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• Cybersecurity
• Code Obfuscation
• Malware Analysis
• +3 more

Sebastian Schrittwieser is a Researcher in the Research Group Security and Privacy, part of the Faculty of Computer Science. His work focuses on cybersecurity, code obfuscation, malware analysis, and machine learning applications in security. He leads and contributes to projects like INODES (Cyber Defense Strategies) and EMRESS (Resilience Evaluation Models). His research bridges theoretical foundations and practical applications, addressing challenges in software protection and threat detection. Key research interests include: Code Obfuscation Techniques and Resistance Adversarial Machine Learning and Risk Assessment Malware Analysis and Program Simulation User Behavior in Cybersecurity Contexts Recent publications emphasize empirical studies on IT/OT infrastructure security, graph neural network vulnerabilities, and quantum-inspired machine learning. He actively collaborates with institutions like SBA Research and presents at international conferences. Grants include Research Funding for projects on optimal cyber defense strategies (INODES) and software resilience evaluation (EMRESS). His work aligns with interdisciplinary efforts in security engineering and privacy-preserving technologies.

Kristóf HuszárView profile

Assistant Professor

• Computational Topology
• Parameterized Algorithms
• Graph Theory
• +4 more

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.

• Discrete Mathematics
• Combinatorics
• Graph Theory
• +3 more

Thomas Hirschler is an Associate Professor at the Institute of Discrete Mathematics, Graz University of Technology (TU Graz). He can be contacted at thirschler@tugraz.at or via phone at +43 316 873 - 4509. Office hours are held on Wednesdays from 10:30 to 11:30 at Steyrergasse 30/II, 8010 Graz, Austria.

Raimundo SaonaView profile

Research Fellow

• Game Theory
• Probability Theory
• Algorithmic Game Theory
• +3 more

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.

Mark SteedmanView profile

Professor

• Computational musical analysis
• Computational linguistics
• Combinatory logic
• +6 more

Mark Steedman is a Professor of Cognitive Science at the School of Informatics , University of Edinburgh, and an Adjunct Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research bridges Artificial Intelligence , Cognitive Science , and Computational Linguistics , with a focus on Combinatory Categorial Grammar (CCG) , Prosody and Intonation , and Temporal Semantics . He has led the Institute for Language, Cognition, and Computation and contributed to interdisciplinary research at the Human Communications Research Center and Centre for Speech Technology Research . Research Interests : Steedman's work explores the intersection of formal grammar, computational models, and cognitive processes. He investigates how CCG parsing can enhance semantic inference, how prosodic features improve speech processing, and the role of temporal semantics in language understanding. His projects often integrate language models with entailment graphs for question answering and dialogue systems. Scientific Awards : Fellow of the American Association of Artificial Intelligence (1993) Fellow of the Royal Society of Edinburgh (2002) Fellow of the British Academy (2002) Member of Academia Europaea (2006) Best Paper Awards at ACL 2023 and AACL/IJCNLP 2023 Influential Paper Award (IFAAMAS 2017) Recent Trends in Publications : His recent work emphasizes language models for semantic inference , entailment graphs in multilingual settings, and incremental parsing for brain-language interfaces. Papers address challenges in hallucination , cross-lingual transfer , and prosody-text alignment .

• Combinatorial Optimization
• Polynomially Solvable Special Cases
• Assignment Problems
• +6 more

Eranda Dragoti-Cela is an Associate Professor at the Department of Optimization and Discrete Mathematics, Graz University of Technology. She specializes in combinatorial optimization, focusing on polynomially solvable special cases of NP-hard problems like the Quadratic Assignment Problem (QAP), portfolio optimization, and algorithmic graph theory. Education: M.Sc. in Applied Mathematics, University of Tirana (1992) Ph.D. in Technical Sciences, Graz University of Technology (1995) Habilitation in Applied Mathematics (2001) Her research spans combinatorial optimization (QAP, assignment problems, location problems), portfolio optimization (risk-return models, ordinal information integration), and graph theory (edge intersection graphs, network flows). Recent work includes linearization of quadratic shortest path problems and data arrangement on trees. She supervises bachelor's and master's theses in discrete mathematics and teaches courses like Combinatorial Optimization 1 and Risk Theory and Management , emphasizing algorithmic rigor and practical applications in finance and engineering.

• Discrete Mathematics
• Combinatorics
• Theoretical Computer Science
• +3 more

Michael Wallner is a Faculty member at the Graz University of Technology , affiliated with the Department of Discrete Mathematics . His contact details include the email address michael.wallner@tugraz.at and the phone number +43 316 873-4500. His research focuses on Discrete Mathematics and related areas such as Combinatorics , Theoretical Computer Science , and Graph Theory . As a Researcher in the Department of Discrete Mathematics, Wallner contributes to the academic ecosystem through his technical expertise and educational background in mathematics and computer science disciplines.

• Mathematics
• Discrete Mathematics
• Combinatorics
• +3 more

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.