1 June 2026
Presenting at SmallSat Europe 2026 with Telespazio Germany
Detection has stopped being the hard part. Getting detection output into a form an operations team can act on, and defend afterwards, is where the work is now.
Our paper with Telespazio Germany covers exactly that: how machine-learned anomaly detection is embedded into relevance-driven mission operations workflows, so a flagged deviation is qualified against mission context, spacecraft state and scheduled activity before it reaches a person.
The result is a decision-ready event carrying context, history and a recommended procedure, rather than a score.