معرفی
Alexandru Caliman serves as a Researcher at the Namur Institute for Complex Systems (naXys) within the University of Namur, Belgium. His work focuses on interdisciplinary applications of mathematical physics and machine learning to celestial mechanics, particularly in characterizing extrasolar planetary systems through advanced computational methods.
His core research spans Chaos Detection, Differential Algebra, and Lagrangian Descriptors, with significant contributions to dynamical systems analysis. As part of the CAML project (2021-2026), he develops machine learning algorithms for telescope data to study orbital stability and chaos in space mechanics. His methodology bridges theoretical mathematics with practical astronomical applications, emphasizing improved computational precision for complex nonlinear systems.
His 2025 publication in Physica D demonstrates a breakthrough in chaos detection techniques using differential algebra-enhanced Lagrangian descriptors. This work represents a critical advancement in analyzing chaotic behavior within celestial mechanics, reflecting broader trends toward integrating machine learning with classical dynamical systems theory for space science applications.
At naXys, Caliman collaborates within an interdisciplinary research environment focused on complex systems across physics, astronomy, and computer science. His current work with the CAML team leverages machine learning to address fundamental challenges in extrasolar system characterization, contributing to the institute's mission of solving high-complexity scientific problems through cross-domain methodologies.
