جست‌وجوی استاد و پژوهشگر

Peter Matthew Magyarمشاهده پروفایل

دانشیار

• Representation Theory
• Algebraic Combinatorics
• Algebraic Geometry
• +۵ مورد دیگر

Prof. Peter Matthew Magyar is an Associate Professor in the Department of Mathematics at Michigan State University (MSU). He holds a B.A. in Mathematics from Princeton University (summa cum laude, 1986) and a Ph.D. in Mathematics from Harvard University (1993, advised by Joseph N. Bernstein). Before joining MSU in 2000, he held postdoctoral and visiting positions at the University of Utrecht (Netherlands), Université de Paris VII, Northeastern University, and Brandeis University. His research focuses on representation theory, algebraic combinatorics, and algebraic geometry, with emphasis on Lie groups, loop groups, Schubert varieties, and combinatorial structures like Young tableaux and Littelmann paths. Education: Princeton University, B.A. Mathematics, 1986 Harvard University, Ph.D. Mathematics, 1993 Research Interests: Representation theory of semi-simple complex Lie groups Algebraic combinatorics (Young tableaux, Littelmann paths) Schubert calculus and affine Schubert polynomials Geometry of flag varieties and affine Grassmannians Honors: NSF Graduate Fellowship (1986-89) NSF Postdoctoral Fellowship (1995-98) NSF Grants DMS-0405948 (2004-07) and DMS-0703524 (2007-10) Teaching: Courses include graduate combinatorics, abstract algebra, discrete mathematics, and honors calculus. Developed a daily-quiz system for upper-level courses. Collaborations: Works with researchers such as V. Lakshmibai, P. Littelmann, A. Zelevinsky, and others on geometric and combinatorial representation theory. Outreach: Participates in the Kinawa-Chippewa Math Circle, offering modular arithmetic and cryptography workshops for students.

• Signal Processing
• Machine Learning
• Neural Networks
• +۳ مورد دیگر

Professor Danilo P. Mandic, affiliated with Imperial College London, UK, is a leading researcher in signal processing, machine learning, and biomedical signal analysis. His work spans quaternion algebra, tensor networks, and neural networks for real-world applications. 2025: Published 11+ works on EEG/PPG analysis, quantum learning, and tensor-based LLM compression 2024: Active in interpretable transformers, graph learning for financial data, and hearable devices Research focuses on hypercomplex signal processing, graph neural networks, and medical AI applications. Recent work explores quaternion calculus for signal processing, tensor network structures for LLMs, and hearable device optimization. Key publication trends include: 2025 emphasis on quantum-aware learning, 2024 graph-based time series clustering, and 2023 foundational work on graph CNNs and matched filtering approaches. Collaborates extensively with Dongpo Xu, Sayed Pouria Talebi, Clive Cheong Took, and Tobias Reichenbach on projects involving ear-EEG, ECG enhancement, and financial sentiment analysis.

Bogdan Balcerzakمشاهده پروفایل

استادیار

• Differential Geometry
• Lie Algebroids
• Characteristic Classes
• +۲ مورد دیگر

Dr. Bogdan Balcerzak serves as a Research and Teaching Assistant Professor in the Department of Mathematical Modeling at Lodz University of Technology, Poland. His academic profile is defined by sustained contributions to differential geometry and Lie algebroid theory since the late 1990s, with active research and teaching responsibilities evident through 2024. His research centers on the geometric and algebraic structures of Lie algebroids, with specific focus on characteristic classes, Dirac operators, Chern-Simons forms, and generalized connections. Key investigations include symmetric brackets induced by linear connections, Weitzenböck formulas, and the behavior of R-linear forms on algebroids. This work bridges pure mathematics and mathematical physics, revealing deep connections between algebraic topology and geometric analysis. Publication trends from 2019-2024 demonstrate continued innovation in Lie algebroid applications, particularly in symmetry-related generalizations and operator theory. His recent work in Symmetry (2024) extends secondary characteristic class theory to Lie pseudoalgebras, while 2021 research explores symmetric bracket constructions. Collaborations frequently involve mathematicians like Jan Kubarski and Antoni Pierzchalski, reflecting sustained interdisciplinary engagement.

• Condensed Matter Theory
• Algebraic Topology
• Topological Field Theory
• +۶ مورد دیگر

Clément Delcamp is a CNRS Researcher at the Institut des Hautes Etudes Scientifiques (IHES), focusing on theoretical physics at the intersection of condensed matter and algebraic topology. He was previously a Junior Professor at IHES since 2023, following postdoctoral fellowships at Ghent University, the Max Planck Institute for Quantum Optics (Munich), and the Max Planck Institute for the Physics of Complex Systems (Dresden). His academic journey includes a PhD from the University of Waterloo and the Perimeter Institute for Theoretical Physics, preceded by an MSc in Quantum Fields and Fundamental Forces at Imperial College London (2013–2015). Education: MSc in Quantum Fields and Fundamental Forces (Imperial College London, 2015), PhD (University of Waterloo & Perimeter Institute, 2018) His research explores the algebraic structures underlying quantum lattice systems, emphasizing generalized symmetries, dualities, and topological field theory applications. He has pioneered tensor network methods to study electromagnetic duality in (3+1)d systems and non-abelian Kramers-Wannier dualities in generalized Ising models. His work bridges abstract category theory with concrete physical models, particularly in topological phases and renormalization group techniques. Recent publications highlight his contributions to quantum lattice duality frameworks, defect calculus, and tensor network-based renormalization. His 2024 paper with Lootens and Verstraete demonstrates optimized DMRG simulations for gapped phases via dual models. At IHES, he leads research on non-invertible symmetries and solicits postdocs in theoretical physics. Scientific Awards: Walter Zellidja Scholarship (French Academy), FWO Postdoctoral Fellowship Delcamp's affiliations span leading institutions including the Perimeter Institute, Max Planck Institutes, Ghent University, and IHES. He actively promotes collaboration through seminars and lectures at venues like the Collège de France, Les Houches, and Queen Mary University.

• symmetric function theory
• algebraic combinatorics
• representation theory
• +۲ مورد دیگر

Sami Assaf is a Professor of Mathematics at the University of Southern California (USC), where he has been since 2022. Previously, he held positions as Associate Professor (2019–2022) and Assistant Professor (2012–2019) at USC. He was a CLE Moore Instructor at MIT (2008–2011) and an NSF Postdoctoral Researcher at the University of Pennsylvania (2007–2008). His academic journey includes a Ph.D. in Mathematics from UC Berkeley (2007) and a B.A. in Honors Mathematics and Philosophy from the University of Notre Dame (2001). Assaf's research lies at the intersection of symmetric function theory, algebraic combinatorics, representation theory, and algebraic geometry. He investigates polynomial generalizations of symmetric functions such as Schubert polynomials, Demazure characters, and nonsymmetric Macdonald polynomials, often through combinatorial models like crystal graphs and dual equivalence. His work connects these structures to algebraic geometry and probability, with applications to combinatorial positivity and Markov chains. His recent publications and preprints focus on crystal bases, Kohnert diagrams, and dual equivalence graphs, proving Schur positivity, key expansions, and connections to quantum superalgebras. He has secured significant grants from the National Science Foundation and the Simons Foundation to support his research. Assaf is recognized for his mentoring, having received multiple Mentoring Awards at USC. He advises Ph.D., Master’s, and occasionally undergraduate students, emphasizing a structured approach to graduate research and a reading course framework. His doctoral advisees have explored topics in Demazure characters, extremal crystals, and shifted tableaux, with post-graduation placements in academia and industry.

• Stable Homotopy Theory
• Chromatic Homotopy Theory
• Tensor Triangulated Geometry
• +۶ مورد دیگر

Drew Kenneth Heard is an Associate Professor at the Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU), supported by the Trond Mohn Foundation. His research bridges stable homotopy theory, chromatic homotopy theory, and tensor triangulated geometry, with significant contributions to classification theorems and duality principles. Education: PhD (2014) from the University of Melbourne under Craig Westerland. Postdoctoral positions at Universität Regensburg (SFB Higher Invariants), Haifa University, Universität Hamburg (SPP 1786), and Max Planck Institute for Mathematics in Bonn. Heard's work focuses on the interplay between tensor triangulated categories and equivariant homotopy theory. His recent publications explore stratification theorems, vanishing lines in motivic homotopy, and the structure of Picard groups in chromatic settings. Collaborations with Tobias Barthel, Beren Sanders, and others have advanced understanding of localizing subcategories and descent techniques. Research Trends: Analysis of 15 recent articles reveals a core focus on tensor triangulated geometry (Balmer spectra, support theory), chromatic homotopy (K(n)-local spectra, Morava E-theory), and algebraic models for topological phenomena (comodule categories, local duality). Methodologically, he integrates geometric intuition with category-theoretic frameworks. Affiliations: Current: NTNU, Trondheim, Norway. Former: Universität Regensburg, Haifa University, Universität Hamburg, Max Planck Institute. Teaching: TMA4105 - Mathematics 2: Multivariable calculus and vector analysis. MA3408 - Algebraic Topology 2. Projects: Leads the "tt-geometry in Trondheim" project funded by the Trond Mohn Foundation, advancing tensor triangulated geometry classifications.

Vincent J Ervinمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Partial Differential Equations
• +۵ مورد دیگر

Vincent J. Ervin is a Professor of Mathematical Sciences at Clemson University's College of Science, located in Martin Hall. His academic journey includes a PhD from Georgia Institute of Technology in 1984. He specializes in numerical analysis, computational mathematics, and partial differential equations with focuses on fluid dynamics, fractional calculus, and viscoelastic systems. University: Clemson University College/School: College of Science Department: Mathematical and Statistical Sciences His research emphasizes fractional diffusion equations , viscoelastic fluid flow , and coupled Stokes-Darcy systems . Notable contributions include: Numerical methods for axisymmetric elasticity equations Stability analysis of fractional advection-diffusion systems Modeling fluid-structure interactions in biomedical applications (e.g., ocular pressure) Publications span topics from spectral approximations for fractional PDEs to error estimation in viscoelastic flows. His work bridges theoretical analysis with computational implementations, often employing finite element methods and stabilized formulations.

Bojko Bakalovمشاهده پروفایل

استاد

• Mathematical Physics
• Quantum Computing
• Representation Theory
• +۳ مورد دیگر

Bojko Bakalov is a Professor in the Department of Mathematics at North Carolina State University (NC State), serving as Director of Graduate Programs in Mathematics and Applied Mathematics. He also holds the role of Associate Director of the NC State Quantum Initiative. His research focuses on mathematical physics, quantum computing, representation theory, signal processing, and integrable systems. Bakalov earned his PhD in Mathematics from the Massachusetts Institute of Technology (MIT) in 2000. He has made significant contributions to quantum information processing, including work on barren plateaus in quantum circuits and geometric quantum machine learning. He leads a $10M DOE-backed quantum computing research project and is involved in organizing the Quantum Information Processing conference series. His research is supported by grants such as the NSF-funded Quantum Information Science initiative. Education: PhD in Mathematics, MIT (2000) His research interests span quantum computing algorithms, representation theory of vertex algebras, and applications of algebraic methods to integrable systems. Notable achievements include the development of quantum coherent state transforms and the classification of dynamical Lie algebras in spin systems. Bakalov is actively involved in advancing quantum technologies through interdisciplinary collaborations. His publications explore topics such as logarithmic vertex algebras, Poisson pseudoalgebras, and quantum signal processing. He is affiliated with the Algebra and Combinatorics Research Group and the Topology, Geometry, and Mathematical Physics Research Group at NC State. Grants and Leadership: Leads DOE quantum computing projects and directs graduate programs, shaping the next generation of mathematicians and quantum scientists. Labs/Teams: Part of the NC State Quantum Initiative, fostering collaborative research in quantum technologies.

Jens Hornbostelمشاهده پروفایل

استاد

• Algebraic Topology
• K-Theory
• Witt Groups
• +۷ مورد دیگر

Prof. Dr. Jens Hornbostel is affiliated with the Bergische Universität Wuppertal as a Professor in the Department of Mathematics and Computer Science under the Faculty of Mathematics and Natural Sciences. He actively contributes to the Arbeitsgruppe Topologie and serves as Speaker and Principal Investigator of the DFG-GRK 2240 on algebro-geometric methods in topology. Research focuses on algebraic topology, K-theory, Witt groups, and motivic homotopy theory. Key themes in recent publications include Real Topological Hochschild Homology, Schubert calculus in algebraic cobordism, and tensor-triangulated categories. He is a member of the Journal of Homotopy and Related Structures editorial board and participates in DFG-SPP 1786 and other committees. Former advisees include PhD students Ruth Joachimi and Herman Rohrbach, as well as postdocs like Valentina Kiritchenko and Jeremiah Heller.

• Integral Geometry
• Finsler Geometry
• Riemannian Geometry
• +۲ مورد دیگر

Prof. Andreas Bernig is a faculty member at Goethe University Frankfurt am Main, affiliated with the Department of Computer Science and Mathematics. He has held a W3 professorship in Differential Geometry since October 2009 and served as Dean of the Faculty (2017-2019) and Director of the Institute for Mathematics (2022-2024). His research spans Integral Geometry, Finsler Geometry, Riemannian Geometry, Geometric Inequalities, and Geometric Measure Theory, with a focus on valuations, kinematic formulas, and curvature measures in singular and pseudo-Riemannian settings. His recent publications explore topics such as the Hard Lefschetz theorem in convex valuation theory Weyl principle for Kähler manifolds Kinematic formulas in pseudo-Riemannian space forms Dual area measures in Hermitian integral geometry Invariant valuations on complex and quaternionic spaces These works often involve collaborations with leading mathematicians like J.H.G. Fu, Gil Solanes, and Thomas Wannerer. Prof. Bernig has received notable scientific recognition, including First prize at the German Mathematical Olympiad (1991, 1992) DFG and SNFS funding for projects like "Invariants of Singular Spaces" and "Tensor Valuations" He has supervised doctoral and Master’s students such as Luca Iffland, Frederik Herget, and Frank Steinke, and actively participates in international conferences and workshops in integral geometry, convex geometry, and geometric analysis.

Or Brookمشاهده پروفایل

دانشیار

• Competition Law and Policy
• Antitrust
• Regulation
• +۳ مورد دیگر

Dr. Or Brook is an Associate Professor of Competition Law and Policy at the School of Law, University of Leeds, and Deputy Director of the Centre for Business Law and Practice. They hold interdisciplinary qualifications, including a PhD from the Amsterdam Centre for European Law and Governance, an LLM in European Competition Law from the University of Amsterdam, and degrees in Law and Economics from the Hebrew University of Jerusalem. Research focuses on international EU competition law, antitrust, and empirical legal methods. Notable projects include the Priority Setting Project (funded by ESRC) and a comprehensive study of judicial review in EU competition law. They co-edit the Research Handbook on Abuse of Dominance and lead the UK branch of ASCOLA, contributing to policy discussions through international collaborations. Education: PhD in Law, University of Amsterdam LLM in European Competition Law, University of Amsterdam LLB and BSc in Economics, Hebrew University of Jerusalem Research interests emphasize empirical analyses of legal texts, institutional enforcement practices, and competition law’s intersections with other regulatory frameworks. Recent monograph Non-Competition Interests in EU Antitrust Law (Cambridge UP, 2022) presents novel empirical data on public policy influences in EU competition enforcement. Key awards include the Michael Beverley Innovation Fellowship (associated member), supporting entrepreneurial academic initiatives. Their work bridges law and economics through interdisciplinary methods, advocating for empirical rigor in European legal scholarship.

• Differential Geometry
• Geometric Flows
• Ricci Flow
• +۴ مورد دیگر

Prof. Miles Simon is a University Professor at the Institute for Analysis and Numerical Analysis (IAN) at Otto von Guericke University Magdeburg. His research focuses on geometric flows, particularly Ricci flow and mean curvature flow, with emphasis on singular metric spaces, curvature estimates, and geometric evolution equations. He has held academic positions since 1998, including postdoctoral roles at Max Planck Institute, Humboldt University Berlin, and Albert Ludwigs University Freiburg before becoming a full professor in 2011. Education: Completed his PhD at Melbourne University (1997) with a thesis on Ricci flow pinching phenomena. He obtained his Habilitation at Freiburg (2007) and has extensive postdoctoral training across leading institutions. Teaching: Regularly instructs advanced courses in differential geometry, geometric evolution equations, and analysis. Recent courses include Analysis III, Funktionentheorie, Differentialgeometrie II, and seminars on geometric analysis topics. Research Contributions: Over 20 peer-reviewed articles since 2000, focusing on Ricci flow regularity, curvature estimates, soliton dynamics, and geometric limit spaces. Notable work includes extending Ricci flows in 4D with bounded curvature and analyzing singularities in 3D geometries. Leadership: Project leader in DFG's SPP 2026 'Geometry at Infinity' and organizer of international workshops on nonlinear geometric diffusion equations. Active in academic administration and mentoring PhD students. Lab/Team: Supervises graduate researchers including Dr. Florian Litzinger and M.Sc. Priyamvada Vishwamitra, focusing on geometric flow applications and singularity analysis.

SEHER ASLANCIمشاهده پروفایل

استاد

• Geometry
• Differential Geometry
• Riemannian Geometry
• +۵ مورد دیگر

Prof. SEHER ASLANCI is a Professor of Mathematics Education at ALANYA ALAADDİN KEYKUBAT UNIVERSITY, Faculty of Education. Her academic journey includes roles such as Vice Dean (2022–2023) and Department Head (2017–2018). She holds a Doctorate in Geometry from Atatürk University (2011). Research focuses on differential geometry (tensors, Riemannian structures) and mathematics education (bibliometric analyses of pedagogical methods like inquiry-based learning and realistic mathematics education). Publications span 20+ years, emphasizing geometric structures and educational methodologies. Awards include TUBITAK's UBYT grants (2009, 2011, 2014). Administrative roles include Scientific Research Commission membership (2020–2021) and Mevlana Exchange Program coordination (2016–2017). Education: Integrated PhD (Geometry), Atatürk University, 2011 Mathematics Teaching Programme, Atatürk University, 1999–2004 Awards: Encouragement of International Scientific Publications (TUBITAK UBYT-2014) Encouragement of International Scientific Publications (TUBITAK UBYT-2011) Encouragement of International Scientific Publications (TUBITAK UBYT-2009) Research themes blend pure geometry (tensor bundles, complex structures) with applied educational studies (bibliometric trends in tech-enhanced learning). Recent work explores heat flux control systems and deformations in geometric structures.

Mohammad Javad Latifiمشاهده پروفایل

پژوهشگر

• Mathematical Physics
• Geometry
• Applied Mathematics
• +۳ مورد دیگر

Mohammad Javad Latifi is a Researcher at Dartmouth College's Department of Mathematics. He holds a PhD in Mathematics from the University of Arizona and focuses on Mathematical Physics, Geometry, Applied Mathematics, and Data Science. His research bridges theoretical work in quantum field theory and dynamical systems with applied areas like machine learning and numerical modeling of physical systems. Research Highlights: Developed kernel smoothing techniques for sea-ice dynamics modeling. Advanced the theory of star transforms and V-line tomography in imaging and inverse problems. Contributed to tensor network approximations of Koopman operators in nonlinear dynamics. Collaborated on multi-level graph spanners and optimization algorithms. Teaching: Taught undergraduate courses including Differential Equations (Math 23) and Linear Algebra (Math 22). Designed visualizations for vector calculus and ODEs, emphasizing conceptual understanding and real-world applications. Software & Projects: Developed KSPoly , a Python package for smooth field approximations in polygonal geometries. Created a sound visualization tool exploring numerical sequences as musical patterns. Contributed to Lunewave's radar and autonomous vehicle software, implementing C++ algorithms for object tracking and data analysis.

• Stable Homotopy Theory
• Chromatic Homotopy Theory
• Tensor Triangulated Geometry
• +۳ مورد دیگر

Drew Heard is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Trondheim, supported by the Trond Mohn Foundation. His research bridges stable homotopy theory and tensor triangulated geometry, with a focus on chromatic homotopy theory, Balmer spectra, and descent techniques. He has collaborated extensively with researchers at institutions like Regensburg University, Haifa University, and the Max Planck Institute for Mathematics in Bonn. Key Research Areas: Stable homotopy theory, chromatic homotopy theory, tensor triangulated geometry, and equivariant homotopy theory. Publications: His work includes classifications of thick subcategories in functor calculus, cosupport theory, and stratification theorems in equivariant homotopy theory. Recent papers explore connections between tensor triangulated geometry and algebraic structures like Picard groups, Balmer spectra, and local duality. Grants and Collaborations: Supported by the Trond Mohn Foundation, he has worked with teams at the SFB Higher Invariants, SPP 1786, and in projects like 'tt-geometry in Trondheim.'