جست‌وجوی استاد و پژوهشگر

• Automating Software Engineering Tasks
• Mining Software Repositories
• Program Analysis
• +۹ مورد دیگر

Univ.-Prof. Martin Pinzger is a Professor at the Department of Informatics Systems, Alpen-Adria-Universität Klagenfurt. He serves as Head of Department and Member of the Senate, actively contributing to academic governance. Research Focus: Automating Software Engineering Tasks, Mining Software Repositories, Program Analysis, Software Evolution and Visualization Recent Work: Developing tools for API evolution analysis, cybersecurity AI (CAI), robotics benchmarking (RobotPerf), and dependency validation His research combines empirical studies with tool development for software maintenance and security. Current projects address challenges in REST API breaking changes, cloud security certifications, and robotic system performance evaluation. Publications since 2023 demonstrate continued engagement with topics spanning AI-driven code segmentation, microservice API evolution, and cybersecurity tool development. Key trends include cross-disciplinary applications of NLP to software engineering and security-focused tool creation. Contact: martin.pinzger@aau.at

• Legal Informatics
• Artificial Intelligence and Law
• Data Protection and Privacy
• +۵ مورد دیگر

Erich Schweighofer serves as Associate Professor at the University of Vienna within the Institute for European, International and Comparative Law, specifically affiliated with the Department of International Law and International Relations. His research activities are centered at the Juridicum building (Schottenbastei 10-16, 1010 Vienna), where he maintains an active office presence with scheduled consultation hours. His scholarly focus spans Legal Informatics , Artificial Intelligence and Law , Data Protection , and Legal Knowledge Representation , with particular emphasis on explainable AI systems for legal contexts and formal methodologies for translating legal norms into computational frameworks. This interdisciplinary work bridges jurisprudence and computer science through projects examining biometric regulation, autonomous vehicle governance, and natural language processing applications in legal domains. Analysis of his 2021-2024 publications reveals consistent thematic progression toward operationalizing legal principles in AI systems, with increasing focus on transparency mechanisms, temporal logic for dynamic regulations, and cross-jurisdictional compliance challenges. His work predominantly appears in the International Legal Informatics Symposium (IRIS) proceedings and JURIX conferences, reflecting deep engagement with the legal informatics community. Professor Schweighofer leads a dedicated research team including project assistants Mag. Jessica Fleisch, Mag. Jonas Pfister, Felix Schmautzer, and Mag. Jakob Zanol, while actively participating in the University of Vienna's Working Group on Legal Informatics (Arbeitsgruppe Rechtsinformatik). His collaborative approach extends to organizing the biennial IRIS symposium, which has established itself as a cornerstone event for European legal informatics scholarship since 1998.

Axel Polleresمشاهده پروفایل

استاد

• Semantic Web
• Knowledge Graphs
• Ontology Reasoning
• +۷ مورد دیگر

Axel Polleres is a full professor at the Institute for Data, Process and Knowledge Management in Vienna University of Economics and Business (WU Wien). He leads the department of Information Systems and Operations Management while maintaining active research in knowledge graphs, semantic web technologies, and ontology engineering. PhD and Habilitation from Vienna University of Technology Former positions at University of Innsbruck, Universidad Rey Juan Carlos, DERI Ireland, and Siemens AG Co-chair of W3C SPARQL working group Editorial board member for Semantic Web Journal and IJSWIS His research focuses on: Querying and reasoning over ontologies Graph schema languages (SHACL, SPARQL) Wikidata constraint formalization Ontology reuse in collaborative platforms Crisis management knowledge graphs FAIR data principles implementation Recent publications analyze knowledge graph evolution, constraint validation methodologies, and semantic web standardization efforts. Key topics include: OWL/RDF interoperability solutions Unit conversion systems for Wikidata Partition-based query processing frameworks Network resilience analysis for urban planning Open data platform discovery tools Temporal analysis of collaborative knowledge graphs He has co-organized major conferences like ISWC2023 and ESWC workshops while maintaining active roles in European research projects. Current work involves spatiotemporal knowledge graphs for city resilience and semantic web infrastructure development.

• Neurosymbolic AI
• Answer Set Programming
• Visual Question Answering
• +۳ مورد دیگر

Nelson Nicolas Higuera Ruiz is a PreDoc Researcher at the Vienna University of Technology, affiliated with the Faculty of Informatics' Knowledge-Based Systems research group. His work bridges logic programming and deep learning for explainable AI. Research Focus: Neurosymbolic AI, Visual Question Answering (VQA), Answer Set Programming (ASP), and hybrid reasoning systems Projects: Leads optimization research in the LCS (2017–2025) project, developing neurosymbolic approaches for intelligent systems Key Contributions: Pioneering adaptive large-neighbourhood search algorithms for ASP optimization, modular neurosymbolic architectures, and contrastive explainability frameworks for VQA Collaborations: Active in international workshops and conferences including IJCAI, AAAI, and CLeaR, frequently collaborating with researchers like Thomas Eiter and Johannes Oetsch Publications: Focus on neurosymbolic integration, optimization algorithms, and explainability across AI, logic programming, and computer vision domains

Rafail Ostrovskyمشاهده پروفایل

استاد

• Algorithms
• Cryptography and Computer Security
• Theoretical Computer Science
• +۳ مورد دیگر

Rafail Ostrovsky is a Professor of Computer Science and Mathematics at UCLA , affiliated with the Center for Information and Computation Security at the Henry Samueli School of Engineering and Applied Science. He earned his Ph.D. in Computer Science from MIT in 1992 under Silvio Micali. Research Focus: His work spans cryptography, algorithms, and theoretical computer science, emphasizing secure multi-party computation, zero-knowledge proofs, oblivious RAM, and high-dimensional data analysis. Applications include privacy-preserving data mining, systems security, and quantum cryptography. Article Trends: Recent publications address concurrent security protocols, robust secret sharing via expander graphs, and efficient multi-party computation. Topics intersect computational complexity, cryptographic reductions, and practical security implementations. Awards: Recipient of the 2018 RSA Conference Excellence in Mathematics Award , 2017 IEEE Fellow , and multiple IEEE/ACM honors. Holds 14 U.S. patents and over 290 refereed papers. Advising: Supervised 27 Ph.D. students, many now professors at top institutions. Served on 40+ program committees, including FOCS 2011 Chair. Labs: Leads the CICS research center, fostering interdisciplinary work in information security and cryptographic systems.

Fajar Juang Ekaputraمشاهده پروفایل

عضو هیئت علمی

• Semantic Web
• Knowledge Graphs
• Neurosymbolic AI
• +۴ مورد دیگر

Fajar Juang Ekaputra is a Tenure Track Assistant Professor at the Institute of Data, Process, and Knowledge Management (DPKM), WU Vienna and a part-time Postdoctoral Researcher at the Data Science research unit, TU Wien . With a focus on Semantic Web , Knowledge Graphs , and their integration with Machine Learning in Neurosymbolic AI systems, his work spans domains like Cyber-Physical Systems and Materials Engineering . Education: Dr.techn. (2018), TU Wien M.T. (2010) and S.T. (2008), Institute Teknologi Bandung (ITB) Research Interests center on hybrid AI systems combining Semantic Web and Machine Learning , with applications in Cyber-Physical Systems (e.g., smart grids, smart buildings), data privacy in smart cities, and materials engineering . His 102+ publications include frameworks like SWeMLS-KG and SHACL4Protege . Recent Articles (2024) address explainable AI in cyber-physical systems, privacy trust in data infrastructures, and neurosymbolic frameworks . Earlier works (2023–2022) explore ontology-based data management , auditable AI , and hybrid system architectures . Scientific Awards: Best Paper Awards (ICoDSE 2023, ICoDSE 2016) Best Poster Nomination (SEMANTiCS 2019) PhD Scholarship (Austria’s Agency for Education and Internationalisation, 2012) Advising includes supervising PhD students (e.g., Majlinda Llugiqi, Katrin Schreiberhuber) and master’s theses on topics like knowledge graph characteristics and data quality assessment . He leads projects such as FAIR-AI (FFG-funded, 2024–2026) and SENSE (Horizon Europe, 2023–2025).

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +۵ مورد دیگر

Alexander Rind is a full-time Researcher at the University of Applied Sciences St. Poelten , affiliated with the School of Media and Digital Technologies and the Media Computing Research Group . He holds an MSc in Business Informatics from Vienna University of Technology, University of Vienna, and Lund University. Education : 1998-2004 MSc in Business Informatics His research interests span Visual Analytics , Information Visualization , and Human-Computer Interaction , with specialization in time-oriented data analysis , electronic health records visualization , and multimodal analytics . Recent projects focus on integrating sonification with visualization for enhanced data exploration. Key publication trends reveal expertise in temporal data modeling , multimodal analytics , and domain-knowledge integration for healthcare and social work applications. His work includes TimeBench (open-source time-oriented data library) and tools like easyBiograph / easyNWK for social diagnostics. He actively contributes to scientific communities as program committee member for IEEE VIS, EuroVis, and journals like TVCG, while developing visual analytics systems for clinical gait analysis, media transparency, and industrial manufacturing.

• Work Psychology
• Organizational Psychology
• Economic Psychology
• +۳ مورد دیگر

Bettina Kubicek is Professor of Work and Organizational Psychology at the University of Graz, Faculty of Natural Sciences, where she leads research in the Smart Regulation profile area and contributes to the Human Factor in Digital Transformation and Brain and Behavior research networks. Her work bridges psychological theory with practical organizational challenges in contemporary workplaces. Her research spans work psychology, organizational psychology, and economic psychology with emphases on flexible work arrangements, work intensification, and human-robot collaboration. She investigates cognitive demands of flexible work, work-home interface dynamics, and digital transformation impacts through diary studies and experimental designs. Recent work explores telework challenges, AI in HR, and trust mechanisms in human-robot teams during disaster response. Analysis of her recent publications reveals growing focus on human-robot interaction in Industry 4.0, cognitive aspects of telework, and cross-cultural validation of work addiction scales. Her methodology combines intensive longitudinal designs with physiological measures, increasingly incorporating VR interfaces and AI-driven personnel selection experiments. Scientific awards include: Wirtschaftskammerpreis for project 'Flexible Arbeitsbedingungen und die Vereinbarkeit von Beruf und Familie' (2015) Innovationspreis der Universität Wien (2012) Multiple research stipends for University of Wisconsin-Madison stays (2005-2008) She has secured significant competitive grants including FWF-funded 'Cognitive demands of flexible work: Risks and challenges' (2017-2022) and FFG-supported 'Enabling and Assessing Trust when Cooperating with Robots in Disaster Response' (2021-2023), examining trust calibration and cognitive load in human-robot teams. Current projects address evidence-based guidelines for ICT use in work-life boundaries. As core member of the Human Factor in Digital Transformation network, she collaborates with engineers, computer scientists, and healthcare professionals to develop human-centered technological solutions, particularly in healthcare robotics and disaster response systems.

• Model Engineering
• Web Engineering
• Process Engineering
• +۹ مورد دیگر

Gerti Kappel is a full professor at the Institute of Information Systems Engineering at TU Wien, affiliated with the Business Informatics Group (BIG). Since 2020, she has served as Dean of the Faculty of Informatics at TU Wien, previously holding the role of Dean’s team member responsible for research, diversity, and financial affairs (2016–2019). She previously held a full professorship in computer science (database systems) and led the Department of Information Systems at Johannes Kepler University Linz (1993–2001). Her research focuses on Model Engineering, Web Engineering, and Process Engineering, particularly in cyber-physical production systems. She has co-authored influential works such as UML@Work (2005), UML@Classroom (2015), and Web Engineering (2006). Key projects include leadership roles in Vienna Informatics Living Lab (2018–2019), MPM4CPS (2014–2019), and ARTIST (2012–2015), addressing topics like model versioning, cloud architecture modeling, and inter-organizational systems. Her recent articles explore circular systems engineering, IoT-based simulation environments, and model-driven approaches for time-series analytics and cloud applications. She actively contributes to academic governance, including managing the Office of the Dean (E199-01) and overseeing faculty services. Her work emphasizes bridging theory and practice through collaborative frameworks like ERPEL and TROPIC . Grants: Projects funded by Austrian Research Promotion Agency, European Cooperation in Science and Technology, Vienna Business Agency, and others. Advising: Supervised over 15 graduate theses, including recent works on model-driven techniques for railway planning, debugging frameworks for modeling tools, and cloud-based IDEs. Labs/Teams: Leads research within the Business Informatics Group (BIG) and collaborates with the Vienna Informatics Living Lab for applied systems engineering.

Borivoje Furhtمشاهده پروفایل

استاد

• Multimedia Systems
• Video Coding and Compression
• Cloud Computing
• +۷ مورد دیگر

Borivoje Furht is a Professor of Computer Science and Engineering at Florida Atlantic University (FAU) in Boca Raton, Florida, a position he has held since 1992. He maintains dual affiliations with FAU and the Mathematical Institute of the Serbian Academy of Sciences and Arts. At FAU, he serves as Director of the NSF-sponsored Industry/University Cooperative Research Center for Advanced Knowledge Enablement since 2009. His academic leadership includes serving as Chair of the Department of Computer and Electrical Engineering and Computer Science (2009-2013) and Chair of the Department of Computer Science and Engineering (2002-2009). He earned his Ph.D. in electrical and computer engineering from the University of Belgrade, following early career positions at the Institute Boris Kidric-Vinca in Yugoslavia and Modcomp (a computer division of Daimler Benz). Dr. Furht's research spans multiple areas in computer science with a strong focus on multimedia technologies. His current research interests include multimedia systems, video coding and compression, cloud computing, big data, mobile multimedia, and wireless multimedia applications. Over his career, he has secured approximately $15 million in research funding from government agencies including NSF, NIH, Department of Navy, DoD, and NASA, as well as private industries such as IBM, Google, Apple, LexisNexis, Motorola, and Emerson. His scholarly contributions include founding and serving as editor-in-chief of the Journal of Multimedia Tools and Applications (Springer) and co-founding the Journal of Big Data (Springer). His work has been recognized with numerous awards including multiple FAU Researcher of the Year Awards (2019, 2013), a Distinguished Engineering Education Award from The Engineer's Council (2019), and various technical achievement awards throughout his career spanning from 1982 to 2019. Dr. Furht has also served as a consultant to various companies, colleges, and universities, leveraging his expertise in multimedia systems and computer engineering across both academic and industrial settings.

• Databases
• Information Systems
• Data Management
• +۹ مورد دیگر

Johann Eder is a full professor for Information and Communication Systems at the Department of Informatics Systems, University of Klagenfurt, Austria, and currently serves as Deputy Head of Department. He previously held positions at the Universities of Linz, Hamburg, Vienna, and Klagenfurt, and was Vice President of the Austrian Science Funds (FWF) from 2005-2013. He was also a visiting scholar at AT&T Shannon Labs, NJ. Educational Background: Diplom-Ingenieur, University of Linz Doctor of Technical Sciences, University of Linz Johann Eder's research focuses on databases, information systems, and data management for medical research, including temporal information modeling, process evolution, and workflow systems. His work spans temporal data warehousing, exception handling in workflows, and application interoperability, with a particular emphasis on privacy and quality in medical data lakes and federated biobanks. Recent publications highlight trends in temporal reasoning for business processes, medical data quality, and service composition optimization. His editorial roles include positions at ACM Transactions on Database Systems and IEEE Transactions on Knowledge and Data Engineering . He leads the Information and Communication Systems Research Group at AAU, contributing to projects like federated biobank integration and blockchain-based smart contracts.

Gerhard Friedrichمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge-Based Systems
• Recommender Systems
• +۱۰ مورد دیگر

Gerhard Friedrich is a Full Professor at the University of Klagenfurt, leading the Institute for Artificial Intelligence and Cybersecurity. He previously served as Dean of the Faculty of Technical Sciences (2013–2021). His roles include Coordinator for International Relations of the Faculty of Engineering and Member of the Faculty Conference of Technical Sciences. He holds a PhD in Computer Science from Vienna University of Technology and has extensive industry experience, including heading departments at Siemens Austria and research roles at Siemens Corporate Research and Stanford Research Institute. Research focuses on knowledge-based systems, recommender systems, configuration and planning, and production informatics. His work bridges theoretical AI with practical applications in manufacturing, software development, and business processes. He has authored a book on recommender systems (translated into Japanese and Chinese) and contributed to prestigious journals like Artificial Intelligence and IEEE Transactions . He has organized major conferences such as the German Conference on Artificial Intelligence (2016) and served as editor and program committee member for leading venues. His awards include Fellowships from the European and Asia-Pacific AI Associations (2012, 2023). His advising and grants include leadership in applied AI projects and international collaborations. He directs the Intelligent Systems and Business Informatics research group, emphasizing interdisciplinary innovation.

• Environmental History
• Aquatic Ecology
• River Management
• +۴ مورد دیگر

Gertrud Haidvogl serves as Associate Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Institute of Hydrobiology and Water Management (IHYAM) and Institute of Social Ecology (iISEC). Her research bridges environmental history and aquatic ecology to examine long-term socio-ecological transformations in river systems, with special focus on the Danube River Basin. She holds teaching authorization in Historical Aquatic Ecology and Environmental History and maintains active scholarly output through 2025. Her research interests encompass historical ecology of rivers, socio-ecological river dynamics, and human-river coevolution. She investigates how industrialization, urbanization, and infrastructure projects have altered river connectivity, fish migration, and floodplain ecosystems over centuries. Her interdisciplinary methodology integrates archival research, archaeological data, ecological modeling, and policy analysis to reconstruct historical baselines and inform contemporary river restoration. Key themes include longitudinal connectivity disruption, biodiversity loss in freshwater systems, and the evolution of flood control paradigms. Analysis of her 2022-2025 publications reveals increasing emphasis on policy-relevant research, particularly regarding EU Nature Restoration Law implementation and transboundary river management. Her work consistently applies historical perspectives to establish ecological reference conditions while addressing contemporary challenges like climate change adaptation and free-flowing river restoration. The interdisciplinary nature of her scholarship is evident in collaborations spanning environmental history, ecology, hydrology, and social sciences. Dr. Haidvogl actively participates in the FWF Doctoral Program "Industrialized River Landscapes" under the HR21 Doctoral School, indicating her role in supervising doctoral candidates and securing competitive research funding. Her collaborations with the International Association for Danube Research (IAD) demonstrate engagement in transnational research networks addressing basin-scale challenges. While specific grant details aren't provided, her leadership in major interdisciplinary programs reflects substantial research funding. Embedded within BOKU's Hydrobiology and Water Management group, she contributes to interdisciplinary teams developing tools like the River Network Toolkit (RivTool) and iPODfish framework for historical fish occurrence reconstruction. Her work frequently involves partnerships with historians, ecologists, and policymakers to address complex river management challenges in urbanizing landscapes.

Stephan Schlöglمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Artificial Intelligence
• Interaction Design
• +۶ مورد دیگر

Stephan Schlögl is a Full Professor at MCI - The Entrepreneurial School in Austria, leading research and teaching in Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Systems. He holds editorial roles at journals like the Springer Discover Artificial Intelligence Journal and MDPI Multimodal Technologies and Interaction Journal. His work spans over two decades, with key roles including Postdoctoral Research Fellow at Télécom ParisTech (2012–2013) and PhD Researcher at Trinity College Dublin (2008–2012). Schlögl’s research focuses on HCI, AI-driven conversational systems, and assistive technologies for aging populations. Education includes a PhD in Computer Science from Trinity College Dublin, an MSc in Human-Computer Interaction from University College London, and a Mag.(FH) in Applied Informatics & Management from MCI. His teaching spans Software Engineering, Business Intelligence, and Research Methods. Research interests emphasize natural language interfaces, AI ethics, and technology’s societal impact. Notable projects include the EU-funded EMPATHIC initiative (2017–2021), developing an empathic virtual coach for elderly care, and the CRYSTAL project (2024–present) on conversational systems for emotional support. Schlögl has supervised numerous theses on AI applications, chatbots, and UX design. He co-organized major conferences like CUI (Conversational User Interfaces) and received awards for best papers in AI-HCI and CHIRA. His work bridges academia and industry, addressing challenges in AI adoption, digital well-being, and ethical technology design.

• Database Systems
• Artificial Intelligence
• Big Data Analytics
• +۳ مورد دیگر

Lukas Grasmann is a Researcher at the Faculty of Informatics, Vienna University of Technology (TU Wien), based in the Databases and Artificial Intelligence research group (Institute E192-02, Room HA0302). His contact details include email lukas.grasmann@tuwien.ac.at and phone +43-1-58801-192216, with professional activities centered on cutting-edge database technologies and AI applications. His educational qualifications comprise: Bachelor of Science (BSc) Diplom-Ingenieur (Dipl.-Ing.) in Engineering Grasmann's research spans database systems and artificial intelligence with emphasis on big data analytics, distributed query processing, and skyline query optimization. His work focuses on integrating specialized query paradigms into Apache Spark SQL for efficient large-scale data analysis, particularly applied to perishable food supply chain optimization for waste reduction. This intersects computer science fundamentals with sustainability-driven practical implementations. His 2022-2023 publications reveal a concentrated research trajectory in enhancing Spark SQL's capabilities for skyline queries, addressing both theoretical optimization challenges and real-world deployment in distributed environments. The work demonstrates consistent innovation in bridging database theory with big data infrastructure, advancing scalable solutions for multi-criteria decision problems. Scientific recognition: No formal awards or fellowships documented in source materials Research funding and collaborations include: Lead researcher on FFG-funded project "AI-driven collaborative supply and demand matching platform for food waste reduction" (2022-2025) Contributor to HyperTrac project (2018-2022) focusing on traceability systems Active participant in KnowledgeGraph initiative (2020-2028) developing semantic knowledge networks He operates within TU Wien's Databases and Artificial Intelligence research ecosystem (Institute E192), collaborating with specialists like Pichler and Selzer on database scalability challenges. The group maintains strong industry connections through applied projects targeting supply chain intelligence and food waste analytics.