ONLINE CONFERENCE, September 4th, 2020

Organized by CLAIRE and ESA, in association with ECAI2020


Session 1: AI & Space Exploration (Sess. chair: Sašo Džeroski, JSI & ESA/ESRIN PhiLab)

Starts at 09:00

K1: 20’+6 Machine Learning for Space and Planetary Exploration Kiri Wagstaff NASA/JPL, US
P1: 10’+3 Galaxai: machine learning for spacecraft operations Matej Petković BVLabs/IJS, Slovenia
P2: 10’+3 Onboard and ground-based automated scheduling for the
mars 2020 rover mission
Steve Chien Caltech, US
P3: 10’+3 Using flexible execution, replanning, and model parameter updates
to address environmental uncertainty for a planetary lander
Daniel Wang JPL/Caltech, US
P4: 7’+3 Rover teleoperation through machine coaching Loizos Michael OUC/RISE, Cyprus
P5: 7’+3 Artificial intelligence powered chatbot for the astronauts Anitha S Pillai HITS, India
X1: 7’+3 Extending the autonomy envelope of space applications: a research path Angelo Oddi ISTC-CNR, Italy
Session 2: AI & Earth Observation A (Sess. chair: Bertrand Le Saux, ESA/ESRIN PhiLab)

Starts at 10:40

K2: 20’+6 AI and Data Science in Earth Observation Xiaoxiang Zhu TUM/DLR, Germany
P6: 10’+3 Aitlas: a toolbox of ai methods tailored for earth observation data Ivica Dimitrovski BVLabs/FINKI, Slovenia/North Macedonia
P7: 10’+3 Transcoding-based self-supervised learning for semantic segmentation of polsar imagery Ronny Hänsch DLR, Germany
P8: 10’+3 Scalable big data and deep learning techniques for copernicus data Manolis Koubarakis UoAthens, Greece
Session 3: AI & Earth Observation B (Sess. chair: Leon van der Torre, U of Luxembourg)

Starts at 12:00 noon

P9: 7’+3 Combination of ai, semi-physical models, and in-situ data for earth observation applications Mirta Pinilla Starlab, Spain
P10: 7’+3 Role of machine learning techniques for spatial interpolation of environmental variables Chorapalli Jayendra Praveen Kumar ISRO, India
P11: 7’+3 Clustering geo-data cubes Raul Zurita-Milla UoTwente, The Netherlands
P12: 7’+3 Cloud removal from satellite multispectral images using edge filtered mcgan Andrzej Mizera University of Luxembourg, Luxembourg
K3: 20’+6 AI, Space Data and the Promise of Improved Planetary Stewardship James Parr FDL/NASA/ESA, UK
Session 4: AI for Astronomy & Space Events (S.Ch.: Dragi Kocev, BVLabs/JSI)

Starts at 14:15

K4: 20’+6 AI in Space in an Age of Deep Industrial Transformation Lucien Rapp University of Toulouse 1/HEC
P13: 10’+3 Separating stars from quasars: machine learning investigation using photometric data Snehanshu Saha BITS Pilani, India
P14: 10’+3 Machine learning in heliophysical applications: the example of unsupervised solar wind classification Jorge Amaya KULeuven, Belgium
P15: 7’+3 Aida: ai data analysis with application to the detection and prediction of space events Giovanni Lapenta KULeuven, Belgium
P16: 7’+3 A deep learning approach to space weather proxy forecasting for orbital prediction Emma Stevenson UP Madrid, Spain
Session 5: AI & Space - Present and Future (S.Ch.: Sašo Džeroski, JSI & ESA/ESRIN PhiLab; Panel moderator: Cristiana Teixeira Santos, U of Luxembourg)

Starts at 15:45

20’+6 Artificial Intelligence in ESA: Vision, Strategy and Applications Alessandro Donati ESA/ESOC, Germany
Panel: AI & Space - The Present, Lessons Learned, and the Future
15' Short position statements by the panel members Maxime Puteaux
Robert Zubrin
George Anthony Long
Claudia Muresan Jorge Del Rio Vera
Pioneer Astronautics
Legal Parallax
44' Panel discussion

Keynote talks are shown in bold. The presentation ID (K=keynote, P=contributed presentation) and duration of each talk (presentation+questions) in minutes are listed first. The overall schedule is given below. All times are CEST = GMT/UTC + 2:00.


08:55 Conference opening 5’ duration no break
09:00-10:35 Session 1: AI & Space Exploration 95’ duration 5’ break
10:40-11:45 Session 2: AI & Earth Observation A 65’ duration 15’ break
12:00-13:06 Session 3: AI & Earth Observation B 66’ duration 69’ lunch break
Lunch break
14:15-15:27 Session 4: AI for Astronomy & Space Events 72’ duration 18' break
15:45-17:10 Session 5: AI & Space - Present and Future 85’ duration no break
17:10-17:15 Conference closing 5’ duration the end