Description
Welcome to Capri and welcome to the first edition of the PhD School on Cyber Physical Cloud!
We live in an era of tremendous transformation, where digital systems are progressively embedded in physical devices adopted in our daily life, from vehicles and household appliances to heavy machinery adopted in industrial automation.
Recently, many industrial and research initiatives are blooming, fostering the adoption of the cloud paradigm and related technologies in cyber physical systems, to both adhere to stringent size, weight and power requirements, while embracing the pay-per-use model typical of cloud providers. As a side effect, this shift allows to re-purpose in the embedded and real-time the vast expertise available in the cloud domain.
The PhD School has the objective of teaching both the fundamentals and practical aspects behind the concepts of cloud computing, real-time virtualization, and their application to build next generation cyber physical cloud systems.
Audience
The PhD school is aimed at master students, PhD students and candidates, early stage researchers and industrial practitioners who want to explore the blend of real-time and cloud computing and their applications on cyber physical systems.
Program Overview
The school program features strong participation from leading industrial partners in manufacturing, telecommunications, and cloud infrastructure—including Ericsson, Bosch, and Digital Ocean—alongside renowned academics in real-time computing, control, and virtualization.
The curriculum blends academic depth with practical industrial insights, structured around three foundational pillars:
🔹 Real-Time Computing & Virtualization
Designing predictable, time-sensitive systems through:
- Real-time operating systems and mixed-criticality scheduling
- Hardware-assisted virtualization for embedded platforms
- Timing analysis, system partitioning, and formal verification
🔹 Cloud Computing & Orchestration
Modern distributed architectures across cloud-edge infrastructures, including:
- Containerization, microservices, and orchestration (e.g., Kubernetes)
- Edge and fog computing for low-latency applications
- Secure, scalable deployment strategies for industrial CPS
🔹 Industrial Use Cases
Real-world applications and challenges in:
- Automotive, aerospace, robotics, and manufacturing
- Cyberphysical integration, digital twins, and IoT
- Standards, safety certification, and innovation ecosystems
With a unique blend of theory and practical hands-on sessions, the school represents a unique opportunity for young PhD scholars to meet experts in the field and to acquire a useful skillset to distinguish their carrier development.
