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 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.

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

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)
Publication: 227936
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
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
AI RAG Evaluierung
2025 – 2026 / Austrian Research Promotion Agency (FFG)

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
An Empirical Investigation of Command-Line Customization / 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
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
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
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
Specification and Operation of Privacy Models for Data Streams on the Edge / 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

Fairness in public screening models for hiring tasks : benchmarking and stress testing under distribution shifts / Loos, A. K. (2026). Fairness in public screening models for hiring tasks : benchmarking and stress testing under distribution shifts [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.135740
Download: PDF (946 KB)
Message passing on the edge : going beyond triangles / Böhm, J. (2026). Message passing on the edge : going beyond triangles [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.137416
Download: PDF (526 KB)
Visualization of symbol-level code changes across version control history / Mategka, A. (2026). Visualization of symbol-level code changes across version control history [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.139575
Download: PDF (3.46 MB)
Design and valuation of a digital gamified learning platform for 3D software education / Jakubowicz-Schroll, D. P. (2026). Design and valuation of a digital gamified learning platform for 3D software education [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.133207
Download: PDF (3.4 MB)
IoT device fingerprinting using ESP32 system-on-chip / Hysi, S. (2026). IoT device fingerprinting using ESP32 system-on-chip [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.139560
Download: PDF (1.95 MB)
Machine learning for quantum many-body physics : efficient representation of vertex functions / Hepp, S. (2026). Machine learning for quantum many-body physics : efficient representation of vertex functions [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.128261
Download: PDF (2.03 MB)
A fair multi-stakeholder job market recommender leveraging personality / Hecht, S. G. (2026). A fair multi-stakeholder job market recommender leveraging personality [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.80420
Download: PDF (6.69 MB)
Aggregation techniques in federated learning under differential privacy constraints / Dasovic, I. (2026). Aggregation techniques in federated learning under differential privacy constraints [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.131806
Download: PDF (3.75 MB)
Accessibility in model engineering : large model comprehension and auditory conversational agents / Mischak, M. (2026). Accessibility in model engineering : large model comprehension and auditory conversational agents [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.124560
Download: PDF (1.84 MB)
Optimizing distributed LLM inference for heterogeneous workers through dynamic graph partitioning / Kitzberger, G. (2026). Optimizing distributed LLM inference for heterogeneous workers through dynamic graph partitioning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.138984
Download: PDF (1.29 MB)
An architecture for web-based distributed LLM inference / Kitzberger, G. (2026). An architecture for web-based distributed LLM inference [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.138985
Download: PDF (1.41 MB)
Cross-blockchain data storage / Sederl, J. (2026). Cross-blockchain data storage [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.76200
Download: PDF (2.85 MB)
Evaluating the impact of faults on the quality of service of edge-cloud applications / Sepin, S. (2026). Evaluating the impact of faults on the quality of service of edge-cloud applications [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.133116
Download: PDF (5.94 MB)
An active conflict awareness visualization for collaborative software development / Mörbauer, T. (2026). An active conflict awareness visualization for collaborative software development [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.140094
Download: PDF (3.73 MB)
A mind-driven VR serious game : design, implementation, and evaluation of a BCI-controlled application based on motor imagery in virtual reality for therapeutic use in ADHD patients / Röhrling, L. (2026). A mind-driven VR serious game : design, implementation, and evaluation of a BCI-controlled application based on motor imagery in virtual reality for therapeutic use in ADHD patients [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.140306
Download: PDF (11.7 MB)
Agentic bayesian inference debugging / Nussbaumer, N. (2026). Agentic bayesian inference debugging [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.137244
Download: PDF (2.94 MB)
Bias in medical recommendations : prompting vs. fine-tuning of large language models / Pavlovic, D. (2026). Bias in medical recommendations : prompting vs. fine-tuning of large language models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.131812
Download: PDF (1.12 MB)
Efficient constraint validation using formal methods in combinatorial testing / Wagner, M. (2026). Efficient constraint validation using formal methods in combinatorial testing [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.127625
Download: PDF (6.62 MB)
Understanding DeFi yield aggregators : protocol mechanisms and transaction network structures / Zarinehbaf Asadi, K. (2026). Understanding DeFi yield aggregators : protocol mechanisms and transaction network structures [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.130390
Download: PDF (7.83 MB)
Evaluating loss function design for SAR-to-optical image translation using GANs / Wagner, D. (2026). Evaluating loss function design for SAR-to-optical image translation using GANs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.123201
Download: PDF (2.04 MB)

Recent Awards

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
Schahram Dustdar: EAI Fellow
2021 / EAI / Belgium / Website
Schahram Dustdar: IEEE TCI 2021 Distinguished Service Award
2021 / IEEE Technical Committee on the Internet / USA / Website
Schahram Dustdar: I2CICC Fellow for Contributions to Cognitive Informatics, Cognitive Computing, and General AI
2021 / I2CICC, University of Calgary, Canada / Canada / Website

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