جستجوی استاد راهنمای دانشگاهی

Oliver Grau is a Chair Professor for Image Science and a leading figure in Media Art research, affiliated with Hong Kong Baptist University (Academy of Visual Arts, Distinguished Fellow since 2023) and Danube University Krems (Chair Professor for Image Science from 2005–2022). He founded the Archive for Digital Art (ADA) and the international MediaArtHistories Conference Series , with key roles at institutions across Germany, Austria, and Australia. His work bridges art, science, and technology, focusing on immersive images, digital heritage, and emotion research. Key Positions: Director of ADA (since 2000), Founding Director of MediaArtHistories Conference Series (since 2005), PI for high-resolution digitization of the Goettweig Graphic Print Collection (2005–2017). Research Grants: Funded by DFG, Austrian Science Fund, Australian Research Council, VW Foundation (total 8.3 Mio EUR), and Erasmus+ Joint Master program (5.4 Mio EUR). Research Interests: Grau’s scholarship spans the history of media art, telepresence, artificial life, emotion research, and digital humanities. His work emphasizes the evolution of immersive visual experiences from historical art forms to digital media, integrating theoretical and practical approaches. Article Trends: His recent publications focus on digital art’s sociopolitical dimensions, archiving challenges in the digital era, and cross-disciplinary methodologies. Themes include media art conservation, web-based tools for digital humanities, and the intersection of artistic expression with contemporary global issues like climate change and surveillance. Scientific Awards: Distinguished Fellow at Hong Kong Baptist University (2023) Science Award of Lower Austria (2019) Honorary Doctorate from University of Oradea (2014) Invitations to G-20 summit, Olympic Games, and international symposia Labs & Teams: He leads the Archive for Digital Art, managing a global team of 28 staff, and co-founded the Erasmus+ Joint Master in Media Arts Cultures. His projects emphasize collaborative archiving tools (e.g., Web 2.0/3.0 archives) and large-scale digitization initiatives.

• Image Science
• Digital and Media Art Research
• Art History and its Media
• +۶ مورد دیگر

Wolfgang Nejdl is a Full Professor of Computer Science at Leibniz Universität Hannover since 1995 and the Head of the L3S Research Center since 2001. His research focuses on Web Science, search and information retrieval, semantic web technologies, peer-to-peer infrastructures, databases, technology-enhanced learning, and artificial intelligence. Education: M.Sc. (1984) and Ph.D. (1988) in Computer Science from Vienna University of Technology. Previous Positions: Assistant Professor in Vienna (1988–1992), Associate Professor at RWTH Aachen (1992–1995), and visiting professor/researcher at Xerox PARC, Stanford, University of Illinois at Urbana-Champaign, EPFL Lausanne, and PUC Rio. His research spans foundational and applied Web technologies, including social networks, trust and reputation, Web infrastructure, digital libraries, semantic web, collaborative filtering, and privacy-preserving systems. Recent projects like PHAROS, OKKAM, LiWA, and LivingKnowledge highlight his work in audio-visual search, web entities, web archive management, and diversity bias algorithms. Wolfgang Nejdl published over 230 scientific articles and held leadership roles as General Chair for AH'08 and PC Chair for WWW'09. He co-founded iSearch IT Solutions in 2006 to commercialize digital library and web engineering research from L3S projects. Scientific Awards: Founding member and head of the L3S Research Center The L3S Research Center, with a 2009 budget of €6 million (75% third-party funding), focuses on connecting the Web to real-world entities through research in Web Science, service computing, and security. Funding comes equally from the European Union and national/industry sources.

• Search and information retrieval
• Information systems and databases
• Semantic Web and Web 2.0
• +۴ مورد دیگر

Sareh Aghaei serves as a Research Fellow at the Institute of Management Sciences within the Faculty of Mechanical Engineering and Industrial Management at Vienna University of Technology (TU Wien), focusing on knowledge-driven solutions for industrial maintenance and healthcare systems. Her academic credentials include: Ph.D. in Computer Science from the University of Innsbruck (2023) M.Sc. in Computer Science from the University of Isfahan Dr. Aghaei's research integrates knowledge graphs with natural language processing and machine learning to develop explainable AI systems. Her work spans industrial maintenance optimization, clinical decision support, and tourism information systems, emphasizing ontology engineering and question-answering frameworks that transform unstructured data into actionable knowledge. Analysis of her 2021-2025 publications reveals a strategic shift toward domain-specific knowledge graph applications, particularly in maintenance management (2022-2025) and health informatics (2023-2024). This evolution demonstrates increasing specialization in medical knowledge representation while maintaining foundational contributions to semantic web technologies established in earlier works like her 2011 Web services architecture research. Her scholarly recognition includes: netidee Grant Call 17: Austria's award for most innovative doctoral theses Dr. Aghaei's doctoral research was funded through the netidee scholarship. Current documentation indicates no active student supervision or major grant leadership beyond her postdoctoral position at TU Wien. Within TU Wien's Institute of Management Sciences, she contributes to research bridging production engineering and artificial intelligence, developing knowledge-based systems for predictive maintenance and industrial process optimization through interdisciplinary collaboration.

• Knowledge Graphs
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Bernhard Krüpl-Sypien is an External Lecturer at the Department of Information Systems Engineering , Vienna University of Technology. He has collaborated on multiple research projects focused on web technologies, accessibility, and information extraction. Maintains active affiliation with TU Wien Teaches courses in Information Systems Engineering Collaborates with international institutions Research interests encompass: Web automation and meta-search engines Ontology-driven accessibility models Information extraction from web tables Human-computer interaction design Semantic web integration Assistive technologies for the blind Scientific contributions include: Leading projects funded by Austrian Research Promotion Agency (FFG) Developing frameworks for accessible web navigation Creating meta-search generators for deep web data Advancing semantic annotation techniques Contact: bernhard.kruepl-sypien@tuwien.ac.at

• Web Information Extraction
• Semantic Web Technologies
• Web Accessibility
• +۶ مورد دیگر

Michael Dittenbach is a researcher at TU Wien's Institute of Software Technology and Interactive Systems (E188). He contributes to interdisciplinary work combining machine learning, computer vision, and tourism informatics. His career spans over 15 years of publications in semantic web technologies, data analytics, and 3D virtual environments. Current research focuses on computer vision applications for cultural heritage, tourism recommender systems, and self-organizing map visualization Key projects include Media Square, SOIRE, and Web 3D environments Collaborates extensively with Helmut Berger, Andreas Rauber, and Robert Sablatnig His recent work (2022) explores computer vision techniques for digital library preservation, while earlier studies (2005-2015) focused on tourism informatics, data analytics frameworks, and semantic web applications. Publications demonstrate a consistent trajectory toward integrating machine learning with user-centric digital systems. As part of TU Wien's research infrastructure, he contributes to technical reports, conference proceedings, and multimedia system development without explicit mentions of scientific awards in available records.

• Machine Learning
• Computer Vision
• Data Analytics
• +۱۲ مورد دیگر

Dietmar Nedbal is a Professor at the University of Applied Sciences Steyr, where he works at the Research Center Steyr DBx - Digital Business Institute focusing on Digital Transformation. With an ORCID identifier of 0000-0002-7596-0917, he has established himself as a significant researcher in digital business fields. His research interests span Enterprise 2.0, Cloud Computing, Success Factor Analysis, Cloud Services, Business Process Management, Information Security, and Digital Transformation. Nedbal's work bridges theoretical frameworks with practical business applications, particularly in how digital technologies transform organizational processes and strategies. Nedbal has published 55 scholarly works including conference contributions, journal articles, and book chapters. His research shows a clear trajectory from early work on enterprise social software to contemporary research on cloud services, explainable AI, and information security. His publication "Scenario-Based Requirements Elicitation for User-Centric Explainable AI: A Case in Fraud Detection" (2020) has garnered significant attention with 61 Scopus citations, indicating its impact in the field. Among his notable projects are QSemIDM (Qualification seminar "Industrial Data Manager", 2020-2021), QSemDTM: Digital Transfer Manager (2017), and OptiCloud (2012-2014). These projects reflect his focus on practical digital transformation initiatives with industry applications. Nedbal has supervised 11 students' work and remains active in the academic community with 26 recorded scientific activities including presentations and invited talks. His most recent scheduled activity was "A Model for the Evaluation of User Satisfaction with Recommendation Systems of Entertainment Platforms" in October 2024.

• Enterprise 2.0
• Cloud Computing
• Success Factor Analysis
• +۴ مورد دیگر