SPAICE 2026 takes place from 21–23 October 2026 at ESTEC, Noordwijk, The Netherlands. The conference runs two parallel tracks during every oral session. Each oral presentation is allocated 20 minutes (approximately 15 minutes of presentation followed by 5 minutes of questions).
Onboard AI (OAI), Spaceflight Dynamics (SFD), Astronomy (AST), Operations (OPS), Guidance, Navigation & Control (GNC), Earth Observation (EO)
Wednesday 21 October 2026
| Time | Track A | Track B |
|---|---|---|
| 08:00–09:00 | Arrival via public bus | |
| 09:00–09:30 | Registration open | |
| 09:30–10:00 | Coffee | |
| 10:00–10:30 | Conference opening | |
| 10:30–11:00 | Welcome, practical information and housekeeping | |
| 11:00–12:00 | Opening Keynote by Dr. Christopher Bishop | |
| 12:00–13:00 | OAI | SFD |
| 12:00 | Reward-Free Continual Adaptation for Resilient Space Robots – Andrej Orsula | Data-Centric Preprocessing for GNSS-Based Orbit Determination via AI, Signal Processing, and Orbital Dynamics – Marta Guimaraes |
| 12:20 | Comparative Performance Analysis of Classical and AI-Based Launch Adapter Ring Detection for Robotic On-Orbit Servicing – Kirimamuni Supuni Kaveendya | High-Fidelity Low Earth Orbit Determination with Physics-Informed Extreme Learning Machines – Fabian Dallinger |
| 12:40 | AstroPIE-53: Towards Understanding Failure Modes of Human Pose Estimation in Space – Stephanie Käs | Offline Approximate Value Iteration: A Reinforcement Learning Approach for Satellite Constellation Deployment – Tristan Leuridan |
| 13:00–14:30 | Lunch | |
| 14:30–15:30 | AST | OPS |
| 14:30 | Identification of Rare and Weak Signals with Machine Learning and Citizen Science: Planet Hunting with TESS and PLATO – Sofia Platymesi | Onboard Predictive Fault Management for SeRANIS: Resource-Aware Multi-Mode Telemetry Forecasting and Anomaly Detection – Maren Hülsmann |
| 14:50 | A metallicity-conditioned transformer-based generative model of planetary systems – Sara Marques | A Comparative Study of Reconstruction-Based Deep Learning Models for Spacecraft Telemetry Anomaly Detection – Jieon Lee |
| 15:10 | Faithful Neural Embeddings for 3D Exoplanet Climate Modeling – Amit Reza | A Foundation Model Assessment for State-of-Health Prediction in Space Li-Ion Batteries – Roberto Giovanni Sbarra |
| 15:30–16:00 | Coffee break | |
| 16:00–17:00 | Poster session 1 (24 posters) | |
| 17:30–19:30 | Welcome cocktail | |
| 19:30 | Depart via public bus | |
Thursday 22 October 2026
| Time | Track A | Track B |
|---|---|---|
| 09:00–10:00 | Keynote by Dr. Nathan Kutz | |
| 10:00–10:30 | Coffee break | |
| 10:30–13:00 | GNC / AST | EO / OPS |
| 10:30 | MPC for underactuated spacecraft control with a Lyapunov supervised physics-informed neural network correction layer – Carlo Cena | Identification of plastics debris in the oceans using knowledge distillation and neural networks on FPGAs – Sioni Summers |
| 10:50 | Adversarial Reinforcement Learning for Robust Planetary Landing – Miguel Leiva | Assessing the impact of off-nadir image acquisition on the performance of a deep learning model for on-board ship segmentation – Francesco Pasanisi |
| 11:10 | Learning Cross-view Correspondences for Geo-localization on Planetary Surfaces – Marcus Märtens | Resource-Efficient Super-Resolution for Multispectral Data: a Progressive Focused Transformer Approach – Marco Mario Ciamarra |
| 11:30 | On the Geometry of Learned Representations in Event-Based Multi-Modal Egomotion Estimation – Stefano Silvestrini | Towards Robust and Efficient Multispectral Change Detection – Swarnava Dey |
| 12:00 | Memetic Co-design of 2D Locomotion at Variable Gravity – Leone Costi | An Automated Pipeline for Generating Multi-hop Question-Answer Benchmarks for RAG Systems Evaluation in Spacecraft Operations – Matthis Houlès |
| 12:20 | AI-Enhanced Spatial Reconstruction in Thin Plastic Scintillators for Compact Space Weather Monitors – Danilo Elenterio | Multi-Agent Work Flow for Automated MBSE Model Generation: A Satellite System Case Study – Hairun Xie |
| 12:40 | Breccia and basalt classification of thin sections of Apollo rocks with deep learning – Freja Thoresen | Analysis of Space Research through Neural Topic Modeling leveraging Large Language Models – Ruben Catarino Belo |
| 13:00–14:30 | Lunch | |
| 14:30–16:00 | Unconference session | |
| 16:00–16:30 | Coffee break | |
| 16:30–18:00 | Unconference session | |
| 18:00 | Depart via public bus | |
| 20:00 | Conference dinner | |
Friday 23 October 2026
| Time | Track A | Track B |
|---|---|---|
| 09:00–10:00 | Keynotes by Andrea Connell (30 min) and Dr. Steve Chien (30 min) | |
| 10:00–10:30 | Coffee break | |
| 10:30–11:30 | Poster session 2 (23 posters) | |
| 11:30–12:50 | EO / OPS | AST |
| 11:30 | Robust Flood Extent Mapping with Gated Fusion of Multi-Temporal and Multimodal Sentinel Observations – Andreas Luyts | Fun with Q1: Scouring the First Euclid Data for Astrophysical Anomalies with AnomalyMatch – Pablo Gómez |
| 11:50 | Physics-Guided Multimodal Deep Learning for Bolide Detection from Geostationary Satellite Observations – Dario Ruggeri | Improving Faint Object Detection for Space Situational Awareness with Variational Autoencoders – Angela Cratere |
| 12:10 | Methane Detection On Board Satellites from Unorthorectified Imagery – Luca Marini | Developing a digital twin of MagAO-X for telemetry-based post-processing of high contrast imaging data – Matthijs Mars |
| 12:30 | FloodCatch: Physics-Guided Machine Learning for Flood Dynamics Monitoring Between Sentinel-1 Acquisitions – Jiayi Cai | Traceable Spectral Inference via Influence Functions: Efficient Data Attribution and Error Proxies for the Ariel Mission – Nikki Grens |
| 13:00–14:30 | Lunch | |
| 14:30–15:50 | OAI | SFD / GNC |
| 14:30 | Leveraging parallel computing for a visual onboard attitude tracking algorithm on qualified space hardware – Giacomo Battaglia | Improving On-board Shape Models Using Sun Sensors and Implicit Representations – Zacharia A. Rudge |
| 14:50 | Prior knowledge-informed centroiding CNN for planetary and small bodies navigation – Umberto Mondini | Identification of the Gravitational Constant from Satellite Trajectories Using Neural Ordinary Differential Equations – Katarina Dyreby |
| 15:10 | An AI-Driven Framework for Automated Identification and Classification of Multi-Label Solar Radio Bursts – Aditya Ade | Second-Order Gradient-Informed Spacecraft Neural Guidance – Zhong Zhang |
| 15:30 | Agile Earth Observation Satellite Scheduling with Hybrid Repair and Pointer-Based Reinforcement Learning – Fabio Favaretto | Learning-Based Reconstruction of Space Resident Objects from Single Orbit Data – Alessandro Scarciglia |
| 16:00–16:30 | Conference closing | |
Poster Presentations (47)
Posters are presented across two dedicated 60-minute sessions: Wednesday 21 October, 16:00–17:00 and Friday 23 October, 10:30–11:30. The allocation of individual posters to each session will be announced in due course.
- Enhancing AI Trustworthiness in Rover Navigation: Risk-Aware Path Planning through Uncertainty Quantification – Théo Gachet
- Deep Learning Approximation of Model Predictive Control for Efficient On-board Spacecraft Attitude Stabilization – Francesco Staffieri
- Launcher Trajectory Criticality Prediction using Recurrent Neural Networks – Arthur Péquin
- LLM-Augmented Strategic Foresight for National Space Programme Planning: A Framework for Emerging Space Nations – Dr. Lenin A. Luna Díaz
- Recurrent Deep Reinforcement Learning for Autonomous Low-Thrust Interplanetary Capture – Alessandro Costa
- Structure-Aware Unsupervised Anomaly Detection for Spacecraft Telemetry with Adaptive EVT Thresholding – Óscar Alcarria Laserna
- Exploring the Trade-Off Between Structured Pruning and Fault Tolerance in Deep Neural Networks for Space Applications – Toon Vinck
- Physics-Informed ConvLSTM Networks for Transient Thermal Modeling of Spacecraft PCBs – Ismael Gallo-López
- Incremental Online Learning on the European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry – Jonathan Langer
- Deep Autoencoder Models of Cislunar Orbit Families – Thomas H Clark
- Marker-Free Computer-Vision-Driven Autonomous Docking for a Space Interface – Andoni Benito González
- Detecting Lunar Craters at Scale – Patrick Bauer
- Offline Approximate Value Iteration: A Reinforcement Learning Approach for Satellite Constellation Deployment – Tristan Leuridan
- A Hardware-Aware Comparison: Keypoint vs. End-to-End Pose Estimation for Space Objects – Andreas Rebsamen
- VSTB: A Camera-in-the-Loop Testbed for Space Vision AI – Andreas Rebsamen
- GeoAI in Practice: Evaluating a Unified Open-Source Library for Geospatial AI – Adriano Gentile
- Aligning Human Oversight in Aerospace: A Cross-Sector Approach to Operationalized Trustworthy AI – Sofia Kyrampalidou
- Planet detection in protoplanetary disks by symmetry exploitation and contrastive learning – Alexandra Murariu
- Quantum-Inspired Convolutional Networks for High-Resolution Pseudo-Label Generation from Multimodal Earth Observation Data – Abhishek Singh
- Reinforcement learning for co-planar multi-target mission planning with a solar sail in Low Earth Orbit – Arturo De Marinis
- Reinforcement Learning Optimized Magnetic Field Control for Nuclear Fusion based Propulsion – Preeti Nair
- Covariance Estimation for Orbit Determination with Physics-Informed Extreme Learning Machines – Benedikt Aigner
- SYNDAQ: Synthetic Data Generation and Qualification – Jose Martinez Heras
- AI-based Classification of Simulated Cosmic Radiation Bit Upsets into the SRAMs of a Commercial-grade FPGA – Artur Kazak
- SPACE-KBP: A Dataset for End-to-End Knowledge Base Population in the Space Mission Domain – Jose Manuel Gomez-Perez
- Stellar Apps: software execution platform for AI in space – Arnau Prat
- Reinforcement Learning-Optimized Sensor Placement for Boosting Large-Scale Surrogate Hydrological Models – Amir Aieb
- Uncertainty-Aware Surrogate Modeling of Thrust Vectoring Performance in Differentially Throttled Linear Aerospike Nozzles – Bernard Postrach
- Reducing false positives in wide-field astronomical streak detection using a lightweight CNN classifier – Vincent Fiszbin
- Image-Based Granulometry for Planetary Surfaces: Methods, Limitations, and Application to the ExoMars Mission in the GRAINS project – Cristina Luna
- From Ground to In-Orbit: Enabling Real-Time On-Board Anomaly Detection with ATHMoS – Kathrin Helmsauer
- Online Learning for Dynamic Constellation Topologies – João Norberto
- Transformer attention as a domain clustering tool for space survey machine learning pipelines – Saamie Helena Vincken
- Impact of State Representation on Machine Learning–Based Time-of-Flight Estimation for MEO Rendezvous Missions – Volkan Paksoy
- A Cross-Task Analysis of Post-Training Quantization Robustness in Earth Observation – Franz Figueroa Guaylupo
- A Data-Driven Framework For Space-Tailored State Of Health Battery Management System – Roberto Giovanni Sbarra
- Differentiable Mascons: A Spatial–Mass Joint Optimization Framework for Asteroid Gravity Inversion – Yaqiong Wang
- Accelerating Integer-Quantized AI and Related Workloads in a Space-Grade Multicore Processor via SWAR ISA Extensions – Martin Daněk
- MANUSAT: Onboard Edge AI Health Monitoring for CMG Bearing Fault Detection – Eleonora Mariotti
- Reinforcement Learning Based Satellite Swarm Formation and Collision Avoidance System – Sivakrishna Manoj
- Early Detection of Satellite Telemetry Data Anomalies using Hyperdimensional Computing – Benjamin Scott
- Boosting Sentinel-2 Crop Disease Classification via Self-Supervised Pretraining: A Comparative Study of CNN and SwinV2 Backbones – Salvatore Cassano
- Rapid Prediction of Exoplanetary Cloud Properties via Autoencoders – Amit Reza
- Automated Satellite Conjunction Management with Transformer-Based Bayesian Deep Learning Approach – Amirah Almmutairi
This programme is preliminary and may still be subject to change. Session chairs and room allocations will be announced in due course.