Alessandro Mignocchi / aerospace engineer & researcher

Making sense of Earth orbit.

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.

Scroll to exploreNASA composite imagery · orbital paths illustrative
01 / Research perspective

From a sparse observation to a clearer picture.

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.

01ObserveMeasurements from optical and radar sensors
02InferOrbit, association, and uncertainty
03DecideWhere to observe next
02 / Research lens

Four connected ways of seeing orbit.

Each area addresses a different part of the same problem: observing objects, interpreting measurements, and choosing useful next actions.

01 / Research area

Space surveillance & tracking

Optical and radar observations support the detection, correlation and cataloging of objects in Earth orbit.

02 / Research area

Sensor tasking & observability

Observation planning links finite sensor time with the information needed for catalog maintenance.

04 / Research area

AI for space applications

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.

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Observation / inference / decision

Where should we look next? What can the measurements tell us?

03 / Selected work

Research with a traceable record.

Selected projects connect sensor-network simulation with the analysis of objects following on-orbit fragmentation events.

02

SΞNSIT · sensor-network simulation

Simulation of optical and radar sensor networks for catalog build-up and maintenance.

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03

On-orbit break-up forensics

A collaborative research project on characterizing and reconstructing orbital fragmentation events.

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All documented projects
Observation geometryIllustrative / not to scale
OBJECT ON ORBITOBSERVATION SITELINE OF SIGHT
Sensor field of viewLine of sightObject on orbit
Portrait of Alessandro MignocchiAlessandro MignocchiMilano — Tucson
04 / About the researcher

Engineering foundations. Questions in orbit.

I 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 path
05 / Academic path

Built through two research environments.

Degrees and current PhD research

Politecnico
di Milano.

Ongoing

PhD candidate · Aerospace Engineering

2023

MSc · Space Engineering

2021

BSc · Aerospace Engineering

Completed visiting PhD research

The University
of Arizona.

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 completed
06 / Selected record

Published work, linked to its source.

Selected journal articles and conference proceedings, each linked to a permanent publication record.

Featured publications01 — 03
2026

Advanced Sensor Tasking Strategies for Space Object Cataloging

Aerospace · 13(1), 81

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2025

Early stage characterization of on-orbit fragmentation events

Acta Astronautica · 236, 32–46

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2025

Advanced sensor tasking strategies for space objects cataloging

11th European Conference for Aeronautics and Aerospace Sciences (EUCASS) · Conference proceedings

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Full publication archive
08 / Looking ahead

Research, collaboration, and the next question.

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