Andrija Vidosavljevic

Andrija Vidosavljevic serves as a Lecturer-researcher at Ecole Nationale de l'Aviation Civile (ENAC) in the OPTIM team within the MORO axis. He is affiliated with the Department of Mathematics and Computer Science at ENAC's School of Aeronautics, where he conducts research at the intersection of optimization theory and air traffic management systems.

Dr. Vidosavljevic's research spans combinatorial optimization, optimization under uncertainty, and mathematical modeling with specific applications to traffic management and air transport systems. His work addresses critical challenges in urban air mobility, airspace design for high-density environments, and trajectory planning for both manned and unmanned aircraft. He has made significant contributions to understanding how traffic structure affects airspace capacity and safety, particularly in constrained urban environments where traditional air traffic management approaches face limitations.

His publication record reveals a clear trajectory toward increasingly complex urban air mobility challenges, with recent work focusing on conflict detection and resolution for constrained urban airspace, centralized separation management for unmanned aircraft systems, and the integration of strategic and tactical approaches to air traffic management. The research demonstrates sophisticated modeling techniques including genetic algorithms, multi-agent systems, and hybrid machine learning approaches to address uncertainty in air traffic systems.

Scientific Recognition:

• Best paper award for the Network Management track at ICRAT 2016 for 'The Influence of Traffic Structure on Airspace Capacity'

Dr. Vidosavljevic has been actively involved in major European research initiatives including the Metropolis project (and its successor Metropolis II), Capacity Optimisation in TrajecTory-based OperatioNs, and the REDUCED SEPARATION MINIMA (RESET) project. His collaborative work spans multiple international institutions, reflecting the global nature of air traffic management research.

He works within ENAC's Applied Mathematics, Computer Science and Automation for Aeronautics Laboratory (MAIAA), specifically in the OPTIM team that focuses on optimization methods for aeronautical applications. His current research within the MORO axis addresses the mathematical foundations of air traffic flow management and airspace design, with particular emphasis on next-generation urban air mobility systems.