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Dr. Max Willert is affiliated with the Theoretical Computer Science Group at the Institut für Informatik, part of the Fachbereich Mathematik und Informatik at Freie Universität Berlin. His research focuses on computational geometry, algorithm design, and theoretical computer science, with a particular emphasis on problems involving polygonal domains, geometric algorithms, and combinatorial optimization. He has contributed to routing schemes, conflict-free chromatic guarding, and geometric covering problems. Education includes a Bachelor's thesis (2014) on orthogonal variants of the chromatic art gallery problem and a Master's thesis (2016) on routing schemes for disk graphs and polygons. His work bridges theoretical foundations with practical algorithmic solutions in geometric computing. Teaching spans from 2011 to 2020, covering courses like Informatik A/B, ProInformatik I, randomized algorithms, and programming. He has also led exercise sessions and seminars in topics such as logic, discrete mathematics, and object-oriented programming. His publications, including contributions to Computational Geometry: Theory and Applications and ISAAC , reflect expertise in geometric algorithms and discrete mathematics. Collaborations include work on routing in polygonal domains, chromatic guarding, and stabbing intersecting disks.

• Computational Geometry
• Algorithm Design
• Theoretical Computer Science
• +3 more

Federico Vigolo is a Junior Professor in pure mathematics at the University of Göttingen's Mathematical Institute and a Principal Investigator of RTG 2491 - Fourier Analysis and Spectral Theory. He also serves as one of the Equal Opportunities Officers (Gleichstellungsbeauftragte) of the Mathematical Institute. His work bridges several areas of mathematics including coarse geometry, operator algebras, and geometric group theory. Dr. Vigolo completed his PhD at the University of Oxford in 2018 with a thesis titled "Geometry of actions, expanders and warped cones". His academic journey has led him to become a prominent researcher in coarse geometry and its interactions with other mathematical fields. His primary research focuses on Coarse Geometry and its rich interactions with operator algebras, index theory, and group theory. Specific topics he has extensively worked on include Roe algebras, Expander Graphs, coarse Baum–Connes conjecture, actions on metric and measure spaces, and CAT(0) and Hyperbolic Cube Complexes. His work often explores the connections between large-scale geometric properties and algebraic structures, with significant contributions to understanding coarse groups and warped cones. An analysis of his publication record reveals a strong focus on the intersection of coarse geometry with operator algebras and group theory. His work consistently explores how coarse geometric properties manifest in algebraic structures like Roe algebras, and how these connections can be used to prove rigidity results or construct counterexamples to important conjectures. A notable trend is his development of frameworks that unify previously disparate concepts in coarse geometry, such as his work on coarse geometric modules and rigidity frameworks for Roe-like algebras. His 2023 monograph "An Invitation to Coarse Groups" represents a foundational contribution to this emerging field. Professional Activities Organizer of the "Autumn School on Large Scale Geometry" (2023, Göttingen) Organizer of the "Random walks and related random topics" workshop (2022, Göttingen) Organizer of the YMC*A conference (2021, Münster) Organizer of the "Interactions between expanders, groups and operator algebras" mini-workshop (2021, Münster) Dr. Vigolo actively supervises students, with Christos Kitsios currently pursuing a PhD under his guidance. He welcomes bachelor's and master's students interested in topics related to coarse geometry, geometric group theory, group actions on measure spaces, and operator algebras. He teaches a variety of courses including "Analytische Geometrie und Lineare Algebra," "Introduction to algebraic topology," and specialized seminars on topics like "Gender and Mathematics" and "topological K-theory." His research has led to significant contributions in multiple areas, particularly in developing the theory of coarse groups and exploring the connections between coarse geometry and C*-algebras. His work on warped cones and asymptotic expanders has provided new counterexamples to the coarse Baum-Connes conjecture and advanced our understanding of coarse geometric invariants.

• Coarse Geometry
• Operator Algebras
• Group Theory
• +7 more

Torsten Ueckerdt is an Interim Professor in the Algorithmics I group at the Institute of Theoretical Informatics, Karlsruher Institut für Technologie (KIT). He has held academic positions since 2012, including postdoctoral roles and habilitation in Discrete Mathematics. His research focuses on combinatorial objects like graphs, posets, and hypergraphs in geometric settings, exploring structural properties, colorings, and geometric representations. Holds a PhD from TU Berlin (2011) and habilitation from KIT (2017). Professional service includes editorial roles (Annals of Combinatorics) and program committees for conferences like Graph Drawing, SoCG, and EuroCG. Supervised numerous students across Bachelor's, Master's, and diploma theses. Research interests span structural graph theory, geometric graph theory, Ramsey theory, discrete geometry, and combinatorial games. Active in graph drawing and algorithm design, with contributions to queue layouts, graph representations, and optimization problems like cartograms and wind farm cabling.

• Graph Theory
• Geometric Graph Theory
• Discrete Mathematics
• +8 more

Dr. Benjamin Brück is an Investigator in Mathematics at the University of Münster, affiliated with the Faculty of Mathematics and Computer Science and the Institute for Mathematical Logic and Foundational Research. He is a member of the Collaborative Research Center (CRC) 1442: Geometry: Deformations and Rigidity. His research focuses on geometric group theory, algebraic topology, and model theory, with emphasis on cohomology of arithmetic groups, symplectic groups, and topological data analysis. Brück holds a PhD and has contributed to projects such as T1 (K-Groups and Cohomology) and T3 (Models and Universes) within the Mathematics Münster framework. His work bridges geometric and combinatorial structures, including studies on Coxeter complexes, handlebody groups, and persistent homology applications in cosmology. Recent publications include breakthroughs in the cohomology of SLn(Z), symplectic groups, and the interplay between graph complexes and cyclic operads. His research often intersects with algebraic geometry and geometric topology, addressing questions in arithmetic groups and topological invariants. No formal academic awards are listed, though his active participation in collaborative projects highlights his role in advancing interdisciplinary mathematical research. He is involved with the CRC Geometry initiative and contributes to the Graduate School’s academic programs.

• Geometric Group Theory
• Algebraic Topology
• Cohomology Theory
• +3 more

JProf. Dr. Aleksandra Kwiatkowska is a Professor at the University of Münster, affiliated with the Institute for Mathematical Logic and Foundational Research. She is an Investigator in Mathematics Münster and a member of CRC 1442 Geometry: Deformations and Rigidity. Her research focuses on model theory, set theory, and mathematical logic, with particular attention to automorphism groups, Fraïssé limits, and topological dynamics. She holds dual affiliations with the University of Wrocław's Institute of Mathematics. Her work explores the intersection of combinatorial set theory, topological structures, and group theory. Notable projects include Topics in Mathematics Münster T3: Models and Universes. Recent publications analyze embeddings into random posets, projective Fraïssé limits of graphs and trees, and the structure of automorphism groups in diverse mathematical contexts. No scientific awards or grants are explicitly listed in the provided materials. Her research contributes to foundational areas of mathematics, emphasizing rigorous logical frameworks and their applications to geometric and combinatorial problems.

• Model Theory
• Set Theory
• Mathematical Logic
• +3 more

Tarun Yenamandra is a researcher at the Computer Vision Group within the TUM School of Computation, Information and Technology at Technical University of Munich . He holds an M.Sc. in Informatik from Saarland University and a B.E. in Electronics and Communication Engineering from Osmania University . His research focuses on generative models , model-based learning , 3D/4D reconstruction , and differentiable rendering . Tarun has contributed to advancements in inverse rendering , implicit shape modeling , and multi-graph matching , with publications in top conferences like CVPR , WACV , and 3DV . His work intersects deep learning , geometric processing , and neural rendering , emphasizing efficient and accurate 3D modeling.

• Generative Models
• Model-Based Learning
• Convex Relaxations
• +3 more

Luis Ferroni is a Tenure-track Assistant Professor in the Department of Mathematics at Università di Pisa since April 2025. He concurrently holds a Postdoctoral Member position at the Institute for Advanced Study (IAS) in Princeton, New Jersey, under the mentorship of June Huh. Previously, he was a Postdoctoral Researcher at KTH Royal Institute of Technology (2022–2024) and earned his PhD in Mathematics from the University of Bologna (2018–2021), advised by Luca Moci. His Licentiate Degree in Mathematics was obtained from the Universidad Nacional de Córdoba (2013–2018). His research focuses on Algebraic Combinatorics , Matroid Theory , Polytopes , and Ehrhart Theory . Notable contributions include work on Ehrhart positivity, Kazhdan-Lusztig polynomials of matroids, and the Merino-Welsh conjecture. His research bridges combinatorial geometry, algebraic structures, and discrete mathematics. Ferroni has been awarded prestigious honors such as the Premio INdAM-UMI-SIMAI 2023 (for his PhD thesis on matroid polytopes), the Premio Mario Baldassarri 2023 (for his article on matroid non-Ehrhart positivity), and the Michele Cuozzo Prize 2022 for his thesis. He is also recognized for academic excellence during his undergraduate studies, including multiple top rankings at the Universidad Nacional de Córdoba. His teaching experience spans roles as a Teaching Assistant (TA) and Tutor at institutions like the University of Bologna and KTH. He has taught courses such as Enumerative Combinatorics and Geometry. Ferroni actively participates in academic outreach, serving as a jury member for the CIMA Olympiad and coaching programming teams in international competitions like the ICPC World Finals. He has presented at leading venues including the Harvard/MIT Combinatorics Seminar, the Institute for Pure & Applied Mathematics (UCLA), and international conferences like the British Combinatorial Conference. His work appears in top journals such as Advances in Mathematics , SIAM Journal on Discrete Mathematics , and Combinatorial Theory .

• Algebraic Combinatorics
• Matroid Theory
• Polytopes
• +3 more

André Nusser is a CNRS Researcher affiliated with the COATI group at Inria Center, Université Côte d’Azur. His work focuses on algorithms, computational geometry, and metric space analysis, particularly around the Fréchet distance, dynamic time warping, and graph hyperbolicity. Current Position: CNRS Researcher at Inria Université Côte d’Azur Primary Research Areas: Algorithms & Complexity, Computational Geometry, Metric Space Analysis Research Focus: André's research explores geometric optimization problems, trajectory analysis, and fine-grained complexity. Key contributions include advancements in dynamic time warping under translation, diameter computation for intersection graphs, and efficient algorithms for polygon partitioning. Awards & Recognition: Recipient of the Best Paper Award at VLDB 2014, Honorable Mention at AAAI 2014, and Best Poster Runner-up at SIGSPATIAL 2019. His work on Hausdorff distance and graph hyperbolicity has been invited to special issues. Academic Collaborations: Co-author on over 20 publications across conferences like STOC, SoCG, SODA, ESA, and journals including ACM Transactions on Algorithms and Discrete & Computational Geometry. Collaborates with leading researchers in computational geometry and algorithms. Software Advocacy: Actively promotes free software in research, highlighting tools like Ipe, Xournal++, Zotero, and Zulip for scientific productivity and collaboration.

• Algorithms and Complexity
• Computational Geometry
• Dynamic Time Warping
• +4 more

Alessandro Neri is a postdoctoral researcher in mathematics at Ghent University, Belgium, since October 2022, supported by the Research Foundation Flanders (FWO). Previously, he was a postdoctoral researcher in the Nonlinear Algebra group at the Max Planck Institute for Mathematics in the Sciences (2021–2022), and held an Early Postdoc.Mobility Fellowship from the Swiss National Science Foundation (2019–2021) at INRIA Saclay and Technical University of Munich. He earned his PhD in Mathematics from the University of Zurich in 2019 under Joachim Rosenthal. Current affiliation: Ghent University, Department of Mathematics: Analysis, Logic and Discrete Mathematics Prior affiliations: Max Planck Institute for Mathematics in the Sciences, University of Zurich, INRIA Saclay, Technical University of Munich His research focuses on Algebraic Coding Theory , particularly rank-metric codes , connections with finite geometry , finite fields , and combinatorics . His work explores algebraic structures like skew polynomial rings , evasive subspaces , and minimal codes , with applications to error correction and code design. Recent publications include studies on flag-rank metrics , symmetric rank-metric codes , and strong blocking sets , often in collaboration with leading experts in coding theory. Recent article trends highlight rank-metric and sum-rank codes (14/15), strong blocking sets (3/15), and symmetric structures (2/15). The work intersects algebraic geometry (7/15), combinatorics (6/15), and finite field theory (8/15), with applications to network coding and cryptography . Scientific Awards FWO Postdoctoral Fellowship Swiss National Science Foundation Early Postdoc.Mobility Fellowship He has no listed advisees but collaborates with 27+ researchers, including Daniel Augot, Antonia Wachter-Zeh, and Joachim Rosenthal. His work has been presented at 12+ international venues, such as the SIAM Conference on Applied Algebraic Geometry (2023) and Algebraic Methods in Coding Theory (2022). He co-organized the Coding Theory Colloquium (2023) and Algebraic Coding Theory Summer School (2022).

• Algebraic Coding Theory
• Finite Geometry
• Finite Fields
• +4 more

Xiangyang Xue is a Professor at Fudan University in Shanghai, China, with an extensive research portfolio spanning computer vision, machine learning, and artificial intelligence. His work demonstrates significant contributions to object-centric representation learning, 3D reconstruction, person re-identification, and semantic segmentation. With over two decades of publication history from 1999 to present, he maintains an active research program with numerous collaborations, particularly with researchers like Yanwei Fu, Bin Li, and Yu-Gang Jiang. Professor Xue's research interests focus on advancing computer vision through innovative approaches to object-centric representation learning, 3D scene understanding, and multi-modal learning. His recent work explores the integration of large vision-language models with 3D understanding, diffusion models for data synthesis, and brain-inspired approaches to robotic scene understanding. His research bridges theoretical advances with practical applications in robotics, autonomous systems, and security. Analysis of his recent publications (2023-2026) reveals a strong trend toward multi-modal learning, with increasing integration of vision-language models, 3D understanding, and diffusion-based generation techniques. His work shows a progression from traditional computer vision problems toward more complex, embodied AI challenges that require understanding of both visual scenes and their semantic interpretations. Key themes include object-centric representations, cross-modal alignment, and the application of these techniques to robotics and security domains. Professor Xue has mentored numerous researchers through collaborative projects, with extensive co-authorship indicating a strong advising presence. His work spans multiple funding areas including NSF-supported research in computer vision, AI security, and robotics applications. His publications appear consistently in top venues including CVPR, ICCV, ECCV, AAAI, and IEEE TPAMI. His research group appears to focus on computer vision and machine learning, with particular emphasis on object-centric scene understanding, 3D reconstruction, and person re-identification systems. The team works at the intersection of theoretical computer vision and practical applications, with projects spanning autonomous driving, robotics, security systems, and human-computer interaction. Recent work suggests active exploration of large vision-language models and their integration with 3D scene understanding.

• Computer Vision
• Machine Learning
• Pattern Recognition
• +6 more

Benjamin Ruppik is a researcher at the Chair of Algebraic Geometry within the Faculty of Mathematics and Natural Sciences at Heinrich-Heine-Universität Düsseldorf. His work bridges pure mathematics and applied machine learning, focusing on topology-driven approaches to computational problems. He holds a PhD (2022) and a Master's in Mathematics (2018), with expertise in low-dimensional topology and its intersections with natural language processing and dialogue systems. Research Interests Algebraic Geometry 4-Manifold Topology and Homotopy Classification Applications of Topology in Machine Learning Dialogue Systems and Emotion Recognition Active Learning and Label Correction Recent Research Trends Ruppik's recent articles emphasize integrating topological methods into machine learning frameworks, particularly in analyzing latent spaces of language models and enhancing dialogue systems with emotion-aware components. His work on 4-manifold classification demonstrates foundational contributions to geometric topology. Awards and Grants No specific awards or grants mentioned in the provided text. Labs and Collaborations Part of the Chair of Algebraic Geometry at HHU, collaborating on projects merging pure mathematics with computational applications.

• Algebraic Geometry
• Low-Dimensional Topology
• Machine Learning
• +3 more

Lukas Kühne is an Assistant Professor (Juniorprofessor) at Bielefeld University's Faculty of Mathematics. His research focuses on the intersection of combinatorics, algebra, and geometry, with specializations in hyperplane arrangements, matroids, polytopes, and computational methods. He actively contributes to software development for combinatorial mathematics, including the Oscar module for matroids and the CountingChambers.jl package. Education: PhD from Hebrew University of Jerusalem (2017-2020), Master's from University of Bonn (2014-2017), and Bachelor's from TU Kaiserslautern (2011-2014). His work has been supported by grants such as DFG SPP 2458 and SFB-TRR 358. Research interests include experimental methods in combinatorics, geometric realizability of matroids, and applications of discrete mathematics in algebraic geometry. Recent work explores simpliciality in arrangements, cosmological polytopes, and algorithmic approaches to hyperplane arrangement properties. Teaching responsibilities include courses on Linear Algebra, Discrete Mathematics, and Finite Reflection Groups. He organizes conferences such as the 'Dive into Research: Simpliciality in Arrangements and Matroids' and has participated in international workshops on combinatorial algebraic geometry.

• Combinatorics
• Algebraic Geometry
• Hyperplane Arrangements
• +4 more

Dr. Vladimir Golkov is a Postdoctoral Researcher at the Technical University of Munich (TUM) within the School of Computation, Information and Technology, specifically in Informatics 9 (Computer Vision Group). He works under the supervision of Prof. Dr. Daniel Cremers and maintains an active research profile in deep learning applications for medical imaging and biomedical data analysis. His primary research interests focus on deep learning since 2014, with specialization in high-dimensional and geometric data structures, data-processing goals beyond supervised learning (including clustering and anomaly detection), and applications in biomedicine and physics. Dr. Golkov has successfully mentored students who have gone on to pursue PhD studies at prestigious institutions including TUM, LMU, Mila, ETHZ, Cambridge, and Stanford. Analysis of his recent publications reveals a strong trend toward medical imaging applications, particularly in MRI technology, where he combines deep learning approaches with traditional physics-based methods. His work frequently bridges the gap between theoretical machine learning advances and practical medical applications, with significant contributions to diffusion MRI, sequence optimization, and 3D data processing. He has also expanded into emerging areas including large language models for medical applications and equivariant deep learning architectures. Dr. Golkov receives grant support from the Deutsche Telekom Foundation and maintains an active publication record with numerous contributions to leading conferences including ISMRM, MICCAI, and NeurIPS workshops. His research demonstrates a consistent trajectory of innovation at the intersection of computer vision, deep learning, and biomedical applications. He is actively involved in teaching and mentoring, with students from his projects advancing to top PhD programs worldwide. His office is located at Boltzmannstrasse 3, 85748 Garching, Germany (Office: 02.09.061), and he can be contacted at vladimir.golkov@tum.de.

• Deep Learning
• High-Dimensional Data
• Geometric Data
• +6 more

Julien Baste is an Associate Professor at the University of Lille, France, since September 2020. He teaches computer science at IUT de Lille (Institut Universitaire de Technologie de Lille) and conducts his research as a member of the ORKAD research team within CRIStAL (Centre de Recherche en Informatique, Signal et Automatique de Lille). Dr. Baste's research interests focus on theoretical aspects of computer science, particularly in Algorithms, reductions, graph theory, parameterized complexity, diversity, and multi-objective optimization. His work bridges theoretical foundations with practical applications, especially in optimization problems related to graph structures and computational complexity. An analysis of his recent publications reveals a consistent trajectory in parameterized algorithms and graph theory. His work frequently addresses problems parameterized by treewidth, developing fixed-parameter tractable algorithms for various graph problems. He has made significant contributions to understanding the complexity of graph modification problems, matchings, domination problems, and hitting set problems. His research has increasingly incorporated applications in areas like selective deconstruction and optimization of industrial processes, demonstrating the practical relevance of his theoretical work. Dr. Baste maintains an active research presence through numerous conference participations and collaborations with researchers across Europe. His research profile shows regular publication in top-tier theoretical computer science venues including SODA, IPEC, WG, and various IEEE conferences. The ORKAD research team at CRIStAL provides the institutional context for his ongoing research activities in algorithms and optimization.

• Algorithms
• Graph Theory
• Parameterized Complexity
• +3 more

Professor Christoph Thäle is a faculty member in the Faculty of Mathematics at Ruhr-Universität Bochum . His research focuses on stochastic geometry, geometric probability, limit theorems for random structures, and applications of Malliavin calculus and Stein's method. He has supervised numerous PhD and master's students, including Tristan Schiller, Nils Heerten, and Kathrin Meier. His work bridges theoretical probability with geometric analysis, particularly in high-dimensional spaces. Research Interests: Stochastic Geometry, Convex Geometry, Limit Theorems, Random Structures in High Dimensions Team Members: Postdocs (Panagiotis Spanos, Ercan Sönmez), PhD students (Philipp Tuchel, Bahareh Yousefi), and collaborators like Anna Gusakova and Zakhar Kabluchko. Key contributions include studies on random polytopes, Poisson hyperplane tessellations, and geometric analysis in hyperbolic spaces. His recent publications (2023–2025) explore intersection probabilities, radial spanning trees, and large deviations in high-dimensional settings. Thäle's research has been supported by collaborations with institutions like the University of Duisburg-Essen and the University of Osnabrück.

• Stochastic Geometry
• Geometric Probability
• Limit Theorems
• +4 more