The call for application is open

This school is dedicated to teaching key principles of detector signal processing and edge AI using FPGA-based heterogeneous platforms, with a focus on applications in nuclear instrumentation.

Modern nuclear and particle physics experiments require online data acquisition (DAQ) systems capable of processing multiple parallel detector signals while reducing data rates and storage requirements for subsequent offline analysis. These systems combine advanced digital signal processing and machine learning for event detection and discrimination with reconfigurable computing architectures that integrate software flexibility and hardware performance.
 
Through lectures and hands-on sessions, participants will gain practical experience with edge AI solutions, open-source tools, and heterogeneous hardware platforms. The program equips attendees to design and deploy intelligent instrumentation for advanced scientific applications.

Topics:

• Fundamentals of Nuclear and Particle Detectors
• Signal Processing and Real-Time Data Acquisition
• FPGA-Based Systems-on-Chip
• Hardware–Software Co-Design
• Reconfigurable Instrumentation
• Machine Learning and Edge AI
• ML Model Optimization and Compression
• Heterogeneous Computing on MPSoC-FPGA

Research abstracts:

Applicants are encouraged to submit a brief research abstract related to detector signal processing, edge AI, or nuclear instrumentation for consideration for an oral presentation. A limited number of abstracts will be selected for contributed talks. Please use the ICTP template available for download below when preparing your abstract.

Directors:

Maria Liz CRESPO, ICTP, Italy
Kalliopi KANAKI, IAEA, Austria
José LIPOVETZKY, CNEA, IB, UNCUYO, CONICET, Argentina
Martín PÉREZ, CNEA, IB, UNCUYO, CONICET, Argentina
Mariana MATTENET, CNEA, Argentina
Luciana DE MICCO, ICYTE (UNMDP-CONICET), Argentina

Grants:

A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.