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Karl Michael Göschka is an Associate Professor at Vienna University of Technology (TU Wien) in the Department of Distributed Systems (E194-02) within the Faculty of Computer Science. His academic title of Privatdozent indicates he has completed habilitation, the highest academic qualification in the German/Austrian system. He maintains an active research and teaching profile with courses scheduled through 2026S, including Bachelor Thesis supervision, Computer Science Projects, and PhD Seminars. His research spans over two decades with consistent publications from 2004 to 2022. Göschka's primary research interests focus on Dependable Distributed Systems, Web Engineering, and the convergence of voice and data technologies. His work demonstrates particular expertise in middleware, service-oriented architecture, wireless sensor networks, and fault tolerance mechanisms. He has supervised numerous master's and diploma theses since 2006, with his most recent doctoral supervision completed in 2022. Göschka's publication record shows a clear evolution from foundational work in distributed systems and replication (2004-2013) to more recent contributions in wireless sensor networks and dependable computing (2020-2022). His research consistently addresses the challenge of balancing dependability, performance, and security in distributed environments, with notable contributions in temporal decoupling techniques and adaptive systems. GIT-Preis des Österreichischen Vereins für Elektrotechnik (1999) Würdigungspreis des Ministeriums für Wissenschaft und Forschung (1998) GIT-Förderpreis des Österreichischen Vereins für Elektrotechnik (1994) Göschka has led and participated in multiple significant research projects including TRADE (2008-2011) on adaptive performance optimization, COMPASS (2005-2007) for automotive software systems, S-Cube (2008-2012), ALL-TIMES (2007-2010), and DeDiSys (2004-2007) on dependable distributed systems. His research has strong practical applications in automotive systems, online auctions, and critical infrastructure monitoring.

• Dependable Distributed Systems
• Web Engineering
• Convergence of Voice and Data
• +5 more

Hongbo Jiang is a Distinguished Professor and Vice Dean of the College of Computer Science and Electronic Engineering at Hunan University, China. He holds concurrent roles as Director of the Trusted Systems and Networking Key Laboratory of Hunan Province and Director of the Hunan International Technical Cooperation Base for High-Performance Computing and Distributed Systems. His academic journey includes tenures as a Professor at Huazhong University of Science and Technology and a Hong Kong Scholar Research Fellow at The Chinese University of Hong Kong. Education: PhD in Computer Science (Case Western Reserve University, 2008), B.S./M.S. in Mathematics (Huazhong University of Science and Technology, 2002). Research Interests: Distributed systems, mobile computing, smart sensing, wireless networks, IoT, and edge computing. Ongoing projects include mobile/wireless applications, data science in IoT, and edge computing platforms. His work emphasizes practical implementations such as DriverSonar for driving safety and SmileAuth for biometric authentication. Key Achievements: Elected Member of Academia Europaea (2022), Fellow of AAIA, IET, and BCS. Notable awards include the Wu Wenjun Science and Technology Award (2020) and multiple best paper recognitions. Over 100+ publications in top venues like ACM MobiCom, IEEE/ACM Transactions. Professional Contributions: Editorial roles across 8+ journals including IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks. Conference leadership includes co-founding ACM TURC and EAI ICECI. Active in technical committees for INFOCOM, MOBIHOC, and ICDCS. Labs/Teams: Leads research groups focused on networking, IoT, and edge computing. Current openings for PhD/MSc students and PostDoc researchers with strong mathematical and systems backgrounds.

• Distributed systems
• Mobile computing
• Smart sensing
• +5 more

David Newbery serves as Professor of Applied Economics at the University of Cambridge's Faculty of Economics since 1988 and Research Director of the Electricity Policy Research Group (EPRG). His career spans prestigious appointments including Visiting Professorships at Stanford, Princeton, UC Berkeley, and Imperial College London, alongside significant policy roles at the World Bank and IMF. His research focuses on electricity market design , climate policy economics , and transport pricing , addressing critical challenges in energy transition and regulatory frameworks. Key contributions include foundational work on supply function equilibria, market power assessment in liberalized utilities, and optimal climate policy instruments. Analysis of his publications reveals consistent leadership in energy market restructuring (1990s-2000s) renewables integration economics (2000s-2010s) climate policy-market power interactions (2000s-present) with methodological strengths in game theory and empirical industrial organization. Major recognitions include: CBE (2012 Birthday Honours) Frisch Medal (1990) Fellowships of Econometric Society and British Academy IAEE Outstanding Contributions Award (2003) Honorary Degree from University of Antwerp (2004) Newbery's policy impact extends through World Bank advisory roles (1981-83 as Division Chief of Public Economics), IMF consultations (1987), and sustained engagement with European energy regulators via EPRG. His work informs critical infrastructure pricing frameworks globally, particularly in electricity and transport sectors. He leads the Electricity Policy Research Group at Cambridge, fostering interdisciplinary collaboration between economists, engineers, and policy experts to address energy transition challenges through rigorous market design analysis.

• Electricity Policy Research
• Market Design and Behaviour
• Transmission Access Pricing
• +7 more

Xiaotie Deng is a distinguished academic and Chair Professor at Peking University (since 2018), with prior roles at Shanghai Jiao Tong University (2013–2017), the University of Liverpool (2010–2013), and City University of Hong Kong (1997–2013). His research focuses on algorithmic game theory, internet economics, and parallel computing. He holds prestigious fellowships including ACM Fellow (2008) and IEEE Fellow (2019). Deng has led significant grants, including a RMB 5M project on algorithmic game theory at Peking University (2018–2020) and NNSFC-funded research on market competitiveness and fairness (2018–2020). Education: PhD in Computer Science from Stanford University (1989), MSc from Chinese Academy of Sciences (1984), BSc from Tsinghua University (1982). Research interests span computational game theory, equilibrium analysis, and blockchain applications. Notable contributions include foundational work on Nash equilibrium complexity and mechanism design for resource allocation. He has advised numerous PhD students and serves on editorial boards of top journals like SIAM Journal on Computing and IEEE Transactions on Cloud Computing. Key awards: ACM and IEEE Fellowships, JSPS Invitation Fellowships (2005, 1996), and NSERC International Fellowship (1991). Active in conference organizing, including PC chairs for WINE 2020 and SAGT 2018. Consultancy includes work with Cryptape, Ant Financial, and Microsoft Research Asia, reflecting his industry engagement in algorithmic solutions and blockchain technologies.

• Algorithmic Game Theory
• Internet Economics
• Parallel Computing
• +1 more

Leandros Tassiulas is the John C. Malone Professor of Electrical Engineering at Yale University, with additional appointments in Computer Science. His career spans faculty positions at the University of Thessaly, University of Maryland, University of Ioannina, and Polytechnic University. A Fellow of both IEEE (2007) and ACM (2020), he is renowned for contributions to network control theory, including the max-weight scheduling algorithm and back-pressure network policy. PhD in Electrical Engineering (1991) from the University of Maryland, College Park His research focuses on computer and communication networks , emphasizing mathematical models for complex networks , wireless system architectures , stochastic systems , and energy-efficient network design . Recent work explores quantum networking (Pant et al., 2019) and federated learning in edge environments (Jiang et al., 2022). Key publication trends include stability analysis (earlier works), mobile edge computing (2019), software-defined networking (2021), and smart grid optimization (2012-2013). The list includes monographs on network theory and patents for distributed bandwidth allocation (2011) and directional antenna protocols (2002). Scientific Awards ACM Fellow (2020) for network control contributions IEEE Koji Kobayashi Award (2016) for scheduling/stability analysis IEEE INFOCOM Achievement Award (2007) for resource allocation Bodossaki Foundation Prize (1999) for distributed systems NSF CAREER, ONR Young Investigator, and multiple best paper awards His work has been funded by the NSF, ONR, and IBM. Current projects bridge AI , quantum communication , and next-generation network architectures .

• Wireless Networks
• Machine Learning
• Network Optimization
• +3 more

Erik Teodoor Verhoef is a Full Professor of Spatial Economics at the Department of Spatial Economics, VU University Amsterdam (since 2002). He also holds a Visiting Professorship at the Institute for Transport Studies, University of Leeds (2009–present). His academic roles include serving as Research Director and Vice Dean in the Faculty of Economics and Business Administration at VU University Amsterdam (2008–2011). He earned a Cum Laude Economics degree from the University of Groningen (1991) and a PhD from VU University Amsterdam (supervised by Professors Peter Nijkamp and Piet Rietveld). Research interests focus on transport economics , urban economics , and spatial externalities , including traffic congestion, network analysis, and second-best regulation. He has contributed to seminal work on congestion pricing, private road auctions, and spatial equilibrium modeling. Honors include the Epainos Prize (1996), RSUE Innovative Research Award (2000), and Reimut Jochimsen Prize (2006). He is a Highly Cited Author in Journal of Urban Economics (2004–2008) and a Fellow of the Regional Science Association International since 2010. Editorial roles include Co-Editor-in-Chief of Economics of Transportation and Associate Editor for Transportation Research B and Journal of Regional Science . He has organized major conferences, including the European Regional Science Association Conference in Amsterdam (2005) and Nectar-Kuhmo Summer Schools (2006–2011).

• Traffic congestion
• Static and dynamic network analysis
• Urban externalities
• +6 more

Maarten Janssen serves as Professor of Microeconomics at the University of Vienna's Department of Economics within the Faculty of Business, Economics and Statistics, where he also holds the position of Vice-Director of Studies for the Directorate of Doctoral Studies. His teaching portfolio includes advanced courses such as the OMDS/VGSE Research Seminar in Microeconomics (MA), Industrial Organization (BA), and Competition and Regulation: Theory (MA), reflecting his deep engagement with both theoretical and applied microeconomic education. His research centers on consumer search behavior, auction theory, and markets characterized by asymmetric information, with particular emphasis on digital platforms and e-commerce dynamics. Janssen investigates how consumers navigate search costs, how platforms leverage big data for ranking algorithms, and how firms strategically design pricing and return policies in competitive environments. His work bridges rigorous theoretical modeling with practical market applications, often focusing on welfare implications for consumers and market efficiency. Analysis of his 2023-2025 publications reveals dominant themes in platform economics, including dual learning mechanisms where platforms optimize rankings based on consumer choices, strategic implications of unobserved wholesale contracts, and welfare effects of influencer marketing in search markets. His research consistently addresses real-world market design challenges in digital commerce and information-rich environments. Professor Janssen's scholarly recognition includes the following distinctions: fellow of the CEPR (London) member of the Royal Holland Society of Sciences and Humanities research associate at ZEW (Mannheim) academic affiliate at CEG Europe He actively supervises PhD students in the Department of Economics and maintains collaborative research relationships through his institutional affiliations. His work frequently examines the intersection of microeconomic theory with industrial organization challenges, particularly in evolving digital markets where information asymmetry and consumer search behavior create unique strategic considerations for firms and platforms. Through his affiliations with CEPR, ZEW, and CEG Europe, Janssen participates in international research networks that facilitate cross-institutional collaboration on industrial organization topics, contributing to both academic discourse and policy-relevant economic analysis in European markets.

• Consumer Search
• Auctions
• Markets with Asymmetric Information
• +4 more

Monika Henzinger is a Professor at the Institute of Science and Technology Austria (ISTA) since 2023 and Vice President for Technology Transfer at ISTA since 2024. Her research focuses on efficient algorithms and data structures , particularly in dynamic settings where input data changes continuously. She also investigates privacy-preserving algorithms and the practical implementation of theoretically optimal algorithms. Education: PhD in Computer Science (1993, Princeton University, USA) Research Interests: Her work spans dynamic graph algorithms, differential privacy, and transforming theoretical algorithms into practical solutions. Key areas include minimizing computational resources, proving limits of efficiency, and ensuring data privacy through noise addition. Article Trends: Recent publications emphasize dynamic algorithms for graph problems , differential privacy , and clustering techniques . Topics such as minimum cut, bipartite matching, and edge coloring in dynamic environments are prominent, alongside privacy-preserving data analysis. Scientific Awards: 2024 Best Paper Award (SODA) 2021 Wittgenstein Award and ERC Advanced Grant 2019 Carus Medal (Leopoldina Academy) 2016 ACM Fellow 2014 ERC Advanced Grant 2004 European Young Investigator Award Advising & Grants: She advises PhD students and leads projects funded by grants such as the ERC Advanced Grant, Wittgenstein Award, and Austrian Science Fund initiatives. Her team includes postdocs and PhD candidates working on dynamic data structures and privacy. Labs & Teams: Leads the Henzinger_Monika Group at ISTA, focusing on algorithms, data structures, and dynamic graph problems. Collaborates with institutions globally on projects related to network optimization and privacy.

• Algorithms
• Data Structures
• Dynamic Graph Algorithms
• +4 more

Aniello Murano is a Professor in Computer Science at the Department of Electrical Engineering and Information Technology of the University of Naples Federico II. He serves as Scientific Director of the ASTREA (Automated Strategic REAsoning) Laboratory and has been actively involved in numerous research projects including H2020-MSCA project SEAL as Principal Coordinator and PNRR Research Unit Coordinator on Resilient Strategic Reasoning in AI (2023-2025). His primary research interests focus on Artificial Intelligence, Formal Aspects for Strategic Reasoning in Multi-Agent Systems under Perfect and Imperfect Information, Specification, Verification, and Synthesis of Reactive Systems, Model Checking and Module Checking, Formal Languages, Automata Theory, Real-time Systems, Pushdown and Hierarchical Systems, Temporal and Modal Logics, Logics for Strategic Reasoning in AI, Game Theory, Parity Games, Solution Concepts, and Automated Mechanism Design. His work bridges theoretical computer science with practical applications in AI systems. Murano has published extensively in top-tier venues, with recent publications spanning KR, IJCAI, AAAI, AAMAS, and other premier conferences. His research shows strong trends in strategic reasoning frameworks, verification techniques for multi-agent systems, and applications of game theory to mechanism design. He has made significant contributions to Strategy Logic and its extensions. JPMorgan Faculty Research Award 2022 Best Paper Award PRIMA 2015 Vigevani Research Project Prize 2010 In KR Top 100, best AI-2000 world researchers Italian Scientific Abilitation as Full Professor in Engineering Computer Science (March 2018) Italian Scientific Abilitation as Full Professor in Computer Science (April 2017) Royal Society Award 2016 Murano has supervised numerous PhD students including Silvia Stranieri, Antonio Di Stasio, Vadim Malvone, and Giuseppe Perelli. He has served as Program Chair for major conferences including ECAI 2025 (Program co-chair), KR 2024 (Area chair), and CSL 2024. His research has been supported by significant grants including Horizon 2020 projects, JPMorgan funding, and Italian national research programs. He leads the ASTREA Laboratory focused on automated strategic reasoning and has been instrumental in establishing collaborative research initiatives with institutions worldwide.

• Artificial Intelligence
• Strategic Reasoning in Multi-Agent Systems
• Formal Verification
• +10 more

Bernhard Kasberger is a Professor of Energy and Environmental Economics at the Johannes Kepler University Linz and the Austrian Institute of Economic Research. He joined both institutions in May 2025 as a University Professor after serving as Assistant Professor of Applied Microeconomic Theory at the University of Konstanz (2023-2025). His academic journey includes postdoctoral research at the Düsseldorf Institute for Competition Economics and a Junior Research Fellowship at The Queen's College, University of Oxford. Dr. Kasberger's research focuses on auction and market design, energy and environmental economics, industrial organization, and game theory. He has developed computational tools for analyzing auction equilibria, as evidenced by his GitHub repository 'auction_solver' which computes symmetric equilibria of discrete first-price and all-pay auctions. His methodological approach combines theoretical modeling with computational techniques to address complex market design problems. His recent publications demonstrate a strong trajectory in top economics journals, highlighted by the acceptance of 'Bidding in Multi-Unit Auctions under Limited Information' in the Journal of Economic Theory (2025). His research portfolio spans energy market design, environmental policy instruments, healthcare efficiency, and labor market structures, showing both theoretical depth and practical policy relevance. teaching prize (Lehrpreis) of the Department of Economics of the University of Konstanz (2024) DFG funding for research project 'strategic uncertainty in market design' (~270,000 EUR for three years) (2024) Scientific program committee for the 2024 European Winter Meeting of the Econometric Society As an educator, Professor Kasberger teaches 'Public Finance, Environment and Health' at JKU. His commitment to both research and teaching excellence is evident in his career progression and recognition. His work bridges theoretical economics with practical applications in energy, environmental, and healthcare markets, contributing valuable insights for both academic and policy communities.

• Auction and Market Design
• Energy and Environmental Economics
• Industrial Organization
• +1 more

Monika Henzinger is a Professor at the Institute of Science and Technology Austria (ISTA), where she has been serving since 2023, and additionally holds the position of Vice President for Technology Transfer since 2024. Her academic journey includes professorships at the University of Vienna (2009-2023) and EPFL in Switzerland (2005-2009), as well as industry experience at Google (1999-2005) and Digital Equipment Corporation (1996-1999). She earned her PhD from Princeton University in 1993 and served as an Assistant Professor at Cornell University from 1993-1996. Dr. Henzinger's research focuses on the design and analysis of efficient algorithms and data structures, with particular emphasis on dynamic settings where inputs change repeatedly, privacy-preserving algorithms, and translating theoretical algorithms into practical implementations. Her work bridges theoretical computer science with practical applications, addressing fundamental questions about computational efficiency in evolving data environments. Her recent publications (2024-2025) demonstrate a consistent focus on dynamic graph algorithms, differential privacy, and optimization problems. These works explore cutting-edge approaches to maintaining graph structures under continuous updates, developing privacy-preserving mechanisms for streaming data, and creating efficient approximation algorithms for fundamental graph problems. The research shows strong connections between theoretical guarantees and practical implementations, with many papers addressing both theoretical bounds and experimental validation. Dr. Henzinger has received numerous prestigious awards throughout her career, including: The 2024 Best Paper Award at the Symposium on Discrete Algorithms The 2021 Wittgenstein Award Two ERC Advanced Grants (2014, 2021) Fellow of the Association of Computing Machinery (2016) Member of the Austrian Academy of Sciences (2017) The Carus medal of the German Academy of Sciences Leopoldina (2019) She currently leads an active research group comprising PhD students and postdoctoral researchers, and her team is supported by multiple significant grants including an ERC Advanced Grant for 'The design and evaluation of modern fully dynamic data structures,' a Wittgenstein Award from the Austrian Science Fund, and several other projects focused on dynamic graph algorithms and data structures. Her collaborative work spans theoretical computer science, algorithm design, and practical implementations. Dr. Henzinger's research group operates within a vibrant ecosystem of algorithmic research at ISTA, focusing on transforming theoretical insights about computational efficiency into practical tools for handling dynamic data. The group maintains strong connections with both theoretical and applied research communities, bridging the gap between abstract algorithm design and real-world implementation challenges.

• Algorithms
• Data Structures
• Dynamic Graph Algorithms
• +3 more

Christine Zulehner is Professor of Economics at the University of Vienna and a research fellow at the Austrian Institute of Economic Research (WIFO). Her academic career includes prior positions at Goethe University Frankfurt and Johannes Kepler University Linz. Her research focuses on industrial organization, competition economics, auctions, labor demand, and gender differences . Key ongoing projects examine merger remedies in the EU, consumer inattention in US cereal markets, and Austrian loan demand. Her work combines theoretical frameworks with empirical analysis of real-world markets. Recent publications demonstrate consistent output in top journals including the Journal of Transport Economics and Policy , Journal of Public Economics , and American Economic Journal: Microeconomics . Her research spans procurement auctions, gender wage gaps, e-commerce dynamics, and cartel analysis with strong policy relevance for competition authorities and labor market institutions. Dr. Zulehner actively consults for government agencies and firms on empirical questions and antitrust cases, bridging academic research and practical applications. She collaborates extensively with institutions including WIFO, Oesterreichische Nationalbank, and international universities. Her laboratory and team affiliations include the Department of Economics at the University of Vienna and the Austrian Institute of Economic Research (WIFO), where she contributes to ongoing research programs in industrial organization and labor economics.

• Industrial Organization
• Competition Economics
• Auctions
• +5 more

Univ.-Prof. Dr. Markus Walzl is a Professor and Dean of the Faculty of Economics and Statistics at the University of Innsbruck. He leads the Department of Economic Theory, Policy and History, focusing on applied microeconomic theory, decision science, and institutional design. His research explores credence goods markets, incentives in multi-task environments, and behavioral aspects of economic systems. Key projects include leadership of the FWF-funded SFB F63 (Credence Goods, Incentives, and Behavior) and co-founding the Prosocial initiative. His work bridges theory and practice through studies on financial advice markets, environmental policy mechanisms, and institutional evolution. Walzl's research interests emphasize interdisciplinary approaches, combining economics with theology, philosophy, and social psychology. He investigates how institutional frameworks shape market outcomes, particularly in contexts of information asymmetry, moral hazard, and reputation building. Recent work examines the role of certification vs. monitoring in environmental regulation and the dynamics of persuasion in labor markets. Research affiliations: IDS (Innsbruck Decision Science), SFB F63, Prosocial Initiative Grants: FWF Special Research Program (SFB) F63 Teaching: Microeconomic theory, market design, and policy analysis His publications span over two decades, addressing topics from auction behavior to corporate leniency programs. He maintains active participation in academic networks and serves as an institutional leader within the Faculty of Economics and Statistics.

• Applied Microeconomic Theory
• Decision Science
• Credence Goods Markets
• +3 more

Rupert Sausgruber is a Professor of Public Economics and the Rector of Vienna University of Economics and Business (WU) . His research focuses on applying Behavioral Economics to understand taxation, redistribution, public goods provision, and voting behavior. He has collaborated with institutions like the University of Copenhagen , University of Michigan , and Max Planck Institute , publishing in top journals such as Journal of Public Economics and European Economic Review . Roles: Rector, Department of Economics (WU), Professor of Public Economics Key Topics: Tax compliance, behavioral public economics, experimental methods, social preferences His recent work explores team dynamics, ethnic discrimination in healthcare, and policy diffusion. Sausgruber has received funding for projects like Effective and Efficient Corporate Tax Enforcement and Experimental Investigations of Labor Markets . He has served on editorial boards, habilitation committees, and as a peer reviewer for academic proposals.

• Behavioral Economics
• Public Economics
• Experimental Economics
• +5 more

Privatdozent Dr. Ulrich Morawetz is a Senior Lecturer at the Institute for Sustainable Economic Development within the Department of Economic and Social Sciences at the University of Natural Resources and Life Sciences, Vienna. He holds a doctorate in Natural Resources and Life Sciences (2011) and a degree in Economics from the University of Vienna (2004). His work focuses on agricultural economics, environmental economics, and sustainable development, with significant contributions to climate change adaptation, policy evaluation, and consumer behavior in agrarian markets.

• Agricultural Economics
• Environmental Economics
• Sustainable Development
• +6 more