We are pleased to announce the 3rd ICFA Beam Dynamics Mini-Workshop on Machine Learning Applications for Particle Accelerators will be held in Chicago, Il, USA. This will be the third workshop in a series that began in 2018 at SLAC, CA, USA followed by a second workshop held at Villigen PSI, Switzerland in 2019. A third workshop had been planned to be held in Seoul, Korea in 2020, but unfortunately had to be canceled due to the COVID-19 pandemic.
The goal of this third workshop is to continue to work on building a world-wide community of researchers and engineers interested in applying artificial intelligence and machine learning technologies to particle accelerators.
The workshop will consist of four topics:
- Prognostics/alarm handling/anomaly-breakout detection
- Data analysis
Talks will be given by practitioners from various accelerator facilities around the world. The workshop aims to:
- Collect and unify the community’s understanding of the relevant state-of-the-art ML techniques.
- Provide a tutorials of machine learning for accelerator physicists and engineers.
- Seed collaborations between laboratories, academia, and industry.
Please contact the organizers if you are interested in attending.
Registered participants are invited to attend the Meet & Greet which will be held in the Palmer House a Hilton Hotel Honore Ballroom on November 1st from 6-8 p.m.
We're sorry, all students have been selected for the five scholarships.
The Center for Bright Beams with support from the National Science Foundation (NSF) is sponsoring five scholarships for graduate students to cover registration fees. Graduate students who are interested should email their request to Anna Petway at firstname.lastname@example.org.
- Kevin Brown (BNL)
- Sandra Biedron (CBB and EA)
- Anna Petway (BNL)
- Christina Blas (BNL)
- Bryan Callaghan (BNL)
- Linh Nguyen (BNL)
When booking your reservation, you may need to guarantee your room with a credit card. Check with your hotel about their cancellation policy and if they offer shuttle service. Details...
|August 26, 2022||Registration opens|
|October 7, 2022||Early registration closes|
|November 4, 2022||General registration closes|