جست‌وجوی استاد و پژوهشگر

Amir Nayyeriمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Algorithms
• Computational Geometry
• +۳ مورد دیگر

Amir Nayyeri is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University, part of the College of Engineering. His research focuses on theoretical computer science, with particular emphasis on algorithms, computational geometry, and computational topology. He holds a PhD from the University of Illinois at Urbana-Champaign, following bachelor's and master's degrees from the University of Tehran. His work bridges theoretical foundations with applications such as shape matching, graph analysis, and topological data processing. He has advised numerous graduate students, including Mitchell Black (PhD 2024), Evelyn Warton (current PhD advisee), and William Maxwell (PhD 2021). Notable awards include the 2019 NSF CAREER Award. His research contributions span algorithmic advancements in surface-embedded graphs, minimum cuts, and Frechet distance calculations. He frequently serves on program committees for prestigious conferences like SODA, SoCG, and CCCG. Teaching includes courses on algorithms (CS325, CS515), graph theory (CS420/520), and computational geometry (CS519). His recent work explores applications of topology to Laplacian solvers and quantum algorithms, reflecting a commitment to advancing both theoretical and applied computer science.

• Computational Geometry
• Discrete Geometry
• Convex Optimization
• +۶ مورد دیگر

Francisco Criado is a researcher with significant contributions to computational geometry, discrete mathematics, and applied algorithm design. His work spans theoretical and applied domains, including convex optimization, Voronoi diagrams, and geometric modeling in gas dynamics and earthquake decision-making frameworks. Collaborators : Francisco Santos, Sebastian Pokutta, Michael Joswig Key Venues : Discrete & Computational Geometry , Foundations of Computational Mathematics , NeurIPS Research Interests focus on geometric algorithms, polyhedral complexes, and applications of fuzzy logic. His 2025 papers explore convex hulls, zonotopes, and tropical geometry, while earlier works address gas dynamics and decision-making models. Article Trends reveal expertise in high-dimensional geometry, combinatorial optimization, and numerical methods. He frequently employs randomized and linear convergence algorithms in 2022–2025. Advising and Grants : No explicit data provided, but his extensive co-authorship network suggests collaborative research leadership.

Ginestra Bianconiمشاهده پروفایل

استاد

• Statistical Mechanics
• Network Theory
• Mathematical Physics
• +۷ مورد دیگر

Professor Ginestra Bianconi holds the position of Professor of Applied Mathematics at Queen Mary University of London (QMUL) within the School of Mathematical Sciences. She is also an Alan Turing Fellow at the Alan Turing Institute. Her research focuses on statistical mechanics, network theory, and their applications to complex systems. Notably, she formulated the Bianconi-Barabási model describing Bose-Einstein condensation in networks and pioneered studies on higher-order networks, including simplicial complexes and multilayer networks. Her work bridges statistical mechanics with topology, geometry, and dynamical systems. Education and Career: Ginestra Bianconi earned her PhD in Physics from the University of Notre Dame under Albert-László Barabási. She has held postdoctoral positions at the International Center for Theoretical Physics (ICTP) and the University of Fribourg. She joined QMUL in 2013, progressing from Lecturer to Reader before becoming a full Professor in 2019. Research Interests: Her research spans statistical mechanics of networks, higher-order networks (simplicial complexes), multilayer networks, topological signals, and quantum phenomena on networks. She explores applications in biological networks, neuroscience, and condensed matter systems. Awards and Recognition: Awards include the APS Fellow distinction, Network Science Society Fellowship, and the 2023 Franqui Chair. She is Chief Editor of JPhys Complexity and serves on editorial boards of Scientific Reports and PLOS ONE . Grants and Funding: She has secured funding from EPSRC, the Royal Society, the Simons Foundation, and the Alan Turing Institute for projects on network science applications and theoretical challenges in complex systems. Group and Alumni: Her research group includes current PhD students and alumni who have contributed to fields like simplicial synchronization, network geometry, and multilayer dynamics. Notable alumni include Dr. Arda Halu (Harvard Medical School) and Dr. Jacopo Iacovacci (Imperial College). Labs and Collaborations: She leads research at QMUL’s School of Mathematical Sciences and collaborates with institutions like the Alan Turing Institute and the Francis Crick Institute on interdisciplinary projects.

Baltasar Enrique Beferull Lozanoمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Baltasar Enrique Beferull Lozano is a tenured Professor at the University of Agder , leading the Center Intelligent Signal Processing and Wireless Networks (WISENET) since 2015. With a PhD in Electrical Engineering from USC (2002) and prior roles at EPFL, AT&T Shannon Labs, and University of Valencia, his career spans 20+ years of academic and industrial research in signal processing, wireless systems, and AI. Education: PhD (USC), MSc (USC), MSc (University of Valencia) Expertise: Data Science, Machine Learning, Graph Signal Processing, Cyber-Physical Systems His research focuses on AI-driven wireless networks and in-network collective intelligence , addressing fundamental and applied challenges in smart water systems , energy management , and next-gen 5G/6G . He has secured 20+ international projects including 10 EU-funded initiatives (HYDROBIONETS, SENDORA) and 5 RCN-funded projects. Recent publications emphasize dynamic graph learning from time series data, quantized graph filters , and multi-agent reinforcement learning for networked environments. Awards include IEEE Best Paper Awards (2012, 2021), TOPPFORSK Grant (2015), and Ramón y Cajal Program Rank #1 (2005). As a Senior IEEE Member , he serves as Area Editor for IEEE Transactions on Signal Processing and evaluates research proposals for the European Commission , NSF , and Qatar National Research Fund . His lab has produced 15 PhD graduates and collaborates with 12+ industry partners including Telenor, IBM, and SINTEF.

Frédéric Meunierمشاهده پروفایل

استاد

• Combinatorics
• Operations Research
• Optimization
• +۳ مورد دیگر

Frédéric Meunier is a Professor at École Nationale des Ponts et Chaussées and a researcher at CERMICS (Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique). He holds an associate professorship at École Polytechnique. His research focuses on combinatorics, operations research, and topological combinatorics. He has contributed extensively to areas such as graph coloring, fair division, and optimization problems in logistics and transportation. Education: PhD in Applied Mathematics (2006), École Nationale des Ponts et Chaussées, advised by András Sebő Habilitation in Applied Mathematics (2012) Engineer degree from École Polytechnique (2001), specializing in Theoretical Physics Master in Optimization, Games, and Modelling in Economics (2002) Research Interests: Combinatorial optimization, topological methods in graph theory, fair division problems, scheduling algorithms, and applications to transportation systems. His work bridges discrete mathematics and real-world optimization challenges. Teaching: Offers courses in optimization, discrete mathematics, and topological combinatorics at École Nationale des Ponts et Chaussées, École Polytechnique, and other institutions. Recent courses include 'Discrete Optimization' and 'Topological Combinatorics.' Labs/Teams: Member of the Optimization team at CERMICS and collaborates with the Combinatorics and Optimization group at Institut de Mathématiques de Jussieu-Paris Rive Gauche. He organizes conferences like the 'SPO Séminaire Parisien d'Optimisation' and workshops on topological combinatorics.

Georg Lohoمشاهده پروفایل

استاد

• Discrete Geometry
• Topological Combinatorics
• Optimization
• +۴ مورد دیگر

Georg Loho is a Professor at Freie Universität Berlin (FU Berlin), acting head of the Discrete Geometry and Topological Combinatorics Group. Previously, he held an assistant professorship at the University of Twente (on leave since 2023). He specializes in discrete geometry, optimization, and algebraic combinatorics, with notable contributions to tropical geometry and machine learning. His research integrates geometric and combinatorial methods with applications in optimization and data science. Education: PhD in Mathematics (2017) from TU Berlin Diploma in Mathematics (2012) from Universität Würzburg Research Interests: Focuses on tropical geometry, discrete optimization, and their applications in machine learning. Explores geometric structures like oriented matroids, polytopes, and their connections to neural networks and algorithm design. Advocates for sustainability in research and education. Teaching: Leads courses on discrete geometry, mathematics & sustainability, and optimization. Active in educational innovation, including free open-source course materials and the MatchTheNet educational game on polytopes. Grants & Collaborations: Participated in the HIM Trimester Program (Bonn, 2021), substitute professorships (Kassel, 2020–2021), and multiple ERC-funded projects. Collaborates with institutions like the London School of Economics (LSE) and EPFL. Labs/Teams: Coordinates the Discrete Geometry and Topological Combinatorics research group at FU Berlin, fostering interdisciplinary projects in geometry, combinatorics, and optimization.

Konstantin Zuevمشاهده پروفایل

استاد آموزشی

• Statistical Data Analysis
• Network Data Analysis
• Machine Learning
• +۷ مورد دیگر

Konstantin Zuev is a Teaching Professor of Computing and Mathematical Sciences at the California Institute of Technology (Caltech), affiliated with the Division of Engineering and Applied Science. He holds dual Ph.D.s in Mathematics (Lomonosov Moscow State University) and Civil Engineering (Hong Kong University of Science & Technology). Zuev is also the Undergraduate Option Representative for Information and Data Sciences and Graduate Minor Advisor for the same field. His research focuses on statistical data analysis, network science, machine learning, and computational methods for complex systems. His teaching includes courses like Applied Linear Algebra, Probability Models, and Statistical Inference. Zuev has received multiple prestigious awards, including the 2023 ASCIT and GSC Teaching Awards, the 2021 Humboldt Research Fellowship, and the 2019 Northrop Grumman Prize for Excellence in Teaching. His work spans interdisciplinary topics such as financial market dynamics, epidemiological modeling, and academic curriculum analysis through network theory. Zuev’s research has been published in journals like *Proceedings of the National Academy of Sciences*, *Scientific Reports*, and *Physical Review E*. He is actively involved in consulting projects with organizations like Virtualitics, Inc., focusing on applications in healthcare and network analytics. Beyond academia, he advises student groups like the Caltech Chess Club and Karate Club, reflecting his passion for fostering community engagement and mentorship.

Gunnar Fløystadمشاهده پروفایل

استاد

• Algebraic Geometry
• Commutative Algebra
• Combinatorics
• +۳ مورد دیگر

Gunnar Fløystad is a Professor in the Department of Mathematics at the University of Bergen. His research focuses on algebraic geometry, commutative algebra, combinatorics, and category theory. 2025: Polarizations of Artin monomial ideals 2024: Submodular functions, generalized permutahedra, and hypergraph bialgebras 2023: Shift modules, profunctors, and dualities Fløystad has led TMS-funded projects on pure mathematics in Norway and organized workshops such as 'Category theory at work in computational mathematics and theoretical informatics' (2023) and 'Kategoriteori i Norge' (2025). He has taught courses in linear algebra, commutative algebra, history of mathematics, and calculus.

Zachary Nealمشاهده پروفایل

استاد

• Network Science
• Social Networks
• Computational Social Science
• +۷ مورد دیگر

Zachary Neal is a Professor in the Department of Psychology at Michigan State University , affiliated with the Social-Personality program. He is an active researcher in network science, with interdisciplinary work spanning psychology, sociology, education, and geography. He serves as editor of Global Networks and promotes open science through initiatives like the Recommendations for Sharing Network Data and Materials. Position: Professor Institution: Michigan State University Department: Psychology School: College of Social Science Email: zpneal@msu.edu Website: www.zacharyneal.com Bluesky: @zpneal.bsky.social His research focuses on networks , particularly ego networks, two-mode networks, and cognitive social structures. He emphasizes methodological rigor, open data practices, and the use of R for network analysis. He is also known for his work on childfree identity and public scholarship. The most recent publications reflect a strong commitment to open science, data sharing standards, network pedagogy, and interdisciplinary collaboration . Themes include network visualization (e.g., 'nutrition labels'), higher-order networks, and the social dynamics of research communities. His work bridges theoretical network science with practical applications in health, education, and policy. Scientific Recognition: SIPS 2025 Commendation for Recommendations for Sharing Network Data and Materials Editor, Global Networks Organizer of teaching initiatives in network science Zachary Neal is actively involved in mentoring students, promoting best practices in research, and securing collaborative grants related to network science and open scholarship. He contributes to the academic community through conference organization (e.g., Sunbelt), editorial work, and public engagement on social media. He leads research initiatives that often involve cross-institutional teams and open-source tools. He is associated with research groups and labs focused on computational social science, network analysis, and open research practices . His work on the Moral Minds Lab (via affiliation) and independent projects indicates leadership in teams that study social cognition and behavior through network lenses. Future work is likely to expand on data sharing frameworks, network teaching tools, and the social implications of network structures in diverse contexts.

• Algebraic Topology
• Category Theory
• Homotopy Theory
• +۴ مورد دیگر

Joachim Christian Kock is a Professor in the Department of Mathematics at Universitat Autònoma de Barcelona, where he is affiliated with the Laboratori d'interaccions entre geometria, àlgebra i topologia (LIGAT). His research focuses on the intersection of category theory, algebraic topology, and combinatorics. He received his Ph.D. (Doutor em ciências) from the Federal University of Pernambuco in 2000 and his Masters (Cand Scient) from Aarhus University in 1996. Following his doctorate, he held postdoctoral positions at prestigious institutions including Côte d'Azur University, KTH Royal Institute of Technology, and Caltech. Professor Kock's research primarily centers on decomposition spaces, operad theory, and higher category theory. His work establishes connections between combinatorial structures and homotopy theory, with significant contributions to the understanding of polynomial functors, groupoids, and bialgebras. He employs advanced categorical methods to explore fundamental structures in mathematics. His recent publications demonstrate a consistent focus on decomposition spaces and their applications across various mathematical domains. Kock has developed innovative approaches connecting combinatorial mathematics with higher categorical structures, particularly in the areas of operads and polynomial functors. His collaborative work spans multiple institutions and research groups across Europe. Professor Kock has received research funding from the Spanish Ministry of Economy and Competitiveness (MINECO) and the European Regional Development Fund (FEDER) for multiple projects, including 'Teoría de homotopía de estructuras algebráicas' and 'TEORIA DE HOMOTOPIA DE ESTRUCTURAS COMBINATORIAS Y ALGEBRAICAS.' He is actively involved in supervising graduate students and has mentored at least three students according to institutional records. His research group participates in international collaborations with institutions in France, Sweden, and the United States.

• Computational Mechanics
• Numerical Methods (Meshfree/XFEM/Isogeometric)
• Mixed Variational Methods
• +۳ مورد دیگر

Jack HALE is a Research Scientist at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), Department of Engineering. He joined Prof. Stéphane Bordas' team in 2013, focusing on computational mechanics and numerical methods. His work integrates advanced techniques like meshfree methods, XFEM, and isogeometric analysis to address challenges in solid mechanics and high-performance computing. Education : PhD in Aeronautics, Imperial College London (2009-2013), supervised by Dr. Pedro M. Baiz Villafranca. MEng in Engineering, University of Bristol (2004-2008). Research exchange at Rice University (2006-2007) on cross-flow filtration processes. Research Interests : Implicit boundary methods for medical image-based simulations. Development of scalable meshfree/XFEM/isogeometric analysis frameworks. Mixed variational methods to resolve locking phenomena in solid mechanics. High-performance computing for distributed parallel systems. Publications & Software : His 50+ publications emphasize open-access research via ORBilu, with a focus on FEniCSx-based tools (e.g., DOLFINx, FEniCS-shells). Recent work addresses Bayesian model selection, melt instability identification, and SAR data assimilation in aquifer modeling. Collaborations : Open to academic/industrial partnerships in computational mechanics, material science, and biomedical engineering.

Atabey Kaygunمشاهده پروفایل

استاد

• Topology
• Geometry
• Algebra
• +۶ مورد دیگر

Prof. Dr. Atabey Kaygun is a full-time Professor at the Department of Mathematics within the Faculty of Letters at Istanbul Technical University. His primary research focuses on pure mathematics including Topology, Geometry, Algebra, and Number Theory, with significant contributions to applied fields like Topological Data Analysis and Quantum Algebra. He holds a PhD from Ohio State University and has held academic positions internationally including at Bahçeşehir University, Max Planck Institute for Mathematics, and the University of Buenos Aires. Research Interests: Prof. Kaygun's work bridges theoretical mathematics with computational applications. His core expertise includes: Algebraic topology (Cyclic Homology, Hochschild Cohomology) Quantum algebra (Hopf algebras, Quantum Groups) Computational topology (Persistent Homology, Topological Data Analysis) Interdisciplinary applications in machine learning and Ottoman historical analysis Publication Trends: His recent articles (2018-2024) demonstrate a dual focus: Theoretical developments in noncommutative geometry and quantum algebras Applied computational methods for topological data analysis and historical text mining Emerging work in educational data mining and stochastic process classification Research Projects & Advising: He leads projects funded by Istanbul Technical University's BAP program: Lefschetz Numbers and Cartan Determinant Conjecture (2022-2024) Dold-Kan Theorem for Crossed Simplicial Groups (2021-2022) Relationships between Topological Data Analysis and Machine Learning (2020-2022) Currently supervising 14 graduate theses in mathematics and computational methods.

Martin R Bridsonمشاهده پروفایل

استاد

• Geometric Group Theory
• Low-Dimensional Topology
• Spaces of Non-Positive Curvature
• +۳ مورد دیگر

Martin R Bridson is the Whitehead Professor of Pure Mathematics at the University of Oxford's Mathematical Institute and President of the Clay Mathematics Institute. He has held these positions since returning to Oxford in 2007 and October 2018, respectively. Previously, he served as Head of Oxford's Mathematical Institute from 2015 to 2018 and held a Chair in Pure Mathematics at Imperial College London. His educational background includes undergraduate studies at Hertford College (BA 1986) and graduate work at Cornell University (MS 1988, PhD 1991). He was an Assistant Professor at Princeton University and a Tutorial Fellow at Pembroke College, Oxford, before holding the title of Professor of Topology at Oxford until 2001. Professor Bridson's research focuses on geometric group theory, low-dimensional topology, and spaces of non-positive curvature. His work explores diverse encapsulations of symmetry, quantifications of complexity, and notions of curvature as unifying themes. He has made significant contributions to understanding the connections between geometry, topology, and group theory, particularly through his influential book "Metric Spaces of Non-Positive Curvature" with A. Haefliger, which won the 2020 Steele Prize. His recent publications show a strong focus on profinite completions of groups, subgroup separability, and the connections between geometric group theory and 3-manifold topology. His work has increasingly addressed algorithmic and decision problems in group theory, demonstrating how geometric methods can solve deep theoretical questions. His honors include: Whitehead Prize of the London Mathematical Society (1999) Forder Lectureship of the New Zealand Mathematical Society (2005) Royal Society Wolfson Research Merit Award (2012) Steele Prize of the American Mathematical Society (2020) Elected Fellow of the Royal Society (FRS) (2016) Elected Fellow of the American Mathematical Society (2015) Elected Fellow of the Academy of Europe (2020) Abel Prize Lecture in Oslo (2009) Erwin Schroedinger Lecture in Vienna (2011) Invited Speaker at the International Congress of Mathematicians (2006) Professor Bridson has advised numerous doctoral students who have gone on to prominent positions at institutions worldwide, including Dani Wise at McGill, Henry Wilton at Cambridge, and Dawid Kielak at Oxford. His research has been supported by various grants, including a Royal Society Wolfson Research Merit Award. He is actively involved in the mathematical community through seminars including the Groups and Geometry in the South East, and various Oxford seminars on Geometric Group Theory, Topology, Geometry and Analysis, and Algebra.

Christoph Böhmمشاهده پروفایل

استاد

• Differential Geometry
• Geometric Evolution Equations
• Ricci Flow
• +۸ مورد دیگر

Christoph Böhm is a Professor at the Mathematical Institute, Department of Mathematics and Computer Science, University of Münster, Germany. He is a principal investigator in the Collaborative Research Center CRC 1442 "Geometry: Deformations and Rigidity" and a key member of the Excellence Cluster Mathematics Münster. His research lies at the intersection of differential geometry, geometric analysis, and dynamical systems, with a focus on Ricci flow, Einstein metrics, and geometric evolution equations. Research Interests: His work primarily explores Differential Geometry with deep focus on Ricci Flow , Homogeneous and Cohomogeneity-One Spaces , Einstein Manifolds , and Curvature Analysis . He investigates the long-term behavior of geometric flows, rigidity phenomena, and the interplay between symmetry and curvature. His projects such as "Geometric evolution equations" (CRC 1442 - B02) and "Harmonic maps and symmetry" (CRC 1442 - B04) reflect his interest in geometric PDEs under symmetry assumptions. He also contributes to understanding singular spaces and irregular gradient flows in geometric contexts. The recent publications highlight a consistent trend in homogeneous Ricci flows , non-compact Einstein manifolds , and scalar curvature behavior . These works demonstrate a strong emphasis on classification, existence, and optimal estimates in geometric evolution, often leveraging group actions and symmetry. The subfields span geometric PDEs, Lie group geometry, and variational methods. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: While no formal students are listed, Böhm has extensive collaborative research with mathematicians such as Ramiro Lafuente, Burkhard Wilking, Timothy Buttsworth, and Brian Clarke. He is actively involved in major funded projects including CRC 1442 (B02, B04), EXC 2044 (B1, C4), and a project on dynamical systems and irregular gradient flows. These grants support his research in geometric analysis and its connections to topology and mathematical physics. Labs and Teams: Böhm is part of the research group in differential geometry at the University of Münster, collaborating closely with Prof. Burkhard Wilking. He contributes to the broader Mathematics Münster cluster, which fosters interdisciplinary research in geometry, analysis, and topology. His work is integrated into a vibrant research environment focused on "Groups and actions", "Curvature, shape, and global analysis", and "Singularities and PDEs".

• Computational mathematics
• Geometric integration
• Lie theory
• +۶ مورد دیگر

Hans Munthe-Kaas is a Professor of Mathematics at the University of Bergen, where he is also the Center Manager of the Lie-Størmer Center. He serves as Editor-in-Chief of Foundations of Computational Mathematics and President of the Norwegian Mathematical Society. Additionally, he is a member of the scientific advisory committee for the Trond Mohn Foundation and project leader for the RCN-Fripro project CODYSMA. His research focuses on computational mathematics, particularly geometric integration, Lie theory, differential geometry, algebra and combinatorics. Munthe-Kaas investigates algebras of connections on manifolds, combinatorics for formal solutions of dynamical systems, and structure-preserving discretizations. His work bridges pure and applied mathematics with computer science, with an emphasis on mathematical abstractions in computational science as tools for constructing efficient algorithms. Analysis of numerical Lie group integrators has led him to develop Lie-Butcher theory, which combines classical B-series for integration schemes with Lie series. This research connects to control theory, stochastic differential equations, renormalization, combinatorial Hopf algebra theory, and non-commutative symmetric functions. His publications show a consistent focus on geometric integration methods, with recent work exploring post-Lie algebras, aromatic B-series, and integration on symmetric spaces. Esso prize in 1999 for PhD work Munthe-Kaas has led significant research projects including the Lie-Størmer Center and CODYSMA. His work in computational mathematics has applications in numerical linear algebra, parallel algorithms, and fast elliptic solvers. He has also contributed to multivariate Chebyshev polynomials for spectral element methods based on triangular and simplicial domains. He is active in research groups including Applied and Computational Algebra and has been instrumental in developing coordinate-free formulations for numerical algorithm design through projects like SOPHUS. His DiffMan Matlab toolbox implements these ideas for solving differential equations on manifolds.