제11회 Korea Astronomy Machine Learning meeting - “LSST with AI”에 많은 관심을 부탁드립니다.

* 등록 기한: 2025년 4월 25일 (금)

* Rubin Data Right Holder (DRH) 여부와 상관 없이 참여 가능

* 수도권 외 지역에서 참여하는 학생 숙박 지원 (1인 1실)

[Original Announcement]

Announcement of 11th Korea Astronomy Machine Learning meeting - "LSST with AI" 

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Dates: May 13-14, 2025

Location: LW Convention, 서울 중구 청파로 464 3층

Website: https://sites.google.com/view/lsst-with-ai-kaml-2025

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We are pleased to announce the 11th Korea Astronomy Machine Learning Meeting, Spring 2025, "LSST with AI".  As in the past ten meetings, this will be a venue for astrophysicists and cosmologists in Korea to exchange ideas and formulate new projects by harnessing the power of machine learning.  Even if you have not attended any of the previous meetings, you are still very welcome to attend and participate!

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This meeting is intended to benefit anyone who wants to learn how to apply machine learning techniques to large astronomical data sets. So you do not need to have Rubin data rights, or even be planning to use LSST data, to benefit from this workshop. Much of the meeting will be practical sessions, where participants can learn and apply machine learning techniques to data, using Google Colab. All are welcome! 

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You can register using the Registration form on the website. There is no registration fee to attend this meeting. Lunch will be provided at the venue if you choose the lunch option during registration. We will also support accommodation for the students from outside of Seoul and Gyeonggi Province to apply for support. There will be no online access, and so all participants must attend in person. 

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Invited Speakers:

* Paula Sánchez Sáez (ESO)

* Sanjaya Paudel (Yonsei U.)

* Satadru Bag (Technical University of Munich)

* Suk Kim (Chungnam National University)

Scientific Organizing Committee:

* David Parkinson (Co-chair, KASI)

* Yun-Kyeong Sheen (Co-chair, KASI)

* Cristiano Sabiu (U. Seoul)

* Min-Su Shin (KASI)

* Sungwook E. Hong (KASI)

* Chandra Shekhar Saraf (KASI)

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Contact:

David Parkinson davidparkinson@kasi.re.kr

Yun-Kyeong Sheen yksheen@kasi.re.kr