I will place these possible signals in the broader context of the search for new phenomena at high energies, their implications for future colliders, and their potential role in shaping the next phase of particle physics. I will also briefly describe recent advances in Agentic AI for particle physics and science, where AI systems can assist with detector operations, and increasingly sophisticated analysis workflows. This emerging paradigm has the potential not only to accelerate discovery in particle physics, but also to contribute to a new model of AI-enabled scientific research more broadly.
报告人简介：Bruce Mellado, PhD (Columbia University), has held professorships in the United States, South Africa, and at the Institute of High Energy Physics of the Chinese Academy of Sciences. He has served in multiple leadership roles at the European Laboratory for Particle Physics (CERN). He was the Institutional Board Chair and now he is the Deputy Project Leader of the Tile Calorimeter of the ATLAS experiment. His work has been recognized with several prestigious awards, including the TW Kambule-NSTF Prize for Research (2021), the Vice-Chancellor’s Prize for Research (2022), and the ODESS2025 Prize from the Pierre Fabre Foundation in France (2025), among others. He is a Fellow of both the African Academy of Sciences and the Academy of Science of South Africa.
An expert on the Higgs boson, Prof. Mellado was a leading contributor to its discovery, which culminated in the 2013 Nobel Prize in Physics. His team pioneered the identification of multi-lepton anomalies at the Large Hadron Collider, leading to the prediction of a new Higgs boson with a mass of around 150 GeV.
