathematics and Physics at Leibniz University Hannover. His work focuses on advanced topics in algebraic geometry, including mirror symmetry, enumerative geometry, and tropical geometry. He holds an office at Welfengarten 1, Room G009 in Building 1101. His research interests center on logarithmic Gromov-Witten invariants, scattering diagrams, and their applications to mirror symmetry. He has contributed to foundational studies on Landau-Ginzburg models, quantum periods, and the interplay between tropical geometry and algebraic structures. Recent publications (2022–2025) emphasize innovative approaches to enumerative problems, such as counting tropical curves via scattering techniques and analyzing dense regions in scattering diagrams. These works bridge algebraic geometry with mathematical physics, particularly in non-Fano varieties and Calabi-Yau pairs. Dr. Gräfnitz maintains a dedicated homepage for extended research details and collaborations.

Xiaozhou Heمشاهده پروفایل

استاد

• Fluid Dynamics
• Turbulence
• Convection
• +۴ مورد دیگر

Xiaozhou He is a Professor and Vice President at the School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen. He holds the prestigious title of National High-level Overseas Young Talent and was appointed as Shenzhen 'Pengcheng Scholar' Distinguished Professor in 2019. His educational background includes a PhD in Fluid Mechanics from Hong Kong University of Science and Technology (2002-2009) and a BSc in Physics from Wuhan University (1998-2002). Prior to his current position, he served as Group Leader at the Max Planck Institute for Dynamics and Self-Organization (2010-2015) and as a Postdoctoral Fellow at Hong Kong University of Science and Technology (2010). Professor He's research focuses on fluid dynamics, particularly in turbulence, convection, and boundary layer phenomena. His work explores thermal boundary layers, heat transport mechanisms, and turbulent flow dynamics in various convection systems. He has made significant contributions to understanding the complex interactions between fluid motion and heat transfer in both theoretical and applied contexts, with applications ranging from fundamental fluid mechanics to oceanographic phenomena. His recent publications demonstrate a strong focus on thermal boundary layers and heat transport in different convection systems, particularly Rayleigh-Bénard convection. His research spans fundamental fluid dynamics to applications in oceanography, as evidenced by studies on temperature structures in the South China Sea. The work often involves experimental and numerical approaches to understand heat transfer mechanisms in turbulent systems. Appointed as Shenzhen 'Pengcheng Scholar' Distinguished Professor (2019) Paper selected for IOPselect (2015) Paper highlighted as Viewpoint in Physics by American Physical Society (2012) European Mechanics Society 'Young Scientist Award' (2011) National High-level Overseas Young Talent recognition Professor He has supervised numerous graduate students across various programs, including students in the School of Robotics and Advanced Manufacture and Mechanics programs. His research is supported by multiple grants including National Natural Science Foundation of China projects, Shenzhen stable support plans, and international collaborations with the Max Planck Society. Current projects include studies on horizontal convection, ocean temperature structures, and turbulent boundary layers. He leads a research group focused on experimental and numerical investigations of thermal convection systems, with particular expertise in boundary layer phenomena and heat transport mechanisms in turbulent flows.

• Mathematics
• Algebraic Topology
• Homotopy Theory
• +۱ مورد دیگر

Zhu Yifei is an Assistant Professor at the Southern University of Science and Technology (SUSTech), affiliated with the Faculty of Science and the Department of Mathematics. He has served at SUSTech since December 2016, transitioning to a tenure-track position in February 2020. Prior to this, he worked as a Visiting Assistant Professor at Northwestern University (2013–2016) and as a Visiting Scholar at the Chinese Academy of Sciences (2016). Education : Ph.D. in Mathematics (University of Minnesota, 2013), B.S. in Mathematics and Applied Mathematics (Peking University, 2007). His research spans Algebraic Topology , Homotopy Theory , and Number Theory , focusing on advanced algebraic structures and their topological applications. Key areas include Morava E-theories, modular curves, and power operations. Recent publications analyze norm coherence in level structures, Hecke algebra actions, and semistable models for modular curves. These works highlight intersections between algebraic geometry, homotopy theory, and number theory, with applications to formal deformations and topological logarithms. Contact: zhuyf@sustech.edu.cn

Elisa Gorlaمشاهده پروفایل

استاد

• Commutative algebra
• Code theory
• Cryptography
• +۳ مورد دیگر

Elisa Gorla is a Full Professor of Applied Mathematics at the Institute of Mathematics within the Faculty of Science at the University of Neuchâtel, Switzerland, where she has been employed since October 2012. She previously held positions as a Swiss National Science Foundation Professor at the University of Basel (2009-2012), Lecturer at the University of Zurich (2008-2009), and Postdoctoral fellow at the University of Zurich (2004-2008). Her educational background includes a Ph.D. in Mathematics from the University of Notre Dame (2004), an M.Sc. in Mathematics from the University of Notre Dame (2001), and an M.Sc. (Laurea) in Mathematics with highest honors (110/110 cum Laude) from the University of Genoa, Italy (1999). Professor Gorla's research spans the intersection of commutative algebra, coding theory, and cryptography. Her work focuses on algebraic structures for cryptographic applications, network coding, and the theoretical foundations of error-correcting codes. She has made significant contributions to understanding the complexity of polynomial system solving, determinantal ideals, and rank-metric codes. Her research has evolved from pure commutative algebra toward increasingly applied directions, particularly in cryptographic applications and coding theory for modern communication systems. Her recent publications demonstrate a strong focus on multivariate cryptography, rank-metric codes, and the algebraic foundations of modern cryptographic systems. She has published extensively on topics including Gröbner bases complexity, generalized weights of codes, and algebraic structures for post-quantum cryptography. Prix Leon Du Pasquier - Louis Perrier from University of Neuchatel (for best Ph.D. thesis in Faculty of Science in 2016) Featured on AcademiaNet - Expert Database of Outstanding Female Scientists and Scholars since 2012 Member of MEGA Advisory Board since 2015 2018 RTG Lecture Series speaker at University of Clemson Recipient of multiple research grants including European Commission Horizon Europe Doctoral Network Grant Professor Gorla has supervised numerous Ph.D. students including Giulia Gaggero, Flavio Salizzoni, and Alberto Ravagnani (who received the Prix Leon Du Pasquier). She has served as Director of the Mathematics Institute at the University of Neuchâtel since 2021 and is a member of the Board of Trustees of the Swiss Mathematical Society. She organizes the research seminar in coding theory and cryptography across the Universities of Neuchâtel, St. Gallen, and Zurich, fostering a collaborative research environment in these fields.

Felix Ambellanمشاهده پروفایل

پژوهشگر

• Statistical Shape Analysis
• Medical Imaging
• Knee Osteoarthritis
• +۵ مورد دیگر

Felix Ambellan is a researcher at the Zuse Institute Berlin (ZIB), working in the Visual and Data-Centric Computing department within the Mathematics of Complex Systems division. His research focuses on applying advanced mathematical and computational techniques to medical imaging problems, particularly in the context of knee osteoarthritis and neurological disorders. Dr. Ambellan completed his doctoral studies at Freie Universität Berlin, where he earned his PhD in 2022 with a thesis titled "Efficient Riemannian Statistical Shape Analysis with Applications in Disease Assessment," supervised by Christof Schütte and Christoph von Tycowicz. His primary research interests lie at the intersection of medical imaging, computational geometry, and machine learning. Ambellan specializes in statistical shape analysis using Riemannian geometry, developing novel approaches for disease assessment through anatomical shape variations. His work has significant applications in knee osteoarthritis diagnosis and Alzheimer's disease grading, where he applies graph neural networks and manifold-valued statistics to extract clinically relevant information from medical images. He has made substantial contributions to the field of statistical shape modeling, particularly through the development of the open-source Python library Morphomatics. Analysis of Ambellan's recent publications reveals a strong focus on advancing statistical shape modeling techniques within non-Euclidean spaces. His work bridges theoretical mathematics with practical medical applications, particularly in developing methods that can handle the complex geometry of anatomical structures. Many of his papers demonstrate how incorporating geometric awareness into machine learning models improves diagnostic accuracy for conditions like knee osteoarthritis. His research often involves large-scale medical image datasets, including thousands of knee MRI scans from the Osteoarthritis Initiative. Dr. Ambellan is actively involved in several research projects including "Manifold-Valued Graph Neural Networks," "Morphological Scoring of Disease States," and "Treating Osteoarthritis in Knee with Mimicked Interpositional Spacer," which reflect his commitment to translating theoretical advances into clinical applications. His work has been published in high-impact journals including Medical Image Analysis, Physics in Medicine and Biology, and BMC Medical Imaging, demonstrating both the theoretical rigor and practical relevance of his research.

• Fracture Mechanics
• Formability
• Plasticity
• +۹ مورد دیگر

Cliff Butcher serves as an Associate Professor in the Department of Mechanical Engineering at the University of Waterloo, specializing in the mechanical behavior of metals for automotive applications including crashworthiness and forming processes. His academic credentials include: Doctorate in Mechanical Engineering (2011), University of New Brunswick Master of Engineering in Mechanical Engineering (2007), University of New Brunswick Bachelor of Science in Mechanical Engineering (2006), University of New Brunswick Professor Butcher's research focuses on fracture mechanics, plasticity, and micromechanics of advanced materials. He investigates computational mechanics applications for automotive metal forming, crash simulations, and lightweight alloy behavior, with particular emphasis on advanced high-strength steels, aluminum, and magnesium alloys under warm/hot forming conditions. His 2017 publications analyze fracture behavior across multiple alloy systems under shear and edge-stretching conditions. The work systematically addresses strain rate effects, anisotropy, specimen geometry, and damage evolution in dual-phase steels and aluminum alloys, establishing critical failure parameters for industrial forming processes. Currently accepting graduate students for research in metal forming mechanics and fracture analysis. No specific grants are detailed in the available information.

Luiz Fariaمشاهده پروفایل

پژوهشگر ارشد

• Numerical Methods for Partial Differential Equations
• Boundary Integral Equations
• Wave Propagation
• +۴ مورد دیگر

Luiz Faria is a research scientist at ENSTA Paris , affiliated with the Applied Mathematics Unit (UMA) and the POEMS (Propagation des Ondes : Étude Mathématique et Simulation) research team at INRIA Saclay. His work focuses on numerical methods for partial differential equations , integral equations , and scientific computing , with applications in wave propagation , electromagnetic scattering , and detonation theory . Ph.D. in Applied Mathematics and Computational Sciences, KAUST (2015) M.S. in Applied Mathematics and Computational Sciences, KAUST (2011) B.S. in Mathematics, Texas A&M University (2010) His research spans: Wave Propagation : Advanced boundary integral equation methods for electromagnetic and water wave scattering, including complex-scaled formulations and field-only approaches Detonation Theory : Asymptotic analysis of detonation instabilities, set-valued solutions, and thermochemical loss modeling Numerical Methods : High-order quadrature techniques, polynomial density interpolation, and convolution quadrature algorithms Recent publications highlight: Development of field-only boundary integral equations for electromagnetic scattering in spherical geometries Efficient polynomial interpolation methods for singular volume potential evaluation Studies on nonlinear elliptic equations with variable exponents and convection terms He contributes to open-source software like DataFlowTasks.jl , and applies his methodologies to problems in inhomogeneous scattering and reactive media dynamics . His work bridges theoretical mathematics with industrial applications in energy , transportation , and defense technologies .

• Mathematical Analysis
• Functional Analysis
• Partial Differential Equations
• +۳ مورد دیگر

Stefania GATTI is an Associate Professor at the Department of Physical, Computer and Mathematical Sciences, University of Modena and Reggio Emilia. Her academic work focuses on mathematical analysis, particularly in partial differential equations, dynamical systems, and phase-field models with applications to complex fluids and tumor growth. Teaches courses such as Mathematical Analysis I for Mechanical Engineering, and advanced topics like Higher Analysis and Evolution Equations for Mathematics Master's programs. Research emphasizes nonlinear evolution equations, weak formulations, and global attractors in infinite-dimensional dynamical systems. Her publications address problems including the Cahn-Hilliard equation with memory, tumor growth models, and phase-field systems with dynamic boundary conditions. Key trends in her research include the mathematical analysis of dissipative systems, applications in biological modeling, and rigorous theoretical frameworks for PDEs. She employs tools like Sobolev spaces, Faedo-Galerkin methods, and functional analysis across her work. She is actively engaged in teaching, offering structured courses with detailed theoretical and applied content. Office hours are available by email appointment, and course materials are disseminated via the Teams platform.

• Algorithms
• Complexity Theory
• Theoretical Computer Science
• +۵ مورد دیگر

Jesper Nederlof is an Associate Professor in the Algorithms and Complexity group at the Department of Information and Computing Sciences, Faculty of Science, Utrecht University. His research focuses on designing efficient algorithms for computationally hard problems, particularly in the areas of parameterized complexity, graph algorithms, and NP-complete problems. He received his M.Sc. in Applied Computing Science from Utrecht University in 2008 and his Ph.D. from the University of Bergen in 2011 with the thesis 'Space and Time Efficient Structural Improvements of Dynamic Programming Algorithms' under supervision of Pinar Heggernes. Nederlof's research interests span multiple areas of theoretical computer science, with a particular focus on designing algorithms for NP-complete problems with small exponential worst-case run time. His work extends to algorithmic game theory, information theory, representation theory, approximation algorithms, and online algorithms. He has made significant contributions to parameterized complexity, particularly in developing algorithms parameterized by structural graph parameters like treewidth and cutwidth. His publication record shows a consistent output of high-quality research in top theoretical computer science venues. His recent work demonstrates trends toward tighter bounds for exponential-time algorithms, improved space complexity, and connections between different complexity hypotheses like ETH. Many papers focus on structural parameters of graphs to develop more efficient algorithms for fundamental problems like Hamiltonian cycle, Steiner tree, and subset sum. EATCS-IPEC Nerode Prize (2023) WG best paper award (2020) Nederlof has been involved in teaching courses on algorithms, (non)-linear optimization, graph theory, (vector) calculus, modeling, and management and product development. His research has been supported by various grants including an NWO open competition project during his postdoctoral period and an EU ERC Starting Grant for the project 'Finding Cracks in the wall of NP-Completeness' (2020-2025). As a member of the Algorithms and Complexity group at Utrecht University, Nederlof collaborates with researchers working on foundational aspects of computing, contributing to the group's reputation in theoretical computer science research.

Károly Böröczky Jr.مشاهده پروفایل

استاد پژوهشی

• Lattice points in large bodies
• Minkowski type Monge-Ampere equations
• Logarithmic Brunn-Minkowski conjecture
• +۹ مورد دیگر

Károly Böröczky Jr. is a Research Professor at the Alfréd Rényi Institute of Mathematics (Department of Geometry). His work spans convex geometry, discrete geometry, and geometric analysis, with a focus on inequalities like the Brunn-Minkowski and Prekopa-Leindler theorems, logarithmic curvature problems, and approximation of convex bodies. Research Grants : Logarithmic-Brunn-Minkowski conjecture (2019.12.01 - 2023.11.30) Stochastic and analytical geometry (2018.09.01 - 2020.08.31) Evaluations on lattice polytopes (2016.01.01 - 2019.12.31) Collaborations : Co-edited volumes honoring Ted Bisztriczky, Gabor Fejes Tóth, and Endre Makai (2018), and contributed to New Trends in Intuitive Geometry (Springer, 2018). Scientific Awards : 2015 Alfred Rényi Award 2005 János Bolyai Research Scholarship 2004 Pál Erdős Award Contact : carlos@renyi.hu , boroczky.karoly.j@renyi.hu

Albert Muchمشاهده پروفایل

پژوهشگر

• Causal Fermion Systems
• Quantum Field Theory
• Mathematical Physics
• +۳ مورد دیگر

Dr. Albert Much is a researcher at the Universität Leipzig affiliated with the DFG-funded priority programme "Geometry at Infinity" (SPP2026). His work focuses on causal fermion systems, fermionic entropy, and geometric analysis in Lorentzian manifolds, particularly in contexts involving black holes, Minkowski spacetime, and quantum field theory. He collaborates with Felix Finster, Robert H. Jonsson, and other physicists on projects related to self-adjointness of operators and quantum information in relativistic settings. His recent publications examine: Fermionic von Neumann and entanglement entropy in causal fermion systems Area laws in two-dimensional diamond geometries Modular-theoretic approaches to relative entropy computation He contributes to the theoretical foundations of quantum fields in globally hyperbolic spacetimes and explores connections between geometric structures and quantum information measures.

• Algebraic Combinatorics
• Non-crossing Partitions
• Subword Complexes
• +۵ مورد دیگر

Prof. Dr. Christian Stump holds the W2-Professorship for Algebraic Combinatorics at the Faculty of Mathematics, Ruhr-Universität Bochum . He coordinates the DFG Priority Program Combinatorial Synergies and actively engages in interdisciplinary research at the intersection of combinatorics, algebra, and geometry. His team includes Jun.-Prof. Dr. Marie Brandenburg PhD students Elena Hoster, Nupur Jain, and Federico Lazzeri Former members Research Interests span algebraic combinatorics , cluster algebras , non-crossing partitions , subword complexes , and machine learning applications in mathematics . His work explores the deep connections between combinatorial structures and algebraic geometry, particularly through reflection groups and Catalan theory. Scientific Trends from his recent articles include Non-crossing and m-divisible partition analysis Hyperplane arrangement topology Matroid theory and lattice paths AI-assisted mathematical discovery Combinatorial geometry of polyhedra and complexes Scientific Awards include DFG Heisenberg Fellowship (2017-18) CRM-ISM Fellowship (2009-11) Grants & Projects highlight PI for DFG Priority Program Combinatorial Synergies (€473,360) Heisenberg Fellowship project on Noncrossing phenomena (€585,300) DFG Research Grant for Coxeter-Catalan Combinatorics (€324,900) Labs & Collaborations include the Combinatorial Synergies program, the FindStat.org combinatorial statistics database, and collaborations with institutions in Frankfurt, Barcelona, and Berlin.

• Perception-action loops
• Animal behavior
• Sensory substitution
• +۸ مورد دیگر

Christian Graff is an HDR lecturer at the University of Grenoble Alpes, affiliated with the Laboratory of Psychology and Neuro-Cognition (LPNC). His research spans multiple disciplines including neurosciences, psychophysique, and ethology, with a focus on perception-action loops, animal behavior, sensory substitution, and rhythms. He serves as a disability reference teacher for psychology students at the university. Graff's research interests center on irregular rhythms, intermodal sensory perception, and human/cognitive systems. His work explores how rhythmic patterns in biological systems inform our understanding of temporal processing, from electric fish signaling to human finger-tapping and eye blinking. He investigates sensory substitution systems to assist visually impaired individuals in spatial navigation and has developed innovative approaches to multimodal guidance using sound metaphors. His publication trends reveal a progression from neuroethology of electric fish to psychophysics and evolutionary psychology. Recent work focuses on sensory substitution for spatial awareness, virtual reality embodiment, and rhythmology. His research bridges biology, psychology, and technology, examining how humans interact with space through multiple sensory channels and how these insights can inform assistive technologies. Graff collaborates extensively across disciplines through projects like SAM-guide (Spatial Awareness from Multimodal guidance), CDP Boot (Cross-disciplinary Program for robot interaction), and FISHIF (Fish In Silico with Hydrodynamic and Social Interaction Forces). He participates in interdisciplinary collectives including CARMEN (Consciousness, Attention, Representation Mentale) and the "Rhythmologies" and "Humanibots" research axes at MSH-Alpes. His laboratory work involves the Babylab and focuses on perception-action systems, with current projects exploring voice control of flying robots, sensory substitution devices, and the metalinguistic function of spontaneous eye blinking. His team combines experimental approaches from ethology, psychophysics, and virtual reality to investigate how humans and animals perceive and interact with space across different temporal scales.