elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

Europlanet Machine Learning Working Group: a year of progress

Ivanovski, S. and Verma, Nimisha and Hatipoğlu, Yray and Angrisani, Marianna and Solmaz, Arif and Smirnov, Evgeny and Carruba, Valerio and Kacholia, Devanshi and Oszkiewicz, Dagmara and D'Amore, Mario (2025) Europlanet Machine Learning Working Group: a year of progress. EPSC-DPS Joint Meeting 2025, 2025-09-07 - 2025-09-12, Helsinki, Finland. doi: 10.5194/epsc-dps2025-1815.

Full text not available from this repository.

Official URL: https://meetingorganizer.copernicus.org/EPSC-DPS2025/EPSC-DPS2025-1815.html

Abstract

The rapid advances in machine learning (ML) present unprecedented opportunities for planetary science. We have established a dedicated working group (WG) focused on the application of ML in this field to harness these technological advancements, address complex scientific questions, and enhance our understanding of planetary systems. The Europlanet Machine Learning Working Group held its kick-off meeting during the EPSC 2024 in Berlin, September 2024. The discussion focused on launching the group for exchanging ideas and opportunities with people within and outside of Europlanet’s membership for the first year of its launch. Some of the main goals established were to create a knowledge-sharing platform for members to share their research and invite collaboration, form sub-groups within the WG to expand on current research focus, and foster new collaborative research opportunities within or outside of Europlanet with new funding. As of May 2025, the Europlanet Machine Learning Working Group has 30 members. Better still, the group has so far been able to attract both senior and early career members. The WG will build upon the achievements of the Europlanet RI project, which has addressed a broad range of ML applications across planetary research. The new group will delve deeper into specialized areas and foster collaboration and knowledge exchange. This targeted approach will enable the development of tailored ML solutions, drive innovation, and accelerate scientific discoveries.

Item URL in elib:https://elib.dlr.de/217109/
Document Type:Conference or Workshop Item (Speech)
Title:Europlanet Machine Learning Working Group: a year of progress
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ivanovski, S.Istituto di Astrofisica e Planetologia Spaziali, Istituto Nazionale di Astrofisica (INAF), Via Fosso del Cavaliere, 100, 0133 Rome, ItalyUNSPECIFIEDUNSPECIFIED
Verma, NimishaUNSPECIFIEDhttps://orcid.org/0000-0002-7401-1509UNSPECIFIED
Hatipoğlu, YrayFIRE Araştırma Eğitim Ltd. Şti., Ankara, TürkiyeUNSPECIFIEDUNSPECIFIED
Angrisani, MariannaINAF-Istituto di Astrofisica e Planetologia Spaziali (INAF-IAPS)UNSPECIFIEDUNSPECIFIED
Solmaz, Arifİstanbul Health and Technology Üniversity, Mechatronics Engineering Department, 34445, İstanbul, TürkiyeUNSPECIFIEDUNSPECIFIED
Smirnov, EvgenyBelgrade Astronomical Observatory, Belgrade, SerbiaUNSPECIFIEDUNSPECIFIED
Carruba, ValerioSchool of Natural Sciences and Engineering, Sao Paulo State University (UNESP), Brazilhttps://orcid.org/0000-0003-2786-0740UNSPECIFIED
Kacholia, DevanshiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Oszkiewicz, DagmaraAstronomical Observatory Institute, Adam Mickiewicz University, PolandUNSPECIFIEDUNSPECIFIED
D'Amore, MarioUNSPECIFIEDhttps://orcid.org/0000-0001-9325-6889UNSPECIFIED
Date:9 July 2025
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:18
DOI:10.5194/epsc-dps2025-1815
Series Name:EPSC Abstracts
Status:Published
Keywords:Machine Learning, Working group, Europlanet
Event Title:EPSC-DPS Joint Meeting 2025
Event Location:Helsinki, Finland
Event Type:international Conference
Event Start Date:7 September 2025
Event End Date:12 September 2025
Organizer:Europlanet and DPS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Space Exploration
DLR - Research theme (Project):R - Project BepiColombo - MERTIS and BELA
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Institute of Planetary Research > Planetary Laboratories
German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Verma, Ms Nimisha
Deposited On:02 Oct 2025 11:22
Last Modified:02 Oct 2025 11:29

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.