Find Academic Supervisors

• Fault Tolerance
• Safety-Critical Systems
• Distributed Algorithms
• +4 more

Wilfried Steiner is an Associate Professor at the Institute for Computer Engineering within the Faculty of Informatics at TU Wien. His research focuses on fault tolerance, safety-critical systems, distributed algorithms, and formal analysis in cyber-physical systems. He actively teaches courses and supervises master's theses, with a bachelor thesis course scheduled for the 2025 winter semester. Steiner's research centers on dependable communication systems, particularly time-triggered architectures for safety-critical applications. He has pioneered solutions for fault containment, system startup, and Byzantine faults in distributed real-time systems. His work extends to fog computing for industrial IoT through the FORA project (2017-2021), addressing resource constraints in automotive and industrial environments while maintaining deterministic behavior. His publication timeline reveals consistent innovation: early foundational work (2002-2007) established protocols for fault-tolerant time-triggered communication, evolving toward fog computing platforms (2020-2021) for industrial IoT. Recent publications emphasize automotive applications (TTEthernet/AUTOSAR) and IoT channel synchronization, demonstrating sustained relevance in real-time system design. Steiner has supervised nine master's theses between 2018-2024, including Walser (2024) on time-aware container virtualization, Reisinger (2022) on distributed clock synchronization, and Schorn (2021) on automotive fail-operational strategies. His research is supported by projects like FORA, which developed fog computing solutions for industrial IoT constraints. As a core member of the Cyber-Physical Systems research group (E191-01), Steiner contributes to TU Wien's leadership in safety-critical embedded systems, focusing on integration of computing, networking, and physical processes for automotive and industrial applications.

• Fault-Tolerant Computing
• Asynchronous Circuits
• Digital System Design
• +3 more

Florian Ferdinand Huemer is a PostDoc Researcher at the Embedded Computing Systems department (E191-02 Faculty Council Substitute Member) within the Faculty of Informatics at Vienna University of Technology. His work focuses on fault-tolerant asynchronous circuits, delay-insensitive communication protocols, and FPGA reliability analysis. BSc , Vienna University of Technology Dipl.-Ing. , Vienna University of Technology Dr.techn. , Vienna University of Technology Key research areas include: Fault-Tolerant Computing : Designing systems resilient to transient faults and radiation effects. Asynchronous Circuits : Developing quasi-delay-insensitive logic and Muller pipelines. Embedded Metrology : Applying polarization cameras and time-to-digital converters for industrial measurements. Recent publications address: 2024 : Polarization camera-based inline thickness measurement and FPGA ring oscillator synchronization. 2023 : Mitigating single-event transients in QDI logic. 2021 : Automated fault-injection frameworks and QDI pipeline sensitivity analysis. Projects funded by the Austrian Science Fund (FWF) during 2013-2018 explored self-stabilizing Byzantine fault-tolerant algorithms. Supervisions include: Haschke (2024): QDI adder comparison Spitzer (2024): Automated fault-injection framework Schwendinger (2022): Asynchronous circuit testing tools Pircher (2022): Smart SoC testing via IJTAG Behal (2021): QDI design template fault sensitivity

Visa KoivunenView profile

Professor

• Statistical Signal Processing
• Wireless Communications
• Radar Signal Processing
• +4 more

Visa Koivunen is the Aalto Distinguished Professor at Aalto University, Finland, with a global reputation in statistical signal processing and wireless communications. He has held prestigious positions including Academy Professor (2010-2014) and Principal Investigator for the SMARAD Center of Excellence (2002-2013). Education: D.Sc. (EE) from University of Oulu Current roles: Full Professor at Aalto University Visiting appointments: EPFL (2022-2023), Princeton University (2007, 2010-2013) His research spans statistical signal processing , radar systems , machine learning for radio frequencies , and integrated sensing and communications (ISAC) , with a focus on robust algorithms and practical applications. Recent work explores reinforcement learning for ISAC resource allocation and James-Stein estimator-based change detection. Notable awards include IEEE Fellow , EURASIP Fellow , Mannerheim Research Foundation Award , and Knight of the Order of the White Rose of Finland . Patents: 5 co-invented (US Patent Nos. 7787548, 7929937, 7949357, 20090197550, 20100120467) Publications: 490+ scientific papers, 116 peer-reviewed journal papers, h-index 60 Service: IEEE Fourier Award Committee, SPS Awards Board, NATO Radar panels

Dominique SchröderView profile

Professor

• Privacy
• Distributed Trust
• Privacy-Preserving Technologies
• +7 more

Dominique Schröder is a Full Professor and Head of the Privacy Enhancing Technologies Research Unit at TU Wien. Previously, he held academic positions at Friedrich-Alexander University of Erlangen-Nuremberg and the University of Saarland. His research focuses on cryptography, privacy-preserving technologies, and decentralized systems. He obtained his Ph.D. from TU Darmstadt and his diploma from TU Braunschweig. Key research areas include privacy-preserving techniques, secure multiparty computation, cryptographic protocols, and low-entropy security. His work bridges theoretical cryptography with practical applications, particularly in blockchain, genomic data management, and decentralized systems. Education: Ph.D. in Cryptography, TU Darmstadt Diploma in Computer Science, TU Braunschweig Postdoc at University of Maryland (advisor: Jonathan Katz) Notable Contributions: Developed Group ORAM for privacy in outsourced records Advanced adaptor signatures and threshold cryptography Contributed to privacy-preserving genomic data systems like PROMISE His publications span top venues in cryptography (e.g., CRYPTO, EUROCRYPT) and address topics like secure computation resilience, functional credentials, and privacy metrics. He actively participates in academic committees and advises on privacy-enhancing technologies.