Project Details
Description
Electronics-based systems (EBS) are becoming more and more prevalent in production, infrastructure and transport, but are only accepted if people trust these systems. Reliability is therefore becoming the cornerstone for the social acceptance of electronics-based systems. The researchers in the doctoral programme Dependable ElectroNIc-Based SystEms (DENISE) will explore concepts, methods and application-oriented tools to make EBS more reliable. The project deepens the very good relationship between FH Joanneum and Graz University of Technology through a joint doctoral programme. DENISE creates an integrated research framework across disciplinary boundaries and links reliability concepts of sensors with networked embedded devices. Existing strengths will be built upon and by pooling complementary expertise DENISE will lead to sustainable progress in the EBS sector.
| Status | Finished |
|---|---|
| Effective start/end date | 1/05/22 → 30/04/26 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints
Corti, F., Maag, B., Schauer, J., Pferschy, U. & Saukh, O., 2026, In: IEEE Transactions on Mobile Computing. 25, 1, p. 451-465 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
APEX: Automated Parameter Exploration for Low-Power Wireless Protocols
Mohamed Hydher, M. H., Schuss, M., Saukh, O., Römer, K. & Boano, C. A., 17 Nov 2025, In: ACM Transactions on Sensor Networks. 21, 6, 36 p., 59.Research output: Contribution to journal › Article › peer-review
Open Access -
Artifacts (APEX: Automated Parameter Exploration for Low-Power Wireless Protocols)
Mohamed Hydher, M. H., Schuß, M., Saukh, O., Römer, K. U. & Boano, C. A., 31 Jan 2025Research output: Non-print form › Data set/Database
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From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices
Corti, F. (Speaker), Slamanig, G. (Contributor) & Saukh, O. (Contributor)
22 Sept 2025Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Machine Learning for Dependable Systems: Beyond Black Boxes
Saukh, O. (Speaker)
8 Jul 2024Activity: Talk or presentation › Invited talk › Science to science
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ML for Dependable Systems: Beyond Black Boxes
Saukh, O. (Speaker)
8 Jul 2024Activity: Talk or presentation › Invited talk › Science to public