Information Systems Engineering
Information Systems Engineering provides foundational and advanced techniques, algorithms, design and engineering approaches to model complete lifecycles of data-intensive and distributed information systems.
Contact
- Schahram Dustdar, Coordinator
Research Topics
- Compilers, Languages, and Middleware Engineering
- Programming Systems and Tools
- Distributed Systems
- High Performance Computing
- Data Analytics and Machine Learning
- Business Informatics
- E-commerce
- Informatics Didactics
About
Information Systems Engineering provides foundational and advanced techniques, algorithms, design and engineering approaches to model complete lifecycles of data-intensive and distributed information systems.
Information systems play a crucial role in many forms of organizations, and act as a facilitator and enabler for the digitalization of personal and social spaces. As such, information systems became the underlying “operating system” of our society.
Typical activities in the lifecycle of information systems are fundamental requirements elicitation as well as analysis and design of systems, their implementation, as well as subsequent execution and maintenance activities. Importantly, information systems engineering is not limited to technologies and methodological approaches, but comprises technical solutions as well as social and business-related implications of information systems. Therefore, information systems engineering can also act as an interface between computer science and other research disciplines (technical and non-technical) as well as business related activities.
Research Units
Seven of the faculty’s twenty-seven research units are primarily focused on topics related to Information Systems Engineering. Visit their pages to learn about current projects, publications, courses, and the people involved.
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Software Engineering
E194-01 / Head: Maria Christakis -
Distributed Systems
E194-02 / Head: Schahram Dustdar -
Business Informatics
E194-03 / Head: Dominik Bork -
Data Science
E194-04 / Head: Allan Hanbury -
Compilers and Languages
E194-05 / Head: M. Anton Ertl -
Machine Learning
E194-06 / Head: Thomas Gärtner -
Data Management
E194-07 / Head: Katja Hose
Below is a small selection of recent research activities related to Information Systems Engineering. To learn more, visit the pages of the research units listed above.
Recent Projects
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Using Large Language Models for Model-driven Software Engineering
2026 – 2027 / SparxSystems Software GmbH -
ElasticRAN-AI: Elastic SLO-Aware Processing in Generic gNodeB Architectures Based on Distributed and Compound AI
2026 – 2028 / Huawei Technologies Sweden AB -
Metamorphic Validation of the Move Toolchain
2026 – 2027 / Sui Foundation -
Evaluating Verbatim RAG for Hallucination-Free Question Answering on Handball Rules and Regulations
2026 / Datenkraftwerk GmbH -
Complexity Science Hub Digital Innovation School 2
2026 – 2031 / Bundesministerium für Bildung, Wissenschaft und Forschung -
Quantum critical correlations and non-local interactions
2026 – 2030 / Austrian Science Fund (FWF) -
Multi-Player Artificial Intelligence
2026 – 2032 / Vienna Science and Technology Fund (WWTF) -
From Structures to Vectors: Decoding How Knowledge Graph Characteristics Shape Embedding Strategies
2026 – 2029 / Vienna Science and Technology Fund (WWTF)
Publications: 227936 / 230674 / 230838 -
Securing Agentic AI in Software Engineering Tasks: Attack Surfaces, Threat Models, and Defenses
2026 – 2027 / Austrian Exchange Service (OeAD) -
Automated Detection and Warning System Against Fraudulent Trading and Cybercrime Harms
2026 – 2027 / Austrian Research Promotion Agency (FFG) -
Aztec Award (joint with Diligence Security) for detecting soundness and completeness bugs in the Noir zero-knowledge pipeline
2025 – 2028 / Diligence Security Inc -
Data Engineering and Artificial Intelligence
2025 – 2031 / European Commission -
Autonomus system for room and surface desinfection
2025 – 2028 / Braincon Handels GmbH -
Facilitating Large Language Models for Smart GLSP-based Modeling
2025 – 2028 / Austrian Research Promotion Agency (FFG)
Publications: 230275 / 230173 -
Systematic Testing of zkVMs
2025 – 2027 / Ethereum Foundation
Publication: 231627 -
Biografie-Maschine
2025 – 2026 / Magistrat der Stadt Wien MA 9 Wienbibliothek im Rathaus -
Enterprise Architecture Knowledge Graph for Learning and Exploration
2025 – 2028 / Austrian Research Promotion Agency (FFG)
Publication: 230173 -
AI-based Explainable Planning for Energy-Efficient Train Resource Scheduling
2025 – 2027 / Austrian Research Promotion Agency (FFG) -
EPU Project on Establishing and Enhancing the Alignment of Research Data Management Practices
2025 – 2026 / Austrian Exchange Service (OeAD) -
Design-Studie und Erfahrungs-Pilot zur Kritikalität
von ML & LLM Support im Spital
bei der intramuralen Interaktion mit der ePA
2025 – 2026 / Dierks+Company Consulting GmbH
Recent Publications
- A Metric for Assessing, Comparing, and Predicting the Performance of Autonomous RFID-Based Inventory Robots for Retail / Gaston, B., Casamayor Pujol, V., Lopez-Soriano, S., & Pous, R. (2022). A Metric for Assessing, Comparing, and Predicting the Performance of Autonomous RFID-Based Inventory Robots for Retail. IEEE Transactions on Industrial Electronics, 69(10), 10354–10362. https://doi.org/10.1109/tie.2021.3128917
- AI for next generation computing: Emerging trends and future directions / Gill, S. S., Xu, M., Ottaviani, C., Patros, P., Bahsoon, R., Shaghaghi, A., Golec, M., Stankovski, V., Wu, H., Abraham, A., Singh, M., Mehta, H., Ghosh, S. K., Baker, T., Parlikad, A. K., Lutfiyya, H., Kanhere, S. S., Sakellariou, R., Dustdar, S., … Uhlig, S. (2022). AI for next generation computing: Emerging trends and future directions. Internet of Things, 19, 100514. https://doi.org/10.1016/j.iot.2022.100514
- Towards Interoperable Metamodeling Platforms: The Case of Bridging ADOxx and EMF / Bork, D., Anagnostou, K., & Wimmer, M. (2022). Towards Interoperable Metamodeling Platforms: The Case of Bridging ADOxx and EMF. In X. Franch, G. Poels, F. Gailly, & M. Snoeck (Eds.), Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings (pp. 479–497). Springer Cham. https://doi.org/10.1007/978-3-031-07472-1_28
- Review of Automated Vulnerability Analysis of Smart Contracts on Ethereum / Rameder, H., di Angelo, M., & Salzer, G. (2022). Review of Automated Vulnerability Analysis of Smart Contracts on Ethereum. Frontiers in Blockchain, 5. https://doi.org/10.3389/fbloc.2022.814977
- Secured Wireless Energy Transfer for the Internet of Everything in Ambient Intelligent Environments / Sah, D. K., Poongodi, M., Donta, P. K., Hamdi, M., Cengiz, K., Kamruzzaman, M. M., & Rauf, H. T. (2022, March). Secured Wireless Energy Transfer for the Internet of Everything in Ambient Intelligent Environments. IEEE Internet of Things Magazine, 5(1), 62–66. https://doi.org/10.1109/iotm.001.2100116
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An Empirical Investigation of Command-Line Customization
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Schröder, M., & Cito, J. (2022). An Empirical Investigation of Command-Line Customization. Empirical Software Engineering, 27(2), Article 30. https://doi.org/10.1007/s10664-021-10036-y
Download: PDF (1.85 MB) - A Simple Solution to Locate Groups of Items in Large Retail Stores Using an RFID Robot / Casamayor Pujol, V., Gaston, B., Lopez-Soriano, S., Alajami, A. A., & Pous, R. (2022). A Simple Solution to Locate Groups of Items in Large Retail Stores Using an RFID Robot. IEEE Transactions on Industrial Informatics, 18(2), 767–775. https://doi.org/10.1109/tii.2021.3080670
- Learning to Dispatch Multi-Server Jobs in Bipartite Graphs with Unknown Service Rates / Zhao, H., Deng, S., Chen, F., Yin, J., Dustdar, S., & Zomaya, A. Y. (2022). Learning to Dispatch Multi-Server Jobs in Bipartite Graphs with Unknown Service Rates. arXiv. https://doi.org/10.48550/arXiv.2204.04371
- LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis / Schedl, M., Brandl, S., Lesota, O., Parada-Cabaleiro, E., Penz, D., & Rekabsaz, N. (2022). LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. In ACM SIGIR Conference on Human Information Interaction and Retrieval. CHIIR ’22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany. ACM. https://doi.org/10.1145/3498366.3505791
- Roadmap for Edge AI: A Dagstuhl Perspective / Ding, A. Y., Peltonen, E., Meuser, T., Aral, A., Becker, C., Dustdar, S., Hiessl, T., Kranzlmüller, D., Liyanage, M., Maghsudi, S., Mohan, N., Ott, J., Rellermeyer, J. S., Schulte, S., Schulzrinne, H., Solmaz, G., Tarkoma, S., Varghese, B., & Wolf, L. (2022). Roadmap for Edge AI: A Dagstuhl Perspective. ACM SIGCOMM Computer Communication Review, 52(1), 28–33. https://doi.org/10.1145/3523230.3523235
- Dependent Function Embedding for Distributed Serverless Edge Computing / Deng, S., Zhao, H., Xiang, Z., Zhang, C., Jiang, R., Li, Y., Yin, J., Dustdar, S., & Zomaya, A. Y. (2022). Dependent Function Embedding for Distributed Serverless Edge Computing. IEEE Transactions on Parallel and Distributed Systems, 33(10), 2346–2357. https://doi.org/10.1109/tpds.2021.3137380
- Darwin-S: A Reference Software Architecture for Brain-Inspired Computers / Deng, S., Lv, P., Jin, O., Dustdar, S., Li, Y., Ma, D., Wu, Z., & Pan, G. (2022). Darwin-S: A Reference Software Architecture for Brain-Inspired Computers. Computer, 55(5), 51–63. https://doi.org/10.1109/mc.2022.3144397
- Secure and Efficient Decentralized Federated Learning with Data Representation Protection / Qin, Z., Deng, S., Yan, X., Dustdar, S., & Zomaya, A. Y. (2022). Secure and Efficient Decentralized Federated Learning with Data Representation Protection. arXiv. https://doi.org/10.48550/arXiv.2205.10568
- Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration / Kokkonen, H., Loven, L., Hossein Motlagh, N., Partala, J., Gonzalez-Gil, A., Sola, E., Angulo, I., Liyanage, M., Leppänen, T., Nguyen, T., Kostakos, P., Bennis, M., Tarkoma, S., Dustdar, S., Pirttikangas, S., & Riekki, J. (2022). Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration. arXiv. https://doi.org/10.48550/arXiv.2205.01423
- Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware / Sudharsan, B., Sundaram, D., Patel, P., Breslin, J. G., Ali, M. I., Dustdar, S., Zomaya, A., & Ranjan, R. (2022). Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware. arXiv. https://doi.org/10.48550/arXiv.2204.10183
- AI for Next Generation Computing: Emerging Trends and Future Directions / Gill, S. S., Xu, M., Ottaviani, C., Patros, P., Bahsoon, R., Shaghaghi, A., Golec, M., Stankovski, V., Wu, H., Abraham, A., Singh, M., Mehta, H., Ghosh, S. K., Baker, T., Parlikad, A. K., Lutfiyya, H., Kanhere, S. S., Sakellariou, R., Dustdar, S., … Uhlig, S. (2022). AI for Next Generation Computing: Emerging Trends and Future Directions. arXiv. https://doi.org/10.48550/arXiv.2203.04159
- High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation / Bartelucci, N., Bellavista, P., Pusztai, T., Morichetta, A., & Dustdar, S. (2022). High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation. In L. Mashayekhy, S. Schulte, V. Cardellini, B. Kantarci, Y. Simmhan, & B. Varghese (Eds.), 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC). IEEE. https://doi.org/10.1109/icfec54809.2022.00017
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Specification and Operation of Privacy Models for Data Streams on the Edge
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Sedlak, B., Murturi, I., & Dustdar, S. (2022). Specification and Operation of Privacy Models for Data Streams on the Edge. In L. Mashayekhy, S. Schulte, V. Cardellini, B. Kantarci, Y. Simmhan, & B. Varghese (Eds.), 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC). IEEE. https://doi.org/10.1109/icfec54809.2022.00018
Project: FogProtect (2020–2022) - Quantum Enabled Continuum Enterprise Computing / Dustdar, S. (2022). Quantum Enabled Continuum Enterprise Computing. 2nd SCORE Workshop: Quantum Computing, Sevilla, Spain. http://hdl.handle.net/20.500.12708/87322
- DT4GITM - A Vision for a Framework for Digital Twin enabled IT Governance / Poels, G., Proper, H. A., & Bork, D. (2022). DT4GITM - A Vision for a Framework for Digital Twin enabled IT Governance. In 55th Hawaii International Conference on System Sciences (HICSS´22) (pp. 6626–6635). AIS. http://hdl.handle.net/20.500.12708/58520
Recent Theses
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Towards Quality Assurance in Data Analytics through LLM-Enhanced Provenance Documentation
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Kuchinka, L. M. (2026). Towards Quality Assurance in Data Analytics through LLM-Enhanced Provenance Documentation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.138950
Download: PDF (4.71 MB) -
Graph-Based Multi-Agent Reinforcement Learning on the Dynamic and Flexible Job-Shop Scheduling Problem
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Mazanek, D. (2026). Graph-Based Multi-Agent Reinforcement Learning on the Dynamic and Flexible Job-Shop Scheduling Problem [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.131885
Download: PDF (2.77 MB) -
Creation, Manipulation, and Interaction with BPMN Models in Augmented Reality
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Svoboda, A. (2026). Creation, Manipulation, and Interaction with BPMN Models in Augmented Reality [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.136850
Download: PDF (1.93 MB) -
Requirements-Driven Tests for Cognitive Architectures: AERA as a Case Study
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Pfeil, M. (2026). Requirements-Driven Tests for Cognitive Architectures: AERA as a Case Study [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.136381
Download: PDF (667 KB) - Finding Vulnerabilities in a MIPS-Based Zero-Knowledge Virtual Machine with Fuzzing and Fault injection / Möller, M. (2026). Finding Vulnerabilities in a MIPS-Based Zero-Knowledge Virtual Machine with Fuzzing and Fault injection [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.142692
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Encoding Strategies and Explainability in Transformer-Based Malware Family Classification
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Klauser, L. (2026). Encoding Strategies and Explainability in Transformer-Based Malware Family Classification [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.138920
Download: PDF (2.56 MB) -
Record Linkage Using Metagenomic Microbiome Profiles
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Wu, L. I. (2026). Record Linkage Using Metagenomic Microbiome Profiles [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.137267
Download: PDF (1.49 MB) -
Efficient end-to-end brain-to-text decoding via neural pretraining
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Roth, S. (2026). Efficient end-to-end brain-to-text decoding via neural pretraining [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.141781
Download: PDF (1.29 MB) -
EdgeSync : local-first inference for LLMs in edge-cloud environments
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Kurz, M. (2026). EdgeSync : local-first inference for LLMs in edge-cloud environments [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.127302
Download: PDF (1 MB) -
Designing cloud applications for compatibility : a case study on kubernetes and OpenShift
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Esberger, M. (2026). Designing cloud applications for compatibility : a case study on kubernetes and OpenShift [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.123042
Download: PDF (923 KB) -
The impact of using large language models on the performance of conversational recommender systems
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Schmiedmayer, M. (2026). The impact of using large language models on the performance of conversational recommender systems [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.118745
Download: PDF (2.04 MB) -
Quality driven request routing and adaptive monitoring for services over the computing continuum
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Karanovic, I. (2026). Quality driven request routing and adaptive monitoring for services over the computing continuum [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.131407
Download: PDF (1.25 MB) -
Design, Prototyping and Evaluation of a System for 3D Motion Analysis in Combat Sports Using Multiple 2D Camera Perspectives
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Bichler, E. (2026). Design, Prototyping and Evaluation of a System for 3D Motion Analysis in Combat Sports Using Multiple 2D Camera Perspectives [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.145015
Download: PDF (8.25 MB) -
Complex Systems of Coordination: Mobility, Economic Networks, and Al
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Daniotti, S. (2026). Complex Systems of Coordination: Mobility, Economic Networks, and Al [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.145061
Download: PDF (9.44 MB) -
Evaluation the state of common data environment software for BIM projects
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Winterleitner, F. (2026). Evaluation the state of common data environment software for BIM projects [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.103110
Download: PDF (1.6 MB) -
Evaluating extraction-based RAG : a systematic assessment of VerbatimRAG on the CLAPNQ benchmark
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Kunerth, P. (2026). Evaluating extraction-based RAG : a systematic assessment of VerbatimRAG on the CLAPNQ benchmark [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.140323
Download: PDF (804 KB) -
Real-time prevention of factual hallucinations in retrieval-augmented generation
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Beccard, L. (2026). Real-time prevention of factual hallucinations in retrieval-augmented generation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.137481
Download: PDF (1.38 MB) -
Advancing radiotherapy with AI-driven outlier detection
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Sperlich, R. (2026). Advancing radiotherapy with AI-driven outlier detection [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.137423
Download: PDF (2.14 MB) -
Federated learning in edge computing settings in medical domain
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Melnychyn, O. (2026). Federated learning in edge computing settings in medical domain [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.129963
Download: PDF (2.63 MB) -
Spike sorting of brain signals with deep learning
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Kravchenko, O. (2026). Spike sorting of brain signals with deep learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.134564
Download: PDF (1.54 MB)
Recent Awards
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Milosh Jovanovikj:
Best Student Research Paper Award
2026 / Research and Innovation Track at SEMANTiCS 2026 / Belgium / Website -
Katja Hose:
Distinguished Associate Editor Award
2026 / VLDB Journal / USA / Website -
Katja Hose:
Distinguished Associate Editor Award
2026 / PVLDB/VLDB 2026 / USA / Website -
Katja Hose:
Best Paper Award
2025 / European Conference on Advances in Databases and Information Systems (ADBIS) 2025 / Finland / Website -
Katja Hose:
Distinguished Associate Editor Award
2025 / PVLDB/VLDB 2025 / UK / Website -
Katja Hose:
ACM Senior Membership
2025 / ACM / USA / Website -
Schahram Dustdar:
Paper “Exploring the Potential of Distributed Computing Continuum Systems” (authors: Praveen Kumar Donta, Ilir Murturi, Victor Casamayor Pujol, Boris Sedlak, Schahram Dustdar), featured in a special edition of Computers entitled “Editor’s Choice Articles”
2025 / MDPI Computers / Switzerland -
Schahram Dustdar:
2024 Highly Ranked Scholar by ScholarGPS: Place in the top 0.05% of all scholars worldwide
2025 / ScholarGPS / USA -
Schahram Dustdar:
WILEY Top Viewed Article in Software: Practice and Experience: Raith P., Rausch T., Furutanpey A., Dustdar S. (2023) “faas-sim: A trace-driven simulation framework for serverless edge computing platforms” (Among work published in Software: Practice and Experience between January 1 - December 31, 2023, up to 12 months after publication)
2025 / USA -
Katja Hose:
Distinguished Meta-Reviewer Award
2025 / EDBT/ICDT 2025 Joint Conference / Spain / Website -
Dominik Bork:
Best Reviewer Award for the SoSyM Journal 2024
2025 / Software and Systems Modeling Journal / USA -
Katja Hose:
Manfred Paul Award - Extraction of Validating Shapes from very large Knowledge Graphs (VLDB 2023)
2024 / International Federation for Information Processing (IFIP) / Germany / Website -
Schahram Dustdar:
President
2024 / International Artificial Intelligence Industry Alliance (AIIA) / China -
Dominik Bork:
Eclipse Cloud DevTools Contributor Award
2023 / Eclipse Foundation / USA -
Dominik Bork:
Best Student Paper Award at EDOC 2023
2023 / 27th International EDOC Conference / Netherlands -
Katja Hose:
Best Demo Award - GLENDA: Querying over RDF Archives with SPARQL
2023 / European Semantic Web Conference (ESWC) 2023 / Greece / Website -
Katja Hose:
Best Paper Award - Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus
2023 / International Workshop on Natural Language Processing for Knowledge Graph Creation (NLP4KGC) 2023 / USA / Website -
Dominik Bork:
Best Reviewer Award for the SoSyM Journal 2022
2023 / Software and Systems Modeling Journal / USA -
Dominik Bork:
Best Reviewer Award at the Modellierung 2022
2022 / Modellierung 2022 Conference Committee / Germany -
Dominik Bork:
Best Reviewer Award for the SoSyM Journal 2021
2022 / Software and Systems Modeling Journal / USA