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This spring, I am advising two visiting cadets from the École Spéciale Militaire de Saint-Cyr in France — Joseph Dous and Cyprien Wieland — as part of ÂÜÀò¼Ò԰’s ongoing international exchange program. This marks my third time working with Saint-Cyr cadets on engineering and AI-focused projects.

During their time at Norwich, they are contributing to a research effort in artificial intelligence focused on radio spectrum analysis. The project explores how machine learning and deep learning can be used to analyze and interpret radio frequency signals across different scenarios. Rather than treating signals as isolated measurements, the work focuses on capturing their behavior over time, which better reflects real-world conditions.

As part of this effort, the team is developing a novel, first-of-its-kind time-series radio frequency dataset. The goal is to make this dataset publicly available so that researchers and students can use it to explore new approaches in AI-driven signal analysis.

What stands out to me is how quickly the cadets adapt to the research environment. They approach the work with discipline, curiosity, and a strong willingness to engage with complex technical challenges. Within a short time, they move from understanding the problem to actively contributing to the development of models and data pipelines.

This type of experience reflects what we are building at ÂÜÀò¼ÒÔ° in and . With strong support from university leadership, we continue to create opportunities for students to engage in hands-on research that connects theory to real-world applications. It is especially rewarding to see this environment attract international collaborators and create meaningful technical exchange.

I would also like to acknowledge the DoD Senior Military College Cyber Institute at ÂÜÀò¼ÒÔ°, led by Dr. Sharon Hamilton, for supporting the acquisition of equipment such as the spectrum analyzer, which plays an important role in enabling this type of work.

This collaboration highlights what can happen when academic exchange is combined with real research. It is not only about students traveling between institutions, but about working together to solve challenging problems and contribute to the broader research community.