TU Wien Informatics

Dr. Thomas Rausch

Thomas Rausch

External researcher
Dipl.-Ing Dr., BSc

+43 1 58801 184838

last edited: 05.07.2021

Short CV

Thomas is the founder and technical lead of the TU Wien spin-off CognitiveXR, and co-founder and principal engineer at LocalStack. After finishing his master’s in Software Engineering & Internet Computing from TU Wien in 2016, he received a PhD in Computer Science in 2021. Until 2021, Thomas was a university assistant at the Distributed Systems Group of the Institute of Information Systems Engineering. During that time, his research focused on operational mechanisms for Edge computing systems, as well as cloud/edge engineering in the CPS/IoT Ecosystem project. He has been a visiting researcher at Carnegie Mellon University working with Prof. Mahadev Satyanarayanan on Edge Computing Systems, and at IBM Watson Research in New York, working on systems to operationalize AI. Before joining the Distributed Systems Group, Thomas worked for three years as a software engineer at the industry-oriented research facility CDL-Flex, developing a data integration platform for systems engineering data and tools. He also has over four years of professional experience in Web application engineering.

Research Interests

Teaching

Courses

No. Title Type
184.167 Distributed Systems UE, 3.0 ECTS
184.153 Distributed Systems Engineering VU, 3.0 ECTS
184.260 Distributed Systems Technologies VU, 6.0 ECTS
184.715 Project in Software Engineering & Internet Computing PR, 12.0 ECTS
194.058 Project in Computer Science 1 PR, 6.0 ECTS
194.059 Project in Computer Science 2 PR, 6.0 ECTS
184.194 Seminar in Distributed Systems SE, 3.0 ECTS

Thesis & Project Supervision

Unfortunately I cannot take on new bachelor or master students at the current time.

Co-Supervised Theses

Projects

Find other projects I’m working on on my projects page.

CognitiveXR is an effort lead by a group of researchers and systems engineers at the intersection of edge computing, augmented reality, and AI, building an any-scale platform for wearable cognitive augmentation applications.

Previous projects

The CPS/IoT Ecosystem is a collaborative effort between TU Wien, AIT, IST, and TTTech, to evaluate state-of-the art cyber-physical system and Internet of Things technologies, and build a unified CPS/IoT ecosystem for industrial and educational applications.

Publications

  1. Lachner, C., Rausch, T., & Dustdar, S. (2021). A Privacy Preserving System for AI-assisted Video Analytics. In 2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC). [Preprint]
  2. Rausch, T., Hummer, W., Stippel, C., Vasiljevic, S., Elvezio, C., Dustdar, S., & Krösl, K. (2021). Towards a Platform for Smart City-Scale Cognitive Assistance Applications. In 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). [Preprint]
  3. Rausch, T., Rashed, A., & Dustdar, S. (2021). Optimized container scheduling for data-intensive serverless edge computing. Future Generation Computer Systems, 114, 259–271. [Paper] [Preprint]
  4. Rausch, T., Hummer, W., & Muthusamy, V. (2020). PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms. ArXiv Preprint ArXiv:2006.12587. [Paper]
  5. Rausch, T., Lachner, C., Frangoudis, P. A., Raith, P., & Dustdar, S. (2020). Synthesizing Plausible Infrastructure Configurations for Evaluating Edge Computing Systems. In 3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 20). [Preprint]
  6. Rausch, T., Hummer, W., & Muthusmay, V. (2020). An Experimentation and Analytics Framework for Large-Scale AI Operations Platforms. In 2020 USENIX Conference on Operational Machine Learning (OpML ’20). (Accepted for publication). [Preprint]
  7. Gusev, M., Koteska, B., Kostoska, M., Jakimovski, B., Dustdar, S., Rausch, T., … Fahringer, T. (2019). A Deviceless Edge Computing Approach for Streaming IoT Applications. IEEE Internet Computing, 23(1), 37–45. [Paper]
  8. Rausch, T., Raith, P., Pillai, P., & Dustdar, S. (2019). Demo: A System for Operating Energy-Aware Cloudlets. In 2019 IEEE/ACM Symposium on Edge Computing (SEC ’19). IEEE. [Preprint] [Poster]
  9. Haris, I., Bisanovic, V., Wally, B., Rausch, T., Ratasich, D., Dustdar, S., … Grosu, R. (2019). Sensyml: Simulation Environment for large-scale IoT Applications. In 45th Annual Conference of the IEEE Industrial Electronics Society (IECON ’19) (Vol. 1, pp. 3024–3030). IEEE. [Paper]
  10. Lachner, C., Rausch, T., & Dustdar, S. (2019). ORIOT: A Source Location Privacy System for Resource Constrained IoT Devices. In 2019 IEEE Global Communications Conference (GLOBECOM). IEEE. [Preprint]
  11. Rausch, T., Hummer, W., Muthusamy, V., Rashed, A., & Dustdar, S. (2019). Towards a Serverless Platform for Edge AI. In 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19). USENIX Association. [Preprint] [Presentation]
  12. Lachner, C., Rausch, T., & Dustdar, S. (2019). Context-Aware Enforcement of Privacy Policies in Edge Computing. In 2019 IEEE International Congress on Big Data (BigData Congress). IEEE. [Preprint]
  13. Rausch, T., & Dustdar, S. (2019). Edge Intelligence: The Convergence of Humans, Things, and AI. In 2019 IEEE International Conference on Cloud Engineering (IC2E). [Preprint]
  14. Hummer, W., Muthusamy, V., Rausch, T., Dube, P., & El Maghraoui, K. (2019). ModelOps: Cloud-based Lifecycle Management for Reliable and Trusted AI. In 2019 IEEE International Conference on Cloud Engineering (IC2E). [Preprint]
  15. Skarlat, O., Karagiannis, V., Rausch, T., Bachmann, K., & Schulte, S. (2018). A Framework for Optimization, Service Placement, and Runtime Operation in the Fog. In 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC’18). [Preprint]
  16. Rausch, T., Avasalcai, C., & Dustdar, S. (2018). Portable Energy-Aware Cluster-Based Edge Computers. In 2018 IEEE/ACM Symposium on Edge Computing (SEC’18). [Preprint] [Presentation]
  17. Rausch, T., Nastic, S., & Dustdar, S. (2018). EMMA: Distributed QoS-Aware MQTT Middleware for Edge Computing Applications. In 2018 IEEE International Conference on Cloud Engineering (IC2E). [Preprint] [Presentation]
  18. Rausch, T., Dustdar, S., & Ranjan, R. (2018). Osmotic Message-Oriented Middleware for the Internet of Things. IEEE Cloud Computing, 5(2), 17–25. [Paper]
  19. Isakovic, H., Ratasich, D., Hirsch, C., Platzer, M., Wally, B., Rausch, T., … others. (2018). CPS/IoT Ecosystem: A platform for research and education. In Proceedings of the 14th Workshop on Embedded and Cyber-Physical Systems Education (WESE 2018). [Preprint]
  20. Rausch, T. (2017). Message-oriented Middleware for Edge Computing Applications. In Proceedings of the 18th Doctoral Symposium of the 18th International Middleware Conference (pp. 3–4). [Preprint] [Presentation]
  21. Nastic, S., Rausch, T., Scekic, O., Dustdar, S., Gusev, M., Koteska, B., … Prodan, R. (2017). A Serverless Real-Time Data Analytics Platform for Edge Computing. IEEE Internet Computing, 21(4), 64–71. [Paper]
  22. Rausch, T., Hummer, W., Leitner, P., & Schulte, S. (2017). An Empirical Analysis of Build Failures in the Continuous Integration Workflows of Java-based Open-source Software. In Proceedings of the 14th International Conference on Mining Software Repositories. [Preprint] [Presentation]

Theses

  1. Thomas Rausch, “A Distributed Compute Fabric for Edge Intelligence”, PhD Thesis, TU Wien, 2021.
  2. Thomas Rausch, “Build Failure Prediction in Continuous Integration Workflows“, Diploma Thesis, TU Wien, 2016.
  3. Thomas Rausch, “Efficient Querying of Versioned Tool Data in Data Integration Environments”, Bachelor Thesis, TU Wien, 2014.

Awards and Honors

Academic Activities

Conference Committees

Reviewer

I have been an official reviewer for