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(Upcoming presentations: Dracek)
Riadok 17: Riadok 17:
 
== Upcoming presentations ==
 
== Upcoming presentations ==
 
[[Image:Doctoral-colloquia-Peter-presenting.jpg|frameless|right|240px|Peter Anthony presenting a DAI Doctoral Colloquium]]
 
[[Image:Doctoral-colloquia-Peter-presenting.jpg|frameless|right|240px|Peter Anthony presenting a DAI Doctoral Colloquium]]
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=== František Dráček: <cite>Anomaly detection from TLE data</cite> ===
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The burgeoning number of objects in Low Earth Orbit (LEO) poses a critical challenge for satellite operators, demanding robust collision avoidance measures. Although extensive databases track these objects, identifying anomalies within this data is crucial. This research investigates the application of machine learning methods to automatically detect anomalies in satellite data, potentially enhancing space situational awareness and safeguarding future space operations.
  
 
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Verzia zo dňa a času 19:08, 28. február 2024

Doctoral Colloquia

PhD Students watching a presentation at a DAI Doctoral Colloquium
Project TERAIS

Doctoral colloquia are a platform for PhD students at DAI to present their research a wider departmental audience, exchange ideas, and foster friendships. They are organized on a weekly basis during the semester by assoc. prof. Damas Gruska. They are among the activities within the TERAIS project, aimed at elevating DAI to a workplace of international academic excellence.

When
weekly on Mondays at 13:10 (during the teaching part of the semester)
Where
I-9 and online in MS Teams

Recap of the first semester of Doctoral Colloquia (Summer 2023)

Upcoming presentations

Peter Anthony presenting a DAI Doctoral Colloquium

František Dráček: Anomaly detection from TLE data

The burgeoning number of objects in Low Earth Orbit (LEO) poses a critical challenge for satellite operators, demanding robust collision avoidance measures. Although extensive databases track these objects, identifying anomalies within this data is crucial. This research investigates the application of machine learning methods to automatically detect anomalies in satellite data, potentially enhancing space situational awareness and safeguarding future space operations.

Presentations Plan
PhD Student Date
Peter Anthony 26. 2.
František Dráček 4. 3.
Daniel Kyselica 11. 3.
Elena Štefancová 18. 3.
Janka Boborová 25. 3.
Marek Šuppa 8. 4.
Radovan Gregor 15. 4.
Fatana Jafari 22. 4.
Filip Kerák 29. 4.
Pavol Kollár 6. 5.
Ján Pastorek 13. 5.

Past presentations

Summer semester 2023/24

None yet.

Winter semester 2023/24

To appear.


Summer semester 2022/23

To appear.