Andrea Lama is currently a Ph.D. student in Modeling and Engineering Risk and Complexity at Scuola Superiore Meridionale.
He obtained his master degree in Physics at the University of Rome La Sapienza in October 2021 with a thesis on collective behavior in starlings flocks.
He is currently working on a project on the herding of large-scale multi-agent systems titled "Solving the multi-agent herding problem through a combination of control theoretic, analytical, and computational tools: theory and applications " under the joint supervision of Prof. Mario di Bernardo (University of Naples Federico II ), Prof. Konstantinos Siettos (University of Naples Federico II), Prof. Mirco Musolesi (University College London), and Prof. Michael Richardson (Macquarie University ).
Journal
A. Lama, M. di Bernardo, "Shepherding and herdability in complex multiagent systems", Physical Review Research, vol. 6, no. 3, p. L032012, 2024
Lama, A., di Bernardo, M. & Klapp, S.H.L., "Nonreciprocal field theory for decision-making in multi-agent control systems", Nature Communications 16, 8450 (2025).
Confereces Proceedings
I. Napolitano, A. Lama, F. De Lellis, M. di Bernardo, "Emergent Cooperative Strategies for Multi-Agent Shepherding via Reinforcement Learning", 23rd European Control Conference (ECC), 24-27 June, pp. 1809-1814, 2025.
Preprints
I. Napolitano, S. Covone, A. Lama, F. De Lellis, M. di Bernardo, "Hierarchical Learning-Based Control for Multi-Agent Shepherding of Stochastic Autonomous Agents", submitted to IEEE Transaction on Control Systems Technology, 2025