TACTICIAN (ESA funding, Role:PI)

The project’s core objective is to apply Natural Language Processing (NLP), Deep Learning (DL) and Machine Learning (ML) techniques to automatically extract knowledge and insights from published research papers, journal articles, technical documentation, data, and metadata related to ESA science, EO missions and HRE experiments.

SAPS (ESA funding, Role: PI)

ESA’s Science Archives Publication System (SAPS) provides easy access to bibliographical information on scientific publications based on data obtained with ESA’s space science missions. The scientific publications are selected from the literature by field experts (ESA missions project scientists) and prepared for ingestion in SAPS together with additional metadata, related to the field of research, as well as geographical information on the institute of the author leading the research. The main objectives of SAPS are: (i) To provide information on the scientific performance of ESA’s space science missions by examining the refereed missions’ publications. The target is to support the evaluation of the scientific productivity of a space science mission and of how it evolves over time, as well supporting decision-making regarding future science missions., (ii) To provide an easier ingestion of publications metadata and potential links to data, (iii) To provide a central database of all ESA Space Science missions publications that could be used in the future by the Science Archives to link to.

SafeSpace (EU funding, Role: Deputy Project Coordinator)

The SafeSpace project aims at advancing space weather nowcasting and forecasting capabilities and, consequently, at contributing to the safety of space assets through the transition of powerful tools from research to operations (R2O). This will be achieved through the synergy of five well-established space weather models (CDPP solar disturbance propagation tool, EUHFORIA CME evolution model, ONERA Neural Network tool, IASB-BIRA plasmasphere model and ONERA Salammbô radiation belts code), which cover the whole Sun –interplanetary space –Earth’s magnetosphere chain. The combined use of these models will enable the delivery of a sophisticated model of the Van Allen electron belt and of a prototype space weather service of tailored particle radiation indicators. Moreover, it will enable forecast capabilities with a target lead time of 2 to 4 days, which is a tremendous advance from current forecasts, which are limited to lead times of a few hours.

Geant4-based Particle Simulation Facility in Greece for Future Science Mission Support (ESA funding, Role: Deputy PI)

The major vision of the G4G project is the establishment of a strategic, long-term capability of providing space science-related simulations of the interactions of particle radiation with the payloads and systems, both for future missions as well as for the data analysis of past and operating missions.

Time-Frequency Analysis (TFA) Toolbox (ESA funding, Role: WP Leader)

Characterisation of IoNospheric TurbulENce level by Swarm constellation (ESA funding, Role: WP Leader)

SREM and REM Data Consolidation (ESA funding, Role: WP Leader)

Advanced Solar Particle Events foreCasting System (ESA funding, Role: WP Leader)

Hellenic Evolution of Radiation data processing and Modelling of the Environment in Space (ESA funding, Role: WP Leader)

Swarm Investigation of the Role of High-Frequency (0.1-5 Hz) ULF Waves in Magnetosphere-Ionosphere Coupling (ESA funding, Role: WP Leader)

Swarm for Earthquake Study (ESA funding, Role: WP Leader)

Monitoring, Analyzing and Assessing Radiation Belt Loss and Energization (EU funding, Role: WP Leader)