معرفی
Professor Adam Amara is the Head of the School of Mathematics and Physics at the University of Surrey. His research focuses on observational cosmology, galaxy formation, and gravitational lensing, primarily utilizing data from the Euclid space telescope. He leads efforts in photometric redshift calibration, strong lensing detection algorithms, and intracluster light studies.
Amara's work involves developing machine learning tools for galaxy morphology analysis and physical parameter extraction. He contributes to the Euclid mission's scientific ground segment, including simulation frameworks and data calibration techniques. His recent studies include investigations into ram-pressure stripping in galaxy clusters and protocluster candidates in the early universe.
Key achievements include pioneering the Strong Lensing Discovery Engine (SLIDE) for automated lens detection and advancing methodologies for 3D galaxy clustering analysis. His research bridges observational astronomy with cosmological parameter inference, leveraging large-scale surveys to probe dark matter and dark energy.
Amara collaborates extensively with global teams, including contributions to the Euclid Quick Data Release (Q1) analysis of ultracool dwarfs and active galactic nuclei. His work has implications for understanding galaxy evolution, cosmic structure formation, and the interplay between galaxies and their environments.
