Space surveillance & tracking
Optical and radar observations support the detection, correlation and cataloging of objects in Earth orbit.
Alessandro Mignocchi / aerospace engineer & researcher
Space surveillance and tracking through observation, orbital analysis, sensor tasking, and intelligent systems.
PhD candidate at Politecnico di Milano. Completed visiting PhD research at The University of Arizona.
Objects in orbit are understood through incomplete measurements. My research connects how sensors are tasked, how observations are associated, and what those measurements can reveal about an evolving orbital environment.
Each area addresses a different part of the same problem: observing objects, interpreting measurements, and choosing useful next actions.
Optical and radar observations support the detection, correlation and cataloging of objects in Earth orbit.
Observation planning links finite sensor time with the information needed for catalog maintenance.
Early measurements can help associate newly observed objects with a break-up and estimate when it occurred.
Machine learning, reinforcement learning and meta-reinforcement learning inform adaptive sensor scheduling. LLM-assisted scientific workflows remain an emerging research direction.
Conceptual graphics are not operational data or study results.
Explore all research areasWhere should we look next? What can the measurements tell us?
Selected projects connect sensor-network simulation with the analysis of objects following on-orbit fragmentation events.
Modules for sensor assessment, tasking, and analysis of orbital fragmentation observations.
Explore project archiveSimulation of optical and radar sensor networks for catalog build-up and maintenance.
Explore project archiveA collaborative research project on characterizing and reconstructing orbital fragmentation events.
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Alessandro MignocchiMilano — TucsonI am a PhD candidate in Aerospace Engineering at Politecnico di Milano. My work connects observation strategies, orbital analysis, and learning-based approaches to space surveillance and tracking.
Read my academic pathPhD candidate · Aerospace Engineering
MSc · Space Engineering
BSc · Aerospace Engineering
October 2025 – March 2026 · Tucson, Arizona, USA
Research visit focused on reinforcement learning for sensor tasking in space surveillance and tracking.
Visiting PhD student · visit completedSelected journal articles and conference proceedings, each linked to a permanent publication record.
Aerospace · 13(1), 81
Acta Astronautica · 236, 32–46
11th European Conference for Aeronautics and Aerospace Sciences (EUCASS) · Conference proceedings
Photographs of ground infrastructure, research environments, and the people who work across them.
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