جست‌وجوی استاد و پژوهشگر

Marcus Michelenمشاهده پروفایل

استادیار

• Probability
• Combinatorics
• Statistical Physics
• +۷ مورد دیگر

Marcus Michelen is an Assistant Professor in the Department of Mathematics, Statistics, and Computer Science at the University of Illinois, Chicago (UIC), within the College of Liberal Arts and Sciences. He earned his Ph.D. in Mathematics from the University of Pennsylvania in 2019 under Robin Pemantle and completed his undergraduate studies at The Cooper Union with a B.S.E. in General Engineering and a minor in Mathematics. He began at UIC as a postdoc in 2019 and transitioned to Assistant Professor in 2021 through the Bridge-to-Faculty program. His research lies at the intersection of probability, combinatorics, statistical physics, and theoretical computer science , with recent work focusing on random matrices, random polynomials, sphere packing, and Gibbs point processes. He frequently uses complex- and Fourier-analytic techniques in discrete settings. His research is supported by an NSF CAREER grant (DMS-2336788) and other NSF awards. His most recent publications explore topics such as lower bounds in Ramsey theory, root separation in random polynomials, gossip propagation via percolation, and limits in sphere packing. These works appear in top journals like the Journal of the American Mathematical Society , Probability Theory and Related Fields , and Combinatorics, Probability and Computing , reflecting a strong trend toward probabilistic methods in combinatorial and geometric problems. NSF CAREER Grant DMS-2336788 Penn Prize for Excellence in Teaching by Graduate Students (2016) Herbert S. Wilf Memorial Award University of Pennsylvania Math Department Good Teaching Awards (2015, 2016) Marcus advises one master’s student and three Ph.D. students and has mentored undergraduate research in mathematics and origami. He has taught courses ranging from Calculus III to graduate-level combinatorics and probability. He was featured in the 2024 Lathisms Calendar and has contributed to public understanding of mathematics through Quanta Magazine and La Recherche .

• Stochastic Programming
• Mathematical Modeling
• Financial Mathematics
• +۷ مورد دیگر

Prof. habil. dr. Leonidas Sakalauskas is an Affiliated Scientist at the Smart Technologies Research Group within the Institute of Data Science and Digital Technologies at Vilnius University. His extensive research career spans mathematical modeling, stochastic programming, and statistical analysis with significant contributions across multiple disciplines. He maintains an active research profile with recent publications extending into 2025. Professor Sakalauskas' research focuses on stochastic programming, mathematical modeling, financial mathematics, statistical analysis, optimization, and queueing theory. His work demonstrates a consistent pattern of interdisciplinary research, bridging theoretical mathematics with practical applications in finance, social sciences, and computer science. He has developed innovative approaches to agent-based modeling, fractal analysis, and Monte Carlo methods, contributing significantly to both theoretical frameworks and practical implementations. His recent publications reveal a continuing evolution of research interests, with increasing emphasis on data science applications, computational social science, and advanced statistical modeling techniques. The articles demonstrate sophisticated methodological approaches to complex problems across diverse domains including financial modeling, social cohesion analysis, and network performance optimization. Throughout his career, Professor Sakalauskas has maintained a strong publication record in high-impact journals and conference proceedings, reflecting his ongoing engagement with the international research community. His work shows consistent methodological rigor combined with practical relevance across multiple application domains. Professor Sakalauskas has collaborated extensively with researchers across Lithuania and internationally, demonstrating strong teamwork and interdisciplinary engagement. His research has practical applications in financial modeling, social science analysis, and computational systems optimization, contributing to both theoretical advances and real-world implementations.

François Dubeauمشاهده پروفایل

دانشیار

• Mathematical Modeling
• Optimization
• Numerical Analysis
• +۶ مورد دیگر

François Dubeau serves as an Associate Professor in the Department of Mathematics at the University of Sherbrooke, where he maintains an active research program bridging theoretical mathematics with practical applications across diverse scientific domains. Education: B. Sc. A. Génie physique, École Polytechnique de Montréal (1971) M. Sc. A. Génie industriel, École Polytechnique de Montréal (1973) B. Sc. Mathématiques, Université de Montréal (1975) Ph. D. Mathématiques, Université de Montréal (1981) Postdoctoral Fellowship, Université de Montréal (1981-1982) Research Interests: Professor Dubeau's work centers on mathematical modeling with emphasis on optimization, numerical analysis, functional analysis, and geometric methods. His current investigations span computational geometry, quantum mechanics applications, and analytical modeling of shapes. Recent publications demonstrate innovative approaches to rotation theory, reflection methods, and numerical differentiation, often revealing unexpected connections between classical mathematics and modern computational challenges. Publication Trends: Analysis of his 2014-2025 publications reveals three dominant thematic clusters: geometric transformations (rotations/reflections for π and ln(2) computation), quantum information frameworks (qubit operations and unitary operators), and optimization techniques (multi-criteria linear programming and convergence acceleration). His work consistently demonstrates how fundamental geometric and algebraic principles solve contemporary problems in physics, epidemiology, and materials science. Scientific Awards: No specific awards documented in available sources Advising and Grants: While formal student lists aren't provided, his methodological publications suggest extensive mentorship in numerical analysis and mathematical modeling. Current research directions indicate ongoing grant activity in geometric computation and quantum applications, though specific funding sources aren't detailed in the source material. Research Environment: Professor Dubeau's work appears conducted within the Department of Mathematics' theoretical research ecosystem, with evident cross-disciplinary collaborations in physics (quantum mechanics) and engineering (metallurgy applications), though no dedicated laboratory or formal research team is specified.

• Algebraic Combinatorics
• Enumerative Combinatorics
• Geometric Combinatorics
• +۷ مورد دیگر

Christian Stump is a Professor for Algebraic Combinatorics at the Ruhr-Universität Bochum since 2018 and coordinator of the DFG priority program Combinatorial Synergies . His research focuses on algebraic and geometric combinatorics , particularly in Coxeter groups, cluster algebras, noncrossing partitions, and hyperplane arrangements. He leads the Research Team Stump and collaborates with institutions like Goethe-Universität Frankfurt and Universitat de Barcelona. Research interests: Algebraic Combinatorics, Cluster Algebras, Coxeter Groups, Subword Complexes, Noncrossing Partitions Current projects: Machine learning combinatorial statistics, Combinatorial Polytope Theory His recent work includes studies on non-crossing partitions , Hodge filtrations for reflection groups, and central limit theorems for permutation statistics. He has supervised PhD students in topics ranging from brick polyhedra to matroid complexes and contributed to computational tools like the FindStat database and SageMath . Scientific Awards : DFG Heisenberg Fellowship (2017-2018) Humboldt Research Award (2023) Simons Fellowship (2023) As a principal investigator , he has secured over €1.2 million in DFG grants, including leadership of the project "Combinatorial Polytope Theory" (2024) and coordination of the SPP2458 program. He actively contributes to editorial boards of Electronic Journal of Combinatorics and Combinatorial Theory , and organizes conferences like Formal Power Series and Algebraic Combinatorics (FPSAC) .

Myoungkyu Leeمشاهده پروفایل

استادیار

• High-Performance Computing
• Turbulent Flows
• Multiphysics Simulations
• +۳ مورد دیگر

Dr. Myoungkyu Lee is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Houston (2023–current). Previously, he served as an Assistant Professor at the University of Alabama (2022–2023) and held postdoctoral positions at Sandia National Laboratories (2018–2021) and the Oden Institute of Computational Science and Engineering (2016–2018). His research focuses on high-performance computing, thermal/chemical nonequilibrium flows, and direct numerical simulations of multiphysics turbulent flows. He earned his Ph.D. in Mechanical Engineering from the University of Texas at Austin (2015) and B.S. from Hanyang University (2008). Dr. Lee’s research integrates computational fluid dynamics, turbulence modeling, and high-performance computing to study wall-bounded flows, magnetohydrodynamic effects, and nonequilibrium phenomena. His work emphasizes spectral analysis, data-driven modeling, and advanced numerical methods for resolving complex fluid behaviors. Notable contributions include studies on Reynolds stress scaling, wall-pressure correlations, and stochastic forcing in turbulent flows. His awards include the Early Career Presenter Fellowship (2021) and a Best Student Paper Finalist at SuperComputing SC13 (2013). He has published extensively in journals like Journal of Fluid Mechanics and Physical Review Fluids , with over 30 peer-reviewed articles. His teaching includes courses on fluid dynamics and computational methods. Dr. Lee’s academic trajectory reflects a strong dedication to advancing computational turbulence research and fostering interdisciplinary collaborations in engineering and applied mathematics.

Richard Arratiaمشاهده پروفایل

استاد

• Probability
• Combinatorics
• Number Theory
• +۵ مورد دیگر

Richard Arratia is a Professor of Mathematics at the University of Southern California, affiliated with the College of Letters, Arts and Sciences and the Center for Applied Mathematical Sciences. His research focuses on discrete probability, combinatorics, and number theory, particularly the interplay between dependence and independence in probabilistic systems. Education : B.S. from Massachusetts Institute of Technology, Ph.D. from University of Wisconsin, Madison. His work explores approximations of probabilities for rare events, continuum limits of discrete systems (e.g., coalescing Brownian motions), and logarithmic combinatorial structures such as permutations with cycle decompositions and prime factorizations of integers. He has co-authored a foundational book on logarithmic combinatorial structures and published extensively on topics including Poisson approximation, random walks, symmetric exclusion processes, and interlace polynomials for graphs. His recent publications highlight applications of probabilistic methods to integer partitions, graph theory, and statistical analysis. Key themes include exact simulation techniques, graphical sequences, and connections between analytic number theory and probabilistic models. Professor Arratia serves as faculty advisor to Pi Mu Epsilon, the undergraduate mathematics honors society, and has contributed to research in probability asymptotics, logistic regression, and algebraic function fields.

Nathan Carterمشاهده پروفایل

استاد

• Mathematics Education
• Data Science
• Computer Graphics
• +۲ مورد دیگر

Nathan Carter is a Professor of Mathematical Sciences at Bentley University, blending computer science with mathematical education through innovative software tools and award-winning textbooks. His research focuses on visualization in abstract algebra, data science pedagogy, and educational technology development. Awards: Beckenbach Book Prize (2012, 2016) MAA Henry L. Alder Award for Distinguished Teaching Publications: Authored foundational texts including Visual Group Theory (2009), Mathematics of Computer Graphics (2016), and edited Data Science for Mathematicians (2020). These works facilitate the teaching of complex mathematical concepts through visual and computational approaches. Software Development: Creates open-source educational tools for mathematical logic and abstract algebra visualization, such as the proof-checking software Lurch. His work emphasizes bridging theoretical mathematics with practical computational skills.

• Algebraic Number Theory
• Modular Forms
• Elliptic Curves
• +۵ مورد دیگر

Dr Frazer Jarvis is a Professor in Pure Mathematics and Mathematics Programme Lead at the School of Mathematical and Physical Sciences, University of Sheffield. His research focuses on algebraic number theory, modular forms, elliptic curves, and Galois representations, with contributions to the Langlands Program and generalizations of Fermat's Last Theorem. He has held a grant from the EPSRC on modularity of elliptic curves over totally real fields. Research Interests: Dr Jarvis explores advanced topics in number theory, including the interplay between modular forms and elliptic curves, Galois representations, and arithmetic geometry. He investigates extensions of Fermat's Last Theorem to other fields and equations, leveraging techniques from algebraic geometry and representation theory. Publications span 20+ years, including work on isogenies, theta lifts, and combinatorial problems like Sudoku enumeration. Teaching responsibilities include modules like MAS111 Mathematics Core II and MAS369 Machine Learning. Member of the Number Theory research group at the University of Sheffield. His recent articles address cutting-edge questions in number theory, such as the modularity of elliptic curves, p-adic analysis, and applications to algebraic structures. He actively contributes to both theoretical advancements and pedagogical innovations.

• Cryptography
• Cryptanalysis
• Algebra
• +۴ مورد دیگر

Igor Aleksandrovich Semaev is a Professor at the Department of Informatics, University of Bergen. His research focuses on cryptography, cryptanalysis, algebra, and computational problems in finite fields. He has contributed to areas such as sparse equation systems, Gröbner bases, and algorithmic security. Position: Professor Affiliation: Department of Informatics, University of Bergen Research interests include cryptanalysis of symmetric-key systems (e.g., DES), combinatorial problems in cryptography, and polynomial system solving techniques. His work often bridges algebraic methods with cryptographic applications, addressing challenges like sparse equation solutions and algorithmic complexity. Key contributions include the analysis of LFSR-based stream ciphers, probabilistic methods for Macaulay matrices, and multidimensional linear cryptanalysis. His publications span from 2005 to 2024, reflecting sustained engagement with both theoretical and applied cryptography. Notable projects include funding from the Norwegian Research Council (Project 247742) for work on Gröbner basis complexity. While no awards are explicitly mentioned, his prolific publication record highlights academic recognition. He has advised collaborative projects but no named students are listed. His work intersects with labs or teams through institutional affiliations, though specific lab details are not provided.

Dehua Wangمشاهده پروفایل

استاد

• Nonlinear Partial Differential Equations
• Applied Mathematics
• Fluid Dynamics
• +۵ مورد دیگر

Dehua Wang is a Professor and Department Chair in the Department of Mathematics at the University of Pittsburgh , within the Dietrich School of Arts and Sciences. His research focuses on nonlinear partial differential equations (PDEs) and applied mathematics, with emphasis on fluid dynamics, conservation laws, magnetohydrodynamics, elastodynamics, and geometric analysis. He holds a PhD from the University of Chicago and a B.S. from Tsinghua University. Key research areas include the mathematical analysis of compressible fluid flows, hyperbolic conservation laws, and multiscale applications. He leads major NSF-funded projects, such as the NSF-EPSRC Collaborative Research on Stability Analysis (2022–2025) and the Multi-Dimensional Euler Equations FRG Project (2003–2007). He serves on editorial boards of journals like the Journal of Differential Equations and SIAM Journal on Mathematical Analysis . Dr. Wang has organized numerous workshops, including the 2023 Workshop on Nonlinear PDEs and the 2025 PDE Forum on Modeling and Analysis . His recent work addresses stability of shock waves, vortex sheets, and fluid-particle interactions. He collaborates internationally, with projects involving UK and Chinese institutions.

• Public Key Cryptography
• Algebra
• Discrete Logarithm Problem
• +۳ مورد دیگر

Professor Jens Zumbrägel has been Professor of Mathematics with a focus on Cryptography since 2017. His primary research interests include: Public Key Cryptography Algebra and its applications Discrete Logarithm Problem Post-Quantum Cryptography Codes over Rings Communication Technology Professor Zumbrägel emphasizes the practical applications of abstract mathematical concepts in encryption systems, noting that 'Numbers with hundreds of digits are used to protect confidential information or allow secure authentication.' He values interdisciplinary collaboration with computer science researchers, stating it 'has been a real benefit' and that 'It is always fascinating to see how abstract maths can be practically applied, like in the direct security analysis of encryption processes.' His research on the discrete logarithm problem forms a critical foundation for many public-key cryptosystems, while his recent work in post-quantum cryptography addresses emerging challenges posed by quantum computing advancements.

Monika Trimoskaمشاهده پروفایل

استادیار

• Cryptanalysis
• Post-Quantum Cryptography
• Multivariate Cryptography
• +۶ مورد دیگر

Monika Trimoska is an Assistant Professor at the Coding Theory and Cryptology group at Eindhoven University of Technology (TU/e) , where she has worked since 2023. Previously, she was a postdoc at Radboud University and obtained her Ph.D. in cryptography at the University of Picardie Jules Verne under the supervision of Gilles Dequen and Sorina Ionica. She has also served as a Teaching and Research Assistant at her alma mater. Current Affiliation: Assistant Professor, TU/e (2023–present) Previous Affiliations: Postdoc at Radboud University (2021–2023), Teaching/Research Assistant at University of Picardie (2017–2021) Research Interests revolve around cryptanalysis of post-quantum cryptosystems , focusing on multivariate , code-based , and isogeny-based systems. Her work bridges theoretical and practical security analysis, particularly through SAT solvers and fault injection attacks . Recent Publications demonstrate expertise in algebraic attacks against digital signature schemes like MQ-Sign and CSIDH , with a focus on code equivalence problems , trilinear forms , and parallel collision search . She has also contributed to homomorphic encryption applications. Teaching Activities include courses on Applied Number Theory and Algebra and guest lectures on isogeny-based cryptography at Radboud University. She has co-supervised multiple Ph.D. , Master’s , and Bachelor’s students. Technical Contributions include open-source tools like WDSat (SAT solver for Weil descent) and MCE (Matrix Code Equivalence implementations).

• 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.

• Algebraic Geometry
• Differential Equations
• Mirror Symmetry
• +۴ مورد دیگر

Thomas Reichelt is a Researcher at the University of Mannheim within the School of Business Informatics and Business Mathematics , focusing on Mathematics . His research bridges algebraic geometry, differential equations, and mirror symmetry, with a particular emphasis on Frobenius manifolds, Hodge theory, and hypergeometric systems. Current Projects : Mirror symmetry, irregular singularities, and tautological systems. Former Projects : SÉDIGA (2009–2012), SISYPH (2014–2016). Reichelt's work explores the intersection of algebraic structures and geometric phenomena, particularly in singular spaces and quantum models. His publications span topics like GKZ-systems, weight filtrations, and logarithmic degenerations, often involving collaborations with leading mathematicians such as Christian Sevenheck and Uli Walther. Recent papers address holonomic rank problems and Lyubeznik-type invariants. Scientific Awards : Emmy Noether Research Group Fellowship Reichelt's research group investigates the deep connections between algebraic geometry and mathematical physics, contributing to both theoretical frameworks and computational methods in D-module theory.

• Partial Differential Equations
• Stochastic Processes
• Probability
• +۳ مورد دیگر

Juraj Foldes serves as an Assistant Professor in the Department of Mathematics at the University of Virginia, specializing in the qualitative analysis of partial differential equations, stochastic processes, and probability theory. His research spans fluid dynamics, elliptic equations, and variational problems, with recent focus on stochastically forced Boussinesq systems, maximal entropy solutions for Euler equations, and qualitative properties of higher-order elliptic equations. This work bridges deterministic PDE theory with stochastic modeling, particularly in geophysical and mathematical physics contexts. Analysis of his publication record reveals a consistent emphasis on ergodicity, symmetry properties, and stability in nonlinear stochastic systems. Key themes include hypoelliptic diffusions, traveling wave solutions, and singular phenomena in equations modeling convection and chemotaxis, demonstrating interdisciplinary applications from atmospheric science to biological pattern formation.