S. Malik

This researcher's publication record centers on high energy physics, particularly large collaborative particle physics experiments (such as searches for new particles like charged Higgs bosons), as well as applying machine learning methods like deep learning and diffusion models to analyze particle collision data (jet image classification). A notable secondary theme involves training, onboarding, and career development programs within high energy physics research communities. The listed publications also include some unrelated topics (agriculture, sports science, climate modeling, medicine), which may reflect a shared name or co-authorship on a large multi-author collaboration rather than a single individual's focused expertise.

Publication counts (likely reflecting a large collaborative experiment) declined from a peak of 160 in 2018 to lows around 70-88 in 2021-2023, then rose again to 125 in 2024, suggesting a fluctuating rather than steadily growing pattern.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026