Andreas Lolos
Andreas is primarily interested in studying the brain at a microscopic level. His research focuses on modeling the input and output layers of biological neural networks. Additionally, he is involved in developing and analyzing artificial intelligence architectures that are based on biological principles.
Andreas holds an MSc degree in Medical Physics from the Department of Medicine at the National and Kapodistrian University of Athens (NKUA), specializing in Magnetic Resonance Imaging (MRI). He also holds a Bachelor's degree in Physics from the Department of Physics of NKUA, with a specialization in Nuclear and Particle Physics.
He has research experience in studying angular distributions of jets recorded at the Large Hadron Collider (LHC) at CERN. Specifically, during his undergraduate studies, he investigated the angular correlation between jets in dijet systems using the pull vector.
Furthermore, he is actively involved in the development and application of advanced imaging techniques using MRI systems. Specifically, from 2022 to 2023, as part of his MSc thesis, he participated in the organization and analysis of MRI experiments aiming to obtain real-time spatial temperature distributions.

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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