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
Six of the faculty’s twenty-four 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: Henderik Proper -
Data Science
E194-04 / Head: Allan Hanbury -
Compilers and Languages
E194-05 / Head: Jens Knoop -
Machine Learning
E194-06 / Head: Thomas Gärtner
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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Types4Strings: Types for Strings
2024 – 2027 / Austrian Science Fund (FWF) -
Operational data-driven SOH estimation and prediction for maritime battery system
2024 – 2025 / AVL List GmbH -
Intent-based data operation in the computing continuum
2024 – 2026 / European Commission
Publications: 195922 / 199889 / 201667 / 203889 / 204055 / 204350 / 208695 / 208717 / 208559 / 208718 / 208042 / 209928 / 209929 / 211104 / 211528 / 211167 / 213464 / 213934 -
Cloud Open Source Research Mobility Network
2023 – 2026 / European Commission -
Trustworthy, Energy-Aware federated DAta Lakes along the Computing Continuum
2022 – 2025 / European Commission
Publications: 177474 / 189351 / 189044 / 189016 / 189544 / 190613 / 194409 / 195539 / 195922 / 195912 / 195917 / 195920 / 195914 / 195925 / 195916 / 196065 / 204916 / 196508 / 198064 / 200891 / 199515 / 201676 / 201665 / 204057 / 208695 / 208717 / 208718 / 208042 / 210205 / 210201 / 209777 / 211104 / 211007 / 212574 / 213464 / 213939 -
OPC UA Rule Editor 2.0
2022 / Siemens AG -
OPC UA Rule Editor
2021 / Siemens AG
Publication: 190612 -
fAIr by design – solutions for discrimination reduction in AI de-velopment
2021 – 2024 / Austrian Research Promotion Agency (FFG) -
EGI Advanced Computing for EOSC
2021 – 2023 / European Commission -
Blockchain Technologies for the Internet of Things
2020 – 2022 / Federal Ministry of Science, Research and Economy (bm:wfw)
Publications: 137780 / 137781 / 176500 / 58438 / 58439 / 58542 / 58788 -
What Can You Trust in the Large and Noisy Web?
2020 – 2022 / No funding agency -
Protecting Sensitive Data in the Computing Continuum
2020 – 2022 / European Commission
Publications: 136154 / 136519 / 137920 / 201665 / 58446 / 58486 / 58540 / 58547 / 58572 / 58800 / 80255 / 101798 -
An open, trusted fog computing platform facilitating the deployment, orchestration and management of scalable, heterogeneous and secure IOT services and cross-cloud apps
2020 – 2022 / European Commission
Publications: 177093 / 177092 / 190652 / 201904 / 201905 / 58534 / 87224 -
STARCloud
2019 – 2021 / European Commission -
WellFort
2019 – 2022 / Austrian Research Promotion Agency (FFG) -
Visual History of the Holocaust: Rethinking Curation in the Digital Age
2019 – 2023 / European Commission
Publications: 150286 / 150288 / 150284 / 153859 / 192539 -
Vienna Informatics Living Lab
2018 – 2019 / Vienna Business Agency (WAW) -
Semantic Processing of Security Event Streams
2018 – 2021 / Austrian Science Fund (FWF) -
Fog Computing for Robotics and Industrial Automation
2017 – 2021 / European Commission
Publications: 136158 / 139840 / 137443 / 137466 / 137780 / 137941 / 143170 / 171624 / 191627 / 176484 / 191190 / 191629 / 20570 / 30294 / 55618 / 57788 / 57790 / 57792 / 57797 / 57800 / 57807 / 57808 / 57809 / 57834 / 57945 / 58189 / 58190 / 58197 / 58200 / 58220 / 58248 / 58344 / 58447 / 58500 / 58501 / 58503 / 58504 / 58505 / 58647 / 78072 / 80362 -
openEO - a common, open source interface between Earth Observation data infrastructures and front-end applications
2017 – 2020 / European Commission
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
- 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
- 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
- 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. ACM. https://doi.org/10.1145/3498366.3505791
- 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) - 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
- 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
- A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation / Landauer, M., Frank, M., Skopik, F., Wurzenberger, M., & Rauber, A. (2022). A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation. In Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems. ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, Baltimore, MD, United States of America (the). https://doi.org/10.1145/3510547.3517924
- Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation / Landauer, M., Skopik, F., Wurzenberger, M., & Rauber, A. (2022). Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation. ACM Transactions on Privacy and Security, 25(3), 1–36. https://doi.org/10.1145/3510581
- Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis / Ekaputra, F. J., Ekelhart, A., Mayer, R., Miksa, T., Šarčević, T., Tsepelakis, S., & Waltersdorfer, L. (2022). Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis. Semantic Web: Interoperability, Usability, Applicability, 1–34. https://doi.org/10.3233/sw-212883
Recent Theses
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Combinatorial Design Theory and Applications for Software Testing
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Kampel, L. (2025). Combinatorial Design Theory and Applications for Software Testing [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.131527
Download: PDF (5.7 MB) -
Model-Driven Techniques for Integrating Data Engineering into Systems Engineering
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Rädler, S. (2025). Model-Driven Techniques for Integrating Data Engineering into Systems Engineering [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.131528
Download: PDF (6.07 MB) -
Time Series Prediction with Attention-Based Transformer Models
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Kund-Leitner, A. (2025). Time Series Prediction with Attention-Based Transformer Models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.114552
Download: PDF (2 MB) -
Explainable Prediction of User Post Popularity: An Analysis of the One Million Posts Corpus
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Bogenreiter, D. (2025). Explainable Prediction of User Post Popularity: An Analysis of the One Million Posts Corpus [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.122385
Download: PDF (2.51 MB) -
Evasion Resilience in Variational Bottleneck Injected Deep Neural Networks
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Szabó, P. (2025). Evasion Resilience in Variational Bottleneck Injected Deep Neural Networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.124403
Download: PDF (2.43 MB) -
Software testing and test environment simulation in the cloud - A case study on open-source IaC and CI/CD technologies
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Halilcevic, E. (2025). Software testing and test environment simulation in the cloud - A case study on open-source IaC and CI/CD technologies [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.127221
Download: PDF (1.25 MB) -
Delta Debugging for CUE Configurations
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Bointner, M. (2025). Delta Debugging for CUE Configurations [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.117024
Download: PDF (970 KB) -
Navigating the MBSE Transition: A Meta-Synthesis Challenges, Pitfalls, and Best Practices in Real-World Adoption
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Henöckl, T. (2025). Navigating the MBSE Transition: A Meta-Synthesis Challenges, Pitfalls, and Best Practices in Real-World Adoption [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.118234
Download: PDF (3.49 MB) -
Comprehensive visualizations for the historical analysis of issue tracking systems in software engineering education
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Lupinek, M. (2025). Comprehensive visualizations for the historical analysis of issue tracking systems in software engineering education [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.127861
Download: PDF (5.57 MB) -
A Multi Objective Discrete Particle Swarm Optimization Algorithm for Mobile Offloading
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Leitzinger, L. (2025). A Multi Objective Discrete Particle Swarm Optimization Algorithm for Mobile Offloading [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.92761
Download: PDF (1.55 MB) -
Transforming Text into Motion: Fundamentals of Diffusion Transformers for Text-to-Video Generation
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Halbeisen, C. (2025). Transforming Text into Motion: Fundamentals of Diffusion Transformers for Text-to-Video Generation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126680
Download: PDF (2.06 MB) -
Scheduling and Controlling Smart Micro Grids / Energy Communities as Kubernetes First-Class Citizens
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Podlipnig, S. L. (2025). Scheduling and Controlling Smart Micro Grids / Energy Communities as Kubernetes First-Class Citizens [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.105563
Download: PDF (5.36 MB) -
Classification of vehicles based on audio data
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Schönfelder, B. (2025). Classification of vehicles based on audio data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.129623
Download: PDF (2.68 MB) -
A Registry and Benchmarking Tool for Lossy Neural Image Compression
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Ferrari, D. (2025). A Registry and Benchmarking Tool for Lossy Neural Image Compression [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.124401
Download: PDF (2.7 MB) -
Serverless edge computing for industrial processes
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Scherer, D. (2025). Serverless edge computing for industrial processes [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.127177
Download: PDF (1.43 MB) -
Towards Resource Efficient Code Generation through Dynamic Early Exits in LLMs
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Briem, L. F. (2025). Towards Resource Efficient Code Generation through Dynamic Early Exits in LLMs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.127160
Download: PDF (3.19 MB) -
Static Grammar Inference for Ad Hoc Java Parsers
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Hofbauer, S. (2025). Static Grammar Inference for Ad Hoc Java Parsers [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.122024
Download: PDF (676 KB) - Predicting Bugs in Source Code. A Machine Learning Approach for Predicting Faults by utilizing Code & Change Metrics / Felder, J. (2025). Predicting Bugs in Source Code. A Machine Learning Approach for Predicting Faults by utilizing Code & Change Metrics [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.124198
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Open Information Extraction from German legal text
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Iszak, Z. (2025). Open Information Extraction from German legal text [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126169
Download: PDF (1.35 MB) -
Evaluating Reinforcement-Learning-based Sepsis Treatments via Tabular and Continuous Stationary Distribution Correction Estimation
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Weiss, R. (2025). Evaluating Reinforcement-Learning-based Sepsis Treatments via Tabular and Continuous Stationary Distribution Correction Estimation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126219
Download: PDF (4.72 MB)
Recent Awards
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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 -
Dominik Bork:
Best Reviewer Award for the SoSyM Journal 2024
2025 / Software and Systems Modeling Journal / USA -
Ivona Brandic:
Best Paper Award at the premier annual conference on Utility and Cloud Computing, 16th IEEE/ACM UCC
2023 / UCC 2023 / USA -
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 -
Schahram Dustdar:
Honorary Professor
2023 / Nanjing University of Science and Technology / China -
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 -
Nikolas Popper:
Österreicher des Jahres, Bereich Forschung
2021 / Österreicher:innen des Jahres / Austria / Website -
Schahram Dustdar:
Francqui Chair Professor at University of Namur
2021 / Belgium / Website -
Schahram Dustdar:
Asia-Pacific Artificial Intelligence Association (AAIA) President (2021-2023)
2021 / China -
Nikolas Popper:
Gerhart-Bruckmann-Preis 2021
2021 / Gerhart-Bruckmann-Preis / Austria / Website -
Schahram Dustdar:
Asia-Pacific Artificial Intelligence Association (AAIA) Fellow
2021 / China / Website -
Schahram Dustdar:
Research Excellence Award for delivering a keynote at the 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021
2021 / CCGrid 2021 General Chair Prof. Rajkumar Buyya / Australia -
Schahram Dustdar:
Best Paper Award: Aslanpour M. S., Toosi A. N., Cicconetti C., Javadi B., Sbarski P., Taibi D., Assuncao M., Gill S. S., Gaire R., Dustdar S. (2021). Serverless Edge Computing: Vision and Challenges. 19th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2021), February 1-5, 2021, (Dunedin, New Zealand) online because of COVID-19 (Coronavirus)
2021 / Australia -
Schahram Dustdar:
ACM Distinguished Speaker
2020 / USA / Website