Reliable and Secure Systems

Dependable AI and secure systems for the real world.

Featured

Research Topics

Explore the research areas that connect our work on dependable AI, secure systems, and safety-critical software.

Research topics visual for dependable AI and secure systems

Research

Research highlights

Our work combines rigorous engineering, systems design, and applied AI methods to support dependable deployment in high-stakes settings.

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Security icon

Security

Secure and trustworthy AI systems.

2 people4 projects
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Federated Learning icon
Federated Learning icon

Federated Learning

Privacy-preserving collaborative learning at the edge.

1 people1 projects
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Reliability icon
Reliability icon

Reliability

Dependable AI under uncertainty and real-world constraints.

2 people5 projects
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Approximate Computing icon
Approximate Computing icon

Approximate Computing

Efficiency through controlled trade-offs in precision.

1 people3 projects
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Neuromorphic Computing icon
Neuromorphic Computing icon

Neuromorphic Computing

Brain-inspired low-power intelligent systems.

1 people1 projects
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Hardware Acceleration icon
Hardware Acceleration icon

Hardware Acceleration

Specialized systems for fast and efficient AI execution.

1 people3 projects
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Highlights

Featured projects

A representative sample of current projects spanning runtime assurance, secure AI infrastructure, and operational readiness.

AI-DISCO project image

AI-DISCO

Funder: Federal Ministry of Research, Technology and Space (BMFTR)

Grant ID: 16ME1127

Active

2026-2030

* motivation Research-intensive microelectronics and its applications are drivers of progress, competition, and innovation across all industries. To accelerate the transfer of knowledge and expertise to industry and to s...

Hardware AccelerationSecurityReliabilityNeuromorphic ComputingModel OptimizationFederated LearningApproximate Computing
Project

CRASHLESS

Funder: Estonian Research Council Grant

Grant ID: PUT PRG1467

Active

(Contributing research activities without direct consortium partnership involvement) CRASHLESS is a research initiative focused on the reliability and dependability of AI hardware accelerators operating under hardware fa...

SecurityReliabilityApproximate ComputingModel OptimizationHardware Acceleration

Why this matters

Translating research into dependable practice

We focus on workflows and infrastructure that help research results hold up under operational constraints, not just in controlled benchmarks.

News

Latest updates

Recent public updates from the RSS group.

3 Jun 2026

DDECS

30th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)

The RSS Lab is hosting and organizing the 30th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). The symposium brings together researchers and practitioners working on design, test, security, reliability, and diagnosis of electronic circuits and systems.

Get involved

Open opportunities

Current openings and collaboration pathways for students, engineers, and visiting researchers.

Opportunity

Thesis

Masters

Open

Contact: taheri@b-tu.de

Master's thesis topics are available in several key areas of modern artificial intelligence and AI hardware, including: 1. AI Security 2. Hardware acceleration for AI (FPGA, softcore GPU/FGPU) 3. Reli...

Quick links

Explore the current lab structure and contact points

Browse live research areas, current projects, publications, opportunities, and contact details from the RSS website.

Events

Upcoming events

Seminars, talks, and public activities from the RSS group.

30th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS) cover image
Upcoming

May 3, 2027

30th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)

Müggelseeperle Hotel & Conference Berlin

The RSS Lab is hosting and organizing the 30th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). The...