جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Healthcare Informatics
• +۶ مورد دیگر

Oliver Krauss serves as an Assistant Professor at FH Upper Austria (University of Applied Sciences Upper Austria) at the Hagenberg Campus. He is affiliated with multiple research centers including the Research Center Hagenberg, Web Intelligence and Innovation Laboratory, AIST Assistive Technology Lab, Center of Excellence Medical Technology/TIMed Center, Center of Excellence for Smart Production, and Digital Media Lab. His work falls under the Strength area ICT - Information & Communication Technology with additional connections to HEAL initiatives. Dr. Krauss's research spans several interconnected domains with a strong focus on practical applications of artificial intelligence. His primary research interests include Healthcare Informatics (particularly HL7 FHIR standards), Language Models and Natural Language Processing, Web Intelligence for user behavior analysis, Assistive Technology applications, and Process Mining for business optimization. His work demonstrates consistent interdisciplinary connections between computer science fundamentals and real-world healthcare and business applications. Analysis of Krauss's recent publications (2023-2025) reveals a clear trajectory toward increasingly sophisticated AI applications. His research has evolved from foundational IoT and sensor data processing toward advanced language model applications in healthcare informatics, e-commerce personalization, and fact-checking systems. A notable pattern is his ability to bridge theoretical AI concepts with practical implementations in medical technology and business intelligence, often incorporating emerging technologies like GPT-3 and other large language models into domain-specific solutions. Dr. Krauss has received significant recognition for his work, including: FH Upper Austria Young Researcher Award (2019 and 2022) HL7 Austria Student Award for Master's Thesis (2015) Best Paper Award at Intelligent Systems and Applications 2022 His research activities include substantial project leadership and collaboration, with notable projects including MARIE (Mobile Robotic Assistance for Office Environments), CRISAM® Loop (AI-based risk management), and EDEN (Emergency Detection for Elevator Networks). He has maintained consistent publication output with 74 publications to date and has been active in scientific communities through conference participation, invited lectures (including on HL7 FHIR topics), and committee work. His h-index of 6 reflects a solid research impact with 110 citations. Dr. Krauss leads research within multiple specialized laboratories including the Web Intelligence and Innovation Laboratory where he applies language models to website visitor segmentation, the AIST Assistive Technology Lab focusing on healthcare applications, and contributes to the Center of Excellence Medical Technology/TIMed Center where his work on patient medical records analysis has significant clinical implications.

Dietmar Nedbalمشاهده پروفایل

استاد

• Enterprise 2.0
• Cloud Computing
• Success Factor Analysis
• +۴ 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.

• Information Retrieval
• Knowledge Graphs
• Natural Language Processing
• +۵ مورد دیگر

Florina Piroi is a Senior Scientist (Research Fellow) at the Center for Research Data Management (E058-06) within the Faculty of Informatics at TU Wien. Her research integrates information retrieval, knowledge graphs, and semantic technologies to advance exploratory search systems and research data infrastructure. Her core research interests include: Information Retrieval evaluation and validation methodologies Knowledge graph applications for domain-specific search Patent text mining and semantic technologies Medical concept normalization and entity linking Argumentative zoning in scientific documents Table extraction and classification systems Analysis of her recent publications reveals strong trends in applying machine learning to specialized IR tasks, particularly in patent analysis and medical text processing. Her work emphasizes robust evaluation frameworks and cross-lingual capabilities, with consistent contributions to the CLEF campaign and PatentSemTech workshops. Dr. Piroi actively collaborates with international researchers through the Network Lab at TU Wien and contributes to the university's Center for Research Data Management, focusing on semantic technologies for research data infrastructure and scholarly communication systems.

• Machine Learning
• Image Processing
• Medical Imaging
• +۳ مورد دیگر

Gerald Adam Zwettler is a researcher at the University of Applied Sciences Upper Austria (FH Hagenberg) with a focus on digital transformation in Information and Communication Technology (ICT). His work spans machine learning applications in non-destructive testing, human-robot interaction, and sensor data classification. Active in projects like FLARE (Human-Centered AI for NDT), MARIE (Mobile Robotic Assistance), and MOVE (Orthosis Modeling) Collaborates internationally on railway infrastructure analysis and medical imaging Research interests include deep learning , medical image processing , IoT sensor analysis , and AI-driven customization of orthopedic devices . Recent work explores edge computing for low-energy IoT systems and multimodal interaction frameworks for office robots. Publications emphasize applied AI in technical domains, with methodological contributions to presegmentation techniques , Levenshtein distance optimization , and human-centered robotics . Project roles include principal investigator in knowledge databases for industrial plastic manufacturing.

Elisabeth Maria Mayrhuberمشاهده پروفایل

پژوهشگر

• Computer Science
• Machine Learning
• Bioinformatics
• +۳ مورد دیگر

Elisabeth Maria Mayrhuber serves as a Researcher at the University of Applied Sciences Upper Austria's Hagenberg campus with dual affiliations: Research Center Hagenberg Bioinformatics AIST Center of Excellence Medical Engineering/TIMed Center Her work operates under the Information & Communications Technology (ICT) focal area, leveraging interdisciplinary approaches at the computer science-engineering interface. Research expertise spans core domains with technical depth: Machine Learning (Semi-supervised Learning, Genetic Programming, Explainable AI) Bioinformatics and medical data systems Process Mining and user behavior analytics Precision Livestock Farming applications Cold-start problem solutions in distributed environments Recent publications (2024-2025) demonstrate methodological innovation through evolutionary computing applied to critical domains: interpretable decision systems for livestock farming, symbolic regression in agricultural contexts, obesity risk modeling using genetic programming, and ontology-enhanced process mining for laboratory workflows. These works consistently address scalability challenges while advancing model interpretability standards. Active within the Research Center Hagenberg Bioinformatics and AIST TIMed Center ecosystems, she contributes to cross-disciplinary initiatives integrating computational methods with medical engineering and agricultural technology development.

• Information Security
• Blockchain Technology
• Distributed Systems
• +۳ مورد دیگر

Lukas König is a Lecturer at the Department of Computer Science & Security at FH St. Pölten , Austria. His research focuses on blockchain technology, information security, and distributed systems. He contributes to both academic research and practical applications in cybersecurity.

• Knowledge Graphs
• Datalog
• Semantic Web
• +۵ مورد دیگر

Aleksandar Pavlovic is a Research Fellow at the Institute of Computer Science within the University of Applied Sciences Wiener Neustadt. His work focuses on knowledge graphs, declarative programming, and AI-enhanced systems for complex reasoning tasks. Primary Affiliation: Institute of Computer Science, University of Applied Sciences Wiener Neustadt Research Interests Knowledge Graph Reasoning and Embedding Datalog-based Semantic Query Systems AI for Production Planning Under Uncertainty Interoperability in Semantic Web Technologies Geometric Interpretation of Knowledge Graphs Neural-Symbolic Integration Recent Publications demonstrate expertise in combining classical logic with machine learning for knowledge graph analysis, SPARQL query optimization, and enterprise knowledge management systems. Key trends include geometric embeddings for knowledge graphs and decentralized AI planning. Projects include: 24/7 Digital : AI-powered care systems with remote support and climate-resilience guidelines (FFG-funded) IntelliProPS : AI-enriched production planning simulator for volatile manufacturing environments (COIN-program)

Fajar J. Ekaputraمشاهده پروفایل

استادیار

• Semantic Web
• Knowledge Graphs
• Knowledge Engineering
• +۳ مورد دیگر

Fajar J. Ekaputra is an Assistant Professor at the Institute for Data, Process and Knowledge Management at Vienna University of Economics and Business (WU Wien) , Austria. He holds a bachelor’s and master’s degree in Informatics from Institut Teknologi Bandung, Indonesia , and a doctoral degree in Informatics from TU Wien (2018) . As a self-described Knowledge Scientist and Semantic Web enthusiast , his research focuses on foundational and applied aspects of Semantic Web technologies to address data reliability in domains like Cyber-Physical Systems and Hybrid AI (Neuro-symbolic) systems. Notable projects include CDL-Flex in the CPS domain, SLOGERT for log Knowledge Graph construction, and AuditBox for audit trace management in AI systems. His work has resulted in over 55 peer-reviewed publications in top-tier venues such as ISWC , ESWC , and SWJ , including two best paper awards. He actively participates in scientific and organizational committees for international conferences like ISWC , ESWC , and SEMANICS . His research interests align with trustworthy data systems and auditability in AI , with applications spanning industrial knowledge engineering and data integration. Education: Bachelor’s & Master’s: Institut Teknologi Bandung, Indonesia Doctorate: TU Wien, Austria (2018) Research Projects: CDL-Flex (CPS domain) SLOGERT (Knowledge Graphs) AuditBox (AI auditability) Scientific Contributions: 55+ peer-reviewed papers (ISWC, ESWC, SWJ, IJSEKE) 2 Best Paper Awards Active in international conference committees

Christian Göbelمشاهده پروفایل

استاد

• Chinese Politics
• Authoritarianism
• Digital Governance
• +۵ مورد دیگر

Christian Göbel holds the position of University Professor of Modern China Studies within the Department of East Asian Studies at the University of Vienna. A political scientist and sinologist by training, his scholarly work investigates the adaptive mechanisms of the Chinese Party-State when confronted with societal, economic, and political pressures. He is particularly renowned for examining how digital technologies reshape governance practices and citizen-state interactions at the local level in China. Professor Göbel's research program centers on authoritarian resilience, digital governance, and social movements in contemporary China. His methodological approach combines qualitative content analysis, text statistical techniques, and inferential statistics applied to data gathered through expert interviews, expert surveys, and web harvesting. This interdisciplinary methodology enables nuanced examination of state responsiveness to citizen grievances, protest dynamics, and institutional adaptations within single-party systems, with particular attention to how digital tools transform traditional governance mechanisms. Analysis of his recent scholarly output reveals a consistent thematic concentration on protest event analysis, state responsiveness to citizen input, and the strategic deployment of digital technologies by authoritarian regimes. His comparative work on China and Taiwan explores variations in civil society development, corruption patterns, and institutional anti-corruption mechanisms, demonstrating how authoritarian systems evolve while maintaining political control. The integration of computational methods with traditional political science approaches marks a distinctive feature of his contemporary research. No scientific awards or major honors were explicitly referenced in the available documentation. Professor Göbel actively supervises doctoral and undergraduate students through PhD Colloquia and Bachelor's Colloquia, fostering academic development in Chinese political studies. Although specific grant funding details remain undisclosed in the provided materials, his research design implies substantial engagement with collaborative data collection initiatives involving expert networks and digital trace analysis, suggesting involvement in externally funded projects examining state-society relations in East Asia. The provided texts do not mention any dedicated laboratory facilities or formal research teams associated with Professor Göbel's work, though his methodological approach suggests collaboration with data scientists and area specialists for computational analysis of political phenomena.

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.

Dieter Fellnerمشاهده پروفایل

استاد

• Computer Graphics
• Digital Libraries
• Computational Geometry
• +۱۰ مورد دیگر

Dieter Fellner is a Professor of Computer Science at Technical University of Darmstadt, Germany , and Director of the Fraunhofer Institute of Computer Graphics (IGD) . He also serves as Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. His career spans multiple prestigious institutions including University of Bonn, Memorial University of Newfoundland, and University of Technology Braunschweig. Dr. Fellner's research focuses on algorithms integrating modeling and rendering , digital libraries , virtual/augmented reality , collision detection , and radio wave propagation simulation . His work in digital libraries led to a DFG-funded strategic initiative (1997-2005) involving 50 researchers annually across 21 groups. The 15 most recent articles highlight his expertise in 3D document modeling , stereoscopic projection , subdivision surfaces , and color quantization . His publications include influential textbooks like the German standard on computer graphics (1988) and Digitale Bibliotheken (2000). 2000 Fellow of the Eurographics Association Best Technical Paper Award (Günther Enderle Award) at Eurographics’98 2007 IST Advisory Group (ISTAG) Member for the European Commission 2019 Honorary Doctorate from University of Rostock Dr. Fellner actively participates in editorial boards of journals like Computer Graphics Forum , IEEE CG&A , and JOCCH , and serves on program committees for conferences such as Eurographics, VSMM, and ACM Web3D. His leadership roles include Chairmanship of the Eurographics Association (1999-2000) and Directorship of Fraunhofer IGD (since 2006).

Mislav Grgicمشاهده پروفایل

استاد

• Image Processing
• Biometrics
• Digital Video Communications
• +۵ مورد دیگر

Mislav Grgic is a Full Professor at the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), where he has been working since 1997. He currently serves as President of the Deans' Club - Association of Deans of Croatian University Faculties (2022-present) and as the 10th Grand Master of The Society of Brethren of the Croatian Dragon (2021-present). Previously, he was Dean of FER (2014-2018), the youngest ever elected to this position, and served as Special Advisor to the Rector of University of Zagreb (2015-2022). His educational background includes B.Sc. (1997), M.Sc. (1998), and Ph.D. (2000) degrees in electrical engineering, all from University of Zagreb's Faculty of Electrical Engineering and Computing. He was a visiting researcher at University of Essex, United Kingdom (1999-2000). Professor Grgic's research focuses on image processing, biometrics, digital video communications, and medical imaging applications. His work spans digital mammography for breast cancer detection, face recognition systems, image compression, and computer-aided diagnosis. He has published over 200 papers in books, journals and conference proceedings, with significant contributions to the field of image quality assessment and medical imaging analysis. His recent publications demonstrate continued leadership in image processing, with emphasis on image quality assessment, medical imaging applications, and educational outreach. His work bridges theoretical research with practical applications, particularly in healthcare technology and engineering education. Among his numerous honors and awards are: Croatian State Science Award for 2018 for popularization of technical sciences Order of the Croatian Star with the Effigy of Rudjer Boskovic IEEE Croatia Section Distinguished Service Award Fran Bosnjakovic Award - highest award in technical sciences of University of Zagreb Multiple Josip Loncar medals from FER Professor Grgic has been actively involved in professional service, including as Chair of IEEE Croatia Section (2013-2016) and as a full member of the Croatian Academy of Engineering since 2012. He has served as a guest editor for special issues in prestigious journals focusing on facial image processing and pattern recognition-based methods for biometric re-identification.

Pedro Jordanoمشاهده پروفایل

استاد پژوهشی

• Plant-animal mutualisms
• Ecological networks
• Seed dispersal ecology
• +۴ مورد دیگر

Pedro Jordano holds dual appointments as Research Professor at the Spanish National Research Council (CSIC) in the Department of Integrative Ecology (Estación Biológica de Doñana) and as Associate Professor at the University of Sevilla's Department of Plant Biology and Ecology. He has maintained continuous academic positions since 1987, progressing from Associate Researcher to his current senior roles. His research examines biodiversity through ecological and evolutionary lenses, focusing on: Plant-animal mutualistic networks and coevolutionary processes Molecular ecology of seed dispersal and pollination systems Conservation biology of tropical ecosystems Complex interaction networks structuring ecological communities Demographic consequences of seed dispersal mechanisms Analysis of his recent publications reveals consistent themes in ecological network architecture, coevolutionary dynamics, and conservation implications of species interactions. His work integrates theoretical models with empirical field studies, frequently examining how mutualistic relationships influence biodiversity patterns in changing environments. Significant honors include: Rey Jaime I Award in Environmental Conservation (2014) National Research Award 'Alejandro Malaspina' (2018) Mercer Award from ESA (2008) British Ecological Society Marsh Award (2016) Honorary Professorship at University of Sevilla (2009) He has supervised 16 completed PhD theses with 3 ongoing, 11 Master's theses, and 23 post-doctoral researchers. Currently chairs Spain's Environmental Sciences research program and previously led European Research Council panels. Organizes international field courses in Brazil and teaches graduate programs in conservation biology.

• Graph Database
• Process Mining
• Image Processing
• +۲ مورد دیگر

Andreas Manfred Pointner is an Assistant Professor at FH Hagenberg's Research Center Hagenberg, affiliated with the Web Intelligence and Innovation Laboratory. His work focuses on graph databases, process mining, healthcare informatics, and software engineering. He has contributed to projects like RiskAI and PASS, addressing interoperability challenges in healthcare systems and automated data import solutions. Notably, he received the Best Paper Award at Intelligent Systems and Applications 2022. Research Interests: Graph Databases, Process Mining, HL7 Standards, Fuzz Testing Awards: Best Paper Award 2022 Projects: RiskAI (Risk Management), PASS (Plan Analysis), REPO (Radiology E-health Platform)

• Opinion Mining
• Sentiment Analysis
• Evolutionary Algorithms
• +۳ مورد دیگر

Gerald Petz is Professor at the Digital Business Institute, focusing on digital transformation and computational analysis of user-generated content. His research develops methodologies for opinion mining, sentiment analysis, and evolutionary algorithms applied to business intelligence. Current projects investigate persuasive chatbot interactions, consumer response modeling, and reputation management in digital environments. He leads multiple applied research projects including SENOMWEB and OPMIN 2.0, developing tools for analyzing social media data and customer feedback. His work connects computational linguistics with business applications, particularly in service recovery and consumer psychology domains. Teaching activities include seminars on search optimization for e-commerce and implementing accessible web content management systems. He regularly presents research at international conferences on digital business transformation and computational social science.