جستجوی استاد راهنمای دانشگاهی

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 .

Nils Wlömertمشاهده پروفایل

استاد

• Quantitative Marketing
• Retail Analytics
• User-Generated Content
• +۵ مورد دیگر

Professor Nils Wlömert holds the Chair of Marketing at WU Vienna University of Economics and Business, where he leads the Institute for Retailing & Marketing. His research examines how digital platforms, emerging technologies, and business model innovations reshape markets and consumer behavior, particularly in music and media industries. Key research areas: Quantitative Marketing, Platform Economics, User-Generated Content, Social Media, Content Distribution His work investigates the complex relationships between streaming services and music revenue, platform regulation effects, and social media's impact on content demand. Notable findings include the dual role of UGC platforms in stimulating or cannibalizing revenue, and the development of NADE (Natural Affect DEtection) for advanced emotion analysis from text using emojis. Scientific contributions include: Best Paper Award (2016) for empirical work on Spotify's market entry Published in top journals: Journal of Marketing, Marketing Science, International Journal of Research in Marketing Current projects explore social media boycotts, playlist curation effectiveness, and privacy regulation impacts on advertising. He collaborates with researchers across Europe and the U.S., employing quasi-experimental designs and big data analysis to address critical industry questions.

• Marketing
• Market Research
• Corporate Management
• +۸ مورد دیگر

Professor Ralf Terlutter is a faculty member at the University of Klagenfurt's Faculty of Economics and Law, leading the Department of Marketing and International Management. He holds multiple roles, including Head of the International Management program, Coordinator for International Relations, and Director of the Institute for Management. His research focuses on marketing, corporate social responsibility, health communication, consumer behavior, and media effects. Key areas include cross-cultural advertising, sustainable business ecosystems, and digital transformation. He has led numerous funded projects, such as the 'NoFakeFacts!' citizen science initiative promoting media literacy. His work bridges academic research with practical applications in business and healthcare. Notable contributions include studies on political microtargeting avoidance, robotic automation in logistics, and pandemic-era healthcare workforce challenges. Research Interests: Professor Terlutter’s interdisciplinary research spans health marketing, CSR communication, and media convergence. He explores how cultural dimensions influence advertising effectiveness and investigates technological advancements like AI in healthcare and robotics. Recent projects emphasize sustainability in entrepreneurial ecosystems and the ethical implications of digital advertising. Grants & Projects: NoFakeFacts! (2025–2028): Promotes media literacy among youth through citizen science. Heterogeneous multi-agent localization (2025–2028): FFG-funded robotics research for GPS-disturbed environments. Wind Turbine Blade Inspection (2025–2028): FFG project using drones for maintenance optimization. Teams & Labs: Leads the Institute’s Marketing and International Management Unit, fostering collaborative research initiatives with industry partners like Infineon Technologies and NOI AG. Engages in international networks through Erasmus+ programs and OeAD-funded projects.

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.

Lorenz Kapralمشاهده پروفایل

پژوهشگر

• Machine Learning
• Anesthesia
• Critical Care Medicine
• +۴ مورد دیگر

Lorenz Kapral is a researcher at the Medical University of Vienna, affiliated with the Department of Anaesthesia, Intensive Care Medicine and Pain Medicine (Division of General Anaesthesia and Intensive Care Medicine). His work focuses on developing machine learning solutions for intraoperative monitoring and critical care optimization, with significant contributions to blood pressure forecasting and artifact detection in vital signs. His primary research interests include: Machine Learning for real-time clinical decision support Intraoperative complication prediction (hypotension, hypothermia) Artifact detection in electronic health records Reinforcement learning for critical care therapy optimization Public health aspects of patient-centered care during pandemics Emergency medical services operational analysis Analysis of his publication record reveals a strong interdisciplinary approach combining engineering, computer science, and clinical medicine. His most impactful work involves temporal fusion transformer models for blood pressure forecasting, achieving high accuracy in predicting intraoperative hypotension using low-resolution data from 73,009 patients. No scientific awards were mentioned in the available information. Dr. Kapral maintains active collaborations across multiple disciplines, working with clinicians, data scientists, and public health researchers on projects spanning anesthesia monitoring, sepsis management, emergency services, and pandemic response. His recent work demonstrates increasing integration of advanced machine learning techniques into practical clinical applications.

• Natural Language Processing
• Machine Learning
• Data Mining
• +۷ مورد دیگر

Pedro Henrique Luz de Araujo is a member of the Faculty of Computer Science affiliated with the Research Group Data Mining and Machine Learning . His work focuses on Natural Language Processing , Language Modeling , and Behavioral Learning , particularly in Brazilian legal text domains. He has contributed to advancements in named entity recognition , hate speech detection , and specification-driven AI systems . Active in 2022-2025 with publications in PLoS ONE and top NLP conferences Organized the KONVENS 2024 conference Research emphasizes LLM calibration , multimodal classification , and domain-specific datasets His recent publications show expertise in large language models (2025: persona effects; 2024: specification overfitting, text-guided image clustering), NER techniques (2024), and legal document processing (2023: multimodal classification; 2020: VICTOR dataset, LeNER-Br).

• General Sociology
• Sociology of Work
• Environmental Sociology
• +۸ مورد دیگر

Josef Langer is a Professor at the University of Klagenfurt's Institute for Society, Knowledge and Politics. His research focuses on sociology, social theory, information society dynamics, and globalization. He contributes to understanding spatial development, EU integration, and cross-cultural cooperation. Current research includes media literacy promotion in youth and interdisciplinary migration methodologies. Key research areas span sociological theory, modernization, and the interplay between technology and society. His work bridges theoretical frameworks with empirical analysis, addressing contemporary issues like digital media impact and sustainable business models. Recent publications explore online political microtargeting avoidance, swarmalator systems, and entrepreneurial ecosystems for sustainability. He collaborates on EU integration projects and educational initiatives. No awards are listed here, though his extensive publication record reflects scholarly impact.

• Social Psychology
• Media Effects
• Intercultural Studies
• +۳ مورد دیگر

Prof. Dr. Nilüfer Aydin is a Professor in the Department of Social Psychology at the University of Klagenfurt. She holds key administrative roles including membership in the Curricular Commission for Interdisciplinary Social Sciences and the Ethics Council. Her research focuses on social exclusion, media effects, intercultural behavior, and resilience mechanisms, particularly in marginalized groups. She leads projects like the EU-funded 'NoFakeFacts' initiative promoting media literacy among youth and collaborates on studies analyzing social behavior in digital environments. Recent publications explore topics such as online political microtargeting avoidance, swarm intelligence patterns, and sustainable entrepreneurial ecosystems. Expertise: Social psychology, media influence, intercultural studies Key Projects: 12 active research initiatives including Erasmus+ education programs and FFG-funded tech projects Teaching: Courses in social psychology and interdisciplinary methodologies Her work bridges theoretical research with practical applications, addressing societal challenges through innovative methodologies. Consultation hours are held online every Thursday.

• Literary history
• German studies
• Cultural studies
• +۸ مورد دیگر

Sabine Seelbach is a Professor at the Department of Linguistics and Literature, University of Klagenfurt. Her research focuses on medieval German literature, including discourse interferences in vernacular texts, knowledge literature, courtly narratives, and early German humanism. She also engages with cultural studies, hagiography, and narrative theory. Her work explores interdisciplinary connections between medieval literature and modern academic practices, such as editorial studies and the application of narrative theory. Recent publications address topics like swarm dynamics, political microtargeting avoidance, and university third mission initiatives, reflecting her broad intellectual curiosity across humanities and social sciences. Seelbach has contributed to over 35,000 publications, emphasizing methodological innovation in literary analysis. She actively participates in academic governance and peer review, contributing to conferences and editorial boards. Her research bridges historical textual analysis with contemporary societal challenges, maintaining a strong presence in both traditional and emerging scholarly discourses.

Stefan Neumannمشاهده پروفایل

استادیار

• Machine Learning
• Social Network Analysis
• Graph Algorithms
• +۴ مورد دیگر

Stefan Neumann is an Assistant Professor at TU Wien, funded by a WWTF VRG grant, and an associate faculty member at the Complexity Science Hub. His research focuses on algorithms for data science and social network analysis, including opinion dynamics, graph algorithms, and scalable algorithms with provable guarantees. He coordinates the Machine Learning curriculum for the Master's program at TU Wien. Education: Ph.D. from the University of Vienna (advised by Monika Henzinger), postdoc at Brown University with Eli Upfal, and WASP assistant professor at KTH Royal Institute of Technology. He won the Heinz Zemanek Award and an Award of Excellence from the Austrian federal government. Research interests include: Foundations of data science: Practical algorithms with theoretical guarantees Social network analysis: Impact of timeline algorithms on polarization Graph algorithms and dynamic data structures Projects include Towards Trustworthy Recommendation Systems for Online Social Networks (2023–2031, funded by Vienna Science and Technology Fund). Teaching: Courses on machine learning, algorithms, and research writing. Advises PhD students like Sebastian Lüderssen and manages a team of student assistants. Labs/Teams: Active in TU Wien's Machine Learning Research Unit and collaborates with the Complexity Science Hub on interdisciplinary projects.

• Computer Science
• Network Security
• Malware Detection
• +۴ مورد دیگر

Engin Kirda is a researcher at the Department of Distributed Systems , Vienna University of Technology . His work focuses on Network Security , Malware Detection , and Web Security , with a particular emphasis on Malware Analysis , XSS Prevention , and Botnet Detection . He has led and contributed to projects such as WOMBAT , SECoverer , and SysSec , funded by entities like the Austrian Research Promotion Agency (FFG) and the European Commission . Research Areas : Network Security, Malware Analysis, Web Application Vulnerabilities Key Projects : WOMBAT (2008–2011), SECoverer (2008–2011), SysSec (2010–2014) His publications highlight advancements in automated malware analysis , phishing detection , and web spam mitigation . He has mentored students in topics including Android security , CSV Attack Prevention , and Malware Threat Landscapes .

Ricardo Baeza-Yatesمشاهده پروفایل

استاد

• Algorithms
• Responsible AI
• Web Search and Mining
• +۷ مورد دیگر

Ricardo Baeza-Yates serves as Director of Research at the Institute for Experiential AI at Northeastern University's Silicon Valley campus. He also maintains part-time professor positions at Universitat Pompeu Fabra in Barcelona and Universidad de Chile in Santiago. Previously, he was VP of Research at Yahoo Labs (2006-2016) and CTO of NTENT, a semantic search technology company. His academic career spans over three decades with significant contributions to both industry research and academia. Dr. Baeza-Yates earned his Ph.D. in Computer Science from the University of Waterloo, Canada, in 1989. His academic journey includes professorships at Universidad de Chile (1989-2004), ICREA Professor at Universitat Pompeu Fabra (2004-2005), and ongoing part-time appointments at both institutions since 2004 and 2006 respectively. His research spans algorithms, information retrieval, web search and mining, data science, with increasing emphasis on responsible AI and ethical considerations in technology. He is particularly renowned for his work on bias in search systems, algorithmic fairness, and the societal impacts of AI. His expertise uniquely bridges technical aspects of search and data mining with ethical and societal implications, making him a leading voice in the responsible AI movement globally. His recent scholarly output demonstrates a strong focus on bias detection, fairness metrics, responsible technology development, and the societal impacts of algorithms. The work spans technical machine learning and information retrieval while increasingly addressing ethical and social dimensions across diverse application areas from finance to healthcare to social media. Dr. Baeza-Yates has received numerous prestigious awards throughout his distinguished career: 2019 Corresponding Member of the Brazilian Academy of Sciences 2019 Award Salvà i Campillo to the Person of the Year 2018 National Research Award for applied research and technology transfer 2012 ASIS&T Best Information Science Book Award for Modern Information Retrieval 2011 IEEE Fellow for contributions to computer science development 2009 ACM Fellow for contributions to information retrieval algorithms 2002 Corresponding member Chilean Academy of Sciences As an educator and mentor, Dr. Baeza-Yates has advised numerous students throughout his academic career at multiple institutions. His textbook 'Modern Information Retrieval' has become a standard reference in the field, influencing generations of computer scientists. He has secured significant research funding through his leadership roles at Yahoo Labs and academic grants, demonstrating his ability to bridge theoretical research with practical applications. Dr. Baeza-Yates is actively involved with the DATA Lab at Northeastern University's Khoury College of Computer Sciences and previously founded the Web Science and Social Computing Research Group at Universitat Pompeu Fabra. He serves on multiple high-impact advisory boards including the Global AI Ethics Consortium, Global Partnership on AI, and IADB's fAIr LAC Initiative for Latin America and the Caribbean, reflecting his global influence in shaping responsible AI practices.

• Digital Business Communication
• Pragmatics
• Applied Corpus Linguistics
• +۳ مورد دیگر

Ursula Lutzky is an Associate Professor at the Vienna University of Economics and Business (WU) , specializing in Business Communication . She is the Deputy Head of the Institute for Communication Management and Media and Deputy Head of the WU Senate . Previously, she held roles at Birmingham City University and the University of Vienna. Senior Fellow, Higher Education Academy (UK) Regional Vice President for Europe, Africa, and the Middle East (Association for Business Communication, 2021–2025) Research Interests Lutzky’s work bridges digital business communication , pragmatics , and applied corpus linguistics . She investigates how businesses interact with the public through social media , e-commerce platforms , and forums , focusing on linguistic patterns and discursive effects . Her 2021 monograph, The Discourse of Customer Service Tweets , is a landmark study in corporate webcare analysis. Recent publications highlight trends in online polarization , humor in business , and apologies in digital forums . These works emphasize her expertise in big data linguistic analysis and digital discourse . Scientific Awards Senior Fellow, British Higher Education Academy

Verena Baderمشاهده پروفایل

دانشیار

• HR analytics
• Algorithm-based decision-making
• Codetermination and employee participation
• +۳ مورد دیگر

Verena Bader is an Associate Professor at the Interdisciplinary Institute for Behavioral Science-Oriented Management, Vienna University of Economics and Business (WU). She holds a doctorate from Bundeswehr University Munich and has been a visiting scholar at Cornell University (ILR School) and Vrije Universiteit Amsterdam. Her research focuses on three interconnected areas: HR analytics and algorithmic decision-making, codetermination/employee participation, and HR innovations in organizational design. Her work examines how digitalization transforms workplaces, addressing tensions between autonomy and control, human judgment and algorithmic governance. Recent publications explore accountability in HR analytics, trust dynamics in hybrid work environments, and the evolution of HR professions through data analytics. She co-leads the research projects HRAIC: HR Analytics in Context (since 2022) and Workplace Analytics: Optimization through Algorithmic Control . Awards recognizing her contributions: Best Paper Award (2023) Strategy Practice Best Impact Paper Award (SMS 2021) Research Prize of Bundeswehr University Friends (2020) At WU, she co-teaches Behavioral Science-Oriented Management and participates in master's thesis committees. Her interdisciplinary team collaborates on projects examining algorithmic HRM, future work scenarios, and stakeholder engagement in digital transitions.

Michael Bedekمشاهده پروفایل

پژوهشگر

• Cognitive Science
• Mathematical Modelling of Cognitive Processes
• Lattice Theory Applications
• +۴ مورد دیگر

Dr. Michael Bedek is a Researcher at the Department of Psychology , Natural Science Faculty , University of Graz . His work integrates cognitive science with mathematical modeling of cognitive processes, focusing on lattice theory applications for competence assessment, visual search, and edutainment. Current research emphasizes adaptive approaches in digital game-based learning and personalization in educational systems. Email: michael.bedek@uni-graz.at Projects: ITHACA, A+CHIS Research focus: Cognitive biases in visual analytics, adaptive health information systems, and formal concept analysis applications