Between 8th and 12th of July, our colleague, dr. Daniel Tonoiu, participated at the 2nd edition of International Conference on Machine Learning for Astrophysics (ML4ASTRO2) where he presented the poster “GWEEP: A Deep Learning Toolkit for Gravitational Wave Analysis”.
If you are curious about the presented study, check out Daniel’s poster below:
Between 5th and 7th of November, we attended the LISA Astrophysics Working Group meeting which was hosted by Max Plank Institute for Astrophysics in Garching, Germany. During these three days, our colleague, Florentina Pislan, gave an update on the LECS (LISA Early Career Scientists) group and also showed a slide on her study “Observational Catalogue of Binary Sources and Database of Associated Gravitational Waves”.
Between 13 - 21 July 2024, our team attended the COSPAR 2024 conference held at BEXCO in Busan, Korea. During the 8 days of the conference, we delivered 4 talks in the parallel sessions and presented 2 posters.
More about the COSPAR 2024 conference can be found here.
You can see the posters below, by clicking on their photos below.
Between 7 - 12 July 2024, our team attended the LISA Symposium 2024 that took place in Dublin, Ireland. During the 6 day of the symposium we presented 5 posters, gave one plenary talk (Florentina Pislan for LISA Early Career Scientists - LECS group) and chaired one session (Laurentiu Caramete - “Noise Artefacts” parallel session).
Laurentiu Caramete was also one of the members of the Scientific Organising Committee of the symposium.
More about the Symposium can be found on its website.
Pictures from the conference can be found here.
You can see the posters online, by clicking on their photos below.
Between 8th and 12th of July, our colleague, dr. Daniel Tonoiu, participated at the 2nd edition of International Conference on Machine Learning for Astrophysics (ML4ASTRO2) where he presented the poster “GWEEP: A Deep Learning Toolkit for Gravitational Wave Analysis”.
If you are curious about the presented study, check out Daniel’s poster below:
