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-three 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

Cloud Open Source Research Mobility Network
2023 – 2026 / European Commission
Trustworthy, Energy-Aware federated DAta Lakes along the Computing Continuum
2022 – 2025 / European Commission
Publication: 177474
OPC UA Rule Editor
2021 / Siemens AG
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 / 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 / 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
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 / 176484 / 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
ICT for Decision Making in Farming
2017 – 2021 / Austrian Research Promotion Agency (FFG)
Interoperability of Heterogeneous IoT Platforms - INTER-IoT
2017 – 2018 / European Commission
Publications: 57460 / 57462 / 57780 / 57783
Automatic recommendation of music tracks and musicians for collaboration in an online jam community
2017 – 2019 / Austrian Research Promotion Agency (FFG)
Publications: 142406 / 56721 / 57031 / 57033 / 57035 / 57038 / 57042 / 57190 / 57191 / 57451 / 57452 / 57453 / 57618 / 57622 / 57649 / 86636 / 86810
Towards Systematic and Efficient Language Engineering for xDSMLs
2017 – 2018 / Austrian Exchange Service (OeAD)

Recent Publications

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
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)
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). Secured Wireless Energy Transfer for the Internet of Everything in Ambient Intelligent Environments (Vol. 5, Issue 1, pp. 62–66). https://doi.org/10.1109/iotm.001.2100116
EdgeFlow - Developing and Deploying Latency-Sensitive IoT Edge Applications / Avasalcai, C., Zarrin, B., & Dustdar, S. (2022). EdgeFlow - Developing and Deploying Latency-Sensitive IoT Edge Applications. IEEE Internet of Things Journal, 9(5), 3877–3888. https://doi.org/10.1109/jiot.2021.3101449
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
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 (2204.10183). 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 (2203.04159). arXiv. https://doi.org/10.48550/arXiv.2203.04159
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 (2205.10568). 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 (2205.01423). arXiv. https://doi.org/10.48550/arXiv.2205.01423
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. http://hdl.handle.net/20.500.12708/153531
Data classification based on attribute vectorization and evidence fusion / Xu, X., Xu, X., Shi, P., Ye, Z., Bai, Y., Zhang, S., Dustdar, S., & Wang, G. (2022). Data classification based on attribute vectorization and evidence fusion. Applied Soft Computing, 121(108712), 108712. https://doi.org/10.1016/j.asoc.2022.108712
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
Explainable lexical entailment with semantic graphs / Kovacs, A., Gemes, K., Kornai, A., & Recski, G. (2022). Explainable lexical entailment with semantic graphs. Natural Language Engineering, 1–24. https://doi.org/10.1017/s1351324922000092
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
Distributed Redundant Placement for Microservice-based Applications at the Edge / Zhao, H., Deng, S., Liu, Z., Yin, J., & Dustdar, S. (2022). Distributed Redundant Placement for Microservice-based Applications at the Edge. IEEE Transactions on Services Computing, 15(3), 1732–1745. https://doi.org/10.1109/tsc.2020.3013600
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
Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration / Chen, H., Deng, S., Zhu, H., Zhao, H., Jiang, R., Dustdar, S., & Zomaya, A. Y. (2022). Mobility-Aware Offloading and Resource Allocation for Distributed Services Collaboration. IEEE Transactions on Parallel and Distributed Systems, 33(10), 2428–2443. https://doi.org/10.1109/tpds.2022.3142314
On System Stability in Multitier Roadside Computing Toward an Intelligent Transportation / Dao, N.-N., Vu, D.-N., Tran, A.-T., V. Phan, T., Dustdar, S., & Cho, S. (2022). On System Stability in Multitier Roadside Computing Toward an Intelligent Transportation. IEEE Transactions on Network Science and Engineering, 9(3), 1128–1138. https://doi.org/10.1109/tnse.2021.3133283
A Lightweight Collaborative Deep Neural Network for the Mobile Web in Edge Cloud / Huang, Y., Qiao, X., Ren, P., Liu, L., Pu, C., Dustdar, S., & Chen, J. (2022). A Lightweight Collaborative Deep Neural Network for the Mobile Web in Edge Cloud. IEEE Transactions on Mobile Computing, 21(7), 2289–2305. https://doi.org/10.1109/tmc.2020.3043051
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

Recent Theses

Explainability of hate speech classification for Albanian language using rule based systems and neural networks / Kaçuri, M. (2023). Explainability of hate speech classification for Albanian language using rule based systems and neural networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.105780
Download: PDF (1.15 MB)
Comparing Neural Network Architectures for Drum Pattern Generation / Peer, T. (2023). Comparing Neural Network Architectures for Drum Pattern Generation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.112485
Download: PDF (3.16 MB)
Digital (Micro-) Credentials for Teaching demonstrated by a prototype for the TU-Vienna / Schwarzhans, M. (2023). Digital (Micro-) Credentials for Teaching demonstrated by a prototype for the TU-Vienna [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102262
Download: PDF (1.42 MB)
Audio Tampering Detection / Dörömbözi, A. (2023). Audio Tampering Detection [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.96575
Download: PDF (2.81 MB)
Reproduction of Black-Box Music Analysis Algorithms through Machine Learning / Schmidt, A. (2023). Reproduction of Black-Box Music Analysis Algorithms through Machine Learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.86725
Download: PDF (2.76 MB)
Achieving Sustainable Federated Edge Analytics by Using Incomplete Data / Maliakel, P. J. (2023). Achieving Sustainable Federated Edge Analytics by Using Incomplete Data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.108307
Download: PDF (1.58 MB)
Dynamic Scheduling of Neural Network Splitting / Luger, D. (2023). Dynamic Scheduling of Neural Network Splitting [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.108325
Download: PDF (2.32 MB)
Transforming text annotations into graph-based features for a human-in-the-loop explainable information extraction framework / Chytilek, F. (2023). Transforming text annotations into graph-based features for a human-in-the-loop explainable information extraction framework [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.112080
Download: PDF (6.38 MB)
Improving Rust Mutation Testing using Static and Dynamic Program Analysis / Pilz, S. (2023). Improving Rust Mutation Testing using Static and Dynamic Program Analysis [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.110084
Download: PDF (655 KB)
Testing of GLSP-based Web Modeling Tools / Metin, H. (2023). Testing of GLSP-based Web Modeling Tools [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.106767
Download: PDF (2.15 MB)
Readiness Assessment for the Artificial Intelligence Act with a requirements catalogue in the field of critical infrastructure / Oliva, D. (2023). Readiness Assessment for the Artificial Intelligence Act with a requirements catalogue in the field of critical infrastructure [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.107330
Propaganda detection in Russian and American news coverage about the war in Ukraine through text classification / Hein, V. (2023). Propaganda detection in Russian and American news coverage about the war in Ukraine through text classification [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.104640
Download: PDF (3.36 MB)
Improving REST API Robustness Through Continuous Fuzzing: A Case Study / Haider, D. (2023). Improving REST API Robustness Through Continuous Fuzzing: A Case Study [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.112723
Download: PDF (1.99 MB)
Edge Computing Framework for the Use Case of Steel Saws in the Steel Industry / Reckendorfer, G. (2023). Edge Computing Framework for the Use Case of Steel Saws in the Steel Industry [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.99444
Download: PDF (1.95 MB)
Reinforcement-learning-based, application-agnostic, and explainable auto-scaling in the cloud utilizing high-level SLOs / Mayerhofer, R. (2023). Reinforcement-learning-based, application-agnostic, and explainable auto-scaling in the cloud utilizing high-level SLOs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.106505
Download: PDF (2.57 MB)
Analysis and Bypass of Android Application Anti-Reverse Engineering Mechanisms / Kalauner, P. G. (2023). Analysis and Bypass of Android Application Anti-Reverse Engineering Mechanisms [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.113493
Download: PDF (2.11 MB)
Knowledge Graph-based Generic Modularisation of Conceptual Models / Laranjo, J. M. (2023). Knowledge Graph-based Generic Modularisation of Conceptual Models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.99585
Download: PDF (2.73 MB)
Design, Development and Evaluation of First-/Third-Person Hybrid Locomotion Techniques in Virtual Reality / Ledóchowski, F. (2023). Design, Development and Evaluation of First-/Third-Person Hybrid Locomotion Techniques in Virtual Reality [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.112724
Download: PDF (4.59 MB)
Design, Development and Evaluation of a Serious Game to Train Decision-making Skills of Martial Arts Referee / Salmhofer, A. P. (2023). Design, Development and Evaluation of a Serious Game to Train Decision-making Skills of Martial Arts Referee [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.113492
Download: PDF (4.26 MB)
Fake News Detection Performance Analysis by Incorporation of Sentiment Analysis / Momeni Rouchi, P. (2023). Fake News Detection Performance Analysis by Incorporation of Sentiment Analysis [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.105745
Download: PDF (1.84 MB)

Recent Awards

Schahram Dustdar: Honorary Professor
2023 / Nanjing University of Science and Technology / China
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
Schahram Dustdar: Francqui Chair Professor at University of Namur
2021 / Belgium / Website
Schahram Dustdar: Asia-Pacific Artificial Intelligence Association (AAIA) President
2021 / China / 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
Schahram Dustdar: IEEE TCSC Award 2019 for Excellence in Scalable Computing
2019 / USA
Gerti Kappel: Sonderpreis "Digital Woman Leader"
2019 / Austria / Website
Gerald Futschek: OCG
2018 / Ehrenmitglied der Österreichischen Computer Gesellschaft / Austria
Schahram Dustdar: Best Paper Award: Riveni M., Dustdar S. (2018). Trust and Interaction-type considerations in Multi-objective Team Compositions for Human-computation. 17th IEEE International Conference Series on Cognitive Informatics and Cognitive Computing (ICCI*CC 2018), July 16-18, 2018, Berkeley, CA, USA
2018 / USA
Schahram Dustdar: IEEE TCSVC Outstanding Leadership Award
2018 / USA / Website
Schahram Dustdar: Innovation Radar: Innovation Title: Elasticity Provisioning Platform; Innovation Category: Creation; FP7 project CELAR
2018 / Website / Project
Schahram Dustdar: Innovation Radar: Innovation Title: SIMPLI-CITY mobility related services framework; Innovation Category: Creation; FP7 project SIMPLI-CITY
2018 / Website / Project
Schahram Dustdar: Innovation Radar: Innovation Title: The Cloud Application Management Framework; Innovation Category: Exploration; FP7 project CELAR
2018 / Website / Project

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