PROGRAM

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	Euroconsult Pioneer Astronautics Legal Parallax EC, DG DEFIS UNOOSA
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.

OVERALL SCHEDULE

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