معرفی
Kevin Lannon is a Professor of Physics & Astronomy at the University of Notre Dame's College of Science, serving as Associate Dean for Faculty Affairs. His research focuses on understanding the top quark's mass hierarchy through CMS detector analyses, effective field theory, and machine learning applications. He leads the Cyberinfrastructure to Accelerate Machine Learning (CAML) GPU cluster initiative and has pioneered opportunistic computing strategies using 10,000-25,000 CPU cores.
- B.S., St. Norbert College (1997)
- Ph.D., University of Illinois, Urbana-Champaign (2003)
Research emphasizes top quark-Higgs interactions, FPGA-based track triggers, and data-intensive computing. Recent work includes neural network optimization for LHC data and dynamic resource management. He holds the 2020 Joyce Award for Undergraduate Teaching excellence.
- Key Projects: Track Trigger Upgrade (FPGA-based), Lobster workflow tool, Deep Learning for Particle Reconstruction
- Grants: CAML GPU Cluster (ND/OSG), CMS Tier-3 Site Scaling
Labs/Teams: CMS Collaboration, Notre Dame High Energy Physics Group, CRC Data Science Initiative.
