Filip Kovacevic is a PreDoc Researcher at TU Wien's Faculty of Informatics, specializing in Data Science within the Institute of Information Systems Engineering (E194). His work centers on advancing data infrastructure, management frameworks, and health informatics applications. He holds a Bachelor of Science (BSc) and Diplom-Ingenieur (Dipl.-Ing.) degree, the latter equivalent to a Master of Engineering in technical disciplines. His research spans Data Management, Information Systems, and Health Informatics with emphasis on machine-actionable data solutions. Key interests include secure data infrastructure design, data citation frameworks for semantic web technologies, and health dataset creation from medical forums. Current projects integrate natural language processing with data governance to address real-world healthcare data challenges. Recent publications (2021-2023) reveal consistent focus on practical data infrastructure tools: automated assessment of data management plans (2023), open-source secure data systems (OSSDIP, 2022), and RDF*-based citation frameworks (2021). These works demonstrate expertise in bridging theoretical data science with implementable solutions for research data ecosystems. Advising and Grants: No current student advisement is documented. He leads an Austrian Exchange Service (OeAD) funded project (2025-2026): Designing an Annotation Framework for Creating a Health Dataset from Layperson Medical Forums in Bahasa Indonesia Labs and Teams: Affiliated with TU Wien's Institute of Information Systems Engineering (E194), he contributes to the Data Science research group focusing on data infrastructure development, particularly in health informatics and secure data processing pipelines.
Sanja Lukumbuzya is a PostDoc Researcher at the Knowledge-Based Systems group (E192-03) of Vienna University of Technology. Her work bridges formal logic and practical data systems, focusing on ontology-mediated data management, description logics, and business process challenges. Research Interests Ontology-Based Data Access (OBDA) Description Logics and Datalog Rewriting Process Mining and Workflow Analysis Hybrid Reasoning Systems Incomplete Data Handling Computational Complexity in Knowledge Bases Affiliations Vienna University of Technology, Austria Researcher in projects KtoAPP (2018–2025) and OMEGA (2017–2022) Publications Trends Her recent work addresses algorithmic complexity in expressive logics (2024), coNP expressiveness in ontology queries (2023), and practical BPM challenges (2023). Earlier studies focused on bounded predicates (2021), hybrid ASP-ontology frameworks (2020), and dishonesty modeling (2018).
Kresimir Matkovic serves as an Associate Professor in the Computer Graphics department (E193-02) at the Faculty of Informatics, Vienna University of Technology. His research spans multiple domains within visualization, with a particular focus on applying visualization techniques to solve complex problems in geology, healthcare, engineering, and meteorology. His work bridges the gap between theoretical visualization principles and practical applications in diverse scientific fields. Dr. Matkovic's research interests center around Computer Graphics, Information Visualization (InfoVis), Scientific Visualization (SciVis), and Human-Computer Interaction (HCI). His work demonstrates a strong emphasis on developing interactive visual analytics systems that enable domain experts to explore complex datasets. A significant portion of his research focuses on geological data visualization, particularly for mineral classification and analysis, where he has developed specialized tools like the Spinel Explorer. His work also extends to healthcare visualization, where he has created systems for analyzing intensive care unit data, and engineering applications, where visual analytics supports simulation and design processes. An analysis of his recent publications reveals a consistent focus on developing interactive visualization techniques for domain-specific applications. His work shows a progression from foundational visualization techniques toward more specialized domain applications, particularly in geology and healthcare. His research demonstrates a strong interdisciplinary approach, collaborating with domain experts to develop visualization solutions that address specific scientific challenges. The publications show consistent contributions to major visualization conferences including IEEE Transactions on Visualization and Computer Graphics and EuroVis. Dr. Matkovic has supervised multiple students including Radoš, S. (2023) on reprojecting visualizations for advanced interaction, Priselac, M. (2021) on visual analytics of spatial time series data, and Freiler, W. (2008) on set type enabled information visualization. His research has been supported by several major projects including Visual Computing-Basic Research (2008-2013) at VRVis, KASI (2010-2015) focused on Visual Analytics for Complex Engineering Systems, and HypoVis (2011-2015) which explored various visual analytics applications. His laboratory work centers around the development of interactive visual analytics systems, with particular emphasis on applications in geological data analysis, medical/healthcare visualization, and engineering systems. His team has developed specialized tools like the Spinel Explorer for mineral analysis and Albero for weather forecasting visualization. Current research appears to be focused on advancing interactive techniques for visual analytics, particularly in handling complex, multi-dimensional datasets across various scientific domains.
Gernot Steindl is a PostDoc Researcher at the Automation Systems group (E191-03) at Technische Universität Wien. His research focuses on digital twins, industrial IoT, and semantic technologies for cyber-physical systems. Research domains include: Semantic interoperability in industrial automation Model-based systems engineering Energy management systems Safety and security integration Recent publications demonstrate developments in semantic event-handling frameworks, OPC UA integration, and digital twin architectures. Research consistently applies semantic web technologies to enhance system interoperability and explainability in industrial contexts. Supervised student research includes work on multi-agent systems, fault detection models, and automation system interfaces.
Stefan Schulte is an Associate Professor at TU Wien's Faculty of Informatics, holding a habilitation in Computer Science. His roles include Vice Dean of Academic Affairs for Business Informatics. He earned a diploma in economics, bachelor's in Computer Science from the University of Oldenburg, and master’s from the University of Newcastle. He completed his PhD at TU Darmstadt and habilitation at TU Wien. His research focuses on data engineering, elastic computing, IoT, QoS/QoE, fog computing, and blockchain for data provenance. He leads projects like SIMPLI-CITY and CREMA, coordinating EU-funded initiatives. Education: Diploma in Economics (Oldenburg), BSc Computer Science (Oldenburg), MSc Information Technology (Newcastle), PhD (TU Darmstadt, 2010), habilitation (TU Wien, 2018). Research Interests: Data stream processing in IoT and smart systems Elastic computing frameworks for cloud/fog environments Blockchain applications for verification and interoperability QoS optimization in distributed systems Smart mobility and manufacturing systems Publications: Over 100 refereed papers in top venues like IEEE Transactions on Services Computing and VLDB. Recent work emphasizes fog computing architectures and cross-blockchain solutions. Awards: Multiple best paper awards (ESOCC 2020, Blockchain-2020), teaching recognition, and prestigious awards for student theses (OCG Incentive Award, Vienna City Awards). Grants/Advising: Coordinated EU projects SIMPLI-CITY and CREMA, supervised over 30 theses. Active in PhD supervision for Cyber-Physical Production Systems. Labs/Teams: Director of TU Wien's Distributed Systems Group (DSG), leading Fog Computing and Blockchain research initiatives.
Rene Christian Röpke is an Assistant Professor of Software Engineering at TU Wien, Austria. He serves as Head of the Service Unit eduLAB (E199-04) and leads the LTeD Research Lab . His primary research focuses on Learning Technologies, AI in Education, and Game-based Learning. He teaches courses such as Informatics Didactics, Project in Computer Science, and seminars for doctoral students. His work emphasizes practical tools like Interactive Study Planning Tools , BuddyAnalytics , and WebWriter , which leverage AI and data analytics to improve educational outcomes. He actively contributes to conferences like GALA and DELFI, editing special issues and presenting on topics ranging from serious games to open science practices. Röpke's recent articles (2024-2025) explore digital collaborative learning, process mining for student support, and ethical game design. His publications span journals like Frontiers in Psychology and conferences such as the International Conference on Learning Analytics & Knowledge. He maintains an active role in both educational technology development and pedagogical research methodologies. His research integrates software engineering principles with human-centered design, aiming to create transparent, equitable educational systems. Current projects include AI-driven study planning systems and tools for analyzing student pathways at scale.
Jürgen Dorn is a retired Associate Professor at the Technische Universität Wien (TU Wien), affiliated with the Faculty of Informatics and the Institute of Information Systems. His career includes roles at the Christian Doppler Laboratory for Expert Systems and leadership of the Virtual Enterprises group at the E-Commerce Competence Center. He holds a PhD in knowledge-based real-time planning from TU Berlin (1989). Research focuses on Business Process Management, Knowledge & Competence Management, Service Science, E-Commerce, and Artificial Intelligence. Notable projects include the JIRA Process Mapper (2017-2018), ISIS Papyrus Process Mining System evaluation (2008), and development of the MOVE service composition framework. His work addresses trust in digital services, service classification, and tourism planning. Publications span trust models for e-markets, semantic web technologies, and scheduling systems. He advises numerous students on topics like case-based reasoning, digital badges, and service-oriented architectures. Awards section is currently empty. Grants and collaborations include projects with Catworkx GmbH and ISIS Information Systems GmbH. Active in teaching, including a 2025S Research Seminar for Ph.D. Students.
Berry Gérard is a distinguished Professor at Collège de France, holding the Chair in Algorithms, Machines, and Languages since 2012. He previously served as Director of Research at INRIA Sophia Antipolis and Chief Scientist at Esterel Technologies. His academic journey includes roles at École des Mines de Paris and École Polytechnique. Gérard specializes in models of computation, programming language design, and synchronous systems. He has contributed significantly to the development of the Esterel language for embedded systems and formal verification techniques. Education: Docteur d’Etat in Mathematics, Université Paris VII (Computer Science option), 1979 Ingénieur des Mines, Corps National des Ingénieurs des Mines, 1970 École Polytechnique, 1967 Research Interests: Focuses on computational models (e.g., lambda-calculus, synchronous concurrency), programming languages (Esterel, Hop/HipHop), circuit synthesis, and formal verification. His recent work explores diffuse programming and web orchestration. Key Awards: 2014: Médaille d'or du CNRS 2005: Member, Académie des technologies 1993: Member, Academia Europaea 1979: Bronze Medal of CNRS Professional Roles: President of the Council of Education and Research at École Polytechnique Member of the Scientific Council of IRCAM Former President of the INRIA Evaluation Committee Labs/Teams: Active in INRIA’s Indes project on diffuse programming and collaborates with IRCAM on real-time music systems.
Dieter W. Fellner is a distinguished Professor of Computer Science at Technical University of Darmstadt, Germany, where he serves as Director of the Fraunhofer Institute of Computer Graphics (IGD). He also holds a concurrent position as Professor of Computer Science and Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. With a career spanning over three decades, Fellner has established himself as a leading figure in computer graphics, digital libraries, and related fields. Education: Diploma in Technical Mathematics, Graz (1981) Doktorate (Ph.D.) in Technical Mathematics, Graz (1984) Habilitation, Graz (1988) Professor Fellner's research spans multiple domains within computer science, with a primary focus on computer graphics and its applications. His work encompasses computational geometry, 3D modeling and rendering, virtual and augmented reality, and digital libraries with emphasis on cultural heritage preservation. He has made significant contributions to algorithms for integrating modeling and rendering processes, efficient visualization techniques, and generative modeling approaches. His research extends to practical applications in internet-based multimedia systems, where he coordinated a strategic initiative funded by the German Research Foundation that supported approximately 50 researchers across 21 groups from 1997 to 2005. An analysis of Professor Fellner's publication record reveals a consistent trajectory of innovation in computer graphics and digital document systems. His early work focused on foundational graphics algorithms and videotex systems, evolving toward more complex 3D document modeling, visualization techniques, and digital library architectures. A notable trend is his interdisciplinary approach, bridging computer graphics with applications in cultural heritage, bioinformatics, and brain-computer interfaces. His research demonstrates a progression from theoretical algorithms to practical implementations addressing real-world challenges in information visualization and knowledge management. Scientific Awards: Fellow of the Eurographics Association (2000) Member of the IST Advisory Group for the European Commission (ISTAG) (2007) Best Technical Paper Award (Günther Enderle Award) at Eurographics'98 Conference Honorary Doctorate from the University of Rostock (2019) Throughout his career, Professor Fellner has supervised numerous students and researchers, though specific names are not documented in the available sources. His leadership extends to significant grant activities, most notably coordinating the German Research Foundation's strategic initiative on distributed processing and mediation of digital documents from 1997 to 2005. This major project provided funding for approximately 50 researchers annually across 21 research groups, demonstrating his capacity to lead large-scale collaborative research efforts. He has also served on editorial boards of leading journals and program committees of international conferences, shaping the direction of research in his fields of expertise. Professor Fellner directs the Fraunhofer Institute of Computer Graphics (IGD) in Darmstadt, a prominent research institution focused on applied computer graphics. He also founded and chairs the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology. These institutions serve as hubs for interdisciplinary research, bringing together computer scientists, domain experts, and industry partners to advance the state of the art in visualization, digital libraries, and knowledge management systems. The teams under his leadership have produced influential work in 3D document processing, cultural heritage digitization, and advanced visualization techniques.
Fausto Giunchiglia is a Full Professor at the Faculty of Science, University of Trento, Italy. He has held academic positions including Associate Professor at the Faculty of Economics (1992–1999) and visiting roles at Stanford University and the University of Edinburgh. His research focuses on Social computing, Logics, Knowledge management, Artificial Intelligence, Agents, and Semantics. Education: PhD in Computer Engineering (1987, University of Genoa), Master in Computer Science (1983, University of Genoa), and Laurea in Electronic Engineering (1981, University of Genoa). Research highlights include contributions to semantic matching (S-Match algorithm), planning via model checking, and multilingual systems. Notable awards include ECCAI Fellowship (2002), AI*IA Prize (1992), and multiple innovation awards for EU projects like WeNet and WhiteRabbit. Guided over 50 students, including PhD candidates from 2024 down to 1985. Active in interdisciplinary projects addressing knowledge representation, mobile sensing, and cross-cultural AI applications.
Hermann Maurer is Full Professor of Computer Science at Graz University of Technology (since 1978), with additional roles as Honorary Visiting Professor at Danube University and Honorary Research Fellow at University of Auckland (till 2012). He has held leadership positions including Dean of Computer Science (2004-2007) and Chair of Informatics Section in Academia Europaea (2007-2012). Key Institutions: Graz University of Technology, Austria-Forum, JOANNEUM RESEARCH, Academia Europaea Academic Honors: Member of Finnish Academy of Sciences, Cross of Honour for Arts and Science (Austria), multiple honorary doctorates Research Focus: Networked Interactive Digital (NID) Books, Austria-Forum (1.1M entries), hypermedia systems, anti-monopoly digital frameworks, and societal impacts of technology. He pioneered second-generation web systems and co-founded conferences like ED-MEDIA and I-KNOW. Key Trends in Publications: Recent works emphasize NID systems, interactive encyclopedias, web reliability, and the future of digital libraries. His research spans e-learning, information integration, and combating web-based plagiarism. Scientific Awards: Honorary Doctorates (St. Petersburg, Karlsruhe, Calgary) AACE Fellowship (2003) Integrata Prize (2000) Enter Prize (1999) Advising & Grants: Supervised over 400 M.Sc. and 50 Ph.D. theses. Led multimillion-dollar projects including Hyperwave AG, COSTOC, and Austria-Forum. His work on optical storage and color-graphic microcomputers (MUPID) exemplifies technological innovation.
Guillaume Bellec is an Assistant Professor at the Machine Learning Research Unit of TU Wien (Vienna, Austria). He holds a PhD from TU Graz (2019) and completed a postdoc at EPFL's Laboratory of Computational Neuroscience. His research focuses on biologically plausible machine learning models, neuromorphic computing, and spiking neural networks. He leads the lab studying brain-inspired AI systems. Developed the Chord ai app (2M+ users) for real-time chord recognition using deep learning Recipient of Vienna Science and Technology Fund (WWTF) grant (2025-2032) for AI and Neuroscience projects Published in top venues including NeurIPS, Nature Communications, and ICLR Research interests combine machine learning theory with neuroscience principles, emphasizing energy-efficient neuromorphic systems and biologically realistic neural network models. Key contributions include spike-based learning rules (E-Prop), sparse network training (Deep Rewiring), and neuromorphic hardware integration. Teaching experience includes Machine Learning (TU Graz) and courses on computational intelligence and reinforcement learning at bachelor/master levels.
Stefan Fenz is a Senior Scientist in the E-Commerce Research Area at TU Wien's Faculty of Informatics. His research integrates artificial intelligence and semantic technologies to solve complex problems across agriculture, building engineering, and information security domains. His research focuses on: AI-driven agricultural planning including crop rotation optimization and humus enrichment Semantic technologies for energy-efficient building design and renovation using BIM E-Commerce systems and ontology-based information security compliance Recent publications (2023-2021) demonstrate a strategic shift toward sustainability applications, with AI and semantic technologies addressing critical challenges in agricultural planning and building energy efficiency. Earlier work (2016-2018) established foundational contributions in information security ontologies and cloud migration frameworks, revealing consistent expertise in transforming complex decision processes through semantic approaches. Dr. Fenz leads significant research projects including 'Artificial intelligence for crop rotation planning and humus enrichment' and 'Semantic technologies for energy-efficient building planning', indicating active grant funding from multiple institutional sources. His collaborations span the Institute for Software Engineering and Interactive Systems and the Network Lab, reflecting strong interdisciplinary engagement within TU Wien's research ecosystem.
Amirreza Tahamtan is affiliated with the Institute of Software Technology and Interactive Systems at TU Wien. His research focuses on cloud computing, business process management, workflow systems, temporal reasoning, and IT infrastructure optimization. He has contributed to developing frameworks for cloud service discovery, BPEL extensions for time management, and privacy-preserved interorganizational workflows. Key projects include the Network Lab and collaborative efforts with institutions like Rechenzentren. His work bridges theoretical advancements in workflow systems with practical applications in public sector IT integration and low-carbon supply chain management. Publications span from 2005 to 2012, emphasizing interdisciplinary approaches combining machine learning (e.g., SOM-based content analysis) with cybersecurity and neuroimaging data analysis.
Amin Anjomshoaa is a researcher affiliated with the Institut für Softwaretechnik und Interaktive Systeme at TU Wien. His work focuses on semantic web technologies, linked data integration, and energy-efficient building design optimization. He contributes to projects like SEMERGY, which applies semantic technologies to optimize building performance and refurbishment strategies. His research also explores mashup tools for big data analysis and environmental data exploration platforms. Key areas of expertise include semantic web applications, open data systems, and bridging personal web services with global business processes. He has collaborated on initiatives like Linked Widgets, aiming to lower barriers for accessing heterogeneous data sources. His contributions span academic publications (20+ since 2008) and student supervision in semantic technologies, geospatial data management, and context-aware systems.
