جست‌وجوی استاد و پژوهشگر

Serkan Gugercinمشاهده پروفایل

استاد

• Model Reduction
• Dynamical Systems
• Numerical Analysis
• +۶ مورد دیگر

Serkan Gugercin is the Class of 1950 Professor of Mathematics and Deputy Director of the Division of Computational Modeling and Data Analytics (CMDA) at Virginia Tech's College of Science. He is also affiliated with the Department of Mechanical Engineering. His research focuses on model reduction, dynamical systems, numerical analysis, and scientific computing, with applications in engineering and data-driven methods. Gugercin has held prestigious titles such as the A.V. Morris Professorship (2016–2019) and received awards like the NSF Early CAREER Award (2007) and Alexander von Humboldt Fellowship (2016). He earned his Ph.D. in Electrical Engineering from Rice University (2003) and has secured over $5.5M in research funding. His work bridges numerical methods, control theory, and optimization, emphasizing high-fidelity reduced models for complex systems. Education: B.S., Middle East Technical University (1997); M.S. and Ph.D., Rice University (1999, 2003). Key contributions include co-authoring the textbook *Interpolatory Methods for Model Reduction* (SIAM) and advancing structure-preserving interpolation techniques for nonlinear systems. Research areas include data-driven modeling, parametric systems, and energy-based approximation methods. Labs/Teams: CMDA Program, part of Virginia Tech’s Academy of Integrated Science. Collaborates on interdisciplinary projects involving power networks, fluid dynamics, and mechanical systems. Active in editorial roles for SIAM Journal on Scientific Computing and Systems & Control Letters.

• Mathematics
• Combinatorics
• Number Theory
• +۳ مورد دیگر

Orli Herscovici is an Assistant Professor in the Department of Mathematics and Computer Science at St. John’s College of Liberal Arts and Sciences, St. John’s University. Her research focuses on advanced mathematical analysis, combinatorics, and special functions, with notable contributions to fractional calculus, polynomial theory, and combinatorial identities. She has published extensively on topics including Gaussian principal frequencies, deformed fractional transforms, and degenerate polynomials. Her work bridges pure mathematics and applications in probability theory and nonlinear systems. Dr. Herscovici’s academic affiliations include the Mathematics and Computer Science department, where she contributes to teaching and research initiatives. Her publications reflect a deep engagement with interdisciplinary areas such as spectral geometry and umbral calculus. While no specific scientific awards or grants are highlighted in the provided text, her scholarly output demonstrates sustained academic engagement in theoretical and applied mathematics.

Christopher Greenمشاهده پروفایل

استادیار

• Applied Mathematics
• Complex Analysis
• Fluid Mechanics
• +۳ مورد دیگر

Dr. Christopher Green is an Assistant Professor of Applied Mathematics at Wichita State University's Fairmount College of Liberal Arts and Sciences, Department of Mathematics, Statistics & Physics. He holds a PhD from Imperial College London (supervised by Prof. Darren Crowdy) and has held postdoctoral positions at the University of California San Diego and Queensland University of Technology. Previously, he served as a Lecturer in Applied Mathematics and ARC DECRA Fellow at Macquarie University in Sydney, Australia. His research focuses on computational and applied complex analysis, particularly in multiply connected domains. Key interests include the Schottky-Klein prime function, ideal fluid mechanics, and free boundary problems. His work bridges classical function theory with modern computational methods. Recent publications emphasize fluid dynamics applications such as Hele-Shaw bubble dynamics, harmonic measure computations, and airfoil potential flow. His research has been published in high-impact journals across applied mathematics and fluid mechanics. Christopher Green has received the ARC DECRA Fellowship, a prestigious early-career award. His advising and grants include contributions to computational methods in complex analysis and fluid dynamics. He maintains active collaborations internationally, leveraging both theoretical and numerical approaches to geometrically complex problems.

• Special Functions
• Inequalities
• Complex Analysis

Kendall Richards is a Professor of Mathematics at Southwestern University, located in Georgetown, Texas. His academic journey includes a PhD from Texas Tech University (1991) and BS/MA degrees from Eastern New Mexico University (1984/1986). He specializes in Special Functions, Inequalities, and Complex Analysis. His research frequently involves collaborations with students, such as Jordan Smith and Eric Oden, reflecting a strong commitment to undergraduate research mentorship. Richards’ work centers on advanced mathematical analysis, with notable contributions to elliptic integrals, hypergeometric functions, and inequalities. His publications often explore concavity properties, sharp bounds, and computational methods for mathematical models like pendulum dynamics. He has co-authored over 30 peer-reviewed articles in journals such as Proceedings of the American Mathematical Society and Integral Transforms and Special Functions . As an educator, Richards emphasizes student engagement and inquiry-based learning, as seen in his textbook Introductory Analysis: An Inquiry Approach (2020). His recent research trends focus on hypergeometric functions, geometric function theory, and applications of special functions to physics and engineering problems. Richards currently serves in the Department of Mathematics at Southwestern University, contributing to both teaching and research initiatives. His lab or team collaborations are not explicitly detailed, but his mentorship roles and publications suggest active participation in academic networks focused on analysis and applied mathematics.

Artur Nicolauمشاهده پروفایل

استاد

• Complex Analysis
• Inner Functions
• Hardy Spaces
• +۵ مورد دیگر

Artur Nicolau is a Professor of Mathematics at the Autonomous University of Barcelona, Spain, where he is affiliated with the Department of Mathematics. His academic career spans several decades, with a prolific research output in complex analysis and related fields. Professor Nicolau's research primarily focuses on complex analysis , with special emphasis on inner functions, Hardy spaces, Bloch space, Nevanlinna theory, and harmonic analysis. His work explores the boundary behavior of analytic functions, function spaces, and connections to dynamical systems and probability theory. He has made significant contributions to understanding the structure of bounded analytic functions and their geometric properties. Analysis of Nicolau's recent publications (2021-2025) reveals a strong focus on inner functions and their properties, including studies on shift invariant subspaces in the Bloch space, central limit theorems for inner functions, and invertibility in quotient algebras of $H^\infty$. His work demonstrates deep connections between complex analysis, functional analysis, and probability theory, with applications to understanding the geometric and dynamical properties of analytic mappings. While no specific scientific awards are mentioned in the available information, Professor Nicolau's extensive publication record in top mathematics journals reflects significant scholarly impact in his field.

• Complex Analysis
• Probability Theory
• Mathematical Physics
• +۹ مورد دیگر

Fredrik Viklund is a Professor at the Department of Mathematics, KTH Royal Institute of Technology. He holds the Wallenberg Scholar title and receives research funding from the Swedish Research Council (VR) and the Gustafson Foundation. His research focuses on the intersection of complex analysis, probability, and mathematical physics, with applications to computer science and applied mathematics. PhD from KTH Simons Fellow and J.F. Ritt Assistant Professor at Columbia University Associate Professor at Uppsala University Research interests include: Schramm-Loewner evolution (SLE) curves Critical lattice models Laplacian growth and aggregation Conformal field theory Teichmüller theory Gaussian fields Recent publications focus on Coulomb gases, Loewner energy, Hele-Shaw flows, and lattice Yang-Mills theories. Notably, his work explores the interplay between Loewner chains and Dirichlet energies. Scientific roles: Editorial Board: Arkiv för Matematik and Analysis and Mathematical Physics Scientific Council for Natural and Engineering Sciences, Swedish Research Council (VR) Member of the Random Matrix Theory and Random Geometry (RMRG) research group Advising: Supervises PhD students and collaborates with postdocs. Organizes the KTH Probability and Mathematical Physics Seminar.

Jan Swartمشاهده پروفایل

استاد

• Probability Theory
• Mathematical Statistics
• Interacting Particle Systems
• +۵ مورد دیگر

Dr. Jan Swart is a Professor at the Department of Probability and Mathematical Statistics within the Faculty of Mathematics and Physics at Charles University, and a researcher at the Institute of Information Theory and Automation (UTIA) of The Czech Academy of Sciences in Prague. His office is located at Pod vodarenskou vezi 4, 18200 Praha 8, Czech Republic, where he works in Room 112 of the Stochastic Informatics department. Professor Swart specializes in probability theory with particular expertise in interacting particle systems, stochastic processes, and their mathematical foundations. His research spans quantum probability, random matrix theory, Markov chains, large deviations, and Brownian continuum objects. He has developed significant theoretical frameworks for understanding complex stochastic systems and their scaling limits. His publication record shows a consistent focus on advancing the mathematical understanding of interacting systems, with lecture notes and research materials that have become valuable resources in the field. His work demonstrates strong connections between theoretical probability and applications in statistical physics and theoretical biology. Professor Swart has supervised numerous theses and taught a wide range of advanced courses including Quantum Probability Theory, Interacting Particle Systems, Random Matrix Theory, and Advanced Markov Chains. He has also created a comprehensive simulation library for interacting particle systems that enables numerical exploration of these complex models. Notably, Professor Swart has also contributed to mathematical education through creative works including a mathematical fairy tale titled "Roulette a la princess" that explores game theory and probability concepts in an engaging narrative format. His work on the Czech language demonstrates his integration into the local academic community while maintaining international scholarly connections.

Henriette Elvangمشاهده پروفایل

استاد

• quantum field theory
• supersymmetry
• gravity
• +۴ مورد دیگر

Henriette Elvang is the Arthur F. Thurnau Professor and Professor of Physics at the University of Michigan in Ann Arbor, where she has been a faculty member since 2009. She is part of the University of Michigan's High Energy Theory Group and the Leinweber Center for Theoretical Physics (LCTP). Her office is located in 3428 Randall Lab. Elvang received her Ph.D. in Physics from the University of California Santa Barbara in 2005, following an M.Sc. (Cand.Scient) and B.Sc. in Physics from the University of Copenhagen in 2001 and 1998, respectively. Prior to joining Michigan, she was a postdoctoral member at the Institute for Advanced Study at Princeton (2008-09) and a Pappalardo Postdoctoral Fellow at MIT (2005-08). Professor Elvang's research focuses on theoretical high energy physics, specifically quantum field theory, supersymmetry, gravity, and particle physics. Her work resides at the interface between particle physics, general relativity, and string theory. Currently, she is developing new methods for calculating scattering processes and investigating fundamental properties of quantum field theories. Her research spans amplitude techniques, holography, supersymmetric field theories, and black hole physics. Her extensive publication record shows a consistent focus on scattering amplitudes, with significant contributions to amplitude techniques, double-copy formalism, soft theorems, and applications to gravitational theories. Her work bridges formal theoretical developments with practical computational methods. 2023 Cottrell SEED Award from the Research Corporation for the Advancement of Science 2021 AAAS Fellow 2019 Arthur F. Thurnau Professorship 2018 Fellow of the American Physical Society 2017 John Dewey Award from the College of LSA, University of Michigan 2016 Maria Goeppert Mayer Award from the American Physical Society 2015 Henry Russel Award from Rackham Graduate School 2014 Individual Award for Outstanding Contributions to Undergraduate Education 2013 Cottrell Scholar award 2010 NSF CAREER award Professor Elvang has successfully advised numerous graduate students who have gone on to postdoctoral positions at prestigious institutions including the Institute for Advanced Study, UC Davis, UCLA, and Nordita. She has also mentored undergraduate researchers who have pursued advanced degrees in physics and related fields. Her research has been supported by substantial grants including the NSF CAREER award and Cottrell Scholar award. As a member of the High Energy Theory Group and the Leinweber Center for Theoretical Physics, Elvang collaborates with a vibrant community of theoretical physicists working on particle physics, quantum field theory, and string theory. Her work has significantly contributed to the development of modern amplitude techniques and their applications across theoretical physics.

Gregory Markowskyمشاهده پروفایل

مدرس ارشد

• Stochastic processes
• Complex analysis
• Graph theory

Gregory Markowsky serves as a Senior Lecturer in the School of Mathematics at Monash University, maintaining an active research profile with continuous publication output through 2025. His academic appointment shows no indication of part-time status, emeritus designation, or former staff classification. His research centers on three interconnected domains: Stochastic processes, particularly planar Brownian motion and random walk theory Complex analysis with applications to probabilistic models Graph theory focusing on algebraic and combinatorial structures These areas converge in his investigation of probabilistic phenomena with geometric interpretations. Recent publication trends reveal sustained productivity with 61 research outputs cataloged, including 4 articles in 2025 alone. His work demonstrates consistent methodological focus on stochastic analysis and combinatorial structures, with increasing cross-disciplinary applications in forensic science and econometrics as evidenced by 2024-2025 publications. Markowsky has secured three significant research projects funded by the Australian Research Council, including: "Planar Brownian motion and complex analysis" (2014-2017) as Primary Chief Investigator "Finite Markov chains in statistical mechanics and combinatorics" (2014-2017) "AMSI Industry Internship: Melbourne Storm" (2013) His ORCID profile (0000-0003-1656-337X) documents extensive scholarly activity with international collaborations. Professional engagement includes contributions toward UN Sustainable Development Goals through mathematical applications, though specific goal alignments aren't detailed in available materials. His email contact Greg.Markowsky@monash.edu remains active with current research dissemination.

Fedor Maninمشاهده پروفایل

دانشیار

• Geometry and Topology
• Metric Geometry
• Algorithmic Topology
• +۳ مورد دیگر

Fedor Manin is an Associate Professor of Mathematics at the University of Toronto, previously serving as an Associate Professor at the University of California, Santa Barbara (UCSB). He holds a Ph.D. in Mathematics from the University of Chicago (2015), with earlier degrees from Caltech (B.S., 2009) and the University of Chicago (M.S., 2011). His research focuses on the quantitative, algorithmic, and stochastic aspects of geometry and topology, including topics like metric geometry, knot theory, and topological data analysis. Manin has received significant funding, including a Sloan Fellowship (2021–2023) and multiple NSF grants. He advises several Ph.D. students and has published extensively in top-tier journals. His work bridges topology with computation and probability, exploring questions such as the geometry of random knots and the algorithmic decidability of topological problems. Education: Ph.D., Mathematics, University of Chicago, 2015 M.S., Mathematics, University of Chicago, 2011 B.S., Mathematics, California Institute of Technology, 2009 Research Interests: Manin investigates connections between topology and metric geometry, with applications to computation and probability. Key areas include the study of knot invariants (e.g., ropelength), algorithmic topology, and stochastic geometry. For instance, he explores how to quantify geometric properties of knots and analyze their isotopy through probabilistic methods. Recent work also addresses the scalability of geometric spaces and the computational complexity of topological problems. Grants & Awards: NSERC Discovery Grant (2025–2030) Sloan Fellowship (2021–2023) NSF Grant DMS-2204001 (2022–2025) Labs & Collaborations: While no specific lab is named, Manin collaborates widely, evidenced by co-authored papers with researchers like Larry Guth (MIT) and Érika Roldán Roa (UCSB). His work often intersects with computational topology and geometric group theory.

• Probability Theory
• Statistical Mechanics
• Mathematical Physics
• +۸ مورد دیگر

Nathanael Berestycki is a University Professor (Univ.-Prof.) in the Department of Mathematics within the Faculty of Mathematics. His research spans multiple areas of probability theory and mathematical physics with a particular focus on stochastic processes and their connections to statistical mechanics and quantum gravity. Professor Berestycki's research interests center around probability theory, with significant contributions to the understanding of Gaussian free fields, Liouville quantum gravity, and random processes. His work explores deep connections between statistical mechanics and mathematical physics, particularly in the context of conformal invariance and scaling limits. He has made substantial contributions to the theory of dimers, Brownian motion, random graphs, and branching processes, often revealing unexpected connections between seemingly disparate areas of mathematics. Analysis of his recent publications shows a consistent focus on the intersection of probability theory and mathematical physics, with particular emphasis on conformal invariance properties, scaling limits of discrete models, and the mathematical structure of quantum gravity. His work often bridges theoretical developments with concrete applications in statistical mechanics, demonstrating how deep mathematical structures emerge from seemingly simple probabilistic models. The breadth of his research is reflected in publications across top probability and mathematical physics journals. Throughout his career, Berestycki has maintained a high level of productivity with consistent publication output across leading journals in probability theory and mathematical physics. His collaborative work with researchers across institutions demonstrates strong connections within the mathematical community, particularly in the European probability research network.

Marcel Campenمشاهده پروفایل

استاد

• Computer Graphics
• Geometry Processing
• Surface Parametrization
• +۴ مورد دیگر

Marcel Campen is a Professor at Osnabrück University specializing in Computer Graphics and Geometry Processing. His research focuses on surface parametrization, quad mesh generation, and computational geometry. He has made significant contributions to the field of geometry processing, particularly in developing algorithms for quad layout generation, surface mapping, and mesh repair. His research interests span Computer Graphics, Geometry Processing, Surface Parametrization, Quad Mesh Generation, 3D Modeling, and Mesh Repair. Campen's work addresses fundamental challenges in representing and processing complex geometric shapes, with applications ranging from animation and simulation to reverse engineering and meshing. His research often combines theoretical insights with practical implementations, resulting in algorithms that are both mathematically sound and computationally efficient. Campen's publications demonstrate a strong focus on developing robust and efficient methods for geometry processing. His work on quad layout generation, parametrization techniques, and surface mapping has resulted in several award-winning papers, including Best Paper Awards at SGP 2021 and 2022. His research often bridges theoretical concepts with practical implementations, making his contributions highly influential in both academic and industrial settings. Best Paper Award (1st place) at SGP 2022 Best Paper Award at SGP 2021 Campen has made significant contributions to the field through his doctoral thesis on quad layout generation and numerous publications in top-tier conferences including SIGGRAPH, Eurographics, and SGP. His work on directional field synthesis, similarity maps, and bijective mappings has advanced the state of the art in geometry processing. He has also contributed to practical tools like libQEx for robust quad mesh extraction, demonstrating his commitment to making theoretical advances accessible to practitioners.

• Quantum Physics
• Quantum Information Science
• Theoretical Physics
• +۶ مورد دیگر

Caslav Brukner is a Professor at the University of Vienna, affiliated with the Department of Quantum Optics, Quantum Nanophysics and Quantum Information. His research spans foundational aspects of quantum mechanics, quantum gravity, and the interplay between spacetime physics and quantum theory. He has taught courses such as Theoretical Physics III for teacher students and seminars on quantum foundations. His recent work explores quantum superpositions of spacetime geometries, indefinite causal orders, thermodynamic observables in quantum gravity, and the role of observers in quantum measurements. Key themes include reconciling quantum mechanics with general relativity, analyzing temporal and causal structures, and studying quantum thermodynamics. While no explicit scientific awards are listed, his research has produced numerous publications across quantum reference frames, entanglement, and relativistic quantum mechanics. His teaching emphasizes advanced topics in quantum theory, including foundational debates and practical applications.

Anna Hasenfratzمشاهده پروفایل

استاد

• High Energy Physics
• Quantum Field Theory
• Quantum Chromodynamics (QCD)
• +۳ مورد دیگر

Anna Hasenfratz Anna Hasenfratz is a Professor of Physics at the University of Colorado Boulder. Her research focuses on high-energy theoretical physics, particularly non-perturbative properties of quantum field theories such as Quantum Chromodynamics (QCD) and lattice gauge theory. She leads studies on renormalization group flows, infrared fixed points, and computational methods to analyze strongly coupled systems. Her work emphasizes lattice simulations to explore phenomena like mass generation, symmetry breaking, and critical behavior in gauge theories. Recent contributions include studies on SU(3) gauge theories with multiple fermion flavors, composite Higgs models, and gradient flow techniques for scale setting. Key collaborations involve the Lattice Strong Dynamics (LSD) Collaboration and contributions to Snowmass 2021 reports on future directions in lattice gauge theory. Her research frequently addresses open questions in beyond-Standard-Model physics and the interplay between lattice simulations and experimental particle physics.

Artem Sapozhnikovمشاهده پروفایل

استاد

• Probability theory
• percolation
• random walks
• +۱ مورد دیگر

Artem Sapozhnikov is a Professor at the Mathematisches Institut of Universität Leipzig, Germany. His research focuses on probability theory, particularly percolation, random walks, and random graphs. He maintains an active research program with numerous publications and supervises PhD students and postdocs. Professor Sapozhnikov teaches a range of mathematics courses for physicists, including Mathematics for Physicists 1-4, Probability Theory I & II, and specialized courses on percolation. His teaching spans both undergraduate and graduate levels, demonstrating his commitment to mathematical education. His research interests center around probability theory , with specific focus on: Percolation theory and phase transitions Random walks and their properties on various structures Random interlacements and Brownian motion Boolean models and geometric probability Models with long-range correlations His work bridges theoretical probability with applications in statistical physics. Analysis of his recent publications shows a strong focus on the properties of random interlacements, Brownian motion, and percolation models. His research examines connectivity properties, phase transitions, and geometric aspects of these stochastic processes. Recent work with Yingxin Mu has explored visibility windows and indistinguishability of components in various models. Earlier collaborations with Caio Alves, Deepan Basu, and Yinshan Chang investigated decoupling inequalities, crossing probabilities, and loop percolation. Professor Sapozhnikov has supervised several PhD students and postdocs, including: Deepan Basu (PhD 2013-2017) Caio Alves (postdoc 2016, 2017-2020) Yinshan Chang (postdoc 2013-2016) Lorenzo Taggi (PhD 2012-2015) Yingxin Mu (postdoc 2021-2023) He currently has open positions for PhD students through the IMPRS program.