جست‌وجوی استاد و پژوهشگر

Arthemy Kiselevمشاهده پروفایل

استادیار

• Mathematical Physics
• Deformation Quantization
• Poisson Geometry
• +۴ مورد دیگر

Arthemy Kiselev is an Assistant Professor at the University of Groningen's Faculty of Science and Engineering, specifically within the Department of Mathematics at the Johann Bernoulli Institute. He has been working at the Chair of Algebra since January 2011, contributing significantly to mathematical physics research. His educational background includes: (Under)graduate studies at Lomonosov Moscow State University (summa cum laude, 2001) and Independent University of Moscow PhD in mathematical physics (2004) Professor Kiselev's research focuses on the interface of (super)geometry and quantisation, particularly examining the (non)commutative geometry of Kontsevich's deformation and Batalin-Vilkovisky's approaches to quantisation of gauge field models. His work centers on deformation quantisation, BV quantisation, geometry of differential equations, Poisson geometry, and brackets. He has developed algebraic and geometric tools for the mathematical language of fundamental physics, with particular emphasis on the geometry of variations in Batalin-Vilkovisky formalism and Kontsevich's deformation quantization. His fingerprint in research shows strong connections to Cocycle Mathematics (100%), Poisson Bracket Mathematics (95%), Vector Field Mathematics (77%), Manifold Mathematics (65%), Poisson Structure Mathematics (51%), and Partial Differential Equation Mathematics (41%). His recent publications (2023-2024) demonstrate continued exploration of Kontsevich graphs acting on Nambu-Poisson brackets, star-products for affine Poisson brackets, and associativity properties in deformation quantization. These works show a consistent focus on understanding the mathematical structures underlying quantization procedures, with particular attention to graph complexes, cocycles, and their applications to Poisson geometry. His research reveals deep connections between algebraic structures, differential geometry, and theoretical physics. Scientific recognition includes: NWO VENI post-doctoral grant at Mathematical Institute Utrecht (2008-2010) Throughout his career, Kiselev has given 107 international talks at mathematics and theoretical physics research seminars. His collaborative work with PhD and master's students, such as M.S. Jagoe Brown and F. Schipper, has produced significant results in Poisson geometry and deformation quantization. His research has been supported by various institutions including visits to prestigious centers like IHES (France), MPIM (Germany), CRM (Montreal, Canada), and SISSA (Trieste, Italy). He has held positions at institutions including ISPU in Ivanovo, Russia (as docent since 2009). Kiselev is an active member of the Geometry and Quantum Theory (GQT) research group, contributing to the vibrant mathematical physics community at Groningen. His work continues to bridge abstract mathematical structures with fundamental physical theories, particularly through the lens of deformation quantization and Poisson geometry.

• Group Theory
• Algebra
• Coding Theory
• +۳ مورد دیگر

Mima Stanojkovski is an Assistant Professor at the Department of Mathematics, University of Trento. Her research focuses on group theory, algebra, and their applications in coding theory and cryptography. She teaches courses such as Algebra B, Statistics for Data Science, and Teoria dei Gruppi, emphasizing foundational concepts in abstract algebra and their practical implications. Teaching Responsibilities: Algebra B (Department of Mathematics) Statistics for Data Science (Department of Sociology and Social Research) Teoria dei Gruppi (Department of Mathematics) Research Interests: Mima's work centers on geometric and combinatorial aspects of finite groups, modular group algebras, and cryptographic applications of algebraic structures. She explores topics such as independence complexes, rank-metric codes, and pro-p group constructions. Her recent publications address conjectures in coding theory and security analyses of homomorphic encryption schemes. Grants & Collaborations: No grants or collaborative projects explicitly listed in the provided text. Labs/Teams: No specific lab affiliations or research teams mentioned.

• Model Theory
• Mathematical Logic
• Shelah's Classification Theory
• +۵ مورد دیگر

Artem Chernikov is a Professor and the Michael Brin Endowed Chair in Mathematics at the University of Maryland, College Park. His research focuses on model theory, particularly Shelah's classification theory (stability, simplicity, NIP, NTP2), and its applications to algebra, geometry, combinatorics, and computer science. He has held academic positions at UCLA from 2015 to 2023, progressing from Assistant to Full Professor. Chernikov earned his Ph.D. in Mathematical Logic from Université Claude Bernard Lyon 1 (2012) under Itaï Ben Yaacov, and prior education includes a master's from Humboldt University Berlin and a diploma in Information Systems from the State University of Telecommunications in St. Petersburg. His research interests emphasize the interplay between model theory and combinatorics, including studies on dependent (NIP) theories, valued fields, and applications to algebraic structures. Chernikov has organized numerous conferences and workshops, including events at the Fields Institute, National University of Singapore, and CIRM. He is an editor for Model theory and Mathematical Logic Quarterly . Key awards include the Sacks Prize (2013) for best thesis in mathematical logic, Sloan Research Fellowship (2016), NSF CAREER Award (2017), and Simons Fellowship (2020). His funded projects include NSF grants exploring model-theoretic classification and its combinatorial applications. Chernikov has advised numerous graduate students (e.g., Alex Mennen, Chuyin Jiang) and postdocs (e.g., Benjamin Castle, Mariana Vicaria). He also supervises undergraduate research, including projects on logic and model theory. His work bridges foundational logic with applied areas like combinatorics and algebraic geometry.

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.

• Number Theory
• Cryptography
• Finite Fields
• +۴ مورد دیگر

Professor Igor Shparlinski is a faculty member at the University of New South Wales (UNSW) within the School of Mathematics & Statistics, holding the rank of Professor with an active research profile as evidenced by publications dated 2025. His work bridges pure number theory and cryptographic applications, maintaining international collaborations with institutions like the University of Sydney and Max Planck Institute. Research interests include: Analytic number theory (exponential/character sums) Cryptographic security (Diffie-Hellman, RSA, and pseudorandom generators) Finite field arithmetic and polynomial dynamics Arithmetic combinatorics and additive number theory Distribution of primes/smooth numbers modulo p Elliptic curve structures over finite fields His publications consistently address foundational problems with computational implications, particularly focusing on sum bounds and modular arithmetic. Recent trends (2023-2025) show intensified work on multilinear character sums, matrix statistics over finite fields, and dynamical system orbits. Key journals include Journal of Number Theory and Finite Fields and their Applications , with frequent co-authorship on exponential sum bounds and cryptographic vulnerabilities. Scientific awards: No awards, prizes, or fellowships are documented in the provided text. Advising and grants: No student listings or grant information appears in the source material. Research output suggests sustained funding but lacks explicit details.

Tuomas Orponenمشاهده پروفایل

دانشیار

• Geometric Measure Theory
• Harmonic Analysis
• Fractal Geometry
• +۴ مورد دیگر

Tuomas Orponen is an Associate Professor in the Department of Mathematics and Statistics at the University of Jyväskylä, Faculty of Mathematics and Science. His research focuses on geometric measure theory, harmonic analysis, and fractal geometry, with particular interests in incidence geometry, Fourier analysis, and metric geometry. Orponen is affiliated with the research groups for Nonlinear Partial Differential Equations and Geometric Measure Theory and Harmonic Analysis. His work explores topics such as projections of fractal sets, additive properties of fractal configurations, and geometric incidence problems. He leads projects in approximate incidence geometry, multi-scale incidence geometry, and incidences on fractals. His research trends include advancing understanding of geometric and analytic properties of fractals, exploring connections between incidence geometry and harmonic analysis, and studying the interplay between discrete and continuous geometric structures. Recent articles highlight investigations into radial projections, Kakeya-type sets, and the discretised ABC sum-product problem. Orponen has no listed scientific awards but has contributed to significant collaborative projects, including studies on Heisenberg group geometries and singular integrals. He actively publishes in top journals such as Transactions of the American Mathematical Society and Geometric and Functional Analysis. His research is anchored in two core teams: the Nonlinear PDE group and the Geometric Measure Theory team, reflecting his dual focus on analytical and geometric methodologies.

Ronald de Wolfمشاهده پروفایل

استاد

• Quantum Computing
• Complexity Theory
• Error-Correcting Codes
• +۳ مورد دیگر

Ronald de Wolf is a part-time Full Professor at the Institute for Logic, Language and Computation (ILLC), University of Amsterdam, and a researcher/group leader at the Algorithms and Complexity group of CWI (Dutch Centre for Mathematics and Computer Science). He is an active member of QuSoft and the Amsterdam Theoretical Computer Science ecosystem. His PhD was completed at CWI and ILLC, followed by postdoctoral research at UC Berkeley. Research Focus: De Wolf specializes in quantum computing, complexity theory, and algorithm design. His work explores quantum advantages in computation, communication, and learning, with applications in optimization, machine learning, and information theory. Recent investigations include quantum algorithms for linear algebra, error correction, and communication complexity. Publication Trends: His recent articles (2020-2025) predominantly focus on quantum algorithmic advantages, complexity bounds, and practical applications in machine learning and optimization. Key themes include quantum speedups for linear algebra, error-resilient quantum protocols, and theoretical limits of quantum computation. Awards & Honors: ERCIM Cor Baayen Award (2003) STOC Best Paper Award (2012) STOC Test-of-Time Award (2022) Gödel Prize (2023) Academic Leadership: He currently advises PhD student Lynn Engelberts and has graduated 10 doctoral students. As coordinator of the NWO Gravitation program Quantum Software Consortium , he oversees major research initiatives. He secured participation in EU projects (QAIP, RESQ, QAP, QCS, QALGO, QuantAlgo) and leads research teams at CWI and QuSoft.

Tim Gowersمشاهده پروفایل

استاد

• Analysis
• Combinatorics
• Additive Combinatorics
• +۲ مورد دیگر

Professor Tim Gowers is a Professor of Mathematics at the University of Cambridge, affiliated with the Department of Pure Mathematics and Mathematical Statistics (DPMMS) within the Faculty of Mathematics. He is actively involved in the Cantab Capital Institute for the Mathematics of Information and the Combinatorics research group, contributing to Cambridge's renowned mathematical community. Professor Gowers' primary research focuses on Analysis and Combinatorics, with significant contributions to additive combinatorics, harmonic analysis, and their intersections with number theory and algebraic structures. His work demonstrates deep connections between discrete mathematics and analytic methods, often revealing fundamental structures in seemingly complex problems. His recent publications (2020-2025) show a continued emphasis on combinatorial problems in additive number theory and group theory, while also expanding into interdisciplinary research at the mathematics-AI interface, particularly in evaluating language models for mathematical reasoning and developing tools for formal verification. Professor Gowers maintains an active research program with numerous collaborations with leading mathematicians including Ben Green, Terence Tao, and Julia Wolf, publishing in top-tier journals such as the Annals of Mathematics and Geometric and Functional Analysis. Based in room C2.04 at DPMMS, he continues to contribute significantly to mathematical research and education at Cambridge, with his work influencing both theoretical developments and practical applications in computational mathematics.

• Geometric Quantization
• Complex Geometry
• Mathematical Physics
• +۳ مورد دیگر

Tatyana Barron is a Professor in the Department of Mathematics at the University of Western Ontario since July 2022. She holds a Ph.D. from Pennsylvania State University (1998) and has held academic positions at institutions like the University of Michigan and the University of Arizona. Her research focuses on geometric quantization, complex geometry, and mathematical physics. She has supervised five Ph.D. students and has an extensive publication record spanning topics from Toeplitz operators to entropy analysis in quantum systems. Education: Ph.D. in Mathematics, Pennsylvania State University (1998) Bachelor's Degree, Moscow Institute of Physics and Technology (1994) Research Interests: Tatyana Barron explores geometric quantization techniques applied to complex manifolds, with particular emphasis on Kähler and multisymplectic structures. Her work bridges differential geometry, algebraic geometry, and quantum mechanics, addressing topics like automorphic forms, entropy in quantum systems, and the asymptotic properties of geometric operators. She has contributed to understanding Berezin-Toeplitz operators, entanglement in mixed states, and geometric models for therapeutic approaches involving electromagnetic fields. Her recent publications (2023-2025) highlight advancements in geometric signal theory, entanglement quantification, and semiclassical asymptotics. She has also explored mathematical models for medical applications using electromagnetic principles. Advising: Supervised five Ph.D. students focusing on topics ranging from holomorphic differentials to singular Lagrangian submanifolds. She co-supervised three of these students with colleagues in geometric analysis and differential geometry.

Carlos Cardonhaمشاهده پروفایل

استادیار

• Discrete optimization
• Mixed-integer linear programming
• Combinatorial optimization
• +۶ مورد دیگر

Carlos Cardonha is an Assistant Professor in the Department of Operations and Information Management at the University of Connecticut School of Business since 2019. He holds a Ph.D. in Mathematics from Technische Universität Berlin (2011) and degrees in Computer Science from the University of São Paulo (B.Sc. 2004, M.Sc. 2006). Previously, he worked as a Research Staff Member at IBM Research – Brazil (2012–2019). His research focuses on discrete optimization, approximation algorithms, and applications of machine learning and mathematical programming to operations research problems. He teaches courses such as OPIM 5641 (Business Decision Modeling) and OPIM 3511 (Business Data Analytics II), supported by DataCamp. Education: Ph.D. in Mathematics, Technische Universität Berlin, Germany (2011) M.Sc. in Computer Science, University of São Paulo, Brazil (2006) Bachelor in Computer Science, University of São Paulo, Brazil (2004) Research Interests: His work spans analytics, optimization, and theoretical computer science, with a focus on mixed-integer linear programming, combinatorial optimization, and algorithm design. He applies these techniques to real-world problems in scheduling, resource allocation, and machine learning model optimization. Grants & Advising: No specific grants or advisees are listed in the provided materials. Labs/Teams: Not explicitly mentioned in the text.

Moody T. Chuمشاهده پروفایل

استاد

• Numerical Ordinary Differential Equations
• Numerical Linear Algebra
• Dynamical Systems
• +۵ مورد دیگر

Moody T. Chu is a Professor in the Department of Mathematics at North Carolina State University since 1982, holding a PhD from Michigan State University. His research focuses on numerical linear algebra, dynamical systems, inverse problems, and quantum computing. He has received prestigious teaching awards including the Alumni Distinguished Undergraduate Professorship (2006) and multiple Board of Governors Awards (2010, 2013, 2014). His work bridges computational mathematics with applications in physics, engineering, and data science. Research interests include numerical methods for differential equations, tensor approximation, and quantum simulation. His articles explore topics like Cartan decomposition for quantum Hamiltonians, Lax dynamics, and low-rank tensor approximations. Over 200 publications span numerical analysis, inverse eigenvalue problems, and optimization techniques. Chu’s contributions also address algorithm design for matrix completion and structured low-rank approximations. He has advised numerous graduate students (details not listed here) and led projects on adaptive optics and stochastic processes. His work on nonnegative matrix factorization and Markov chain dynamics has influenced data mining and machine learning applications. Chu’s lab focuses on advancing computational frameworks for complex systems, emphasizing interdisciplinary collaboration.

• Functional Analysis
• Operator Theory
• Holomorphic Functions
• +۶ مورد دیگر

Maria Pilar Rueda Segado is a Professor in the Department of Mathematical Analysis at the Faculty of Mathematics, University of Valencia. She is a leading researcher in functional analysis and operator theory, with a focus on holomorphic functions, polynomials, and multilinear operators in infinite-dimensional spaces. Her work is closely associated with the ESALDI research group. Her research interests lie primarily in Functional Analysis, particularly in the areas of: Weighted spaces of holomorphic functions Summing and dominated multilinear operators and polynomials Isometries in function spaces Factorization of operators and polynomials Spaceability and norm-attaining mappings Tensor norms and operator ideals Her extensive publication record, with over 90 works since 1996, reflects a deep and sustained engagement with core problems in nonlinear functional analysis. Her publications demonstrate a consistent focus on abstract operator theory, functional ideals, and the geometry of Banach spaces, often in collaboration with prominent mathematicians such as Daniel Pellegrino, Enrique Sánchez-Pérez, and Christopher Boyd. She earned her PhD from the University of Valencia in 1997 with a thesis on infinite-dimensional holomorphy under the supervision of Dr. Pablo Galindo Pastor. She has not received any explicitly mentioned scientific awards in the provided text. She has supervised PhD students, though their names are not listed in the provided content. Her research has been supported through institutional and collaborative academic grants, typical of senior faculty in mathematical sciences. She actively collaborates with an international network of researchers in functional analysis. She is a key member of the ESALDI (Spaces and Algebras of differentiable Functions) research group at the University of Valencia, which focuses on advanced topics in functional analysis and differentiable structures in infinite dimensions.

André Uschmajewمشاهده پروفایل

استاد

• Numerical Analysis
• Tensor Methods
• Low-Rank Approximation
• +۷ مورد دیگر

Prof. Dr. André Uschmajew is a full professor and holds the Chair of Mathematical Data Science at the Institute of Mathematics, Faculty of Mathematics, Natural Sciences, and Materials Engineering, University of Augsburg, Germany. He has held prominent research and academic positions at institutions including the Max Planck Institute for Mathematics in the Sciences (Leipzig), University of Bonn, and EPF Lausanne. 2022–present: Chair of Mathematical Data Science, University of Augsburg 2017–2022: Research Group Leader, Max Planck Institute MiS Leipzig 2014–2017: Bonn Junior Fellow Professorship, University of Bonn 2013: Ph.D. in Mathematics, TU Berlin His research centers on the theoretical and computational aspects of low-rank tensor and matrix approximations, with deep connections to Riemannian optimization, functional analysis, and high-dimensional scientific computing. He investigates the geometry of low-rank varieties, convergence of alternating algorithms, and applications in data science and dynamical systems. His work combines rigorous mathematical analysis with algorithmic innovation. The recent publications (2023–2025) reflect a strong focus on optimization methods for low-rank structures, dynamical low-rank approximation for PDEs like the Vlasov-Poisson equation, randomized SVD, Sinkhorn-type algorithms with overrelaxation, and Kronecker product operator approximation. Key themes include convergence analysis, algorithmic acceleration, and applications in scientific computing and signal processing. Although no specific awards are listed, his publication record in top-tier journals such as Numerische Mathematik , SIAM Journal on Optimization , and Foundations of Computational Mathematics indicates significant recognition in applied mathematics and numerical analysis. He advises students and researchers in mathematical data science and numerical analysis, though specific advisees are not named. He teaches courses such as Kernel Methods and Linear Algebra II. He has collaborated with leading researchers including Bart Vandereycken, Daniel Kressner, and Wolfgang Hackbusch. His work is supported through institutional affiliations and likely research grants, though specific grants are not listed. He is actively involved in the development of numerical methods for high-dimensional problems, particularly using tensor networks and manifold optimization. He is affiliated with research teams at the University of Augsburg and previously led a group at the Max Planck Institute MiS Leipzig, focusing on mathematical aspects of data science and tensor methods.

Yen Doمشاهده پروفایل

دانشیار

• Analysis
• Probability
• Time-Frequency Analysis
• +۲ مورد دیگر

Yen Do is an Associate Professor in the Department of Mathematics at the University of Virginia . His research lies at the intersection of Analysis , Probability , and Partial Differential Equations , with a focus on problems involving random polynomials , time-frequency analysis , and nonlinear integrable equations . Research Interests include: Time-Frequency Analysis : Multilinear estimates for operators with modulation invariance, inspired by Carleson's work on Fourier series convergence. Random Polynomials and Functions : Studies on the distribution of real roots, expectation, variance, asymptotic normality, and law of large numbers for root counts. Nonlinear Integrable Equations : Long-time asymptotics for solutions of nonlinear PDEs, extending oscillatory integral techniques to nonlinear settings. Publications reflect a consistent exploration of harmonic analysis, probabilistic root distribution, and operator theory. His work spans topics like random orthogonal polynomials , Carleson embeddings , and variations in bilinear operators , often addressing fundamental questions in probability and analysis . Advising and Grants : Yen Do has advised Nhan Nguyen (2019-2023) Mark Lewers (2017-2020) His research is supported by multiple NSF grants ( DMS-1800855 , DMS-1521293 , DMS-1201456 ).

• Linear and Multilinear Singular Integrals
• Real Harmonic/Fourier Analysis
• Differential Operators
• +۶ مورد دیگر

Professor Vjekoslav Kovac is a full professor at the Department of Mathematics, Faculty of Science, University of Zagreb. He holds a PhD from UCLA (2011) under Christoph Thiele and was a Fulbright Scholar at Georgia Tech (2019-20). His research spans harmonic analysis, singular integrals, combinatorics, and number theory, with a focus on Fourier restriction problems and Erdős-type conjectures. Kovac leads the HRZZ-funded 'Fourier Analysis and Applications' grant (2023-2027) and has previously directed projects like 'Multilinear Harmonic Analysis' (2018-2023). Education: PhD, UCLA (2011); MSc, University of Zagreb (2006) Research Interests: Singular integrals, real harmonic analysis, geometric measure theory, additive combinatorics, ergodic theory He is renowned for solving longstanding open problems, including Erdős conjectures on unit fractions and irrationality. Kovac has authored/co-authored over 40 publications and mentored multiple PhD and diploma students. His awards include the Croatian National Science Award (2023) and the Brdo Award (2025 nomination). Teaching roles include courses on mathematical analysis, Fourier analysis, and competition mathematics. Grants: Current FANAP (HRZZ), Previous MUNHANAP (HRZZ), MZO/DAAD grants Media Highlights: Coverage in 'What's New' (Tao), 'TotalCroatia', and Croatian TV for resolving 40-year-old mathematical problems