This workshop, designed for undergraduate and graduate students, provides a comprehensive introduction to particle physics, high-energy physics (HEP) experiments, and machine learning. Through a series of lectures and hands-on sessions, participants will explore core concepts in these fields and gain experience applying machine learning techniques to data from the ATLAS experiment.
Participation is free of charge and limited to selected applicants. The program includes complimentary lunch and coffee, along with a networking social event, offering opportunities to connect with professionals in the field. The workshop concludes with a career development session focused on crafting CVs, applications, and research statements, ensuring participants are equipped with both academic insights and practical guidance.
Special Talk on Artificial Intelligence: Dr. Claire David (AIMS institute, ZA)
Organizing Committee
- Joseph Haley (Oklahoma State University)
- Prajita Bhattarai (SLAC National Accelerator Laboratory)
- Roshan Joshi (Ohio State University)
- Santosh Parajuli (University of Illinois Urbana-Champaign)
- Susan Bataju (Southern Methodist University)
Advisor
Suyog Shrestha (Washington College, USA)
Local Organizing Committee
- Angel Bashyal (Tribhuvan University)
- Ashok Chaudhary (Tribhuvan University)
- Bikash Thapa (Tribhuvan University)
- Keshab Chaudhary (Tribhuvan University)
- Niraj Dhital (Tribhuvan University)
- Pawan Joshi (Tribhuvan University)
- Raju Khanal (Tribhuvan University)
Supported By:
HDR ML Challenge: Participants will also take part in the NSF HDR ML Challenge, where they will apply machine learning to identify anomalies within complex scientific datasets.
