جست‌وجوی استاد و پژوهشگر

Andrew Braggمشاهده پروفایل

دانشیار

• Turbulence
• Fluid Dynamics
• Theoretical Fluid Dynamics
• +۱۲ مورد دیگر

Andrew Bragg is an Associate Professor in the Department of Civil and Environmental Engineering at Duke University's Pratt School of Engineering. His research focuses on turbulence and fluid dynamics with applications in environmental systems, including atmospheric and oceanic flows, sediment transport, and climate modeling. Research Interests: His primary research areas include the physics and modeling of turbulence, theoretical and computational fluid dynamics, and applied mathematics. He investigates multiscale turbulent transport phenomena, especially in environmental contexts where unresolved scales challenge large-scale models. His work integrates statistical physics, high-performance computing, and collaboration with experimentalists. The recent publications (2024–2023) reflect a strong trend in understanding turbulence across environmental and engineered systems. Key themes include particle and scalar transport in stratified and wall-bounded flows, bubble-induced turbulence, surfactant effects, Lagrangian modeling, and subgrid-scale parameterizations for climate models. The research spans fundamental fluid mechanics to applied environmental engineering, often using advanced computational and theoretical frameworks. Scientific Awards: National Science Foundation CAREER Award (2021) EUROMECH Young Scientist Award (2017) Advising and Grants: While specific students are not listed, Dr. Bragg has secured competitive funding, notably the NSF CAREER award, indicating active mentorship and research leadership. He teaches graduate-level courses such as ME/CEE 634/688: Turbulence and CEE 690: Advanced Topics in Civil and Environmental Engineering, suggesting involvement in training the next generation of researchers. Labs and Teams: Dr. Bragg collaborates extensively with researchers across institutions and disciplines, including experimentalists and modelers in atmospheric science, mechanical engineering, and environmental engineering. His work is part of a broader effort to improve predictive models for environmental resilience and risk assessment.

Zachary Kincaidمشاهده پروفایل

دانشیار

• Program Analysis
• Logic
• Programming Languages
• +۷ مورد دیگر

Zachary Kincaid is an Associate Professor in the Department of Computer Science at Princeton University. His research focuses on program analysis , logic , and programming languages , with emphasis on making analysis compositional and robust . PhD, University of Toronto (2016) BSc, Western University Research Interests Dr. Kincaid develops algebraic program analysis frameworks combining symbolic methods with abstract interpretation. His work addresses challenges in: Compositional analysis of concurrent and recursive programs Termination analysis for loops with complex control flow Non-linear numerical invariant generation Strategy synthesis for logical games Parameterized program verification Publication Trends His research output spans program analysis (2024-2010), formal verification (2018-2010), concurrency (2016-2010), and automated synthesis (2013-2012). Recent work (2024) explores polynomial ideals and nonlinear ranking functions , while foundational contributions include vector addition systems and recurrence-based invariants . Scientific Engagement Dr. Kincaid contributes to the academic community through: Program Committee service (PLDI, POPL, CAV, IJCAI, LICS, FMCAD, ESOP, etc.) Co-developing the Duet analyzer for unbounded concurrency Collaborative work with leading researchers (Tom Reps, Azadeh Farzan, Jason Breck) Advising & Grants He advises PhD students and leads research funded by the ONR grant N00014-19-1-2318 . Current advisees include Jake Silverman and Shaowei Zhu, while former student Charlie Murphy (PhD 2023) now holds a postdoctoral position at University of Wisconsin-Madison. Labs & Teams Dr. Kincaid co-developed the Duet program analyzer and contributes to tools like Srk and SimSat . His work integrates SMT solvers (MathSAT, Z3) and mathematical frameworks (rational vector addition systems, recurrence relations) for robust program analysis.

Laurentiu-George Maximمشاهده پروفایل

استاد

• Topology of hypersurface singularities
• Intersection homology
• Perverse Sheaves
• +۴ مورد دیگر

Laurentiu-George Maxim is a Professor in the Department of Mathematics at the University of Wisconsin-Madison, where he maintains an active research program in singularity theory and algebraic topology. His academic appointments include regular participation in the topology and singularities seminar at UW-Madison and extensive international collaborations. University of Wisconsin-Madison, Department of Mathematics (current) Professor Maxim's research focuses on the topology of singular spaces, with particular expertise in hypersurface singularities, intersection homology, perverse sheaves, and characteristic classes. His work bridges pure mathematics with applications in algebraic geometry and topology. He has developed significant theoretical frameworks connecting singularity theory with Hodge theory, Alexander modules, and characteristic classes of singular varieties. His research demonstrates how topological methods can be used to understand complex algebraic structures with singularities. His publication record shows consistent output of high-impact work in singularity theory, with recent publications (2023-2025) covering weighted Ehrhart theory via mixed Hodge modules, geometry of aspherical manifolds, applications of singularity theory in algebraic statistics, and advanced studies of Hirzebruch-Milnor classes. His research demonstrates a clear progression from foundational work in intersection homology to more recent applications in optimization theory and computational aspects of singularity theory. Professor Maxim has received recognition through invitations to speak at major international conferences and through his leadership in organizing significant academic events. Organizer of the "Singularities in the Midwest" conference series (2010-2025) Organizer of the "Characteristic classes of singular spaces" conference celebrating Jörg Schürmann's 60th anniversary (Hangzhou, China, August 2024) Organizer of multiple international conferences in China, Romania, and Germany His academic service includes extensive conference organization, editorial work for conference proceedings, and leadership in the mathematical community through organizing workshops for young researchers in mathematics. Professor Maxim maintains active collaborations with mathematicians worldwide, particularly with colleagues in China, Romania, and Europe, reflecting the global nature of modern mathematical research.

Jim Renshawمشاهده پروفایل

دانشیار

• Algebraic semigroup theory
• Actions of semigroups and monoids on sets
• Actions of semigroups and monoids on ordered structures
• +۵ مورد دیگر

Jim Renshaw is an Associate Professor in the Mathematics department at the University of Southampton, where he conducts research in algebraic semigroup theory with particular emphasis on actions of semigroups and monoids on sets and ordered structures. Renshaw's primary research interests include: Algebraic semigroup theory and its applications Actions of semigroups and monoids on sets and ordered structures Semigroup amalgams and homological classification theory of monoids Flat covers and pre-covers of monoid acts Structure and actions of E-dense and E-inversive semigroups Discrete log problem and its connections with semigroup theory His publication record shows a clear progression in his research focus, beginning with foundational work on semigroup amalgams and flat covers of monoid acts, then expanding to investigate inverse semigroup actions on graphs and trees, and most recently exploring connections between E-dense semigroups and the discrete log problem. His 2024 paper 'Semilattices of stratified extensions' represents the current direction of his research in ordered algebraic structures. Renshaw is actively involved in doctoral supervision, currently mentoring William Lee Warhurst who is pursuing an iPhD in Mathematical Sciences. He has indicated that he is accepting applications from prospective PhD students. His teaching interests are concentrated in algebra and number theory, contributing to the mathematics curriculum at the University of Southampton.

• Algebraic Geometry
• Logarithmic Geometry
• Moduli Spaces
• +۳ مورد دیگر

Qile Chen is an Associate Professor in the Department of Mathematics at Boston College. His research focuses on algebraic geometry, particularly logarithmic geometry, moduli spaces, and enumerative geometry. He has collaborated extensively with researchers such as Dan Abramovich, Dawei Chen, and Yongbin Ruan. Notable contributions include foundational work on logarithmic stable maps, decomposition of Gromov-Witten invariants, and studies of moduli spaces of abelian/quadratic differentials. His publications explore intersections of algebraic geometry with number theory, symplectic geometry, and mathematical physics. Recipient of grants supporting research in moduli theory and logarithmic structures Key contributor to the Handbook of Moduli series Active in international collaborations including the Simons Symposia Current research trends involve logarithmic gauged linear sigma models and applications to mirror symmetry. Preprints explore Gorenstein contractions and punctured logarithmic R-maps. Labs/Teams: Collaborates within the Boston College Algebraic Geometry group and international networks in logarithmic geometry research.

• Theory of Partitions
• Modular Forms
• q-Series
• +۳ مورد دیگر

Koustav Banerjee is a Researcher at the Research Institute for Symbolic Computation (RISC) of Johannes Kepler University (JKU Linz). He holds a PhD in Mathematics (2022) from RISC, JKU, focusing on analytic number theory and partition function analysis. His primary research areas include Theory of Partitions, Modular Forms, q-Series, Combinatorics, and Mathematical Analysis. His work addresses asymptotic expansions, inequalities, and combinatorial proofs related to partitions, Bessel functions, and modular forms. Notable contributions include error bounds for partition function asymptotics, proofs of Chen's conjectures on partition inequalities, and applications of the localization method to congruence families. Publications highlight his expertise in bridging analytic methods with symbolic computation. Recent articles explore partition function inequalities, Bessel function properties, and combinatorial structures like plane partitions and hook-type tableaux. His research often intersects algebraic geometry and discrete mathematics, yielding results with implications in theoretical physics and computer algebra systems. Affiliated with RISC since his PostDoc tenure, he collaborates on technical reports and publishes in journals like Rocky Mountain Journal of Mathematics , European Journal of Combinatorics , and Annals of Combinatorics . His work emphasizes rigorous mathematical proofs and computational verification in number theory.

Luan Thach Hoangمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Fluid Dynamics
• Porous Medium Equations
• +۳ مورد دیگر

Luan Thach Hoang is an Associate Professor in the Department of Mathematics and Statistics at Texas Tech University. He holds a Ph.D. in Mathematics from Texas A&M University (2005) and has held academic positions at institutions including the University of Minnesota and Indiana University. His research focuses on partial differential equations, fluid dynamics, porous media, and dynamical systems. Education: Ph.D. Mathematics (Texas A&M University, 2005), M.A. Mathematics (Arizona State University, 2000), B.S. Mathematics and Computer Science (National University, Vietnam, 1997). Research interests include nonlinear PDEs, fluid dynamics in porous media, and asymptotic analysis. Recent work explores Forchheimer flows, Navier-Stokes equations, and long-time behavior of solutions. He has contributed to over 50 peer-reviewed publications and has been funded by NSF grants. Teaching spans courses in differential equations, calculus, and advanced mathematics. Active in professional organizations, he has organized conferences and delivered invited talks globally. Collaborators include leading researchers in fluid dynamics and applied mathematics.

Joscha Prochnoمشاهده پروفایل

استاد

• Functional Analysis
• High-Dimensional Geometry
• Probability Theory
• +۳ مورد دیگر

Professor Joscha Prochno is a faculty member at the University of Passau since April 2021, holding the Chair of Functional Analysis within the Faculty of Computer Science and Mathematics . His academic journey includes positions at Kiel University (diploma and doctorate), University of Alberta (postdoc), Johannes Kepler University Linz (Senior PostDoc), University of Hull, and Karl Franzens University Graz (habilitation in 2021). Research focuses on high-dimensional phenomena at the intersection of analysis, geometry, and probability theory. Key article trends include random projections, Schatten and Orlicz classes, large deviations, and fragmentation processes in high dimensions. Scientific Awards : Austria's highest mathematics prize (2021) Editorial Roles : Co-editor of Mathematische Nachrichten and Journal of Complexity

• Probabilistic Machine Learning
• Probabilistic Circuits
• Probabilistic Programming
• +۲ مورد دیگر

Martin Trapp is an Academy Postdoctoral Researcher in the Department of Computer Science at Aalto University, specializing in probabilistic machine learning. He is affiliated with Professor Arno Solin's research group, focusing on advancing tractable probabilistic models for real-world applications. His research centers on Probabilistic Circuits , Probabilistic Programming , and Bayesian Nonparametrics , with emphasis on hardware-efficient implementations for edge devices and multimodal systems. Key interests include uncertainty quantification in deep learning, neurosymbolic AI integration, and medical imaging applications. His work bridges theoretical foundations with practical deployment constraints, particularly in resource-limited environments. Analysis of his 15 most recent publications (2022-2025) reveals three dominant trends: (1) hardware-aware probabilistic inference for TinyML applications, (2) scalable Bayesian methods using bitstring representations and probabilistic programming, and (3) multimodal robustness in vision-language systems and medical imaging. His contributions span from theoretical circuit representations to real-world implementations in mammography analysis and vision-language models. Trapp secured a HIIT short-term project grant (November 2022) for "Positive Semi-Definite Circuits" under the Department of Computer Science. No formal advising relationships are documented in available sources. He actively collaborates with researchers including Arno Solin, Rui Li, and Marcus Klasson across institutions like Aalto University and the Helsinki Institute for Information Technology. As a core member of Aalto's Probabilistic Machine Learning group, he contributes to advancing probabilistic AI methodologies with applications in healthcare, edge computing, and multimodal reasoning. His current work emphasizes deployable probabilistic systems that maintain rigorous uncertainty quantification while meeting hardware constraints.

Samuel Grushevskyمشاهده پروفایل

استاد

• Algebraic Geometry
• Moduli Spaces
• Teichmüller Theory
• +۵ مورد دیگر

Samuel Grushevsky is a Professor and Deputy Director at the Simons Center for Geometry and Physics (SCGP) at Stony Brook University, where he is affiliated with the Department of Mathematics in the College of Arts and Sciences. His office is located in SCGP 416 and he can be reached at 631-632-2820. Professor Grushevsky's research focuses on algebraic geometry, with particular emphasis on moduli spaces, abelian varieties, theta functions, and their connections to mathematical physics. His work bridges pure mathematics with theoretical physics, especially in areas related to string theory and integrable systems. He has made significant contributions to the Schottky problem, Teichmüller dynamics, and the geometry of moduli spaces of curves and abelian varieties. His research often involves intricate connections between algebraic geometry and complex analysis, with applications to theoretical physics. His recent publications demonstrate a sustained focus on the geometry of moduli spaces, particularly examining compactifications, stratifications, and the interplay between algebraic geometry and differential geometry. His work frequently addresses fundamental questions about the structure of moduli spaces of curves, abelian varieties, and differentials, with applications to mathematical physics. He has developed deep insights into the Schottky problem and has made significant advances in understanding the geometry of strata of differentials. Professor Grushevsky's research has been published in top-tier mathematics journals including Duke Mathematical Journal, Journal für die Reine und Angewandte Mathematik, Inventiones Mathematicae, and IMRN. His paper 'Compactification of strata of abelian differentials' (2018) has been cited 68 times, and 'Strata of k-differentials' (2019) has been cited 56 times, demonstrating significant impact in the field. In addition to his research, Professor Grushevsky is an active educator, teaching advanced graduate courses in areas such as Teichmüller dynamics, moduli of curves, and complex analysis. His teaching portfolio demonstrates deep expertise across algebraic geometry and complex analysis. He has collaborated extensively with leading researchers worldwide, including Riccardo Salvati Manni, Klaus Hulek, Martin Möller, and Matt Bainbridge, among others.

Oren Yakirمشاهده پروفایل

پژوهشگر ارشد

• Analysis
• Probability Theory
• Random Polynomials
• +۳ مورد دیگر

Oren Yakir is an NSF Postdoctoral Fellow at Stanford University's Department of Mathematics, part of the School of Humanities and Sciences. He joined Stanford for the 2024-25 academic year. His research focuses on Analysis and Probability Theory, with particular attention to random polynomials, stochastic processes, and statistical mechanics. His work explores topics like root separation laws, charge fluctuations in Coulomb gases, and the behavior of Weierstrass zeta functions under random perturbations. Yakir holds a PhD from Tel Aviv University, completed in 2024. His academic contributions span theoretical and applied probability, with a strong emphasis on rigorous mathematical analysis of random systems. His recent studies investigate universality phenomena in root distributions and the interplay between stochastic models and geometric structures. Notable achievements include the NSF Postdoctoral Fellowship, which supports his research into probabilistic methods in analysis. While no formal advising roles are listed, his publications reflect collaborative engagement with stochastic modeling and mathematical physics. His office is located in Building 380, Room 384-F, and he can be reached at orenya@stanford.edu .

• Mathematics Education
• Mathematics Teacher Preparation
• Curriculum Development
• +۴ مورد دیگر

Dr. James A. M. Alvarez is a Professor of Mathematics and Distinguished Teaching Professor at the University of Texas at Arlington, serving as Graduate Director of the Master of Arts in Mathematics Program for secondary teachers. He holds a B.S. in Mathematics and Physics from Texas A&M University–Commerce and a Ph.D. in Mathematics from The University of Texas at Austin. His research focuses on mathematics education, including teacher preparation, curriculum development, and improving access to STEM for underserved populations. Dr. Alvarez has contributed to Texas mathematics standards (TEKS) and national initiatives like the College Board’s AP Calculus and Achieve’s Secondary Mathematics Benchmarks. He has received numerous awards, including the Regents’ Outstanding Teaching Award and multiple Provost’s Research Excellence Awards. His grants total over $9M, supporting projects to enhance teacher content knowledge and student retention in STEM. His leadership roles include Vice-President of the Conference for the Advancement of Mathematics Teaching, MAA Board of Governors member, and participation in national working groups on STEM teacher education. Key research interests include mathematical problem solving, technology integration, and fostering equity in mathematics education. Recent publications emphasize connecting advanced mathematics to secondary teaching, task design for teacher preparation, and promoting diversity in STEM. His service spans university committees, NSF program leadership, and editorial roles for journals like PRIMUS and MAA publications.

Christian Seisمشاهده پروفایل

استاد

• Applied analysis
• Partial Differential Equations (PDEs)
• Mathematical fluid dynamics
• +۵ مورد دیگر

Prof. Dr. Christian Seis is a Professor of Applied Mathematics at the University of Münster, affiliated with the Institute of Analysis and Numerics. He is an Investigator in Mathematics Münster and specializes in applied analysis, partial differential equations (PDEs), and mathematical fluid dynamics. His research focuses on fluid dynamics phenomena, including vortex dynamics, mixing processes, and free boundary problems, with applications to convection and nonlinear diffusions. Education & Career: PhD from University of Leipzig (2011) Postdoctoral Fellow at University of Toronto (2011–2014) Lecturer (Akademischer Rat) at University of Bonn (2014–2017) Current position since 2017 at University of Münster Research Interests: Nonlinear PDEs, particularly fluid dynamics and transport equations Vortex dynamics, mixing in fluids, and boundary layer analysis Asymptotic behavior of solutions to Navier-Stokes and Euler equations Nonlinear diffusions, including thin film and porous medium equations Stability estimates and numerical schemes for advection-diffusion equations Recent Projects: Mathematical analysis of bubble rings in ideal fluids Optimal stability estimates for advection-diffusion equations Crossover of coarsening rates in demixing viscous liquids Analysis of the vanishing viscosity limit in 2D flows Grants & Collaborations: DFG Cluster of Excellence 'Mathematics Münster' (EXC 2044) Individual DFG grants for projects on transport equations and invariant manifolds Co-organizer of workshops on fluid dynamics and geometric PDEs Labs/Teams: Leads the research group on applied analysis and PDEs at the University of Münster, focusing on rigorous mathematical analysis of fluid dynamics and diffusion processes.

• Number Theory
• Cryptography
• Analytic Number Theory
• +۵ مورد دیگر

Carl Pomerance is a Professor in the Department of Mathematics at Dartmouth College. His research spans various areas of number theory, including analytic number theory, cryptography, and computational methods. He is renowned for his work on prime numbers, pseudoprimes, and the distribution of arithmetic functions. Pomerance has authored or co-authored numerous influential books, including Prime Numbers: A Computational Perspective , and has edited volumes on cryptology and computational number theory. His research interests include the study of arithmetic functions, such as Euler's totient function and Carmichael's function, as well as topics in algebraic number theory, combinatorics, and algorithms. Pomerance has delivered invited talks at major conferences and institutions worldwide, focusing on themes like additive number theory, multiplicative functions, and the interplay between number theory and cryptography. Key contributions include advancements in primality testing algorithms (e.g., the quadratic sieve), the study of Carmichael numbers, and investigations into pseudoprimes and their distribution. He has also explored topics such as covering congruences, elliptic curves, and the properties of algebraic numbers.

• Computer Architecture
• Computer Arithmetic
• RISC-V Systems
• +۳ مورد دیگر

David Mallasen Quintana is a Scientist and Lecturer at the Swiss Federal Institute of Technology Lausanne (EPFL), affiliated with both the School of Engineering (STI) and the Integrated Systems Laboratory (ESL) within the Institute of Electrical and Microengineering. He also holds teaching responsibilities in the School of Computer and Communication Sciences (IC) at EPFL. Dr. Quintana completed his Ph.D. in Computer Engineering at Universidad Complutense de Madrid in 2024. His research focuses on: Computer architecture and arithmetic systems RISC-V ecosystem development and customization Energy-efficient hardware design and domain-specific accelerators Posit arithmetic implementations and optimizations Embedded systems and low-power computing solutions His recent publications demonstrate consistent focus on RISC-V extensions, posit arithmetic implementations, and hardware/software co-design approaches for efficient computing. The work spans from fundamental arithmetic units to application-specific accelerators, with evolving emphasis on scientific computing applications and energy-constrained environments. Dr. Quintana actively contributes to open-source hardware projects including PERCIVAL, x-HEEP, and various arithmetic unit implementations. His research group develops energy-efficient platforms and tools for hardware deployment within the RISC-V ecosystem.