جست‌وجوی استاد و پژوهشگر

• Geometric Topology
• 3-Manifolds
• Character Varieties
• +۶ مورد دیگر

Stephan Tillmann is a Professor of Geometric Topology at the University of Sydney and Executive Director of the Sydney Mathematical Research Institute . He has held visiting positions at institutions including the Max Planck Institute for Mathematics in Bonn and the Okinawa Institute of Science and Technology. Education: Ph.D. in Mathematics, University of Melbourne (2002) Bachelor of Science (Honours, First Class), University of Melbourne (1997) Zwischenprüfung in Mathematics and Philosophy, Johannes Gutenberg-Universität Mainz (1996) Research Interests: His work focuses on geometric topology , particularly 3-manifolds , character varieties , triangulations , and hyperbolic structures . He explores connections between tropical geometry and normal surfaces , as well as computational methods in low-dimensional topology. Scientific Awards & Grants: Friedrich Wilhelm Bessel Research Award (2021) Faculty of Science Teaching and Learning Award (2015) ARC Discovery Grants and Future Fellowships (2018–2021) International Postgraduate Research Scholarship (1998–2002) Service & Leadership: He has served on committees such as the AMSI Summer School Program Committee and the OIST Mathematics Faculty Search Committee . He co-organizes the Australian Geometric Topology Webinar and Geometric Structures Seminar .

• Extreme Value Theory
• Probability
• Stochastic Processes
• +۷ مورد دیگر

Dr. Kirstin Strokorb (she/her) is a Senior Lecturer and Deputy Director of Postgraduate Research at the School of Mathematics, Cardiff University . Her research focuses on multivariate, spatial, and temporal dependence phenomena in extreme value theory , a field critical for assessing rare hazardous events in data-driven risk modeling. She contributes to interdisciplinary research through editorial roles (Extremes, Stochastic Models) and leadership in the One World Extremes seminar and Statistics seminar series . Education: PhD in Mathematics (University of Göttingen, summa cum laude, 2013), Diploma in Pure Mathematics (University of Göttingen, 2010), Exchange student at Warwick University (2006/2007). Research Interests include extreme value theory, stochastic processes, and graphical models. She develops tools for spatio-temporal risk assessment and forecast evaluation , with applications in finance, insurance, and environmental engineering. Her work addresses challenges in max-stable processes , stochastic orderings , and realisability problems . Recent article trends emphasize graphical models for extremes , simulation algorithms , and stochastic ordering . She explores high-dimensional extremes and tail correlation functions , contributing to spatial and temporal modeling and conditional independence frameworks . Scientific Awards : Oberwolfach Research Fellow (2024) RSS Mardia Award for interdisciplinary workshops (2018) Nominated for Philip Leverhulme Prize (2020) Supervision & Grants : Mentored PhD students Michela Corradini, Matt Hutchings, Eferhonore Efe-Eyefia, and Jonas Brehmer. Projects supported by EPSRC DTP , TETFund , and Innovation for All grants . Led workshops under Cardiff’s Water Research Institute and Data Innovation Research Institute . Labs & Collaborations : Collaborated with institutions including University of Copenhagen, University of Geneva, and University of Edinburgh. Active in the Bernoulli Society , Royal Statistical Society , and Data Innovation Research Institute .

Wilfrid Gangboمشاهده پروفایل

استاد

• Calculus of Variations
• Nonlinear Analysis
• Partial Differential Equations
• +۷ مورد دیگر

Wilfrid Gangbo is a Professor of Mathematics at UCLA, specializing in nonlinear analysis, partial differential equations, and calculus of variations. He received his Ph.D. from EPFL (Switzerland) in 1992 and maintains active research in mathematical physics and optimization theory. Research interests focus on: Calculus of variations and nonlinear PDEs Optimal transport theory and Wasserstein spaces Mean field games and kinetic theory Functional analysis with applications to fluid mechanics Recent publications demonstrate strong focus on: Hamilton-Jacobi equations in metric spaces Structure of Wasserstein spaces Connections between optimal transport and game theory Regularity theory for polyconvex energies Professional activities include founding EcoAfrica, an organization supporting mathematical sciences in African countries through workshops and collaborative projects since 1990. Current teaching includes advanced mathematics courses such as Math 131BH (Winter 2025).

Dimitri Shlyakhtenkoمشاهده پروفایل

استاد

• Free Probability Theory
• Von Neumann Algebras
• C*-Algebras
• +۶ مورد دیگر

Dimitri Shlyakhtenko is a Professor at the University of California, Los Angeles (UCLA) Department of Mathematics, with a distinguished career in free probability, operator algebras, and von Neumann algebras. He has held leadership roles as Department Chair (2012-2015) and Director of the Institute for Pure and Applied Mathematics (2017-). Ph.D. in Mathematics (1997) from UC Berkeley under Dan-Virgil Voiculescu . B.S. with high distinction from the University of Nevada, Reno (1993). His research spans free probability , von Neumann algebras , C*-algebras , L2-invariants , and Poisson geometry . He has pioneered connections between free probability and random matrix theory, subfactor classifications, and non-commutative transport equations. Recent work includes inequalities for free entropy dimension and duality in non-commutative optimal transport. His 15 most recent publications focus on free entropy dimension, crossed products, non-commutative transport, and classification of von Neumann algebras. Topics include non-microstates free entropy , free group factors , quasi-regular inclusions , and type B free probability , with applications to quantum information and ergodic theory. Scientific Awards : Sloan Foundation Fellowship (2001), NSF Fellowships (1994, 1998), Clay Mathematics Institute award (2002), and Bourbaki Seminar recognition (2004). Organized major conferences at Fields Institute, Oberwolfach, IPAM, and UC Berkeley on quantitative linear algebra, free probability, and von Neumann algebras. He has mentored 12 Ph.D. students, including David Jekel and Max Zhou , with research in free analysis and operator-valued distributions. His work also involves collaborations with leading mathematicians like Alain Connes and Sorin Popa .

• Algebraic Geometry
• Complex Geometry
• Linear Algebra
• +۳ مورد دیگر

Victor Lozovanu is an Associate Professor in the Department of Mathematics (DIMA) at the University of Genoa, Italy. He teaches Geometry for Mechanical Engineering students and Linear Algebra and Analytic Geometry courses for Mathematics and Mathematical Statistics degree programs across multiple curricula. His research centers on Algebraic Geometry with expertise in linear series, positivity phenomena, and syzygies on algebraic varieties. Key interests include theta divisors on abelian varieties, higher syzygy conditions for surfaces with trivial canonical bundles, and applications of convex geometry through valuation theory and Newton-Okounkov bodies. Recent publications (2018-2024) demonstrate consistent focus on local positivity of linear series, particularly for surfaces and abelian varieties. His work bridges valuation theory with classical problems in birational geometry, emphasizing multiplicity functions and syzygetic properties of linear systems. No scientific awards are documented in the available information. Details regarding student advisees and research grants are not provided in the source material. Research team or laboratory affiliations are not specified in the current profile.

Pedro Felzenszwalbمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۲ مورد دیگر

Pedro Felzenszwalb is a Professor of Engineering and Computer Science at Brown University , with a research focus spanning computer vision, artificial intelligence, machine learning, and algorithms. Born in Rio de Janeiro, Brazil, he earned his BS in Computer Science from Cornell University (1999) and MS/PhD in EECS from MIT (2001/2003). He previously held a faculty position at the University of Chicago (2004-2011) before joining Brown in 2011. Education : PhD in EECS, MIT (2003) MS in EECS, MIT (2001) BS in Computer Science, Cornell University (1999) His research integrates computer vision and AI, emphasizing scalable algorithms for object recognition, image segmentation, and probabilistic modeling. Key methodologies include deformable part models, belief propagation, and dynamic programming. His work has significant applications in early vision tasks, scene understanding, and geometric constraints in 3D object recognition. Pedro’s publications demonstrate a trajectory from foundational graph/image algorithms (2004-2006) to advanced machine learning approaches (2010-2023), with recurring themes in optimization, clustering, and multiscale modeling. Notable journals include Journal of the ACM , IEEE Transactions , and Communications of the ACM . Scientific Awards : ACM Grace Murray Hopper Award IEEE Technical Achievement Award PASCAL Visual Object Challenge Lifetime Achievement Prize Longuet-Higgins Prize NSF CAREER Award He has received NSF funding for projects including Graph Cut Algorithms (2012-2015) and Object Recognition with Hierarchical Models (2008-2013). At Brown, he teaches graduate courses in machine learning, linear systems, and pattern recognition.

Georg Merzمشاهده پروفایل

استاد

• Artificial Intelligence
• Large Language Models
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. Georg Merz serves as a Professor of Applied Mathematics at the Department of Computer Science and Media, Brandenburg University of Technology, specializing in artificial intelligence with emphasis on industrial applications and large language models. Education: PhD in Pure Mathematics (Algebraic Geometry) from University of Göttingen Research Interests: Merz bridges advanced mathematics with practical AI systems, focusing on Large Language Model functionality (ChatGPT, Llama), industrial AI integration, and mathematical foundations of machine learning. His work prioritizes real-world implementation of theoretical concepts in operational environments. Publication Trends: His research evolved from pure algebraic geometry (2017-2018 Newton-Okounkov body studies) to applied AI (2020-2021), demonstrating a strategic shift toward solving industrial scheduling problems through reinforcement learning and language model applications. Scientific Awards: No awards documented in available materials. Advising and Grants: Currently recruiting thesis students for ChatGPT projects with GIZ. Previously led Deutsche Bahn's "AI in Dispatching" initiative with ML engineering teams. Teaches core mathematics and specialized AI courses including ChatGPT and Machine Learning projects. Teams and Committees: Active in academic governance as Deputy Chair of Departmental Council, member of Commission for Good Scientific Practice, and Ethics Committee participant.

Zafeirakis Zafeirakopoulosمشاهده پروفایل

پژوهشگر

• Symbolic Computation
• Discrete Mathematics
• Combinatorics
• +۴ مورد دیگر

Zafeirakis Zafeirakopoulos is a researcher at the National and Kapodistrian University of Athens (Greece) in the ELIDEK project led by Prof. Maria Chlouveraki. His academic career includes roles as an assistant professor at Gebze Technical University (2016-2022) and postdoctoral research at University of Athens (Greece), Galatasaray University (Turkey), and University of Geneva (Switzerland) under the Eccellenza project of Prof. Jehanne Dousse. PhD in RISC - Research Institute for Symbolic Computation (supervised by Prof. Peter Paule and Prof. Matthias Beck) Current affiliations: Mathematics department of National and Kapodistrian University of Athens Service roles: Information Director of ACM SIGSAM, Associate Editor of ACM CCA His research focuses on symbolic computation, discrete mathematics, and computational geometry. He has developed algorithms for parametric curve topology (PTOPO) and linear Diophantine systems (Polyhedral Omega), emphasizing efficiency and geometric interpretations. Recent work involves Julia/Maple implementations for practical applications. Publication trends highlight interdisciplinary work in symbolic algorithms, polyhedral geometry, and combinatorial optimization. He actively contributes to international conferences like ACA 2025 (co-organizer) and SCALE 2022.

• Complex Geometry
• Kähler Geometry
• Algebraic Geometry
• +۵ مورد دیگر

David Witt Nyström is a Professor of Algebra and Geometry at Chalmers University of Technology, specializing in complex geometry. His research focuses on Okounkov bodies, geodesics in spaces of Kähler metrics, volumes of cohomology classes, Hele-Shaw flows, and non-Archimedean Kähler geometry. Professor Nyström's research interests span multiple interconnected areas of geometry. His work on Okounkov bodies bridges convex geometry with complex algebraic geometry, providing powerful tools for studying positivity in line bundles. His investigations of geodesics in Kähler metric spaces connect to fundamental problems in complex differential geometry and stability theory. The recent focus on non-Archimedean aspects represents an expansion of his research program into newer mathematical territory, demonstrating continued intellectual vitality and adaptability. His publication record shows consistent output in top mathematics journals, with recent work appearing in Journal of Differential Geometry, Advances in Mathematics, and Journal für die Reine und Angewandte Mathematik. The research trajectory demonstrates both depth in core areas and expansion into new directions, particularly the non-Archimedean framework. Professor Nyström's work maintains strong connections to major developments in contemporary mathematics, including the study of canonical metrics, stability conditions in algebraic geometry, and the growing interface between complex and non-Archimedean geometry. His research contributes to several active frontiers in modern geometry, with potential implications for mathematical physics and other areas.

• Mathematics
• General Mathematics
• Convex and Discrete Geometry
• +۳ مورد دیگر

Assoc. Prof. Sevda Sezer is an Associate Professor at Akdeniz University , affiliated with the Faculty of Education, Mathematics and Science Education Department . With a career spanning over two decades, she has held academic positions ranging from Research Assistant (1996–2003) to Lecturer (2003–2009), Assistant Professor (2009–2022), and now Associate Professor (2022–Present). Education: PhD (2003), MSc (1997), BSc (1994) in Mathematics from Akdeniz University. Languages: English (B2 Upper Intermediate). Her research focuses on Convex and Discrete Geometry, Special Functions, Fuzzy Logic, and Mathematics Education . She has extensively studied s-convex functions, p-convex functions, and Hermite-Hadamard-type inequalities, contributing to both theoretical mathematics and pedagogical applications. Recent publications (2021–2025) highlight her work in Mathematical Inequalities , Convexity Analysis , and Educational Impact Studies (e.g., storytelling and cartoons in mathematics education). She has supervised multiple postgraduate theses and participated in TUBITAK-funded projects evaluating mathematics education curricula. Her peer-review activities span journals like JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS and SCI Journal , with over 50 citations and an h-index of 4 (WOS). She teaches courses such as Fuzzy Mathematics and Applications in Education and Geometry Instruction at both undergraduate and postgraduate levels.

• Mathematics
• Differential Equ
• Linear and Multilinear Algebra: Matrix Theory
• +۶ مورد دیگر

Assoc. Prof. Serap Kemali is an Assistant Professor at Akdeniz University's Technical Sciences Vocational School, Department of Architecture and City Planning. Her research focuses on mathematical analysis, particularly in convex functions, differential equations, and optimization. Her primary research areas include Mathematics Differential Equations Convex and Discrete Geometry Optimization Kemali has published extensively on convexity-related inequalities, including works on s-convex functions, Hermite-Hadamard type inequalities, and fractional calculus applications. Her research explores abstract convexity, B-convexity, and its generalizations, contributing to theoretical and applied mathematical analysis. Recent publications demonstrate expertise in Caputo fractional derivatives Integral inequalities Convexity refinements Curriculum development in mathematics education Kemali has advised 1 thesis and participated in funded projects like "B-Convexity and B^(-1) Convexity Comparisons" (2015-2018) "Mathematics in Our Life: Agriculture" (2015-2017)

• Stochastic Inclusions
• Combinatorial Geometry
• Nonlinear Analysis
• +۸ مورد دیگر

Prof. Andrzej Kisielewicz is affiliated with the Institute of Mathematics at the University of Zielona Góra . His academic work spans multiple disciplines, including stochastic inclusions, combinatorial geometry, and nonlinear analysis. He teaches topology, geometry, and mathematical analysis. Research Focus: Stochastic differential inclusions, nonlinear wave propagation, fixed-point theorems in uniformly convex spaces, and combinatorial geometry (e.g., partitions of Euclidean space into unit cubes). Teaching: Topology, geometry, mathematical analysis. Projects: Contributions to EU-funded initiatives like the "Modern teaching and practical cooperation with entrepreneurs" program (POWR.03.05.0-00-00-Z014/18).

Arkadiusz Koziołمشاهده پروفایل

پژوهشگر

• Nonlinear wave propagation
• Combinatorial geometry
• Game theory
• +۷ مورد دیگر

Arkadiusz Kozioł is a researcher at the Institute of Mathematics, University of Zielona Góra, specializing in advanced mathematical methods and interdisciplinary applications. His work spans theoretical and applied domains including nonlinear wave equations, combinatorial geometry, game theory, and preference modeling. Affiliation: Institute of Mathematics, University of Zielona Góra Email: a.koziol@im.uz.zgora.pl Research Interests: Focuses on nonlinear wave propagation with applications to fluid dynamics and stochastic Korteweg-de Vries-type equations. Investigates combinatorial geometry problems like space partitioning and Minkowski decompositions. Develops preference models using interval-valued and fuzzy relations for decision support systems. Explores fixed-point iterative methods and applies game theory to multigenerational conflicts and large-scale decision-making. Teaching Activities: Teaches biostatistics, statistics, experimental design, and operational research. Integrates mathematical theory with practical applications in computer science and econometrics. Interdisciplinary Collaboration: Works within the Center for Applications of Mathematics and Computer Science (OZMI) on projects related to sustainable energy, healthcare, and industrial innovation. Utilizes Fourier series approximation and operator theory on locally convex spaces.

Mateusz Kubiakمشاهده پروفایل

پژوهشگر

• Mathematical Analysis
• Approximation Theory
• Operator Theory
• +۷ مورد دیگر

Mateusz Kubiak is a researcher at the Institute of Mathematics of the University of Zielona Góra , focusing on advanced mathematical theories and their applications. His work spans functional analysis, approximation theory, and algorithmic methods. Teaching: Machine learning models, mathematical analysis, and remedial mathematics courses. Research: Investigates iterative methods for fixed point problems, Fourier series convergence, operator theory on locally convex spaces, and graph theory coloring models. Key Collaborations: Participates in EU-funded projects like the Widza Education Development Operational Programme , emphasizing modern teaching techniques and industry partnerships.

Rafał Zalasمشاهده پروفایل

پژوهشگر

• Iterative methods for fixed point problems
• Approximation theory using Fourier series
• Combinatorial geometry
• +۱۰ مورد دیگر

Rafał Zalas is a researcher at the Department of Computer Science Applications at the University of Zielona Góra. His work spans diverse mathematical and computational domains, including iterative methods for fixed point problems , approximation theory using Fourier series , combinatorial geometry , and multivalued stochastic equations . His research focuses on convergence conditions for non-expanding operators, summability of Fourier series, and combinatorial properties of geometric partitions. He also explores applications in economics, social sciences, and computer science education, particularly through open-source tools. At the Institute, he teaches operational research and mathematical analysis . His projects include EU-funded initiatives like Modern teaching and practical cooperation with entrepreneurs .