Doctoral School for Dependable Electronic-Based Systems

Research

DENISE

 
Electronic Engineering

Research Focus

Electronic-based systems (EBS) make our world “smart” by combining advanced electronics and software, often in networked systems that interact with the physical world through sensors and actuators. Most EBS applications in production or transportation are safety-critical: EBS failures may cost human lives. A system is only as dependable as its weakest part. As EBS combine many heterogeneous aspects – software, signals, electronics, networks, sensors, actuators – our hypothesis is that a concerted effort of all relevant research disciplines is required to achieve EBS dependability.

Our objective is thus to establish an integrated research framework across the disciplinary boundaries to link up dependability concepts along the data processing chain into a holistic toolbox of methods. We aim to devise fundamental concepts and methods, but also application-oriented tools to make EBS dependable, where dependability summarizes attributes of a system allowing humans to trust EBS.

PhD Projects

Infrastructure and Facilities

  • aiMotionLab: A collaborative, multidisciplinary research infrastructure for the development, implementation and evaluation of AI systems (AI = artificial intelligence) for connected, mobile cyber-physical systems
  • ATE Lab: On-chip testing lab for R&D testing and measurement
  • Shielding anechoic chamber with frequency range from 30 megahertz to 18 gigahertz
  • JOANNEUM Power Electronic Center: Minimising energy losses and increasing the efficiency of electricity transmission
  • Benchmarking infrastructure for evaluation of performance of low-power wireless systems

Publications

Student: Abd Alrahman Dawara
Title: Overview of Post-Fault Operation Strategies for Open-End Winding Machines
Considering ZSC

Conference: ECCE 2023, Nashville
Paper

Student: Sayyidshahab Nabavi
Title: Anchor Placement Optimization for Area-Based Localization Using Tabu Search Algorithm
Conference: The International Conference on Embedded Wireless Systems and Networks (EWSN 2023)

Student: Hassaan Hydher
Title: Automatic Parameter Exploration for Low-Power Wireless Protocols
Conference: The International Conference on Embedded Wireless Systems and Networks (EWSN 2023)

Student: Francesco Corti
Title: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints on IoT Devices
Conference: The International Conference on Embedded Wireless Systems and Networks (EWSN 2023)
Paper