Daniel Casini

Dr. Daniel Casini is an Assistant Professor at the Department of Information Engineering and Computer Science, Sant'Anna School of Advanced Studies. His academic journey includes a PhD (2016–2019) and postdoctoral research (2019–2021) in Real-Time Systems. He specializes in real-time scheduling algorithms, edge computing, and embedded system predictability. His work focuses on optimizing latency, resource allocation, and security in cyber-physical systems.

Education:

• PhD in Computer Science, Sant'Anna School of Advanced Studies (2016–2019)
• Postdoctoral Researcher in Real-Time Systems (2019–2021)

Research Interests:

• Real-Time Scheduling (Partitioned/EDF/Gang Scheduling)
• Edge Computing and Predictable Virtualization
• Middleware Optimization (DDS/ROS 2)
• Hardware-Software Co-Design for Cyber-Physical Systems
• Security-Temporal Trade-offs in Critical Systems

Key Contributions:

• Developed MATERIAL framework for edge real-time applications on QNX RTOS
• Pioneered analysis of QNX IPC predictability and Linux kernel noise
• Designed latency-optimized thread chains for DDS middleware

Awards:

• IEEE TCCPS Early-Career Award 2023

Labs/Teams: Active contributor to the SPHERE project, developing heterogeneous multi-SoC architectures for next-gen cyber-physical systems.