جستجوی استاد راهنمای دانشگاهی

Olivia Constantin is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics. She has been actively publishing since 2008, with research contributions in functional analysis, complex analysis, and mathematical fluid dynamics. PhD in Mathematics (implied by academic position and research output) Her research primarily focuses on operator theory on function spaces, especially Fock and Bergman spaces, and the application of complex analysis to fluid flows. Key areas include Hankel operators, integral operators, embedding theorems, and the analysis of water waves and oceanic gyres. Her work combines deep analytical techniques with applications in fluid mechanics. Recent publications show a strong trend toward using complex-analytic methods to study irrotational flows, traveling water waves, and gyre dynamics, indicating an interdisciplinary approach bridging pure and applied mathematics. Her 2025 paper on velocity extrema in ocean gyre flows highlights ongoing contributions to geophysical fluid dynamics. She has led two research projects: Operatorenklassen (2012–2016) and Analysis of Operators on Spaces of Holomorphic Functions (2017–2019), demonstrating sustained research leadership. Active speaker at academic conferences, with 18 recorded scientific activities including talks from 2008 to 2023 Olivia Constantin collaborates with prominent mathematicians such as A. Aleman, J. A. Peláez, A.-M. Persson, and D. Kalaj. She has not received any explicitly mentioned scientific awards. There is no information about her advising students or managing labs or research teams.

• Functional Analysis
• Complex Analysis
• Operator Theory
• +۷ مورد دیگر

Radu Ioan Bot is a Professor and Dean of the Faculty of Mathematics at the University of Vienna, where he also serves as Head of the Department of Mathematics. His primary affiliations include the Department of Mathematics (Oskar-Morgenstern-Platz 1, 1090 Wien) and the Research Network Data Science (Währinger Straße 29, 1090 Wien). Bot's research centers on optimization theory with emphasis on convex/nonconvex optimization, monotone operators, and dynamical systems. He develops fast algorithms for variational inequalities and monotone inclusions by bridging continuous-time dynamics with discrete optimization methods. His work frequently addresses bilevel optimization, Tikhonov regularization, and second-order dynamics, yielding accelerated convergence rates for complex problems. Analysis of his 15 most recent publications (2023-2025) reveals dominant trends in time-scaling techniques, vanishing damping dynamics, and structured splitting methods. Key contributions include unifying Nesterov acceleration with Heavy Ball dynamics, developing reflected forward-backward algorithms for constrained optimization, and establishing strong convergence guarantees for monotone operator flows. These advances demonstrate consistent innovation in accelerating optimization while maintaining theoretical rigor. No scientific awards were mentioned in the provided source material. Details regarding student advising and research grants were not specified in the available information, though his leadership roles as Dean and Department Head indicate significant administrative responsibilities alongside active research. Bot participates in the University of Vienna's Research Network Data Science, suggesting interdisciplinary engagement in data-driven methodologies with potential applications in machine learning and computational mathematics.

• Optimization
• Convex Analysis
• Nonlinear Analysis
• +۳ مورد دیگر

Radu Ioan Boț is a Professor at the Faculty of Mathematics at the University of Vienna . Since 2020, he has served as Dean of the Faculty of Mathematics and Head of the Institute of Mathematics . He is also the Speaker of the FWF DK Vienna Graduate School on Computational Optimization and a Founding Member of the Research Platform Data Science@Uni Vienna . Education Ph.D. in Mathematics (2003, Chemnitz University of Technology, Summa cum laude ) M.Sc. in Mathematics (1999, Babeş-Bolyai University, Grade: 10 ) Diploma in Mathematics (1998, Babeş-Bolyai University, Grade: 10 ) Research Interests focus on convex and nonconvex optimization , monotone operators , duality theory , and proximal algorithms . His work bridges continuous and discrete time models , emphasizing fast convergence rates and Tikhonov regularization for problems in image processing , machine learning , and inverse problems . Recent Publications highlight advancements in primal-dual splitting , inertial dynamics , and stochastic optimization , with applications to GANs , phase retrieval , and structured convex minimization . Scientific Awards include the 2003 University Prize of Chemnitz University of Technology , 1998 award for graduating with the best grade from Babeş-Bolyai University, and fellowships during his Ph.D. and pre-Ph.D. research stays. Editorial Roles include Editor-in-Chief of SIAM Journal on Optimization (2026–2029) and editorial board membership for journals like Mathematical Programming , Computational Optimization and Applications , and Journal of Optimization Theory and Applications .

• Convex Optimization
• Nonconvex Optimization
• Monotone Operators
• +۵ مورد دیگر

Roman Słowiński is a full Professor at the Institute of Computing Science , Poznań University of Technology, Poland, and holds a professorial position at the Systems Research Institute of the Polish Academy of Sciences in Warsaw. He is a Full Member of the Polish Academy of Sciences and served as President of its Poznań Branch (2011–2014). His career spans decades of contributions to decision support systems and computational intelligence. His research focuses on Multiple criteria decision aiding Rough set theory and fuzzy set theory Multiobjective optimization Ordinal data mining Robust decision analysis with applications in medicine, economics, and environmental studies. He is renowned for pioneering the use of rough sets in decision analysis, collaborating with Zdzisław Pawlak and others. His recent work emphasizes robust ordinal regression, dominance-based methods, and monotonicity constraints in classification. Scientific awards include EURO Gold Medal (1991) Edgeworth-Pareto Award (1997) Annual Prize of the Foundation for Polish Science (2005) Doctor Honoris Causa from three international universities He has advised 26 Ph.D. theses and served as Coordinating Editor for European Journal of Operational Research , alongside leadership roles in the International Rough Set Society and the EURO Working Group on Multiple Criteria Decision Aiding. He founded the Laboratory of Intelligent Decision Support Systems at PUT.

• Decision Support
• Multiple Criteria Decision Aiding
• Ordinal Data Mining
• +۱۱ مورد دیگر

Michael Pinsker is a full professor and head of the Research Unit Algebra at the Vienna University of Technology. He is a leading researcher in universal algebra, model theory, and theoretical computer science, with a strong focus on constraint satisfaction problems (CSPs), particularly over infinite domains. He is deeply involved in the Vienna School of Mathematics and serves on the steering committees of the Workshop on General Algebra and the CSP World Congress (CWC), which he regularly co-organizes. Principal Investigator, ERC Synergy Grant POCOCOP (2023–2029) Principal Investigator, FWF-NCN Project on Constraint Satisfaction (2022–2026) Associate Editor, Algebra Universalis (Springer) Member, Executive Board, Vienna School of Mathematics His research lies at the intersection of algebra, logic, and computation, emphasizing the algebraic and model-theoretic analysis of infinite structures to understand the complexity of CSPs. He investigates how symmetry, topology, and polymorphisms govern tractability and hardness. His work often connects Ramsey theory and homogeneous structures with computational problems. His recent publications reveal a sustained focus on infinite-domain CSPs, particularly through algebraic methods like polymorphisms, smooth approximations, and topological clones. Trends include collapsing width hierarchies, establishing hardness criteria for infinite digraphs, and developing new algorithms based on symmetry and consistency. His work bridges finite and infinite model theory, aiming to unify complexity classification frameworks. ERC Synergy Grant POCOCOP (2023) Distinguished Paper Award, LICS 2023 Pinsker actively mentors PhD students and postdoctoral researchers, including current advisees like Johanna Brunar, Moritz Schöbi, Roman Feller, and Christoph Spiess. He has advised former PhD students Clemens Schindler, Tomas Nagy, and Michael Kompatscher. He leads major research projects funded by the European Research Council and national science foundations, indicating significant grant leadership. His collaborative network includes Libor Barto, Manuel Bodirsky, and Marcin Kozik. He leads the Research Unit Algebra at TU Wien, which includes faculty, postdocs, PhD students, and project managers working on universal algebra and CSPs. He co-organizes major annual events like the CSP World Congress and the Early Student Award meetings of the Austrian Mathematical Society, fostering community and collaboration.

• Universal Algebra
• Model Theory
• Theoretical Computer Science
• +۷ مورد دیگر

Univ.-Prof. Dr. Eva Kopecká is a Professor at the University of Innsbruck's Department of Mathematics, Faculty of Mathematics, Computer Science and Physics. She specializes in Functional Analysis, Geometry of Banach Spaces, Nonlinear Analysis, and Combinatorics. Currently teaching Discrete Mathematics and Introduction to Higher Analysis in the 2024 summer semester, she also leads the Research Seminar in Functional Analysis. Her work focuses on projection algorithms, Lipschitz mappings, and fixed point theory. Notable research includes studies on alternating projections, zone diagrams, and geometric embeddings. She has conducted projects funded by the Austrian Science Fund (FWF), including work on Lipschitz mappings and contraction operators. No formal awards are listed, but her contributions to operator theory and functional analysis are widely recognized. Consultation hours are by email appointment.

• Functional Analysis
• Geometry of Banach Spaces
• Nonlinear Analysis
• +۱ مورد دیگر

Ilse Fischer is a Professor in the Department of Mathematics at the Faculty of Mathematics, University of Vienna. She holds the titles of Univ.-Prof., Mag. Dr., and Privatdoz., reflecting her senior academic status and contributions to combinatorics. Her research is centered on algebraic and enumerative combinatorics, with a focus on alternating sign matrices, plane partitions, lozenge tilings, and symmetric functions. Her research interests include: Enumerative and bijective combinatorics Alternating sign matrices and their symmetry classes Plane partitions and totally symmetric variants Lozenge tilings of hexagons with defects Gelfand-Tsetlin patterns and lattice path models Combinatorial identities and symmetric functions Analysis of her recent publications (2020–2024) reveals a consistent focus on exact enumeration, combinatorial bijections, and algebraic structures. Her work often bridges combinatorics with mathematical physics, particularly through models like the six-vertex (square ice) model. She frequently collaborates with leading researchers such as Matjaž Konvalinka, Mircea Ciucu, and Florian Schreier-Aigner, publishing in top journals including Advances in Mathematics , European Journal of Combinatorics , and Algebraic Combinatorics . She has received two scientific prizes, though specific names are not listed. Her academic activity remains strong, with ongoing projects and publications, indicating active research leadership. She advises students and postdoctoral researchers, though specific names are not provided in the text. She has led multiple research projects, particularly in the areas of combinatorial enumeration and symmetric functions. She is involved in collaborative research networks and regularly contributes to major combinatorics conferences such as FPSAC and AofA. Her work continues to advance foundational results in algebraic combinatorics, including bijective proofs of long-standing conjectures.

• Enumerative Combinatorics
• Algebraic Combinatorics
• Alternating Sign Matrices
• +۷ مورد دیگر

Nigel Pynn-Coates is a Research Fellow at the University of Vienna's Kurt Gödel Research Center for Mathematical Logic, Faculty of Mathematics. His research develops model-theoretic frameworks for differential algebra and valued fields, with particular focus on transseries and asymptotic structures. Core investigations address differential-Henselian fields, monotone T-convex structures, and model completeness of transseries extensions. Methodologically, his work combines techniques from valuation theory, ordered algebra, and geometric logic to establish foundational properties of differential-valued structures. Publications demonstrate consistent advancement in understanding maximal extensions, uniqueness conditions, and tame properties of differential fields. Current work explores model-theoretic interfaces between transseries, exponential fields, and o-minimal structures.

• Model Theory
• Valued Differential Fields
• Mathematical Logic
• +۲ مورد دیگر

Kurt Hornik is a Professor at the Vienna University of Economics and Business (WU) , where he heads the Institute for Statistics and Mathematics and the Research Institute for Computationally Intensive Methods . He is renowned for his co-development of the R programming language, a cornerstone in statistical computing with over 15,000 extension packages. His research spans statistical data processing, machine learning, and quantitative risk management, focusing on combining ordinal ratings (e.g., credit scores) into consensus-based models. Education: Technical Mathematics (PhD, 1987, Vienna University of Technology) Postdoctoral work in statistics and mathematics Research Interests: Hornik's work addresses challenges in statistical modeling of ordinal preferences, particularly in creditworthiness assessment. He developed composite likelihood methods to improve calibration of credit rating systems, which underpin key Eurosystem monetary policies. His recent publications explore hyperspherical variational autoencoders, Watson distributions, and Kummer's function bounds, reflecting his contributions to computational statistics and high-dimensional data analysis. Scientific Awards: Golden Decoration of Merit for Services to the Republic of Austria (2007) Contributions: Hornik's research has produced widely used R packages like colors , ROI , and mvord , advancing statistical software infrastructure. He collaborates globally, with publications in journals such as Journal of Statistical Software and Annals of Applied Statistics .

• Statistical Data Processing
• Statistical Learning
• Machine Learning
• +۵ مورد دیگر

Elena Resmerita is an Associate Professor at the Institute of Mathematics , Alpen-Adria University of Klagenfurt, Austria. She holds a Habilitation in Mathematics (2013) and a PhD in Mathematics (2003) from the University of Klagenfurt and Haifa respectively. 2013: Habilitation, University of Klagenfurt 2003: PhD, University of Haifa 1997: MSc, Al. I. Cuza University of Iasi Her research focuses on inverse problems , regularization methods for ill-posed problems , image restoration , continuous optimization , convex analysis , and iterative methods for convex feasibility problems . Her recent publications highlight advancements in regularization theory, multiscale decomposition, and sparsity-driven optimization. Key contributions include: Nonconvex regularization techniques Entropic Landweber methods Bregman iterations for image processing Convergence analysis of stochastic algorithms She has received prestigious scientific awards : FWF Elise Richter Fellowship IPAM Fellow at UCLA Active in academic service, she co-organizes workshops like the Alps-Adriatic Workshop in Inverse Problems and contributes to the European Women in Mathematics (EWM) as Deputy Convenor and committee member. Her teaching spans Analysis, Calculus, and specialized inverse problem courses.

• Inverse Problems
• Regularization Methods
• Image Restoration
• +۳ مورد دیگر

Tudor Jebelean is a full professor at the Research Institute for Symbolic Computation (RISC) within Johannes Kepler University (JKU), located in Linz, Austria. His primary affiliation is with RISC, where he leads research in automated reasoning, symbolic computation, and algorithm design. Roles: A.Univ.-Prof. (Universitätsprofessor) at RISC, JKU Research Focus: Automated reasoning, systolic computations, multiprecision arithmetic, and formal methods. Jebelean's work centers on advancing theorem proving systems like Theorema , which integrates computation and deduction for natural-style mathematics. He develops algorithms for sorting, data structure manipulation, and formal verification, often using combinatorial and logic-based techniques. His contributions include the design of systolic architectures for arithmetic operations and the synthesis of algorithms through mechanical proving. Publications highlight his research on automated prover systems, certification of sorting algorithms, and symbolic computation tools. He collaborates extensively with researchers like Isabela Dramnesc and Sorin Stratulat on algorithm synthesis and formal verification. His research bridges theoretical foundations with practical applications in computer science and mathematics education.

• Automated Reasoning
• Systolic Computations
• Multiprecision Arithmetic
• +۳ مورد دیگر

Yura Malitsky is a postdoctoral researcher at Graz University of Technology's Institute of Computer Graphics and Vision, working under the supervision of Prof. Thomas Pock. He earned his Master's in Applied Mathematics from Kyiv National University in 2012 and completed his PhD in 2015 on projection methods for variational inequalities and composite optimization problems. Education: MS in Applied Mathematics (Kyiv National University, 2012), PhD in Optimization (2015) Affiliation: Graz University of Technology, Institute of Computer Graphics and Vision Academic Rank: Researcher His research focuses on convex optimization, variational inequalities, and nonlinear analysis, with applications to machine learning and signal processing. His work includes developing adaptive gradient methods, distributed optimization algorithms for ring networks, and novel approaches to stochastic variance reduction. Recent publications explore entropic mirror descent, Riemannian optimization, over-the-air computation for distributed systems, and improvements to primal-dual methods. He has contributed to advancements in resolvent splitting techniques and forward-reflected-backward methods for monotone operators. Malitsky's research bridges theoretical optimization frameworks with practical implementations in decentralized systems and high-dimensional learning problems. His work demonstrates significant technical contributions to algorithm design and convergence analysis.

• Convex Optimization
• Variational Inequalities
• Nonlinear Analysis
• +۵ مورد دیگر

Sanja Lukumbuzya is a PostDoc Researcher at the Knowledge-Based Systems group (E192-03) of Vienna University of Technology. Her work bridges formal logic and practical data systems, focusing on ontology-mediated data management, description logics, and business process challenges. Research Interests Ontology-Based Data Access (OBDA) Description Logics and Datalog Rewriting Process Mining and Workflow Analysis Hybrid Reasoning Systems Incomplete Data Handling Computational Complexity in Knowledge Bases Affiliations Vienna University of Technology, Austria Researcher in projects KtoAPP (2018–2025) and OMEGA (2017–2022) Publications Trends Her recent work addresses algorithmic complexity in expressive logics (2024), coNP expressiveness in ontology queries (2023), and practical BPM challenges (2023). Earlier studies focused on bounded predicates (2021), hybrid ASP-ontology frameworks (2020), and dishonesty modeling (2018).

• Knowledge Representation
• Description Logics
• Ontology Engineering
• +۴ مورد دیگر

Keith Martin Ball is a leading mathematician specializing in functional analysis, convex geometry, and information theory. He holds the Professorship at the University of Warwick since 2010 and previously held prominent positions at University College London, Texas A&M University, and the International Centre for Mathematical Sciences (ICMS) in Edinburgh. Alma Mater: Trinity College, Cambridge (PhD 1987 under Béla Bollobás) Key Contributions: Extension theorems for Lipschitz functions, reverse isoperimetric inequalities, Banach-Steinhaus Theorem advancements, and entropy-driven central limit theorem proofs. His research spans high-dimensional geometry, discrete geometry, and applications to information theory. He has authored the popular mathematics book Strange Curves, Counting Rabbits, & Other Mathematical Explorations . Recent Publications focus on zeta function irrationality, entropy inequalities, and geometric functional analysis, reflecting his interdisciplinary approach combining pure mathematics with probabilistic and information-theoretic methods. Scientific Honours Fellow of the Royal Society (FRS) (2013) Fellow of the American Mathematical Society (AMS Fellow) (2013) Shephard Prize (2015) Whitehead Prize (1992) Leverhulme Fellow (2003-2004) Member of Academia Europaea (2023)

• Functional Analysis
• Convex Geometry
• High-dimensional Geometry
• +۵ مورد دیگر

Elliott Hershel Lieb is a renowned Professor of Mathematics and Physics at Princeton University since 1975. His academic journey includes professorships at MIT and Yeshiva University, and postdoctoral roles at Cornell, University of Illinois, and IBM Research Center. Education : BSc in Physics from MIT (1953), PhD in Mathematical Physics from the University of Birmingham (1956). Research Interests span mathematical physics , quantum many-body systems , statistical mechanics , condensed matter physics , functional analysis , and operator inequalities . His work on Lieb-Thirring inequalities , Lieb-Robinson bounds , and density functional theory has profoundly shaped modern theoretical physics and mathematics. Recent Publications emphasize quantum information theory , density functional approximations , nonlinear quantum systems , and inequalities in functional analysis . Trends include quantum entropy , many-body localization , and mathematical foundations of quantum mechanics . Honors and Awards : 1970 Boris Pregel Award, 1978 Heineman Prize, 1988 Birkhoff Prize, 1992 Max Planck Medal, 1998 Boltzmann and Onsager Medals, 2001 Rolf Schock Prize, 2002 Austrian Medal of Honor, 2003 Poincaré Prize, 2021 ESI Medal, 2022 APS Medal, Gauss Prize, Dirac Medal, and 2023 Kyoto Prize in Basic Sciences. Doctoral Students include Rafael Benguria , Jennifer Tour Chayes , Robert McCann , Jan Philip Solovej , and Horng-Tzer Yau . His influence extends through over 500 publications and foundational work in quantum entropy , stability of matter , and exactly solvable models .

• Mathematical physics
• Quantum mechanics
• Statistical mechanics
• +۱۳ مورد دیگر