جستجوی استاد راهنمای دانشگاهی

Martin Gruber-Risakمشاهده پروفایل

دانشیار

• Labour Law
• Social Law
• European Employment Law
• +۵ مورد دیگر

Associate Professor Dr. Martin Gruber-Risak has been a core faculty member at the University of Vienna’s Institute for Labour and Social Law since 1996, serving as Associate Professor from 2012 onward and as Scientific Director of the LL.M. programme "Labour Law". Education & Career: 1989-1993 Law studies, University of Vienna 1993-1999 Doctoral studies in law, University of Vienna 2003 William Evans Visiting Fellow, University of Otago, NZ 2007 Habilitation in Labour & Social Law, University of Vienna 2010-2012 Marie Curie International Outgoing Fellow (University of Otago & Vienna) 2020 Visiting Professor, University of Salzburg Research Interests: Gruber-Risak’s scholarship covers Austrian and European labour law, working-time regulation, collective bargaining, dispute resolution & mediation, atypical employment, and the legal challenges of digital platform work. His recent projects analyse crowd-work, algorithmic management and EU initiatives for fair platform working conditions. Publications & Trends: Author of 19 monographs and more than 140 articles since 1999, he explores evolving employment forms, unilateral wage clauses, dismissal protection, and the transposition of EU directives into Austrian law, combining doctrinal analysis with socio-legal and comparative perspectives. Scientific Awards: Leopold Kunschak Science Prize 2009 Cardinal Innitzer Prize 2009 Projects & Grants: He currently leads the FWF project "Virtual Employees" investigating platform work and has participated in EU studies on digitalisation and labour law reform. Labs & Teams: He heads the "Labour Law" LL.M. programme team and is a key member of the Institute for Labour and Social Law research group focusing on digitalisation and European labour standards.

• Artificial Intelligence
• Recommender Systems
• Information Systems
• +۲ مورد دیگر

Dietmar Jannach is a Full Professor at the University of Klagenfurt, Austria, affiliated with the Institute for Artificial Intelligence and Cybersecurity where he leads the Research Group for Information Systems. His academic roles include membership in the university's Senate and Curricular Commissions for Liberal Arts and Information Management. His research spans: Core Areas : Artificial Intelligence, Recommender Systems, and Software Engineering. Methodological Focus : Algorithm reproducibility, fairness in AI, sequential recommendations, and hybrid learning models. Emerging Interests : Generative AI for group decision support, ethical recommender systems, and foundation model applications. Jannach's recent publications critically evaluate reproducibility challenges in AI research, advocate for calibrated recommendations to mitigate bias, and explore agentic paradigms in group recommender systems. He emphasizes real-world validation, with studies on deployment challenges and developer experiences in software processes. He actively contributes to academic governance and mentors through research groups, though specific student advisees are not listed. Contact via Dietmar.Jannach@aau.at .

Christine Bauerمشاهده پروفایل

استاد

• Recommender Systems
• Human-Computer Interaction
• Algorithmic Fairness
• +۴ مورد دیگر

Christine Bauer is a University Professor at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces. She serves as Head of the program area 'InterMediation. Music—Effect—Analysis' (2024-2028) and is actively involved in the EXDIGIT project (Excellence in Digital Sciences and Interdisciplinary Technologies) running from 2022 to 2028. Her work spans computer science, social sciences, and economics, contributing to Sustainable Development Goals related to education and responsible innovation. Her research focuses on recommender systems, particularly examining fairness, gender bias, and ethical considerations in music recommendation algorithms. She investigates how choice models and ranking strategies impact gender imbalance in music recommendations, explores value alignment in news recommenders, and develops frameworks for evaluating conversational agents. Her interdisciplinary approach bridges technical algorithm development with social science perspectives to create more equitable and transparent recommendation systems. The analysis of her recent publications reveals a strong trend toward interdisciplinary evaluation frameworks for recommender systems, with particular emphasis on fairness metrics, gender bias mitigation, and stakeholder-centered perspectives. Her work increasingly addresses the social implications of algorithmic decision-making, especially in music streaming contexts where artist diversity and representation are critical concerns. She has been instrumental in establishing evaluation standards that consider multiple stakeholder perspectives beyond just end-users. Women in RecSys Journal Paper of the Year Award 2024, Senior category Women in RecSys Journal Paper of the Year Award 2023, Senior category Best Reviewer Award @ UMAP 2022 Best Reviewer Award @ RecSys 2019 CPDP 2013 Multidisciplinary Privacy Research Award Professor Bauer actively mentors through conference workshops and serves as an Independent Ethics Advisor (2023-2025). She has secured significant research funding through projects like EXDIGIT and has contributed to numerous grant-funded initiatives focused on digital sciences and interdisciplinary technologies. Her organizational activities include chairing major conferences such as the European Conference on Information Retrieval (2026) and the Human-Computer Interaction Conference of the Alpine region (2026). She leads research teams focused on recommender systems evaluation, particularly through the Perspectives on Evaluation of Recommender Systems (PERSPECTIVES) workshop series and the Music Recommender Systems (MuRS) workshops. Her current work with the EXDIGIT project involves collaboration with researchers across multiple disciplines to advance digital sciences and interdisciplinary technologies.

Christine Bauerمشاهده پروفایل

استاد

• Interactive Intelligent Systems
• Recommender Systems
• Human-Computer Interaction
• +۹ مورد دیگر

Christine Bauer is a Professor of Interactive Intelligent Systems at the Department of Artificial Intelligence and Human Interfaces (AIHI), University of Salzburg, Austria. She is also Co-Lead of the interdisciplinary focus area InterMediation. Music—Effect—Analysis at the inter-university organization Wissenschaft & Kunst. Her research lies at the intersection of artificial intelligence, human-computer interaction, and human-centered computing, with a strong emphasis on fairness, context-awareness, and multi-method evaluation in recommender systems. Doctoral degree in Social and Economic Sciences (Business Informatics), 2009, University of Vienna MSc in Business Informatics, 2011, TU Wien Diploma in International Business Administration, 2002, University of Vienna Study of Jazz Saxophone, Konservatorium der Stadt Wien Her research interests center on interactive intelligent systems , particularly recommender systems in music and media, with a human-centered approach. She investigates how technology can align with societal and individual needs, focusing on fairness in algorithms , culture-aware recommendation , and multi-stakeholder evaluation . Her work often integrates interdisciplinary methods and real-world impact. The recent publications highlight a consistent trend in fairness and diversity in music and news recommendation, cross-cultural user behavior , and evaluation frameworks . Her research bridges technical rigor with ethical considerations, particularly in algorithmic bias and artist equity. She has made significant contributions to understanding gender imbalance , cultural granularity , and user conformity in digital music ecosystems. Elise Richter laureate (FWF) 6 best paper awards, 5 nominations Women in RecSys Journal Paper of the Year Award (2023, 2024) 5 awards and 6 recognitions for reviewing excellence Christine Bauer has supervised over 70 theses and taught at 17 institutions worldwide. She is deeply involved in academic service, including editorial roles (AE at TOIS, TORS, JITT), conference organization (RecSys, CHI, CIKM), and mentoring initiatives (WiMIR, LEA, Allyship at CHI). She leads impactful projects such as FairRecKit and SpART: Spotlight on Artists in Recommender Systems , aiming to create more equitable and transparent recommendation technologies. She frequently engages in public outreach through keynotes, media appearances, and policy discussions. She is affiliated with the University of Salzburg as her primary institution and was previously associated with JKU Linz and the University of Klagenfurt. Her labs and research teams focus on interactive intelligent systems , music recommenders , and fair AI , often in collaboration with interdisciplinary partners in arts and social sciences.

• Computer Science
• Software Engineering
• Formal Methods
• +۶ مورد دیگر

Thomas Henzinger is a Professor at the Institute of Science and Technology Austria (IST Austria) since 2009, serving as its President from 2009 to 2022. He holds honorary doctorates from Fourier University and Masaryk University. His research focuses on formal methods for improving software reliability in concurrent and embedded systems, with contributions to quantitative verification, quantum computing, and algorithmic fairness. He leads the Henzinger Group , which addresses challenges in software correctness, safety-critical systems, and AI ethics. Education: PhD from Stanford University (1991), followed by postdoctoral work at Université Joseph Fourier (1991). Research Interests: Concurrent and embedded systems, formal methods, quantum algorithms, fairness in AI, and runtime verification. His team develops mathematical foundations and tools to ensure software robustness in complex systems. Recent Trends in Publications: Focus on advancing formal verification techniques for neural networks, quantum computing, and ethical AI. Key contributions include fairness shields for decision systems and middleware for third-party monitoring (VAMOS). Awards: Royal Society Fellow (2024), US National Academy of Sciences Member (2020), Wittgenstein Award (2012), and numerous test-of-time awards. Advising & Grants: Advised over 20 PhD students. Secured ERC Advanced Grants (VAMOS, QUAREM) and FWF grants (Wittgenstein Award). Labs/Teams: Leads the Henzinger Group , collaborating on projects like SPyCoDe (semantic security) and VAMOS (third-party monitoring middleware).

Elena Espositoمشاهده پروفایل

استاد

• Communication theory
• Systems theory
• Digital communication
• +۵ مورد دیگر

Elena Esposito is a Full Professor at the Department of Political and Social Sciences, University of Bologna, and at the Faculty of Sociology, University of Bielefeld. She holds the scientific-disciplinary sector GSPS-06/A (Sociology of cultural and communicative processes). Her work bridges systems theory, digital communication, and algorithmic futures, with a focus on artificial intelligence, prediction mechanisms, and media sociology. She has received prestigious fellowships from institutions like the ERC, Wissenschaftskolleg Berlin, and Columbia University. PhD in Sociology (1990, University of Bielefeld) Habilitation (2001, University of Bielefeld) National Scientific Qualification (2013, Italy) Degree in Philosophy (1987, University of Bologna, summa cum laude) Degree in Sociology (1983, University of Bologna, summa cum laude) Esposito's research spans algorithmic prediction, artificial communication, digital media, and systems theory. Her work examines how algorithms shape social intelligence in insurance, medicine, and policing, the paradoxes of contingency in financial markets, and the societal implications of virtuality. She connects Niklas Luhmann's theoretical frameworks to contemporary issues like AI ethics and pandemic-era social systems. Her recent publications emphasize AI's role in constructing unpredictable futures, the social management of algorithmic opacity, and the transformation of risk perception in digital societies. She has authored 13 books and over 100 peer-reviewed articles, exploring topics from media memory to financial forecasting. ERC Advanced Grant (2018): €2.08M for algorithmic prediction studies Volkswagen Foundation Grant (€1.5M) for U3B project Leverhulme Trust funding for international network on value performances Esposito serves on editorial and advisory boards for journals like Sociologica and organizations including the Weizenbaum Institute. She directs the FAIR project on AI implications and co-leads initiatives like DEMOPE (Democracy under Pressure) and CRC 1567 on Virtual Worlds.

Katharina Kleinen-von Königslöwمشاهده پروفایل

استاد

• Political Communication
• Digital Public Spheres
• Transnational Communication
• +۴ مورد دیگر

Katharina Kleinen-von Königslöw is a Full Professor of Journalism and Communication Studies at the University of Hamburg , focusing on digital communication and sustainability. Since 2018, she serves as Vice Dean for Teaching and Studies at the Faculty of Economics and Social Sciences and leads the Erasmus Mundus Master's program Journalism, Media and Globalisation . Her research spans digital public spheres , transnational communication , and sustainability framing in social media, with a methodological emphasis on quantitative and qualitative empirical methods . Recent publications analyze: Platform governance (Google/YouTube’s role in conspiracy theories) Climate futures framing across countries Right-wing populists’ linking practices Automated content analysis via machine learning She has secured major grants from institutions like Landesforschungsförderung Hamburg and Swiss National Science Foundation , co-leading interdisciplinary projects on security and sustainability. Her work has been cited over 1,600 times on Google Scholar. Her team includes researchers like Dr. Gerret von Nordheim and Dr. Laura Liebig, with collaborations across Europe and North America.

Dominik Kowaldمشاهده پروفایل

دانشگاهی

• Trustworthy AI
• Recommender Systems
• Algorithmic Fairness
• +۳ مورد دیگر

Priv.-Doz. Dr. Dominik Kowald is Research Area Manager of the FAIR AI group at Know Center Research GmbH and Lecturer at Graz University of Technology. His research focuses on transparency, privacy, and fairness aspects of recommender systems, with expertise in differential privacy, popularity bias mitigation, and trustworthy AI evaluation frameworks. He completed his Habilitation in Applied Computer Science in 2024. Research areas include: Differentially-private recommendation algorithms Popularity bias in music recommender systems Long-term fairness dynamics in algorithmic systems Multi-stakeholder recommender evaluation Dr. Kowald has authored over 50 publications and received multiple awards including the Mind-the-Gap Gender and Diversity Award from TU Graz. He serves as Review Editor for Frontiers in Big Data and has secured numerous research grants from FFG and Horizon Europe.

Christof Lammerمشاهده پروفایل

پژوهشگر ارشد

• Economic Anthropology
• China Anthropology
• Political Anthropology
• +۵ مورد دیگر

Christof Lammer is a Research Fellow at the Institute for Society, Knowledge and Politics at the University of Klagenfurt. Previously, he held a postdoc position at the Institute for Technology and Science Studies (AAU) and was a Fellow at the Käte Hamburger Kolleg (Berlin) and the Max Planck Institute for Ethnological Research (Halle). He specializes in political and economic anthropology, Science and Technology Studies (STS), and China studies. His research focuses on state boundaries, food networks, and the intersections of kinship, measurement systems, and value infrastructures in China. Lammer’s 2024 book Performing State Boundaries challenges conventional categorizations of the Chinese state through an ethnographic lens. He co-edited special issues on 'Measuring Kinship' (2021) and 'Infrastructures of Value' (2024), and organizes the DFG-funded 'Anthropology and China(s)' research network. Education: PhD in Cultural and Social Anthropology (University of Vienna, 2018 with highest honors), MA in Sinology (University of Vienna), and extensive fieldwork in China (18+ months). Awards include the prestigious 'Promotion sub auspiciis praesidentis' for doctoral excellence. His work combines ethnography with STS to analyze how metrics, infrastructures, and standards shape social inclusion/exclusion. Recent research explores 'Panda Heritage' conservation and the role of digital welfare in redefining statehood. Lammer advises doctoral candidates on topics like algorithmic fairness and digital welfare systems. Awards include fellowships from the Humboldt University, Max Planck Society, and DFG. He actively contributes to academic networks like CaSt, DGSKA, and LOST.

• Computer Vision
• Image Analysis
• Machine Learning
• +۵ مورد دیگر

Martin Kampel is a Senior Scientist at the Computer Vision department of Technische Universität Wien (E193-01), focusing on interdisciplinary research at the intersection of Visual Computing , Human-Centered Technology , and AI Ethics . His work spans 3D Vision , Image Sequence Analysis , Computer Vision for Cultural Heritage , Ambient Assisted Living , and Visual Surveillance . Current roles: Senior Scientist, Principal Investigator in EU and national projects (e.g., Blindsight, visuAAL, KIIS) Contact: martin.kampel@tuwien.ac.at Research Interests Kampel’s research explores: 3D Acquisition & Reconstruction : Camera calibration, hand-eye tracking, and range data processing. Human Behavior Analysis : Motion tracking, multi-camera networks, and action recognition from 4D point clouds. Assistive Technologies : Depth sensor applications for dementia care, privacy-aware AAL systems, and smart toilet configurations. AI Ethics : Fairness, bias, and transparency in criminal justice systems and algorithmic governance of care. Recent Projects & Publications His work includes: Blindsight : WiFi-based person localization and multimodal data synthesis for behavioral classification. visuAAL : Developing trustworthy AI for dementia care and privacy-preserving depth sensor systems. KIIS : Domain-adaptive data synthesis for supermarket product recognition. Notable publications cover 3D human pose estimation , WiFi CSI analysis , trimodal datasets , and ethical AI frameworks .

Dorothea Küblerمشاهده پروفایل

استاد

• Game theory
• Matching markets
• Behavioral and experimental economics
• +۳ مورد دیگر

Dorothea Kübler is a Professor of Economics at Technische Universität Berlin and Director of the Research Unit 'Market Behavior' at the WZB Berlin Social Science Center . She has held visiting positions at institutions including New York University , Stanford University , and Harvard University . Education : Habilitation (2003) and Dr.rer.pol. (1997) from Humboldt-Universität zu Berlin, Diplom (1992) from Freie Universität Berlin, and studies at University of Pennsylvania (1985-1986). Her research focuses on behavioral and experimental economics , game theory , market design , and education economics . Recent work analyzes hiring algorithms , school/college admissions , and appointment systems , with implications for equity and efficiency. Her publications span journals like Management Science , Journal of Political Economy , and American Economic Review . Themes include gender discrimination , peer effects , and mechanism design . Scientific Awards : 2023: Prize of the Berlin-Brandenburg Academy of Sciences (BBAW) 2020: Schader Prize As a Principal Investigator for projects like 'Market Design by Public Authorities' and 'Contestations of the Liberal Script (SCRIPTS)', she leads interdisciplinary research teams. She also serves on editorial boards of Management Science and Games and Economic Behavior .

• Recommender Systems
• User Modeling
• Personalization
• +۱۱ مورد دیگر

Alan Said is an Associate Professor in the Department of Applied IT at the University of Gothenburg, where he also serves as Head of Education. His research focuses on recommender systems, user modeling, personalization, and the human-centered evaluation of AI technologies. He is actively engaged in promoting responsible, fair, and sustainable AI through interdisciplinary research and community leadership. Research Interests: User Modeling and Personalization Recommender Systems (RecSys) Human-Computer Interaction (HCI) and Human-Centered AI (HCAI) Explainable and Responsible AI Green AI and Environmental Impact of Recommender Systems Reproducibility and Evaluation Methodologies His recent publications reflect a strong trend toward ethical, sustainable, and socially conscious AI, with a focus on fairness in healthcare, environmental cost measurement, and interdisciplinary approaches to recommendation. He contributes extensively to top-tier venues such as ACM RecSys and UMAP. Scientific Awards: ACM Distinguished Speaker Advising and Grants: Alan Said advises students on topics ranging from fairness in AI to human-centered explanations and sustainable recommender systems. He has been involved in organizing workshops and special issues that promote critical reflection and interdisciplinary collaboration in the RecSys community. He has participated in funded research projects, including international collaborations supported by agencies like Vinnova. Labs and Teams: He is a key organizer of the Human-centered AI (HCAI) podcast and has co-organized influential workshops such as BEYOND and INTROSPECTIVES at RecSys, fostering dialogue on the societal and ethical dimensions of AI. His work bridges computer science, psychology, design, and ethics, emphasizing collaboration across disciplines.

Matthias C. Kettemannمشاهده پروفایل

استاد

• Internet Law
• Digitalization Governance
• Artificial Intelligence Regulation
• +۵ مورد دیگر

Matthias C. Kettemann is a full-time Professor of Innovation, Theory and Philosophy of Law at the University of Innsbruck , where he leads the Department of Legal Theory and Future of Law . He also serves as a research programme leader at the Leibniz Institute for Media Research | Hans Bredow Institute in Hamburg, research group leader at the Alexander von Humboldt Institute for Internet and Society in Berlin, and as a research group leader at the Sustainable Computing Lab in Vienna. His academic affiliations extend to associated researcher roles at institutions in Hamburg, Frankfurt am Main, and Graz. Head of Department, University of Innsbruck Research Programme Leader, Leibniz Institute for Media Research Research Group Leader, Humboldt Institute for Internet and Society Board Member, Sustainable Computing Lab Associated Researcher, Research Institute for Social Cohesion Prof. Kettemann’s research focuses on internet law , AI governance , platform regulation , digital constitutionalism , and innovation law . His publications and projects explore normative orders , multinormativity , and cybersecurity in digital spaces. His recent articles address human-in-the-loop AI systems , consumer credit algorithms , and democratic resilience against disinformation . He also investigates legal frameworks for data sovereignty and platform accountability in crisis situations . He has received prestigious scholarships, including the Fulbright and Boas Scholarships , and contributes to academic discourse as Managing Editor of the Mohr/Siebeck series 'Internet und Gesellschaft' , editorial board member of journals like jusIT and Media and Communication Studies , and scientific advisory board member of the European Yearbook on Human Rights . He is actively involved in reviewing for international publishers and academic journals. Prof. Kettemann teaches in German, English, and French, with courses in internet law , innovation law , international law , and legal philosophy since 2008. He supervises theses at bachelor, diploma, doctoral, and post-doctoral levels, emphasizing digital law and innovation frameworks . His third-party funding includes grants from the European Union , Friedrich-Ebert-Stiftung , Google , and Deutsche Telekom .

• Recommender Systems
• Music Information Retrieval
• Data Mining
• +۳ مورد دیگر

Assoc. Prof. Dr. Eva Zangerle is an Associate Professor at the Department of Computer Science, University of Innsbruck. Her research focuses on Recommender Systems, Music Information Retrieval, and Natural Language Processing. She leads projects on hypergraph-based recommendation, emotion-driven music systems, and NLP tasks like authorship analysis. Notable contributions include the PAN workshop series, the EMMA emotion database, and studies on algorithm fairness. Her work integrates machine learning with interdisciplinary applications, such as analyzing lyrical complexity trends and detecting generative AI content. She organizes international workshops like PERSPECTIVES on Recommender Systems Evaluation and contributes to initiatives like the MediaEval challenges. Her research bridges technical innovation with societal impact, addressing ethical AI and user-centric evaluation methodologies. Eva Zangerle is affiliated with the DBIS group and actively publishes in top-tier conferences/journals. Her lab develops open-source tools for music recommendation and text analysis, emphasizing reproducibility and real-world applicability.

Markus Schedlمشاهده پروفایل

استاد

• Recommender Systems
• Information Retrieval
• Algorithmic Fairness
• +۶ مورد دیگر

Markus Schedl is a Full Professor at Johannes Kepler University Linz , Austria, where he leads the Multimedia Mining and Search (MMS) group within the Institute of Computational Perception . He also heads the Human-centered Artificial Intelligence (HCAI) group at the Linz Institute of Technology (LIT) AI Lab . Education: Computer Science (TU Wien), PhD (JKU Linz), Master's in International Business Administration (WU Wien, University of Gothenburg) Research Interests span recommender systems , information retrieval , algorithmic fairness , user modeling , and machine learning . His recent publications focus on: Multimodal and hybrid AI for human-centric personalization Context-aware music recommendation and emotion recognition Graph neural networks for session-based recommendation Technical and regulatory compliance in fair, transparent, and privacy-preserving systems Projects are funded by the Austrian Science Fund (FWF) , Austrian Research Promotion Agency (FFG) , and European Commission (EC) . He maintains industry collaborations with Siemens, Spotify, and Deezer. Teaching includes courses like Introduction to Machine Learning and Social Media Mining and Analysis at JKU, with guest lecturing experiences at Pompeu Fabra, Queen Mary London, and KTH Stockholm. Labs & Teams: MMS group at JKU's Institute of Computational Perception and HCAI group at LIT AI Lab.