جست‌وجوی استاد و پژوهشگر

Maya Miteva Stoyanovaمشاهده پروفایل

استاد

• Coding Theory
• Spherical Codes and Designs
• Orthogonal Arrays
• +۴ مورد دیگر

Professor Maya Miteva Stoyanova is a distinguished academic at Sofia University "St. Kliment Ohridski", serving as Dean of the Faculty of Mathematics and Informatics (FMI) and Professor in the Department of Algebra. She earned her M.Sc. in 1992 and Ph.D. in 2009 from the same institution, with a career progression from Assistant Professor (1999) to her current position as Professor (since 2021). Her research focuses on Coding Theory, particularly spherical codes and designs, orthogonal arrays, and energy minimization of combinatorial configurations in polynomial metric spaces. She also contributes significantly to Algebra, Combinatorics, and Number Theory. Her work bridges theoretical mathematics with practical applications in information theory and discrete geometry. Professor Stoyanova's recent publications (2018-2023) demonstrate a consistent research trajectory in spherical codes, orthogonal arrays, and energy bounds, primarily through collaborations with prominent mathematicians like Peter Boyvalenkov, Peter Dragnev, Douglas Hardin, and Edward Saff. Her work appears in high-impact journals such as Journal of Mathematical Analysis and Applications, IEEE Transactions on Information Theory, and Designs, Codes and Cryptography. She has successfully supervised doctoral students including Tanya Todorova Marinova and Tedis Arben Ramaj, whose research continued her work on orthogonal arrays and combinatorial configurations. Her academic leadership is evident through her role as Head of the Department of Algebra (2016-2020) and her current position as Dean of FMI. Professor Stoyanova maintains an active research profile with numerous publications in top-tier mathematics journals, reflecting her significant contributions to discrete mathematics and coding theory. Her work on distance distributions, energy bounds, and spherical designs represents cutting-edge research in combinatorial geometry.

Jeffrey Grahamمشاهده پروفایل

دانشیار

• Applied Mathematics
• Computational Mathematics
• Numerical Analysis
• +۶ مورد دیگر

Jeffrey Graham is an Associate Professor in the School of Math and Computer Sciences at Susquehanna University, where he has served as Head of Mathematical Sciences since 2007. He previously held roles as Acting Head of Physics (2009–2014) and Assistant Professor (2001–2007), with earlier experience at Western Carolina University (1992–2001). PhD in Mathematics (1992), Rensselaer Polytechnic Institute MS in Mathematics (1986), Texas Tech University BS in Computer Science and Mathematics (1984), Iowa State University His research bridges mathematics and computer science, focusing on inverse problems, differential equations, and computational methods. He has pioneered educational technologies, including MATLAB GUIs and Excel-based tools, and explored intersections with music theory via group theory applications. Jeffrey’s recent publications span quantum computing (2010), financial mathematics (2014), and leadership strategies (2011), reflecting his interdisciplinary approach. His work emphasizes pedagogical innovation and computational modeling across fields. Jeffrey has secured multiple grants, including NSF travel funding (1993), Microsoft instructional lab support (1997), and NSF REU grants (2008–2010). He has served on editorial boards, curriculum committees, and search committees, demonstrating institutional leadership.

Karl Liechtyمشاهده پروفایل

استاد

• Random Matrix Theory
• Probability Theory
• Statistical Physics
• +۳ مورد دیگر

Karl Liechty serves as Professor and Associate Chair in the Department of Mathematical Sciences at DePaul University's College of Science and Health. He joined DePaul in 2014 after completing his PhD at Purdue University (2010), a postdoc at the Mathematical Sciences Research Institute, and three years at the University of Michigan. Promoted to Associate Professor with tenure in 2018 and full Professor in 2025, he maintains an active research program in mathematical sciences. His educational background includes: PhD in Mathematical Sciences, Purdue University (2010) Liechty's research centers on random matrix theory with deep connections to probability, statistical physics, and integrable systems. He specializes in asymptotic analysis of orthogonal polynomials and determinantal processes, particularly examining non-intersecting paths, six-vertex models, and Painlevé equations. His work bridges theoretical mathematics with physical applications, focusing on universal behavior in critical systems and phase transitions. Methodologically, he employs Riemann-Hilbert techniques and Fredholm determinant analysis to derive asymptotic expansions for complex systems. His 15 most recent publications (2013-2025) demonstrate consistent focus on asymptotic methods in integrable probability, with increasing emphasis on multi-component systems like the k-tacnode process and boundary statistics in lattice models. Key themes include universality class transitions, singular behavior propagation, and connections between random matrices and statistical mechanical models. Scientific recognition includes: Gabor Szego Prize (SIAM, 2015) for contributions to orthogonal polynomials and special functions Simons Collaboration Grant (2015) supporting collaborative research in mathematics Liechty actively mentors through the Chicago Math Teacher's Circle and Math Circles of Chicago, developing K-12 enrichment programs. His research collaborations span institutions including the University of Michigan, Purdue, and international partners in Belgium and Russia. Current work focuses on boundary effects in integrable systems and finite-temperature fermion models, supported by ongoing Simons Foundation collaboration. He maintains leadership through his Associate Chair role, overseeing curriculum development and faculty coordination in the Mathematical Sciences department while sustaining high-impact publications in top probability and mathematical physics journals.

Alina Ostafeمشاهده پروفایل

دانشیار

• Number Theory
• Dynamical Systems
• Diophantine problems
• +۵ مورد دیگر

Alina Ostafe is an Associate Professor in the School of Mathematics and Statistics at The University of New South Wales (UNSW) in Sydney, Australia. She joined UNSW in 2013 as a Postdoc and has steadily progressed through the academic ranks to her current position as Associate Professor since January 2023. Her research focuses on the intersection of number theory and dynamical systems, with particular emphasis on arithmetic properties of polynomial iterations and Diophantine problems. Dr. Ostafe received her PhD in 2010 from the Institute of Mathematics at the University of Zurich, Switzerland, following an MSc from the University of Bucharest, Romania in 2007. Her academic journey includes postdoctoral positions at both UNSW and Macquarie University before her appointment to the faculty. Her research interests span several interconnected areas within number theory and dynamical systems. She investigates Diophantine problems, polynomials and rational functions over local and global fields, finite fields, and arithmetic statistics of matrices. Within dynamical systems, her work focuses on the arithmetic properties of elements in orbits and algebraic properties of iterates. This research bridges classical number theory with modern dynamical systems theory, yielding insights into the distribution of special points in algebraic dynamical systems. An analysis of her recent publications reveals a strong focus on counting problems in arithmetic statistics, particularly concerning matrices with number-theoretic constraints. Her work frequently examines multiplicative dependence in various contexts, including linear recurrence sequences, rational values modulo finitely generated groups, and superelliptic equations. She also investigates the distribution of special points in dynamical systems, with applications to quantum ergodicity and character sums. Dr. Ostafe has received significant recognition through multiple competitive grants: Australian Research Council Future Fellowship (2026-2029) Multiple Australian Research Council Discovery Projects (2018-2026) UNSW Science Faculty Research Grants (2015-2025) UNSW Start-up Grant (2017) UNSW Vice-Chancellor's Postdoctoral Fellowship (2013-2016) Swiss National Science Foundation Grants (2010-2013) As an advisor, Dr. Ostafe currently supervises PhD student Muhammad Afifurrahman and has mentored several postdoctoral researchers including Subham Bhakta, Kamil Bulinski, Ali Mohammadi, Ayreena Bakhtawar, and Jorge Mello. She is actively involved in the mathematical community through her editorial role at Research in Number Theory and her organization of numerous conferences and seminars, including the Number Theory Web Seminar and the UNSW Number Theory Seminar. Dr. Ostafe is a key organizer of the UNSW Number Theory Seminar, which has been running since 2015, and has co-organized multiple international conferences including workshops at BIRS, MFO, and CIRM. Her leadership in the number theory community extends to her role as co-organizer of the Number Theory Web Seminar, which has built an international platform for researchers in the field.

Vasilisa Shramchenkoمشاهده پروفایل

استاد

• Algebraic Geometry
• Mathematical Physics
• Integrable Systems
• +۴ مورد دیگر

Vasilisa Shramchenko serves as Full Professor and Associate Director of Graduate Studies and Research in the Department of Mathematics at the University of Sherbrooke. Her work bridges advanced algebraic geometry with mathematical physics, focusing on structural frameworks governing complex systems. Educational background: Master of Science in Mathematics, St. Petersburg State University (2000) Ph.D. in Mathematics, Concordia University (2005) Her research program integrates Frobenius manifolds, integrable systems, and Riemann surface theory through the lens of isomonodromic deformations and Riemann-Hilbert problems. Key contributions include foundational work on Hurwitz spaces, Painlevé equations, and Eynard-Orantin topological recursion, revealing deep connections between algebraic curves, moduli spaces, and differential equations. This interdisciplinary approach extends to combinatorial enumeration and quantum field theory applications. Publication trends indicate sustained focus on algebro-geometric methods for solving nonlinear systems, with recent work emphasizing cluster algebras and superelliptic curve structures. Her output consistently appears in high-impact journals spanning mathematical physics and pure mathematics. Scientific recognition: No awards explicitly documented in source material Administrative leadership in graduate studies complements her research role, though specific grant funding or advisee information remains unreported. She actively contributes to the Algebraic and Geometric Structures Research Team and the Sherbrooke Mathematics Circle, fostering collaborative exploration of mathematical frontiers.

Danni Novakovicمشاهده پروفایل

مدرس ارشد

• Cryptography
• Information Security
• Formal Methods of Specification
• +۴ مورد دیگر

Dr. Danni Novakovic serves as a part-time Senior Lecturer Practitioner at Anglia Ruskin University within the Faculty of Science and Engineering, specializing in Computing and Information Science. She joined ARU in 2019 after holding leadership roles including Head of School of Computer Science at the University of Bedfordshire and Head of Computing at the University of West London, with an academic career spanning since 1994. Her educational background comprises: PhD in Mathematics PgCert in Teaching and Learning in Higher Education BSc in Computer Science and Mathematics Research focuses on cryptography-combinatorics intersections for security applications, formal methods, and computational theory. Recent expansions include computer music generation via genetic algorithms and self-configuring security frameworks for mobile devices, reflecting an evolution from theoretical mathematics to applied interdisciplinary security solutions. Publication trends demonstrate foundational work in permutation mathematics (1995-2000), system dynamics for institutional management (2009-2010), and contemporary security applications including EEG biometrics and smartphone anomaly detection (2014-2018), showcasing consistent contributions to cryptographic theory and practical security engineering. Professional recognition includes: Fellow of the British Computer Society Fellow of Higher Education Academy She actively supervises postgraduate research across mathematics, cryptography, and cybersecurity domains while contributing to academic leadership through program committee roles at major conferences including IEEE CIT and WEBIST, alongside extensive curriculum development and quality assurance experience.

• Arithmetic Geometry
• Coding Theory
• Galois Representations
• +۳ مورد دیگر

Jérémy Le Borgne is an Assistant Professor in the Department of Mathematics at ENS Rennes, where he has held faculty positions since 2012. He is a core member of IRMAR's Geometry and Effective Algebra Team, contributing to France's national mathematics research infrastructure through this CNRS-affiliated institute. His dual role encompasses advanced teaching from undergraduate to Agrégation levels and active research at the intersection of algebra, geometry, and computation. His educational foundation includes: ENS Cachan - Antenne de Bretagne (2005-2009) PhD in Mathematics, University of Rennes 1 (2009-2012), supervised by Xavier Caruso and David Lubicz Le Borgne's research pioneers computational approaches to arithmetic geometry, with seminal work on Ore polynomials enabling breakthroughs in Gabidulin code construction for error correction. His investigations into p-adic Galois representations bridge number theory and algorithm design, while recent studies of Hall bases for free Lie algebras reveal deep combinatorial structures applicable to differential equations. This tripartite focus creates synergies between theoretical mathematics and practical computation. Analysis of his 2010-2023 publications reveals consistent progression from foundational number theory (Ax-Sen-Tate theorem optimization) toward increasingly computational work, with 2022-2023 papers emphasizing algorithmic Lie algebra structures and nonlinear system expansions. His research demonstrates strong continuity in non-commutative algebra applications while expanding into new combinatorial territories. No formal awards are documented in public materials, though his publication record in high-impact journals like Journal of Algebra and Comptes Rendus Mathématique indicates peer recognition. His teaching portfolio spans advanced algebra courses and Agrégation preparation, with documented outreach including Lebesgue lectures and Olympiad training. As a research supervisor, Le Borgne integrates students through IRMAR's collaborative environment, though specific advisee counts aren't public. His Geometry and Effective Algebra Team provides infrastructure for computational mathematics projects, with recent work suggesting active funding for skew polynomial and Lie algebra research. The lab maintains close ties with University of Rennes 1's mathematics department, facilitating resource sharing across Rennes' academic ecosystem.