جست‌وجوی استاد و پژوهشگر

• Semiconductor Theory
• Quantum Transport
• Condensed Matter Physics
• +۳ مورد دیگر

Michael Godfrey serves as a Lecturer in the Department of Physics and Astronomy, focusing on theoretical physics research. His primary affiliation is with the Theoretical Physics Research Group where he investigates complex quantum and condensed matter systems. His research spans semiconductor theory including carrier dynamics in quantum wells and dots, many-body effects in dense carrier gases, and quantum transport phenomena. Key interests involve phase coherence loss mechanisms, thermionic emission processes, and k·p approximations for semiconductor heterostructures. He also explores the quantum theory of mechanical systems with holonomic and nonholonomic constraints. Analysis of his publication trends reveals strong focus on glass transitions , jammed states , and amorphous systems through statistical mechanics approaches. His recent work connects semiconductor physics with fundamental condensed matter questions about length scales, correlation phenomena, and dynamical heterogeneity in confined systems. Dr. Godfrey has supervised postgraduate research as indicated by his supervised work record. His research output demonstrates consistent contributions to top physics journals including Physical Review Letters and Journal of Statistical Mechanics. His laboratory work involves theoretical modeling of quantum systems using non-equilibrium Green's function methods, density-matrix techniques, and computational simulations of hard-sphere packings and confined fluids.

Charlotte Dombrowskyمشاهده پروفایل

پژوهشگر

• Modular Forms
• L-Functions
• Number Theory
• +۳ مورد دیگر

Charlotte Dombrowsky is a researcher at Leiden University's Mathematical Institute, specializing in modular forms and L-functions. She works within the Department of Number Theory, Algebra, and Geometry. Her research focuses on modular forms with non-square-free levels and their twists, including central values of L-functions. She has presented at international conferences such as Journées Arithmétiques and the Dutch Analytic Number Theory Symposium. At Leiden, she has served as a teaching assistant for courses ranging from Algebraic Number Theory to Calculus for Political Science Students. She holds a Bachelor's and Master's in Mathematics from ETH Zurich, supervised by Maryna Viazovska for her Master thesis. She co-organizes informal activities for women in the Mathematical Institute and served as PhD representative on the Institute Council (2022-2024). Her recent publications include studies on divisor sums with missing digits and probabilistic approaches to geometric packings.

• Operations Research
• Optimization
• Computational Geometry
• +۳ مورد دیگر

Igor S. Litvinchev is a researcher in the fields of Operations Research , Optimization , and Computational Geometry . His work focuses on mathematical modeling, algorithm design, and applications in industrial engineering, particularly packing and placement problems under geometric constraints. Research Interests: Sphere/ellipse packing, convex hull optimization, Lagrangian heuristics, and applications in additive manufacturing and wireless networks. Recent Collaborations: Co-authoring with Tatiana E. Romanova, Luis Infante, and Aleksandr V. Pankratov on packing problems and facility location models. Key Publications: 2024 studies on parabolic containers , quasi-containment , and soft polygon packing , alongside 2023-2020 works on 3D clusters, circular layouts, and R&D portfolio optimization. Editorial Contributions: 2022 editorial on digitization in organizations, reflecting his interest in real-time systems and academic collaboration.

Maryna Viazovskaمشاهده پروفایل

استاد

• Discrete Geometry
• Analytic Number Theory
• Harmonic Analysis
• +۳ مورد دیگر

Maryna Viazovska is a full professor at the École Polytechnique Fédérale Lausanne (EPFL). She previously held a postdoctoral position at Humboldt University in Berlin and earned her PhD from the University of Bonn in 2013. Her research focuses on discrete geometry, analytic number theory, and harmonic analysis, with groundbreaking contributions to sphere packing problems in dimensions 8 and 24. These solutions resolved longstanding conjectures using innovative modular forms techniques. Education: Bachelor's in Mathematics from Kiev National University (2005), Master's from University of Kaiserslautern (2007), PhD from University of Bonn (2013). Her doctoral work under Don Zagier addressed the Gross-Zagier Conjecture, while earlier collaborations with A. Bodarenko and D. Radchenko resolved the Korevaar-Meyers conjecture on spherical designs. Her research contributions emphasize geometric optimization and modular forms applications, with implications for discrete geometry and theoretical physics. The 2017 Ramanujan Prize recognized her work's transformative impact, particularly the sphere packing solutions and modular forms innovations.

Jessica Bariffiمشاهده پروفایل

پژوهشگر

• Coding Theory
• Cryptography
• Information Theory
• +۴ مورد دیگر

Dr. Jessica Bariffi is a postdoctoral researcher at the Technical University of Munich (TUM) within the Associate Professorship of Coding and Cryptography led by Prof. Antonia Wachter-Zeh. Her work focuses on coding theory applications for DNA storage and post-quantum cryptography. Previously, she earned her PhD from the University of Zurich under Prof. Joachim Rosenthal while conducting full-time research at the German Aerospace Center (DLR)'s Quantum-Resistant Cryptography Group. Her research interests span coding theory intersections with probability, number theory, combinatorics, algebra, and cryptography. Notable collaborations include work with Hannes Bartz, Violetta Weger, and Thomas Jerkovits on Lee metric codes, sum-rank metrics, and MacWilliams identities. Recent publications emphasize sphere-packing bounds in sum-rank metrics, LDPC code performance analysis, and cryptographic code design. She actively presents at conferences such as IEEE Globecom and SIAM Applied Algebraic Geometry.

• Combinatorics
• Discrete Geometry
• Computational Geometry
• +۴ مورد دیگر

Julian Thoralf Pfeifle is a Professor in the Department of Mathematics at Universitat Politècnica de Catalunya (UPC), affiliated with the School of Industrial, Aerospace and Audiovisual Engineering of Terrassa (ESEIAAT). He leads the GAPCOMB research group focused on Geometric, Algebraic and Probabilistic Combinatorics, and maintains strong connections with the Faculty of Mathematics and Statistics (FME). Dr. Pfeifle's research spans combinatorial geometry, polytope theory, and discrete structures with emphasis on the interplay between geometric configurations and algebraic methods. His work explores fundamental questions about realizability of combinatorial structures, symmetry in polytopes, and connections between graph theory and geometric representations. He employs both theoretical approaches and computational techniques to investigate lattice points in polytopes, Ehrhart polynomials, and triangulations of point configurations. Analysis of his recent publications reveals a sustained focus on Plücker relations, non-realizability certificates, and symmetry properties in polytopes. His research demonstrates consistent theoretical depth while maintaining connections to computational applications. The interdisciplinary nature of his work bridges pure combinatorics with practical computational geometry problems. Dr. Pfeifle has received the Richard Rado Preis, a significant recognition in combinatorial mathematics. His research has been supported by multiple competitive grants including projects under Spain's Plan Estatal de Investigación Científica. As an academic advisor, Dr. Pfeifle has supervised doctoral students including Dall, A. (Matroids: h-vectors, zonotopes, and Lawrence polytopes) and Padrol, A. (Neighborly and almost neighborly configurations, and their duals). He has also been involved in educational innovation projects such as the development of interactive learning tools for mathematics education and served on conference committees including FPSAC 2010. Leading the GAPCOMB research group, Dr. Pfeifle coordinates a collaborative team investigating the intersections of geometric, algebraic, and probabilistic approaches to combinatorial structures. The group's work continues to advance understanding of discrete mathematical objects and their applications across multiple domains.

• Geometric group theory
• Gromov hyperbolic groups
• Right-angled Artin groups
• +۵ مورد دیگر

Lorenzo Ruffoni is an Assistant Professor at Binghamton University, State University of New York, in the Department of Mathematics and Statistics. He previously held postdoctoral positions at Tufts University (with Genevieve Walsh) and Florida State University (with Phil Bowers). He earned his PhD in Mathematics from the University of Bologna under Stefano Francaviglia. His research focuses on geometric group theory, hyperbolic groups, cube complexes, and complex/hyperbolic/projective structures on manifolds. He has contributed to topics such as cubulation of hyperbolic groups, circle packings on surfaces with conical singularities, and deformations of projective structures. His work often intersects with low-dimensional topology and differential geometry. His research interests include: Geometric group theory (e.g., Gromov hyperbolic groups, right-angled Artin groups). Complex and hyperbolic structures on surfaces and higher-dimensional manifolds. Projective structures, conformal geometry, and Teichmüller theory. Ruffoni has published widely in journals like Inventiones Mathematicae , Proceedings of the American Mathematical Society , and Algebraic and Geometric Topology . His articles explore themes such as cubulation techniques, geometric invariants of manifolds, and deformations of geometric structures. He has also organized conferences and given talks at institutions like Tulane University and the CRM Montreal. His research is supported by grants from the Simons Foundation.

• Algebraic Geometry
• Optimization and Control
• Symbolic Computation
• +۳ مورد دیگر

Simone Naldi is a Lecturer (Maître de conférences) in Applied Mathematics at the University of Limoges, France, since 2017. His research focuses on algebraic geometry, optimization, and symbolic computation, with applications to semidefinite programming and linear matrix inequalities. He holds a PhD from CNRS-LAAS in Toulouse and has held postdoctoral positions at the University of Dortmund and the Fields Institute in Toronto. His work includes developing algorithms for solving polynomial systems and creating the SPECTRA library for exact LMI solutions. He has collaborated on projects involving geometric configurations, hyperbolic curves, and infeasibility certificates for optimization problems. Key research areas include semidefinite programming, algebraic certificates for moment problems, and computational tools for polynomial equations. He actively contributes to conferences like Structured Matrix Days and has been supported by institutions like the Simons Foundation. His recent work addresses degenerate systems and geometric configurations of spheres in tetrahedrons, reflecting his interdisciplinary approach combining pure mathematics with algorithmic development.

Georg Graseggerمشاهده پروفایل

پژوهشگر

• Rigidity Theory
• Symbolic Computation
• Algebraic Geometry
• +۳ مورد دیگر

Georg Grasegger is a Researcher in the Symbolic Computation group at the Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences. His work focuses on rigidity theory, algebraic geometry, and symbolic computation with applications to combinatorial and geometric structures. Research interests include rigidity of graphs and frameworks, algebraic differential equations, and geometric configurations. Recent work explores paradoxical motions of graphs, flexible polyhedra, and counting realizations of rigid structures using algebraic methods. Publications highlight contributions to graph rigidity, computational geometry, and algebraic combinatorics, with a focus on theoretical foundations and algorithmic approaches. His research bridges discrete mathematics and applied algebraic geometry. Contributions include software tools like FlexRiLoG for studying graph motions and RigiComp for computational rigidity analysis. No notable awards are listed, though his work is widely cited in combinatorial geometry and symbolic computation fields. Labs/Teams: Active in RICAM's Symbolic Computation group, collaborating with institutions on geometric and algebraic problems. Supervises research projects on rigidity and discrete structures.

Alexey Glazyrinمشاهده پروفایل

استاد

• Discrete Geometry
• Computational Geometry
• Geometry of Numbers
• +۳ مورد دیگر

Alexey Glazyrin is a Professor in the School of Mathematical & Statistical Sciences at the University of Texas Rio Grande Valley. He holds a Ph.D. in Mathematics from Moscow State University (2009), advised by Nikolay Dolbilin. His research focuses on discrete and computational geometry, geometry of numbers, and combinatorics. He teaches undergraduate and graduate courses such as Differential Equations and Topology, and his office hours are scheduled Monday/Wednesday 3:00-4:30 PM. He organizes the Discrete Geometry and Algebraic Combinatorics Conference in South Padre Island, TX. His work bridges geometric optimization and combinatorial configurations, with recent contributions to covering problems, energy minimization, and sphere packing. Key themes include plank covering theorems, extremal point configurations, and optimal spherical codes. Grants: NSF RUI grant (2021) for research on point configurations in Euclidean spaces. Publications: Over 40 papers in journals like Mathematische Zeitschrift , Advances in Mathematics , and Discrete & Computational Geometry . His research explores interplays between geometry and algebra, with applications to coding theory and geometric tomography.

Stephen Millerمشاهده پروفایل

استاد

• Automorphic Forms
• L-functions
• Analytic Number Theory
• +۳ مورد دیگر

Stephen Miller is a Distinguished Professor of Mathematics at Rutgers, The State University of New Jersey, affiliated with the Department of Mathematics within the School of Arts and Sciences. His research focuses on automorphic forms, L-functions, analytic number theory, lattices, sphere packing, and cryptography. He has advised numerous PhD students, including Nicholas Backes, Forrest Thurman, Doyon Kim, and others. Miller collaborates across disciplines with physicists and computer scientists, emphasizing applications in cryptography and representation theory. His work includes groundbreaking contributions to sphere packing solutions and cryptographic algorithms. Education details are not explicitly provided in the text, but his academic career includes roles at Yale University and Hebrew University, teaching advanced courses in number theory, functional analysis, and cryptography. His research has been supported by collaborations with institutions like Yeshiva University and Microsoft Research. Miller’s publications span topics from automorphic distributions to cryptographic security, with notable papers on sphere packing in dimensions 8 and 24, and the study of L-functions. He has also contributed to expository works, such as analyzing the NFL schedule through cryptanalysis techniques.

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 .

• Dynamical Systems
• Topology
• Differential Geometry
• +۳ مورد دیگر

Krystyna Kuperberg is the Alumni Professor of Mathematics at Auburn University. She obtained her undergraduate degree from the University of Warsaw and her Ph.D. from Rice University in 1974. Her research focuses on dynamical systems, topology, and geometric analysis, with notable contributions including a smooth counterexample to the Seifert conjecture (1994), which revolutionized the study of vector fields on 3-spheres. She has held major invited speaking roles at the American Mathematical Society, Mathematical Association of America, and International Congress of Mathematicians. Kuperberg has also contributed to the field through editorial work and leadership in topology and geometry. Education: B.Sc. (University of Warsaw), Ph.D. (Rice University, 1974). Key Research Areas: Dynamical systems, topological dynamics, geometric topology, and discrete geometry. Scientific Awards: AWM Emmy Noether Lecture (2003). Major Publications: Over 30 articles in leading journals including Annals of Mathematics, Duke Mathematical Journal, and Topology and its Applications. Her work frequently explores topological structures, including invariant sets, homeomorphisms, and counterexamples in dynamical systems. She has collaborated with mathematicians such as Gregory Kuperberg and Włodzimierz Kuperberg, advancing studies in convex geometry and tiling problems.

Ignaas S.M. Jimidarمشاهده پروفایل

پژوهشگر

• Particle Assembly
• Microsphere Technology
• Surface Science
• +۵ مورد دیگر

Ignaas S.M. Jimidar is an active Researcher in the Mesoscale Chemical Systems group at the University of Twente's Faculty of Science and Technology. His work bridges materials science, microfluidics, and surface engineering with practical applications in chromatography and energy harvesting systems. With 36 research outputs between 2016-2025, he has established himself as a specialist in dry particle assembly techniques that eliminate traditional solvent-based approaches. Dr. Jimidar's research focuses on particle assembly , particularly solvent-free methods for organizing microspheres into ordered monolayers and arrays. His fingerprint analysis reveals dominant work in particle assembly (100%), microsphere technology (87%), and surface science (69%). Recent publications demonstrate increasing output, with 12 papers in 2022 and 6 in 2024, showing growing impact in the field. His work on triboelectric effects and vacuum-driven assembly represents a significant shift toward environmentally friendly fabrication methods that could revolutionize microfluidic device manufacturing. His notable scientific achievements include: 2018 MNE Micro-Nano Graph Contest - Third Place 2024 APS GSNP Image of the Month 2024 MSB Young Scientists Award (2nd place) Dr. Jimidar actively participates in the scientific community as Chair of the 99th ACS Colloids & Surface Science Symposium (2024-2025), previously served as a participant in the APS March Meeting 2023, and conducted visiting research at the University of Warwick in August 2022. His media presence includes three public engagement activities in 2024 discussing micro-and nanoparticle control for chemical analysis and solvent-free assembly techniques. The researcher maintains strong industry connections through applications in chromatography technology and energy harvesting devices.

Matthew Fickusمشاهده پروفایل

استاد

• Applied Harmonic Analysis
• Frame Theory
• Compressed Sensing
• +۷ مورد دیگر

Matthew Fickus is a Professor of Mathematics at the Air Force Institute of Technology (AFIT), within the Graduate School of Engineering and Management. His research lies at the intersection of applied harmonic analysis, frame theory, and mathematical signal processing, with a strong focus on equiangular tight frames, fusion frames, and combinatorial constructions in coding and geometry. His educational background includes a PhD in Mathematics from the University of Maryland, College Park (2001), an MS in Applied Mathematics, and a BS in Mathematics, both from the University of Maryland, Baltimore County. Dr. Fickus's research interests span Applied Harmonic Analysis , Frame Theory , Compressed Sensing , Signal Processing , and Combinatorial Design . He investigates structured mathematical frameworks for optimal signal representation, particularly focusing on equiangular tight frames and their algebraic, geometric, and combinatorial properties. His work often bridges pure mathematics with engineering applications in imaging, coding, and data science. The trend in his recent publications reveals a deep and sustained exploration of equiangular tight frames, Grassmannian packings, and their connections to finite geometry, difference sets, and algebraic structures. His research integrates tools from linear algebra, functional analysis, and discrete mathematics to solve problems in optimal frame design and signal reconstruction. These works are published in high-impact journals such as Applied and Computational Harmonic Analysis , IEEE Transactions on Information Theory , and Linear Algebra and its Applications . While no scientific awards are explicitly listed in the provided text, his extensive publication record and editorial contributions (e.g., book chapters in Finite Frames: Theory and Applications ) reflect significant recognition in his field. Dr. Fickus has mentored numerous students and collaborators, though specific names are not listed. He has received research support likely through AFIT and Air Force funding, enabling sustained contributions to mathematical engineering. His work frequently involves interdisciplinary teams, particularly in biomedical image analysis and signal processing applications. He is affiliated with the Department of Mathematics at AFIT, where he conducts research in mathematical signal processing and frame theory, contributing to both theoretical advances and practical implementations in defense and engineering contexts.