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

Six of the faculty’s twenty-five 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

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 / 216047 / 216048 / 216051
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 / 214607 / 216046 / 216051 / 216533
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
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
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
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
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)
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

Recent Theses

Encoding Semantic Information in Conceptual Models for Machine Learning Applications / Glaser, P.-L. (2025). Encoding Semantic Information in Conceptual Models for Machine Learning Applications [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.119285
Download: PDF (2.6 MB)
Rethinking Adversarial Examples / Jabary, Y. (2025). Rethinking Adversarial Examples [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.124993
Download: PDF (3.41 MB)
Adaptive Foreign Exchange Hedging Strategies Using Deep Reinforcement Learning / Raguz, B. (2025). Adaptive Foreign Exchange Hedging Strategies Using Deep Reinforcement Learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.121287
Download: PDF (890 KB)
Open Information Extraction for Fact-Checking Large Language Models / Osmanaj, I. (2025). Open Information Extraction for Fact-Checking Large Language Models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.130140
Download: PDF (852 KB)
Symbolic Natural Language Inference for German Open Information Extraction / Ristic, K. (2025). Symbolic Natural Language Inference for German Open Information Extraction [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.130460
Download: PDF (1 MB)
A Model Driven Architecture Transformation from Ontological Enterprise Models to Low-code / Bzowski, N. A. (2025). A Model Driven Architecture Transformation from Ontological Enterprise Models to Low-code [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.120447
Download: PDF (3.72 MB)
Choice-based Preference Elicitation to Reduce the Cold Start Problem of a Leisure Activities Recommender in a Mobile App / Fink, A. (2025). Choice-based Preference Elicitation to Reduce the Cold Start Problem of a Leisure Activities Recommender in a Mobile App [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.121861
Download: PDF (4.38 MB)
Analysis of (Multi-)Fault Injection(s) causing memory leaks on modern RISC-V Microcontrollers / Hofmann, J. (2025). Analysis of (Multi-)Fault Injection(s) causing memory leaks on modern RISC-V Microcontrollers [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.131222
Download: PDF (8.81 MB)
An Exploratory Study of Ad Hoc Parsers in Python / Olschnögger, A. (2025). An Exploratory Study of Ad Hoc Parsers in Python [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.110265
Download: PDF (2.24 MB)
Automating Software and Vulnerability Testing in REST APIs with Large Language Models / Strauß, D. (2025). Automating Software and Vulnerability Testing in REST APIs with Large Language Models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.130124
Download: PDF (2.2 MB)
Semi-supervised federated learning based intrusion detection in a heterogeneous Industrial IoT setting / Rieser, D. (2025). Semi-supervised federated learning based intrusion detection in a heterogeneous Industrial IoT setting [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.127971
Download: PDF (1.62 MB)
Integrating causal discovery and machine learning for enhanced financial forecasting / Schwarzinger, P. (2025). Integrating causal discovery and machine learning for enhanced financial forecasting [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.130133
Download: PDF (1.47 MB)
Towards Fair AI Systems: Identification and Mitigation of Discrimiation in the Financial Service Sector / Resch, A. (2025). Towards Fair AI Systems: Identification and Mitigation of Discrimiation in the Financial Service Sector [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.123673
Download: PDF (2.27 MB)
Enhancing Embedding-based Product Search using Large Language Models and Synthetic Query / Burtscher, L. (2025). Enhancing Embedding-based Product Search using Large Language Models and Synthetic Query [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.120904
Download: PDF (1.52 MB)
Cycle Accurate Simulation of VLIW Architectures in VADL / Mischkulnig, N. (2025). Cycle Accurate Simulation of VLIW Architectures in VADL [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.110828
Download: PDF (703 KB)
Differential Testing of Secure Multiparty Computation Compilers / Watzinger, S. (2025). Differential Testing of Secure Multiparty Computation Compilers [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.130720
Honeypot LLM: Creation of the Scam Conversation Corpus / Eder, C. (2025). Honeypot LLM: Creation of the Scam Conversation Corpus [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.122387
Download: PDF (696 KB)
Countering SUCI-Catcher - Practical Implementation, Evaluation and Mitigation Against SUCI Replay Attacks in 5G Networks / Braunschmied, M. (2025). Countering SUCI-Catcher - Practical Implementation, Evaluation and Mitigation Against SUCI Replay Attacks in 5G Networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.120284
Download: PDF (2.21 MB)
CodeDetective: Enabling Isolated Code Execution / Ilg, L. (2025). CodeDetective: Enabling Isolated Code Execution [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.121664
Download: PDF (1.21 MB)
Enhancing Train Network Simulation Model with a Moving Block System / Hartmann, F. (2025). Enhancing Train Network Simulation Model with a Moving Block System [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126741
Download: PDF (8.02 MB)

Recent Awards

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
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
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
Schahram Dustdar: PeerJ Computer Science - Top 5 most viewed Adaptive and Self-Organizing Systems article, as of October 8, 2020: Schleicher J. M., Vögler M., Inzinger C., Dustdar S. (2016). Smart Brix - a continuous evolution framework for container application deployments
2020 / USA
Gerald Futschek: Fachdidaktik Informatik
2020 / Ehrenmedaille des ABZ der ETH Zürich für Verdienste um den Informatikunterricht / Switzerland

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