Research topics

ACES team

The Autonomous Critical Embedded Systems (ACES) team operates at the forefront of computing science with a clear focus on addressing contemporary challenges through research in Cybersecurity, Safe and Secure Distributed Systems, Software Engineering, Embedded Real-Time Systems, and Autonomous and Energy-Aware Systems. The team's scientific objectives are presented below.

Each of these objectives is pursued through a combination of theoretical and applied research, collaboration with external partners, and active dissemination of results through top-tier publications and contributions to open-source projects. Integrity, ethics, and a commitment to open science underpin the team's activities. Through a focus on these diverse yet interconnected domains, the team pushes the boundaries of scientific and technological knowledge and addresses urgent practical challenges related to security, efficiency, and sustainability in computing.

Cybersecurity

To enhance digital security, the team aims at defining robust protocols for secure object management, developing adversarial methods to challenge intrusion detection systems, and devising optimal defense strategies for critical systems using game theory.

Safe and secure distributed computing

The objective is to establish reliable data access and consensus protocols that optimize energy consumption, throughput, and latency, while ensuring robustness against Byzantine attacks and improving data protection techniques.

Software and systems engineering

The team seeks to advance both empirical and model-based approaches in software engineering. Objectives include managing the world's largest archive of software source code for security and developing methods for early detection and correction of design errors in software development.

Embedded Real-Time Systems

The aim is to improve the reliability and performance of mixed-criticality systems and predictable computing within real-time embedded systems, focusing on scheduling, timing analysis, and optimization under resource constraints.

Autonomous and Energy Aware Systems

The objective is to develop systems that are self-adaptive, environmentally friendly, and energy-efficient, with projects like SmartGarden exemplifying the application of these principles for societal benefit.