جستجوی استاد راهنمای دانشگاهی

Wojciech Szpankowski is the Saul Rosen Distinguished Professor of Computer Science at Purdue University. He holds concurrent positions as a Guest Professor at ETH Zurich and a Professor at Jagiellonian University, Krakow. His research focuses on analysis of algorithms, information theory, analytic combinatorics, and random structures. He has directed major initiatives like the NSF Science & Technology Center on Science of Information (CSoI), a $50M 10-year project. Szpankowski is a Fellow of the IEEE and has received prestigious awards including the Flajolet Prize (2020) and Humboldt Research Award (2010). He has held visiting roles at institutions worldwide, including Stanford University and the Newton Institute, Cambridge. His academic journey includes tenure as Full Professor at Purdue (since 1992), Assistant Professorships at McGill University (1984–1992) and Technical University of Gdańsk (1980–1984). His scholarly contributions span monographs like "Average Case Analysis of Algorithms on Sequences" (2001) and "Analytic Pattern Matching" (2015), with a forthcoming work on Analytic Information Theory (2022). He actively contributes to scientific boards, including HIIT Helsinki and NeuroMat Brazil. Szpankowski’s publications emphasize interdisciplinary research at the intersection of computer science, mathematics, and biology. His work on privacy-preserving data analysis, dynamic network inference, and protein superfamily evolution showcases his broad impact. Keynote talks at major conferences (e.g., SODA 2019, AofA 2016) reflect his leadership in theoretical computer science. His grants and recognitions underscore institutional trust: the NSF Science & Technology Center (2010) and Arden L. Bement Jr. Award (2015) highlight his pioneering role in redefining information science. Collaborations span academia and industry, with affiliations at Hewlett-Packard and INRIA.

• Analysis of Algorithms
• Information Theory
• Analytic Combinatorics
• +۶ مورد دیگر

Andrei Asinowski is a Researcher at the Institute of Mathematics at Alpen-Adria-Universität Klagenfurt. He has held academic appointments at institutions including Bielefeld University (2005–2006), University of Haifa (2006–2008), Technion (2008–2011), Free University of Berlin (2012–2015), and TU Wien (2015–2018). Since 2020, he leads the FWF-funded project 'Generic Rectangulations: Enumerative and Structural Aspects' (P32731). His research focuses on combinatorics, discrete mathematics, computational geometry, and enumerative combinatorics. Key interests include rectangulations, permutation patterns, lattice paths, and guillotine partitions. Research Interests: Combinatorics of rectangulations, permutation classes, enumerative combinatorics, geometric permutations, and algorithmic applications of discrete structures. His work bridges combinatorial theory and computational geometry, with recent emphasis on bijections between rectangulations and permutations, generating functions, and analytic methods. Grants & Projects: Principal Investigator of FWF Grant P32731 (since 2020), exploring enumerative and structural aspects of rectangulations. Collaborative projects include EuroGIGA's ComPoSe (2012–2015) and SFB F50's Algorithmic and Enumerative Combinatorics (2015–2018). Publications Trends: Recent work emphasizes rectangulation enumeration, permutation patterns, and analytic combinatorics techniques. Earlier contributions addressed geometric permutations, computational geometry, and lattice path enumeration.

• Discrete Mathematics
• Combinatorics
• Computational Geometry
• +۳ مورد دیگر

Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing. Education 11/2020: Habilitation in Practical Computer Science at TU Graz 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors) 10/2010: MSc in Telematics 10/2005: BSc in Telematics Research Interests Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings. Awards Heinz Zemanek Prize (2016) – First Austrian recipient GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science Multiple Eurographics Best Paper Awards (2021, 2020, 2014) HPEC Best Student Paper (2017) ACM CHI Honorable Mention (2014) Advising & Grants Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing. Labs & Teams Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.

• GPU Computing
• Computer Graphics
• Parallel Processing
• +۳ مورد دیگر

Thomas Florian is a Senior Lecturer at the Department of Discrete Mathematics, Graz University of Technology. His research focuses on fundamental areas of mathematics with a specialization in discrete structures, contributing to theoretical and applied advancements in the field. For direct inquiries, he can be reached at florian.thomas@tugraz.at . His work primarily intersects with disciplines such as combinatorics, graph theory, and algebraic systems, reflecting the department's emphasis on rigorous mathematical frameworks.

• Discrete Mathematics
• Combinatorics
• Graph Theory
• +۳ مورد دیگر

Kristóf Huszár is an Assistant Professor at the Institute of Geometry, Graz University of Technology (TU Graz), where he conducts research in computational topology and parameterized algorithms. He has held postdoctoral positions at Centre Inria d’Université Côte d’Azur (DataShape team), Laboratoire de l’Informatique du Parallélisme at ENS de Lyon, and was an adjunct instructor at IUT Lyon 1. He previously spent time at Institut Henri Poincaré in Paris for a thematic trimester on Geometry and Statistics in Data Sciences. His educational background includes a PhD from IST Austria supervised by Uli Wagner and Jonathan Spreer, a BSc in Mathematics from Eötvös Loránd University under András Stipsicz, with additional study periods at Beloit College and Heidelberg University. Kristóf's research centers on computational topology, particularly width parameters of graphs associated with 3-manifolds. His work bridges theoretical computer science and geometric topology, aiming to develop algorithmic tools for topological problems. He is motivated by parameterized complexity and structural graph theory. No recent articles are listed in the provided text, so no trend analysis can be performed. There are no scientific awards mentioned in the available information. Kristóf Huszár has served as a postdoctoral researcher under prominent figures such as Jean-Daniel Boissonnat, Clément Maria, and Édouard Bonnet. While no formal students are listed, his roles involve research mentorship in collaborative environments. No grants are explicitly mentioned. He has been affiliated with the DataShape research team at Inria and the Laboratoire de l’Informatique du Parallélisme at ENS de Lyon, both of which are leading institutions in computational geometry and theoretical computer science. His current research is conducted within the Institute of Geometry at TU Graz.

• Computational Topology
• Parameterized Algorithms
• Graph Theory
• +۴ مورد دیگر

Raimundo Saona is a Research Fellow in the Department of Mathematics at the London School of Economics and Political Science (LSE), where he joined in 2025. His work bridges theoretical mathematics with practical applications in computer science and decision theory. His research focuses on Game Theory, Probability Theory, Algorithmic Game Theory, Stochastic Analysis, Optimal Control, and Imprecise Probability Theory. He develops mathematical tools to provide new insights on situations involving uncertainty, working with both continuous and discrete models, proving theoretical existence theorems, coding efficient algorithms, and analyzing both dynamic online and static offline settings. His publication record shows a strong focus on stochastic games, Markov decision processes, and prophet inequalities. His recent work (2022-2024) has centered on ergodic unobservable MDPs, marginal values in stochastic games, and zero-sum random games on directed graphs, demonstrating his continued contribution to advancing theoretical frameworks in game theory and decision processes. His earlier work established foundational results in POMDPs and prophet inequalities.

• Game Theory
• Probability Theory
• Algorithmic Game Theory
• +۳ مورد دیگر

Stephan Wagner is a Professor at the Institute of Discrete Mathematics at Graz University of Technology. His research focuses on discrete mathematics and stochastics, with expertise spanning combinatorics, graph theory, and probability theory. Research Interests : Wagner's work centers on theoretical and applied aspects of discrete mathematics, including structural analysis of graphs, probabilistic models, and combinatorial optimization. His research bridges foundational mathematical concepts with practical applications. Contact & Affiliation : Office: Steyrergasse 30/III, Room ST03198, Graz Website: https://www.math.tugraz.at/idm/

• Discrete Mathematics
• Stochastics
• Combinatorics
• +۲ مورد دیگر

Matija Bucic serves as an Assistant Professor in the Department of Mathematics at the University of Vienna, based at Oskar-Morgenstern-Platz 1, 1090 Wien (Room 11.143). His contact details include email matija.bucic@univie.ac.at and phone +43-1-4277-55756, with his profile last updated on 2025-09-11. His research spans core mathematical disciplines, with primary emphasis on Discrete Mathematics and Combinatorics , extending to specialized areas including Graph Theory , Extremal Combinatorics , and Probabilistic Methods . These interests align with foundational theoretical research in discrete structures and algorithmic applications.

• Mathematics
• Discrete Mathematics
• Combinatorics
• +۳ مورد دیگر