important: In addtion to the regstration, you need "KEK user registration". Please proceed KEK user registration as soon as possible.
This regional workshop aims to connect researchers in East Asia and beyond working in the interdisciplinary field of Artificial Intelligence and High Energy Physics (AI+HEP). The main topics covered include machine learning for particle theory, phenomenology, experiments, lattice simulations, and astrophysics and cosmology, as well as HEP tools for AI.
The workshop will have invited plenary talks, contributed presentations, and ample time for discussions. Both domain experts and those who are interested in exploring the field are welcome to participate, especially postdocs and graduate students. Enthusiastic undergraduates are also warmly welcomed. The goals are to foster a regional research community and to stimulate more collaborations.
Deadline
If you need a visa, please complete "meeting registration", "KEK user registration" and follow visa-tab instruction by Nov 19.
Dec 10 otherwise.
Workshop Venue
Auditorium room, Building #3, KEK, Japan
Invited Speakers:
- Koji Hashimoto (YITP) (TBC)
- Gert Aarts (Swansea University)
- Mei Huang (UCAS)
- Vinicius Mikuni (NagoyaU)
- Akio Tomiya (TWU/KyotoU)
- Long-Gang Pang (CCNU)
- Manqi Ruan (IHEP) (TBC)
- Shuzhe Shi (THU) (TBC)
- Liang Li (SJTU)
- Gregor Kasieczka (UHamburg) TBA
- Tianji Cai(Tonji )
- Akshunna S. Dogra(MIT)
- Shoichi Oshino (U.Tokyo)
- Yusuke Sakai(TCU)
Organizing Committee:
- Tianji Cai (TongjiU)
- Sung Hak Lim (CTPU-PTC, IBS)
- Marco Meyer-Conde (TCU)
- Masahiro Morinaga (UTokyo-ICEPP)
- Lingxiao Wang (RIKEN/UTokyo)
- Ahmed Hammad(KEK）
- Mihoko Nojiri (KEK)
Advisory Committee:
- Mihoko M. Nojiri (KEK)
- Satoshi Iso (RIKEN/KEK)
- Koji Hashimoto (KyotoU)
- Yanqing Ma (PekingU)
- David Shih (Rutgers)
- Matthew R. Buckley (Rutgers)
- Gregor Kasieczka (UHamburg)
Past conference
1st AI+HEP in East Asia: https://indico.ibs.re.kr/event/789/
Acknowledgment
This workshop is mainly funded and supported by KEK and RIKEN-iTHEMS in Japan. The workshop is partly supported by 22H05113, 25H01560 “Foundation of Machine Learning Physics”, Grant in Aid for Transformative Research Areas, and JPMJBY24H9, JST-BOOST Grant, Japan
