جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Nonmonotonic Reasoning
• Argumentation Frameworks
• +۴ مورد دیگر

Stefan Woltran is a Full Professor in the Databases and Artificial Intelligence department at TU Wien. He serves as Vice Dean of Academic Affairs for the Informatics Master program and leads the Research Unit for Databases and Artificial Intelligence. His research focuses on logic-based AI, including Propositional Logic, Nonmonotonic Reasoning, Argumentation frameworks, Knowledge Representation, and Logic Programming. He coordinates the Double-Degree Program Logic and Computation. His research projects include analyzing formal properties of logic-based AI approaches, complexity analysis, and developing algorithms via logic and dynamic programming. Notable projects include the HYPAR and REVEAL-AI initiatives exploring abstract argumentation and AI problem-solving. He has contributed to over 150 publications since 2001, focusing on argumentation frameworks, computational complexity, and formal methods. Woltran teaches courses such as Abstract Argumentation, Formal Methods in Computer Science, and Theoretical Computer Science. His work integrates theoretical advancements with practical solver development, such as the ASPARTIX system for argumentation tasks. He actively participates in international conferences and competitions in computational argumentation, emphasizing the application of formal methods to real-world problems.

Xu Zeshuiمشاهده پروفایل

استاد

• Information Fusion
• Decision Making
• Cluster Analysis
• +۳ مورد دیگر

Zeshui Xu is a Full Professor at the Business School of Sichuan University, China, with concurrent roles as Adjunct Professor at multiple prestigious institutions including Nanjing University of Aeronautics and Astronautics and Southeast University. He has held distinguished positions such as Chair Professor at PLA University of Science and Technology and was part of the Cheung Kong Scholars Program. His research focuses on decision-making theory, information fusion, clustering algorithms, and fuzzy systems. He is a highly cited researcher (2014–2021) and holds fellowships from IEEE, RSA, IFSA, and others. Education: M.Sc. in Operations Research and Cybernetics, Qufu Normal University Ph.D. in Management Science, Southeast University Research Contributions: Dr. Xu has authored 18 Springer monographs and 700+ SSCI/SCI papers, achieving over 73,000 citations with an h-index of 138. His work includes groundbreaking contributions to intuitionistic fuzzy aggregation operators, hesitant fuzzy systems, and probabilistic linguistic decision-making frameworks. Awards & Recognition: Member of EASA and IASCYS Fellowships: IEEE, RSA, ORS, AAIA, and others Natural Science Awards (Ministry of Education) State Council Expert with Special Allowance Editorial Roles: Associate Editor/Editorial Board Member for over 30 journals, including IEEE Transactions on Cybernetics and Fuzzy Systems. Invited to 50+ academic conferences.

Claudia Senikمشاهده پروفایل

استاد

• Income Distribution
• Subjective Well-Being
• Microeconometrics
• +۳ مورد دیگر

Claudia Senik is a Full Professor at the Paris School of Economics and University Paris-Sorbonne , with affiliations including the Institute for the Study of Labor (IZA) and the Institut Universitaire de France . Her work spans economics, public policy, and behavioral studies. Education highlights : Agrégation des Universités (1996) - Full Professor tenure qualification in Economics PhD (1990-1993) in Economics from DELTA, EHESS Master's and Habilitation degrees from University Paris-I and Versailles Saint-Quentin en Yvelines Alumna of Ecole Normale Supérieure - Ulm Research focuses on income distribution, subjective well-being, and the interplay between democracy and economic liberalization. Her microeconometric approach utilizes panel data and behavioral analysis across European and transition economies. Scientific contributions include foundational work on income comparisons, cultural determinants of happiness, and political economy dynamics. Key themes from her 2004-2015 publications include inequality, social reference groups, labor markets, and policy impacts. Accolades include : Prix Turgot 2015 for academic excellence Elected Member of the French National Council of Universities (CNU) Member of INED's board, advancing demographic economics Supported by European funding ORA-10-036 for Olympic Games research

• Algorithmic Social Choice
• Fair Division
• Multi-Winner Elections
• +۴ مورد دیگر

Jiehua Chen is an Associate Professor in the Department of Algorithms and Complexity at TU Wien (Vienna University of Technology), part of the School of Informatics. Her research focuses on algorithmic social choice, fair division, and computational complexity with applications to multi-agent systems, stable matchings, and parameterized algorithms. She leads the project Structural and Algorithmic Aspects of Preference-based Problems in Social Choice (2019–2027), funded by the Vienna Science and Technology Fund (WWTF). Her work spans theoretical contributions to voting systems, fair allocation mechanisms, and graph-based problems, with notable publications in venues like AAAI, IJCAI, and ACM Transactions on Economics and Computation. She teaches courses such as Algorithmic Social Choice and Quantum Computing and Complexity Theory , and has supervised research like E. Ceylan's diploma thesis on optimal seat arrangement algorithms. Chen’s research emphasizes practical algorithm design for social choice challenges, including refugee resettlement, participatory budgeting, and hedonic games. She frequently presents at international conferences and collaborates on interdisciplinary projects involving computational complexity and graph theory.

• Marketing
• Sustainable Agriculture
• Market Research
• +۴ مورد دیگر

Oliver Meixner is an Associate Professor at the Institute of Marketing and Innovation within the Department for Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU) . His work focuses on agricultural economics, sustainable marketing, and consumer behavior in food systems. Key Research Areas: Sustainable agriculture and food economics Consumer behavior and market research Innovation and digital transformation in agrifood Notable Contributions: Developed methodologies for AHP group decisions and fuzzy priority aggregation Evaluated eco-label effectiveness and food waste reduction strategies Assessed EU rural development programs' impact on agricultural competitiveness Publications & Projects (2016-2024) show a consistent focus on: Food labeling and consumer trust Sustainability assessments in agribusiness Digital transformation in food networks Climate crisis impact on consumer behavior Innovative marketing models for agrifood chains Scientific Recognition Award of Excellence (ISAHP 2020) Most Innovative Idea Award (ISAHP 2016) Literati Network Outstanding Paper (2013) Advising spans 123 theses including topics on: Consumer preferences for eco-labels Acceptance of alternative proteins Digital food shopping behavior Payment willingness for sustainable products

• Privacy in Smart Grids
• Machine Learning
• Differential Privacy
• +۶ مورد دیگر

Günther Eibl is a Senior Lecturer and Senior Researcher at the Salzburg University of Applied Sciences , affiliated with the Department Information Technologies and Digitalisation . He serves as Head of Research Group and Deputy Head of the Center for Secure Energy Informatics , combining 50% teaching and 50% research responsibilities. Education: MSc in Mathematics (Numerics Thesis) MSc in Physics (Plasma Physics Simulation Thesis) PhD in Machine Learning (Multiclass Boosting Thesis) Research Interests focus on Privacy in Smart Grids , including: Privacy Analyses – Using machine learning and statistics to extract information from load profiles. Privacy-Enhancing Technologies (PETs) – Historically focused on homomorphic encryption, masking, differential privacy, and wavelet analysis; current research emphasizes privacy-preserving price calculation and proving privacy properties of protocols. Scientific Contributions span 15+ years, with recent work (2025–2021) addressing: Privacy threat modeling for renewable energy communities Smart meter data anonymization Blockchain-based secure aggregation Game-theoretic privacy proofs Differential privacy in load forecasting Intrusion detection in power grids Skills include cryptography, data mining, and energy informatics, with a strong emphasis on visualization and applied statistics . He teaches applied mathematics , applied statistics , and data mining in bachelor and master programs.

Johann Mitlöhnerمشاهده پروفایل

دانشیار

• Decision Support Systems
• Preference Aggregation
• Social Choice Theory
• +۶ مورد دیگر

Johann Mitlöhner serves as an Associate Professor at the Vienna University of Economics and Business (WU), specifically within the Department of Information Systems and Operations Management. He is affiliated with the Institute for Data, Process and Knowledge Management, located in Building D2 on the third floor at Welthandelsplatz 1, 1020 Vienna, Austria. Professor Mitlöhner's research spans several interconnected areas within information systems and knowledge management. His primary focus lies in Preference Aggregation in Decision Support and Project Effort Estimation . He has extensively explored the application of Social Choice Voting Rules for preference aggregation and investigated the properties of voting rules through simulations. His work in text analysis encompasses Text Mining , Semantic Web technologies, Sentiment Detection , Product Feature Extraction , and Ontology Learning in restricted domains, with particular emphasis on grammar pattern-based approaches. Within his department, Professor Mitlöhner contributes to academic instruction and supervision of thesis topics related to decision support systems for IT system selection, effort estimation of IT projects, and various aspects of text mining and semantic technologies. His research bridges theoretical computer science with practical business applications, particularly in the domain of knowledge management systems. Professor Mitlöhner maintains an active research profile with publications cataloged in the WU Research database and participates in various research projects also documented through the university's research database. He collaborates with colleagues including Kaiser, Alexander; Kragulj, Florian; Polleres, Axel; Sabou, Marta; and others within the institute.

Ben Greinerمشاهده پروفایل

استاد

• Experimental and Behavioral Economics
• Strategic Behavior and Market Design
• Group Behavior and Dynamics
• +۳ مورد دیگر

Prof. Ben Greiner is a Professor of Empirical Business Research at Wirtschaftsuniversität Wien's Institute for Markets and Strategy. He holds visiting positions at the University of New South Wales, Stanford University, and New York University. His research focuses on experimental and behavioral economics, strategic behavior, and market design. He has held academic roles since 2002, including postdoctoral fellowships at Harvard Business School and the Max Planck Institute of Economics. Education: PhD in Economics from the University of Cologne (2006), Master’s in Business Administration from Humboldt-University Berlin (2002). He advises on public policy, consults for organizations like eBay and RWE, and serves on editorial and academic committees. His teaching includes courses on game theory, negotiation, and experimental methods. Research emphasizes experimental methodologies, trust dynamics, and online market platforms. Notable contributions include work on algorithmic advice, voting systems, and feedback mechanisms in digital markets. His software ORSEE is widely used in experimental economics. Grants and collaborations include involvement with the Management Science Reproducibility Collaboration and multiple international conferences. He co-authored books on behavioral economics and market design, and his work is published in top journals like Management Science and Journal of Economic Behavior and Organization.

Kurt Hornikمشاهده پروفایل

استاد

• Statistical Data Processing
• Statistical Learning
• Machine Learning
• +۵ 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 .

Anke Gerberمشاهده پروفایل

استاد

• Intertemporal Choice
• Coalition Formation
• Bargaining Theory
• +۶ مورد دیگر

Anke Gerber is a Full Professor of Economics (W3) at the University of Hamburg , specializing in Microeconomic Theory and Experiments . She serves as Spokesperson of the DFG Graduate Program 'Collective Decision-Making' and Director of the Master's Program in Politics, Economics and Philosophy (PEP). PhD in Economics, Bielefeld University (1998) Previous appointments at Universities of Heidelberg (2006-2007) and Zurich (2002-2007) Member of Social Choice and Welfare Society Council Editorial roles for Economic Theory , Games , and Lecture Notes in Economics and Mathematical Systems Research Interests span Game Theory , Social Choice , Public Economics , and Intertemporal Decision-Making . Her work explores strategic behavior in collective decisions, preference reversals in time-dependent choices, and institutional design for public goods provision. Key themes include coalition formation, bargaining theory, and political economy applications. Scientific Contributions reflect in publications across top-tier journals like Journal of Theoretical Politics , International Economic Review , and Social Choice and Welfare . Recent works (2023-2024) focus on endogenous agenda manipulation, electoral campaign strategies, and temporal utility modeling. DFG-funded Graduate Program leadership Extensive peer-review activity for journals like Econometrica , American Economic Review , and Journal of Public Economics

• Computational Social Choice
• Voting Theory
• Multi-winner Elections
• +۵ مورد دیگر

Martin Lackner is an Associate Professor in the Databases and Artificial Intelligence department at the Faculty of Informatics, Vienna University of Technology. His research focuses on computational social choice, voting theory, and algorithmic decision making, with particular expertise in multi-winner elections, approval-based voting systems, and participatory budgeting. He maintains an active research program with continuous publications in top AI and theoretical computer science venues. Lackner's research interests center on the theoretical foundations and practical implementations of fair decision-making systems. His work bridges theoretical computer science with practical applications in democratic processes, examining how computational methods can enhance fairness, representation, and efficiency in collective decision making. He has made significant contributions to understanding the computational complexity of voting rules, developing new algorithms for preference aggregation, and establishing axiomatic properties for multiwinner election methods. His recent publications demonstrate a consistent focus on fairness in long-term decision processes, with particular attention to perpetual voting systems, participatory budgeting mechanisms, and approval-based multiwinner rules. The research shows strong theoretical grounding combined with practical implementation considerations, as evidenced by his development of the abcvoting Python package for implementing approval-based voting rules. Lackner has received continuous funding for his research through multiple projects: SuDeMa (2019–2025): Algorithms for Sustainable Group Decision Making (Austrian Science Fund) FAIR (2013–2018): Fixed-Parameter Tractability in Artificial Intelligence and Reasoning (Austrian Science Fund) HINT (2012–2017): Heterogenous Information Integration (Austrian Science Fund) SEE (2012–2016): SPARQL Evaluation and Extensions (Vienna Science and Technology Fund) As an academic advisor, Lackner has supervised doctoral and master's students including J. Maly (2020) on ranking sets of objects and B. Krenn (2019) on algorithms for implicit delegation to predict preferences. His work appears in premier venues including AAAI, IJCAI, AAMAS, and the Journal of Artificial Intelligence Research, demonstrating both theoretical depth and practical relevance to democratic processes and collective decision making.

Jan Malyمشاهده پروفایل

استادیار

• Computational Social Choice
• Logic and Knowledge Representation
• Participatory Budgeting
• +۳ مورد دیگر

Jan Maly is an Assistant Professor at the Institute for Data, Process and Knowledge Management (DPKM) of the Vienna University of Economics and Business (WU Wien) and a postdoctoral researcher in the Database and Artificial Intelligence Group (DBAI) of TU Wien. He is currently on parental leave until September 15, 2024. His educational background includes mathematics and philosophy studies at Würzburg University, specialization in mathematical logic at Vienna University, and a PhD in computer science from TU Wien completed in 2020. Dr. Maly's research focuses on Computational Social Choice (COMSOC), Logic and Knowledge Representation, with particular emphasis on Participatory Budgeting and Fairness in Online Decision Making. His work aims to develop tools that help people make better decisions, individually or as a group, by investigating non-standard voting frameworks and computational complexity questions. His recent work addresses the critical problem that simple majority voting in online environments marginalizes minority opinions and reinforces filter bubble effects. Analysis of his publication record reveals a strong focus on developing fair voting mechanisms for participatory budgeting and online decision-making. His work bridges theoretical computational social choice with practical applications, particularly in developing algorithms that ensure proportional representation while maintaining computational feasibility. The publications demonstrate increasing sophistication in handling multi-issue decisions, perpetual voting scenarios, and complex budget allocation problems. netidee SCIENCE grant (2024, ~400,000 euros) Erwin Schrödinger Fellowship from FWF Dr. Maly has co-supervised PhD students including Simon Rey and Michael Bernreiter. His collaborative work spans multiple institutions, including the University of Amsterdam where he worked from September 2021 to April 2023 as a member of the COMSOC Group. He is also the co-founder of the European Digital Democracy Network, which organized its first conference in April 2024 bringing together over sixty scientists and practitioners.

• Algorithms
• Graph Theory
• Computational Complexity
• +۲ مورد دیگر

Manuel Sorge is a Research Fellow in the Faculty of Informatics at Vienna University of Technology, affiliated with the Algorithms and Complexity group (E192-01). His research focuses on parameterized algorithms, graph theory, and computational complexity, with particular emphasis on graph modification problems, clustering algorithms, and combinatorial optimization. His work spans several areas including graph drawing, algorithmic game theory, and machine learning. Research interests include: Parameterized complexity and kernelization Graph algorithms and combinatorial optimization Algorithmic graph theory and discrete mathematics Computational geometry and graph drawing Supervises master's students in algorithm design and complexity theory. Current projects include Parameterized Graph Drawing (2023–2027).

Salvador Barberàمشاهده پروفایل

استاد

• Social Choice Theory
• Mechanism Design
• Game Theory
• +۷ مورد دیگر

Salvador Barberà is a Professor of Economics at the Autonomous University of Barcelona since 1986, Director of the MOVE research consortium, and a Research Professor at the Barcelona Graduate School of Economics. His academic contributions span multiple roles in research institutions and government agencies, including leadership positions at ICREA and the Spanish Ministry of Science and Education. Research Focus: Social Choice Theory, Mechanism Design, Game Theory, and Public Economics. Leadership Roles: Past-president of the Social Choice and Welfare Society and ASSET; served on journal editorial boards (Econometrica, Games and Economic Behavior). His research investigates strategy-proof rules, constitutional design, domain restrictions, coalition formation, and decision-making under uncertainty. Key themes include preference aggregation, institutional design, and the interplay between individual and collective rationality. Recent publications address foundational topics in social choice and mechanism design, with a focus on voting systems, committee structures, and incentive-compatible allocation rules. These works bridge theoretical rigor with applications in political economy and public policy. Scientific Awards 2011: Fellow of the Society for the Advancement of Economic Theory 2008: Corresponding member of the Academia Nacional Argentina de Ciencias Económicas 2008: Rey Jaime I Award 2007: Doctor Honoris Causa, Universidad Pablo de Olavide de Sevilla 2006: Fellow of the Spanish Economic Association 1988: Fellow of the Econometric Society 2010: Spanish National Research Prize “Pascual Madoz” in Social Sciences and Economics 2007: Fundació Catalana per a la Recerca i la Innovació Prize (FCRI) 1996: Rey Juan Carlos Award 2007: Encomienda con Placa de la Orden Civil de Alfonso X “El Sabio” 2006: Commandeur de l’Ordre National Du Mérite Barberà has held visiting positions at Caltech, Stanford University, and the Université des Sciences Sociales de Toulouse. He has influenced economic policy through roles like Secretary General for Scientific and Technological Policies in Spain’s Ministry of Science and Education.

Michael Dummettمشاهده پروفایل

استاد

• Philosophy of Language
• Philosophy of Mathematics
• Logic
• +۴ مورد دیگر

Michael Dummett served as Wykeham Professor of Logic at the University of Oxford from 1979 to 1992. A leading figure in analytic philosophy, he specialized in the philosophy of language, mathematics, logic, and metaphysics. His notable contributions include foundational works on Frege, intuitionism, and voting systems. Key honors include the Rolf Schock Prize (1995), knighthood (1999), and the Lauener Prize (2010). Education: No explicit details provided, though his academic career indicates advanced training in philosophy. Research focuses on linguistic meaning, metaphysical foundations, and social choice theory. Major publications include Frege: Philosophy of Language , Truth and Other Enigmas , and Voting Procedures . Awards and lectureships highlight his global influence: Gifford Lectures (1997), John Dewey Lectures (2003), and extensive recognition in European academic circles. His interdisciplinary work bridges philosophy, mathematics, and political science, with notable contributions to refugee ethics and electoral reform theory. His legacy includes foundational texts in analytic philosophy and pioneering work in formal semantics. Dummett’s later works like Thought and Reality (2006) further solidified his impact on metaphysical discourse.