جست‌وجوی استاد و پژوهشگر

• Digital Media Effects
• Advertising Research
• Sustainability Communication
• +۳ مورد دیگر

Jörg Matthes is a Full Professor of Communication Science and Vice-Chair at the Department of Communication , University of Vienna, where he directs the Advertising and Media Psychology Research Group (AdMe) . With over 200 journal publications, his research spans digital media effects, advertising, sustainability communication, children's media exposure, terrorism narratives, and empirical methods. He has held visiting professorships at the University of Sydney and Ohio State University. Key Research Areas: Digital Hate, Political Microtargeting, Greenwashing, Cyberbullying, and Methodological Innovations. International Leadership: Editor-in-Chief of Communication Theory (2023-27), former Editor of Communication Methods & Measures (2016-20), and member of 15+ editorial boards. Scientific Recognition includes the ERC Advanced Grant (2022), ICA Fellow (2021), AEJMC Hillier Krieghbaum Under 40 Award (2016), and ICA Young Scholar Award (2014). His work on political advertising, digital hate, and media effects has earned multiple top paper awards at ICA, AEJMC, and ICORIA. Editorial and Service Contributions: Led Communication Methods & Measures to #1 ranking in SSCI during 2016-2020. Served as Chair (2014-2022) and Vice-Chair (2012-2014, 2022-present) of the University of Vienna's Communication Department, elevating it to top 30 globally. Advises on quality assessment for higher education institutions in the Netherlands, Czech Republic, Lithuania, Bulgaria, and China.

• Algorithmic Bias
• AI Ethics
• Web Science
• +۶ مورد دیگر

Katharina Kinder-Kurlanda serves as Professor at Alpen-Adria-Universität Klagenfurt (AAU), affiliated with the Institute for Educational Science and Educational Research and the Digital Age Research Center (D!ARC). Her work bridges digital humanities, educational science, and critical technology studies, focusing on the societal implications of algorithmic systems and data practices within European contexts. Her research centers on Algorithmic Bias detection in AI systems, particularly large language models, and develops frameworks for Fairness in Machine Learning through ethnographic interventions. She investigates Privacy and Data Protection challenges in social media research, explores Open Science opportunities for researcher-subject relationships, and contributes to European AI Regulation through interdisciplinary perspectives on value alignment. Her methodology emphasizes sociotechnical approaches that uncover power dynamics in datafication processes and algorithmic governance. Recent publications reveal consistent focus on bias quantification in language models (2025), ethnographic fairness interventions in machine learning (2024), and European value alignment in AI regulation (2022). Her work demonstrates increasing engagement with Web Science conference leadership and methodological innovations in data studies, while maintaining critical attention to ethical dimensions across all research domains. She leads significant research initiatives including the Marie Skłodowska Curie Innovative Training Network NoBIAS: Artificial Intelligence without Bias (2020-2024) and the Center for Advanced Internet Studies (CAIS) project on Open Science: New Opportunities for the Relationship between Researchers and Researched Subjects? (2020-2021). Her grant portfolio reflects strategic focus on interdisciplinary training networks and ethical framework development for emerging data practices. As core faculty at D!ARC, she contributes to Klagenfurt's interdisciplinary hub for digital transformation research, collaborating across computer science, social sciences, and humanities to address contemporary challenges in algorithmic societies through team-based projects and methodological innovation.

Julia Neidhardtمشاهده پروفایل

استادیار

• Recommender Systems
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Julia Neidhardt is a faculty member at TU Wien's Research Area E-Commerce, focusing on recommender systems, machine learning, and digital humanism. Her work explores diversity-aware algorithms, sentiment analysis, and tourism recommendation systems. University: TU Wien (Vienna University of Technology) Department: Research Area E-Commerce Her research integrates machine learning , sentiment analysis , and diversity metrics to address bias in news recommendation systems, tourism profiling, and semantic network dynamics. Recent publications highlight collaborations on LLMs , meta-analysis , and emotion detection . Julia co-organizes the Recommenders in Tourism (RecTour) workshop series and contributes to theses in areas like group fairness , museum visitor path prediction , and accommodation recommendations .

• Machine Learning
• Computer Vision
• Trustworthy AI
• +۵ مورد دیگر

Christoph Lampert is a Professor at the Institute of Science and Technology Austria (ISTA), where he leads the Machine Learning and Computer Vision research group. His primary affiliations are with ISTA, though no specific school or department is explicitly mentioned in available sources. His research spans machine learning fundamentals, computer vision, and emerging areas of trustworthy AI including privacy, fairness, robustness, and federated learning systems. Lampert's recent work demonstrates strong focus on theoretical and applied aspects of differential privacy, neural collapse phenomena, federated learning architectures, and verification methods for neural networks. His group consistently publishes at top venues like NeurIPS, ICML, and ICLR, with recent explorations in privacy-preserving ML, multi-task learning theory, and hardware-algorithm co-design. He has received significant recognition including the 2025 DARPA Disruptive Ideas award and ELLIS Fellowship. As ELLIS Unit Director at ISTA, he coordinates pan-European AI research initiatives. His editorial contributions include leadership roles at Journal of Machine Learning Research and IEEE TPAMI . Lampert actively advises graduate researchers, with recent PhD graduates including Bernd Prach (robust image classification) and Alex Peste (robustness/fairness). Current research groups explore federated learning, neural verification, and privacy-preserving algorithms.

• Machine Learning
• Image Processing
• Pattern Recognition
• +۱ مورد دیگر

Muntaha Sakeena is a Junior Researcher in the Media Computing Research Group at the Institute of Creative\Media/Technologies, Department of Media and Digital Technologies, St. Pölten University of Applied Sciences (FHSTP) in Austria. She has held this position since 2017 and is currently on leave. Her educational background includes a Master's in Computer Engineering from NUST, Pakistan (2016) and a Bachelor's in Computer System Engineering from NFCIET, Pakistan (2012). Her research focuses on machine learning, image processing, pattern recognition, and computer vision applications across diverse domains including real estate analysis, environmental monitoring, medical imaging, and cybersecurity. She has contributed to projects such as: IMREA (Intelligent Multimodal Real Estate Assessment) Active deep learning for object detection Scribe ID AI InfraBase (Automatic Building Footprint Segmentation) ImmoAge (Visual Age Prediction of Real Estate) Her publications demonstrate consistent focus on computer vision applications, with recent work expanding into digital heritage preservation and environmental disaster response. Research trends show progression from medical imaging (2017-2018) toward geospatial and architectural analysis (2019-2023), utilizing deep learning methods like CNNs and level sets.

• Digital Well-being
• Social Media Impact
• Renewable Energy Communities
• +۲ مورد دیگر

Michael Wölk serves as a Research Associate at the Institute of Marketing within the Faculty of Business at the University of Applied Sciences Wiener Neustadt (FHWN), based at the Wieselburg Campus. His research bridges digital behavior analysis and sustainable energy systems through interdisciplinary projects. His primary research interests focus on digital well-being dynamics , particularly examining how parental social media usage impacts children's digital habits, and renewable energy community development , where he investigates integration of photovoltaic systems, battery storage, and electric vehicle charging infrastructure. His work combines consumer science methodologies with behavioral psychology frameworks to address real-world sustainability challenges. Wölk's recent publications reveal strong thematic clustering in two domains: 1) digital ethics interventions targeting hate speech mitigation through behavioral nudges, and 2) practical implementation barriers in community energy projects. His research consistently emphasizes evidence-based solutions for complex socio-technical systems. His active research initiatives include the DigiWell project analyzing parental digital influence and the NETSE project developing communication interfaces for energy communities. Wölk frequently presents findings at academic conferences and contributes to public discourse through media engagements on energy community challenges.

• Organizational Change
• Sustainability
• Diversity and Inclusion
• +۴ مورد دیگر

Dr. Laura Dobusch is a researcher and educator at the Institute for Change Management and Management Development at Vienna University of Economics and Business since 2024. Her work bridges organizational behavior, sustainability, and critical diversity studies, focusing on inclusion-exclusion dynamics and cross-sector collaborations. Bachelor in Sociology (University of Vienna) Master in Gender Studies (University of Vienna) Diploma in International Development (University of Vienna) PhD at Technical University of Munich Her research explores: Interactions between inclusivity and sustainability in organizational contexts Unintended consequences of diversity initiatives Role of cross-sector collaborations in addressing global crises like climate change Boundary work in low-wage service sectors Relational perspectives on inclusion-exclusion mechanisms Recent publications emphasize open strategy, digital inclusion, and hybrid organizational models. She holds a doctoral scholarship from the Max Planck Institute and contributes to journals Organization and Journal of Diversity Research and Management .

Jurgen Willemsمشاهده پروفایل

استاد

• Public Management
• Nonprofit Governance
• Behavioral Public Administration
• +۹ مورد دیگر

Jurgen Willems is a Professor for Public Management and Governance at the Vienna University of Economics and Business (WU Wien) , focusing on citizen-state interactions, bureaucratic reputation theory, and network governance. His research bridges public administration, nonprofit management, and digital transformation. Education: Economics and Operations & Technology Management at Ghent University; Quantitative Analysis for Social Sciences at University of Leuven PhD: Free University of Brussels (VUB) on nonprofit governance Habilitation: University of Hamburg Key research areas include civic engagement , behavioral public administration , and AI ethics in governance . His 2025 articles emphasize nonprofit leadership dynamics , generative AI in policing , and intersectional approaches to poverty alleviation . Scientific Awards : Finalist for Best Paper Award (2024) Outstanding Reviewer Award (2023) VHB WKÖ Best Paper Award (2022) Emerald/EFMD Highly Commended Award (2012) Recent projects analyze volunteer-staff collaboration (2023–2027), episodic citizenship , and open data-driven public services . His work integrates behavioral insights and technological ethics across nonprofit and public sector contexts.

Martin Reisiglمشاهده پروفایل

دانشیار

• Applied Linguistics
• Critical Discourse Analysis
• Sociolinguistics
• +۱۰ مورد دیگر

Martin Reisigl serves as Associate Professor in the Department of Linguistics at the University of Vienna's Faculty of Philology and Cultural Studies. His academic profile shows active engagement in teaching courses including Introduction to Pragmatics, Text Linguistics and Discourse Analysis, Introduction to Sociolinguistics, and Introduction to Language Policy for both the 2025 winter and summer semesters. His research spans multiple interdisciplinary domains with a strong focus on critical approaches to language and society. Reisigl's research interests form a rich tapestry of linguistic inquiry centered on Applied Linguistics with particular emphasis on Critical Discourse Analysis . His work explores the intersections of language with power structures, examining sociolinguistic phenomena, discourse practices, and pragmatic functions across various contexts. He investigates how language operates in political communication, medical settings, environmental discourse, and gender relations. His theoretical framework draws extensively from semiotics, particularly Peirce's sign theory, and integrates perspectives from political linguistics, ecolinguistics, and argumentation theory. A significant portion of his recent work focuses on climate change discourse, analyzing how narratives, storytelling, and linguistic framing shape public understanding of the climate crisis. His scholarship consistently addresses issues of discrimination, examining manifestations of racism, nationalism, populism, and gender-based discrimination through linguistic analysis. Analysis of Reisigl's recent publications reveals a strong trajectory toward examining contemporary sociopolitical issues through linguistic lenses. His work demonstrates increasing focus on climate discourse, where he critically examines narrative frameworks and their implications for public understanding of environmental crises. Simultaneously, he maintains rigorous engagement with right-wing populism, analyzing ambivalent discursive strategies particularly regarding gender relations. His scholarship shows integration of computational approaches to discourse analysis, as seen in his work on AI applications for detecting hate speech. The publications consistently employ the Discourse-Historical Approach, reflecting his methodological commitment to understanding language in its social and historical contexts. Reisigl actively contributes to academic discourse through numerous invited lectures at international institutions, addressing topics ranging from climate communication to critical discourse analysis methodology. His work bridges theoretical linguistic inquiry with practical applications for social understanding and intervention, maintaining a consistent critical perspective on language-power relationships across diverse contexts.

• Stochastic Optimization
• Minimax Problems
• Convergence Analysis
• +۳ مورد دیگر

Axel Böhm is a researcher at the Department of Mathematics, Faculty of Mathematics, actively contributing to fields such as Stochastic Optimization , Minimax Problems , and Convergence Analysis . His work intersects Operator Theory , Machine Learning , and Data Science , with a focus on algorithm design and computational methods. Research and Publications Published 8 articles (2019–2024) on topics like Nonconvex-Concave Minimax Optimization , GAN Training using Tseng's method, and Variational Inequality Algorithms . Key subfields include Implicit Bias in Momentum Methods , Adaptive Step Sizes , Critical Point Analysis , and Weak Minty Solutions . Projects The implicit bias of momentum and adaptive step sizes (2024–2027, active). Vienna Graduate School on Computational Optimization (2016–2020, completed). Scientific Collaborations Axel collaborates with institutions and researchers in Austria and internationally. His recent work (2022–2024) involves applications in Machine Learning and Optimization Algorithms .

Annie Waldherrمشاهده پروفایل

استاد

• Computational Social Science
• Digitized Publics
• Political Communication
• +۳ مورد دیگر

Prof. Annie Waldherr is a University Professor of Computational Communication Science at the University of Vienna's Institute of Journalism and Communication Studies (since September 2020). She previously held roles including Junior Professor at the University of Münster (2017–2020) and Research Associate positions at the Free University of Berlin (2010–2016) and University of Hohenheim (2006–2010). Her research focuses on computational social science, digitized publics, and political communication, leveraging agent-based modeling and network analysis. Education: PhD in Communication Studies (Free University of Berlin, 2011) MSc/BA in Communication Studies (University of Hohenheim and University of Oregon, 2005) Research Interests: Prof. Waldherr explores how digitized public spheres function across translocal networks, integrating computational methods like text mining, social network analysis, and agent-based simulations. Recent work addresses misinformation dynamics, spatial dimensions of online communication, and the ethical challenges of big data. Grants & Projects: DFG-funded 'Translocal Networks: Public Spheres in the Social Web' (2018–2021) analyzing Berlin and Jerusalem Twitter networks Scientific evaluation of Germany's Federal Government's Quality of Life Dialogues (2015–2016) Research Training Group 'Trust and Communication in a Digitalized World' (2012–2021) Labs/Teams: Leads the Computational Communication Science Lab at the University of Vienna, focusing on digital public sphere analysis, misinformation studies, and computational methodologies.

Elisabeth Lexمشاهده پروفایل

دانشیار

• Recommender Systems
• User Modeling
• Information Retrieval
• +۳ مورد دیگر

Assoc. Prof. Dr. Elisabeth Lex is a tenured Associate Professor at Graz University of Technology (TUG) and PI of the Recommender Systems and Social Computing Lab. She serves as Dean of Study for the master's program in Computational Social Systems. With a habilitation in Applied Computer Science, her research focuses on psychology-informed recommender systems, user modeling, and computational social science. She has published over 100 articles in venues like WebConf, HT, and RecSys, and led major projects like the trans-university 'Polarization in Public Opinion.' Education : PhD in Computer Science (2011), TU Graz Postdoc at Universidad Nacional de San Luis (Argentina) and RWTH Aachen (Germany) Research Interests : Her work integrates cognitive science principles into AI systems, addressing fairness, privacy, and transparency in recommendations. She explores how human behavior and social dynamics influence algorithmic systems, with applications in music recommendation, misinformation detection, and polarization analysis. Article Trends : Recent work emphasizes trustworthy AI, including privacy-aware recommendation systems (e.g., differential privacy), bias mitigation in music recommendations, and computational framing analysis for political narratives. She bridges technical innovation with societal impacts, such as analyzing polarization in public health policies via social media. Scientific Awards & Grants : Outstanding Paper Award (ISSI 2015) EU H2020 grants (TRIPLE, AI4EU, OpenUP) Transuniversity Research Project on Polarization (€325k funding) Advising & Labs : Supervised over 20 PhD/Master students on topics like conspiracy narratives, privacy in recommendations, and job recommendation systems. Her lab develops open-source frameworks (e.g., TagRec, AFEL-REC) and collaborates with industry partners through the Know-Center. Labs/Teams : Leads the Recommender Systems and Social Computing Lab at TUG, part of the interdisciplinary Social Computing area at the Know-Center. Collaborates with global initiatives like OpenAire and Open Knowledge Maps.

• Artificial Intelligence
• Robotics
• Systems Engineering
• +۳ مورد دیگر

Peter Pavel Arthur Petráš is a Tutor at the Institute for Intelligent System Technologies within the Faculty of Technical Sciences at the University of Klagenfurt. His research focuses on interdisciplinary applications of artificial intelligence, robotics, and systems engineering, with contributions to fields like swarmalator dynamics, automated systems design, and media literacy in digital environments. He is actively engaged in collaborative projects involving industry partners such as Infineon Technologies Austria AG and the Austrian Research Promotion Agency (FFG), emphasizing practical innovations in technology and education. While not listed as a project head, his role supports cutting-edge research in areas like radar simulation frameworks, garment sorting automation, and multi-agent localization systems. His work bridges theoretical advancements with real-world implementation, particularly in edge-cloud computing and interdisciplinary methodological innovations. Recent publications highlight his expertise in AI-driven solutions, robotics, and the societal implications of digital media. Notable themes include analyzing online political microtargeting avoidance, improving multi-robot exploration algorithms, and exploring poetry workshops in migration research. His contributions align with the University of Klagenfurt’s focus on fostering innovation through its Third Mission initiatives, emphasizing knowledge transfer to regional industries and public sectors. Petráš collaborates on projects addressing societal challenges, such as promoting media literacy through the #NoFakeFacts! Citizen Science initiative and enhancing wind turbine blade inspection via multimedia drones. His work reflects a commitment to both technical innovation and addressing ethical and educational dimensions of emerging technologies.

• Clinical Psychology
• Psychotherapy
• Mental Health
• +۳ مورد دیگر

Herwig Oberlerchner is a Researcher in the Department of Clinical Psychology, Psychotherapy, and Psychoanalysis at Alpen-Adria-Universität Klagenfurt (AAU). His work bridges clinical psychology with interdisciplinary research areas, including media literacy and technology-driven behavioral studies. He contributes to projects like the #NoFakeFacts citizen science initiative promoting media literacy among youth. His research spans clinical psychology, digital communication, and interdisciplinary methodologies, with recent publications exploring political microtargeting avoidance, swarm robotics dynamics, and sustainable business ecosystems. He collaborates on EU-funded initiatives and maintains an active presence in academic publishing, focusing on both theoretical and applied research. Contact: Herwig.Oberlerchner@aau.at | +43 650 5531288. Research Interests Clinical psychology practices and psychotherapeutic methodologies Impact of digital technologies on mental health and societal behavior Interdisciplinary research methods (e.g., poetry workshops in migration studies) Education and training in clinical settings Recent Research Trends His 2025 publications emphasize cross-disciplinary themes: (1) political communication and digital behavior, (2) robotics and swarm systems, and (3) sustainable business models. He often collaborates across faculties (e.g., technical sciences, humanities) to address complex societal challenges. Grants & Projects Co-investigator on Erasmus+ projects and FFG-funded robotics initiatives Contributor to EU-funded media literacy programs (e.g., #NoFakeFacts) Active in university-industry partnerships (e.g., Infineon Technologies collaboration) Labs/Teams Participates in AAU’s clinical psychology research teams and interdisciplinary working groups focused on technology ethics and education innovation.

• Speech technology
• Phonology
• Language processing
• +۴ مورد دیگر

Janet Pierrehumbert is a Professor of Language Modelling at the Oxford e-Research Centre (part of the Department of Engineering Science, University of Oxford). She holds a courtesy appointment in the Faculty of Linguistics, Philology and Phonetics and is an Associate Member of the Oxford-Man Institute of Quantitative Finance. Previously, she served as a Professor at Northwestern University (1993–2015), where she held leadership roles including department chair and director of graduate studies. Her interdisciplinary research spans experimental and computational linguistics, focusing on phonology, morphology, and computational linguistics. She is a Fellow of the American Academy of Arts and Sciences, the Cognitive Science Society, and the Linguistic Society of America, and a member of the National Academy of Sciences (USA). Education: BA in Linguistics and Mathematics (Harvard University); PhD in Linguistics (MIT). Research Interests: Pierrehumbert’s work integrates computational methods with linguistic theory to explore sound change, morphological processing, and language modeling. Her studies often address how statistical patterns in speech and lexicons influence phonological cognition. Recent projects include improving NLP models (e.g., BERT) through linguistic insights and developing benchmarks for hate-speech detection algorithms. Publications: Her work spans decades, with notable contributions to computational linguistics, phonology, and sociolinguistics. Recent articles highlight advancements in NLP ethics, morphological theory, and sound change mechanisms. Earlier foundational studies include pioneering work on Japanese tone structure and intonational pragmatics. Awards & Memberships: Her honors include the ISCA Medal for Scientific Achievement (2020) and Guggenheim Fellowship (1996). She co-founded the Association for Laboratory Phonology and is active in interdisciplinary initiatives like the Northwestern Institute on Complex Systems. Labs & Teams: Her research group at Oxford focuses on robust language technology and theoretical linguistics. She collaborates across disciplines, bridging computational and experimental approaches to language science.