Tensor-Structured Matrices Professors and Supervisors

Peter Münchمشاهده پروفایل

پژوهشگر

Technical University of Berlin (TU Berlin)Germany

Peter Münch is a postdoctoral researcher at the Chair of Numerical Methods for Partial Differential Equations within the Institute of Mathematics at Technical University of Berlin (TU Berlin), Faculty II - Mathematics and Natural Sciences. He has held research positions at Uppsala University, University of Augsburg, Helmholtz-Zentrum Hereon, and Technical University of Munich. Dr. Münch's research focuses on high-performance scientific computing with expertise in matrix-free computations, dynamic sparse communication patterns, node-level optimization, iterative solvers including multigrid and block preconditioners, and efficient algorithms for high-dimensional partial differential equations. His work spans discontinuous Galerkin methods, computational fluid dynamics, and simulation of additive manufacturing processes including solid-state sintering and melt-pool modeling. He is one of the principal developers of the deal.II finite-element library, which won the SIAM/ACM Prize in Computational Science and Engineering in 2025. His recent publications demonstrate significant contributions to matrix-free finite element methods, multigrid solvers, and applications in computational fluid dynamics and materials science. The research shows a strong trend toward high-performance implementations of numerical methods for extreme-scale computing, with particular emphasis on matrix-free approaches that avoid explicit storage of large sparse matrices. SIAM/ACM Prize in Computational Science and Engineering 2025 (for deal.II) Dr. Münch has supervised numerous student projects including Master's theses, Bachelor's theses, and term papers on topics ranging from immersed boundary methods to high-order discontinuous Galerkin methods. His teaching activities include courses on Numerical Methods for ODEs, PDEs, and High-Performance Parallel Computing. He has contributed to multiple deal.II tutorial programs (steps 19, 68, 75, 76, 87) demonstrating advanced finite element techniques. As a principal developer of the deal.II finite element library, Dr. Münch is actively involved in the open-source scientific computing community, contributing to one of the most widely used finite element frameworks in computational science and engineering. His GitHub profile shows consistent contributions to deal.II and related projects, with significant activity in 2025.

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Ellen Kirkmanمشاهده پروفایل

استاد

Wake Forest UniversityUnited States

Ellen Kirkman is a Professor of Mathematics at Wake Forest University in the College of Arts and Sciences. Her research spans noncommutative algebra, representation theory, and homological algebra, with significant contributions to Hopf algebras and Artin-Schelter regular algebras. She has authored 55 peer-reviewed publications and serves as a Fellow of the American Mathematical Society. Education: Ph.D. in Mathematics, M.S. in Statistics from Michigan State University Dr. Kirkman’s work explores quantum algebraic structures, including Drinfeld doubles, Taft algebras, and reflection groups. Her publications analyze homological properties, invariant theory, and geometric interpretations of noncommutative rings. Recent articles focus on tensor representations, McKay matrices, and degree bounds under Hopf actions. She has held leadership roles as Graduate Program Director (2009-2017), Judicial Council member (2000-2010), and Co-chair of the Honor and Ethics Council. Awards include the Donald O. Schoonmaker Faculty Award for Community Service (2007), MAA Distinguished Service Award (2012), and AWM Distinguished Service Award (2022). She serves on the Board of Directors of the EDGE Foundation since 2014.

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Rob Eggermontمشاهده پروفایل

استادیار

Eindhoven University of TechnologyNetherlands

Rob Eggermont is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), specializing in the Discrete Algebra and Geometry research group. His work focuses on finiteness properties in infinite-dimensional algebraic settings with symmetry, connecting algebraic geometry, representation theory, and combinatorics. His research has significant applications in fields including phylogenetics, chemistry, and algebraic statistics. Education: MSc in Mathematics from Leiden University (2011), cum laude PhD from Eindhoven University of Technology (2015), cum laude Rob Eggermont's research centers on how algebraic structures with symmetry maintain finiteness properties even in infinite-dimensional settings. His work on topological noetherianity demonstrates that in systems with sufficient symmetry, problems involving millions of variables can be as tractable as those with only a few variables. This has profound implications for computational algebra and geometric modeling. His research group plays a leading role in algebraic graph theory, finite and incidence geometry, and discrete Lie theory. An analysis of his recent publications (2017-2025) reveals a consistent focus on polynomial representations, GL-varieties, and symmetric matrix structures. His work frequently explores how finiteness properties emerge in infinite-dimensional settings through symmetry constraints. Collaborations with Jan Draisma and other mathematicians form a significant portion of his output, indicating strong research networks in algebraic geometry and representation theory. Scientific Awards: Jong Talent Aanmoedigingsprijs (2007) - awarded to the best first-year mathematics student at Leiden University Veni grant 016.Veni.192.113 from the Netherlands Organization for Scientific Research (NWO) Dr. Eggermont has secured research funding through competitive grants and has participated in numerous international workshops and conferences, including the AIM workshop on 'Representation stability' (San Jose, 2016) and the BIRS workshop on 'Free Resolutions, Representations, and Asymptotic Algebra' (Banff, 2016). His research group actively contributes to the DIAMANT symposium and the Intercity Number Theory Seminar. Within the Discrete Algebra and Geometry group at TU/e, Eggermont collaborates with colleagues on advancing the theoretical foundations of algebraic structures with symmetry. His work has helped establish connections between representation theory, combinatorics, and practical applications in scientific computing.

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FAIK BABADAĞمشاهده پروفایل

دانشیار

Kırıkkale UniversityTurkey

Algebra
Number Theory
Quantum Calculus
+۶ مورد دیگر

Associate Professor Faik Babadağ is affiliated with the Faculty of Engineering and Natural Sciences in the Department of Mathematics , specializing in Algebra and Number Theory . His research focuses on advanced mathematical structures, including number sequences, quaternions, and dual spaces, with applications in quantum calculus and differential geometry. Recent publications highlight his work on Tessarine numbers , split quaternions , and Bicomplex matrices , integrating quantum calculus and polar representations. Articles from 2023–2025 explore connections between number theory, matrix analysis, and geometric transformations in semi-Euclidean and dual spaces. While no specific awards or student advising details are provided in the text, his contributions to mathematical sciences are evident through his extensive publication record and collaborations in specialized fields.

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Necati Olgunمشاهده پروفایل

استاد

Gaziantep UniversityTurkey

Necati Olgun is a Professor in the Department of Mathematics at Gaziantep University, Faculty of Arts and Sciences. He has been serving at Gaziantep University since 2005, progressing through academic ranks from Research Assistant to Professor. His academic journey began with a Mathematics degree from Çukurova University, followed by a Master's and Doctorate in Mathematics from the same institution and Hacettepe University respectively. Professor Olgun's educational background includes: Bachelor of Science in Mathematics from Çukurova University (1990-1995) Master of Science in Mathematics with Thesis from Çukurova University (1995-1998) Doctorate in Mathematics from Hacettepe University (1999-2005) His research primarily focuses on Algebra and Number Theory, with specialized expertise in Neutrosophic Mathematics, Fuzzy Sets, and Mathematical Logic. Professor Olgun has made significant contributions to the understanding of Neutrosophic structures, Plithogenic sets, and their applications in various mathematical domains. His work bridges theoretical mathematics with practical applications in decision-making systems and computational models. His research has evolved from traditional algebraic structures to innovative frameworks incorporating neutrosophic logic, plithogenic sets, and fuzzy mathematics. Professor Olgun has received multiple scientific awards, including: TÜBİTAK Yayın Teşvik Ödülü in 2018 TÜBİTAK Yayın Teşvik Ödülü in 2015 TÜBİTAK Yayın Teşvik Ödülü in 2014 TÜBİTAK Yayın Teşvik Ödülü in 2012 Professor Olgun has supervised numerous graduate students, guiding 7 doctoral theses and 35 master's theses to completion. His research projects span both theoretical mathematics and applied domains, including 'High Order Universal Modules Fitting Ideals Investigation' and various educational initiatives like 'Easy Mathematics' projects aimed at improving mathematics education. He has served in administrative roles including Department Head, Institute Deputy Director, and Institute Management Board membership. His work has established him as a leading researcher in neutrosophic algebraic structures, with collaborations spanning multiple institutions and contributing to the development of new mathematical frameworks that extend classical algebra through neutrosophic logic.

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Bin Gaoمشاهده پروفایل

دانشیار

University of MünsterGermany

Bin Gao is an Associate Professor at the Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences. He holds a Ph.D. in Applied Mathematics (2019, University of Chinese Academy of Sciences) and a B.Sc. in Mathematics (2014, Sichuan University). His postdoctoral experience includes positions at UCLouvain (2019-2021) and the University of Münster (2021-2022). Research Interests: Riemannian optimization, tensor computation, parallel/distributed algorithms for orthogonality constraints, machine learning applications. Key Contributions: Development of retraction-free methods on Stiefel manifolds, preconditioned Riemannian algorithms, and geometric frameworks for symplectic eigenvalue problems. Article Trends: Recent work focuses on overcoming the curse of dimensionality via manifold-based optimization, including distributed algorithms for Stiefel manifolds, graph-regularized tensor completion, and second-order methods for symplectic structures. Keywords span numerical analysis, quantum information, and machine learning. Scientific Awards: 2021 Zhong Jiaqing Mathematics Award 2018 Best Student Paper Award (CSIAM) 2018 CAS Special President Scholarship 2017 National Scholarship for Doctoral Students (China) 2016 Honor Student Award (International Workshop on Modern Optimization and Application) Advising & Collaborations: Collaborates with researchers from UCLouvain, University of Münster, and AMSS. Mentors students in Riemannian optimization and tensor computation. Leads the popman research group.

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Attila Andaiمشاهده پروفایل

دانشیار

Budapest University of Technology and EconomicsHungary

Dr. Attila Andai is an Associate Professor at the Department of Geometry, Budapest University of Technology and Economics (BME). His academic career focuses on mathematical physics, particularly the differential geometry of finite-dimensional quantum state spaces and generalized uncertainty relations. Research areas include quantum mechanics, general relativity, functional analysis, and operator algebras Teaches Computational Methods in Physics and Vector Spaces in Physics for MSc students Research trends from his publications show expertise in: Quantum state space geometry Entanglement and separability probability Uncertainty principles with geometric interpretations Mathematical structures in Gödel-type universes His work combines abstract mathematical frameworks (tensor products, exterior algebras) with concrete applications in quantum information and relativistic physics.

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Claudiane Ouellet-Plamondonمشاهده پروفایل

استاد

École de Technologie SupérieureCanada

Claudiane Ouellet-Plamondon is a Full Professor in the Department of Construction Engineering at École de technologie supérieure (ÉTS), where she holds the Canada Research Chair on Sustainable Multifunctional Construction Materials. She directs research at the Pavements and Bituminous Materials Laboratory (LCMB) and collaborates with the Interdisciplinary Research Centre for Sustainable Development (CIRODD) and Water Engineering Laboratory (LGEPE). Her credentials include a Ph.D. from the University of Cambridge and postdoctoral training at ETH Zurich. Her research encompasses: Sustainable Materials: Geopolymers from industrial waste, bio-based composites, functionalized clays. Advanced Manufacturing: AI-optimized 3D concrete printing, robotic fabrication. Circular Economy: Valorization of bauxite residue, dredged sediments, and agricultural byproducts. Environmental Impact: Life cycle assessment, urban ecological footprint modeling, decarbonization strategies. She has received significant recognition, including the Mercator Fellowship (2024), France-Quebec Science Ambassadorship (2022), and Royal Society of Chemistry Award (2023). Her work integrates computational methods like neural networks for material design and machine learning for construction automation. Professor Ouellet-Plamondon supervises a large cohort of graduate students working on projects ranging from self-sensing alkali-activated materials to mycelium-based insulation. She maintains robust industry partnerships, particularly in aluminum recycling and sustainable infrastructure, and teaches courses on materials science and specialized engineering topics.

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