Andreagiovanni Reina

Andreagiovanni Reina is a Research Group Leader at the Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz and the Max Planck Institute of Animal Behavior in Germany. He leads the GIO Lab, focusing on understanding and engineering self-organized collective behavior in decentralized systems such as robot swarms and biological groups. His interdisciplinary work integrates statistical physics, network science, and robotics to design scalable and resilient coordination mechanisms.

Reina holds a PhD in Computer Science from Université Libre de Bruxelles (ULB) and has held academic positions including FNRS Research Fellow at ULB and Research Fellow at the University of Sheffield. He collaborates with institutions like IRIDIA (ULB) and the Natural Robotics Lab (Sheffield). His research emphasizes group decision-making, swarm robotics, and collective cognition, with applications in robotics, environmental monitoring, and artificial intelligence.

Key research interests include: (1) Decentralized coordination in robot swarms, (2) Mathematical modeling of collective intelligence, (3) Resilience in heterogeneous systems, and (4) Applications of swarm robotics in environmental sensing. His lab employs both theoretical models and physical experiments with kilobot swarms.

Notable achievements include the FNRS Research Fellowship (2021-2023) and leadership in projects like the EU-funded DiODe ERC grant and the ONRG Swarm Awareness initiative. His lab has produced over 38 publications and collaborates across disciplines including theoretical biology, cognitive neuroscience, and robotics engineering.

Advising highlights include supervising 19+ PhD and MSc theses on topics like blockchain-based swarm coordination, Byzantine-fault tolerance in SLAM, and heterogeneous decision-making models. Current lab members include researchers from institutions like Swansea University and Politecnico di Milano.

His work is supported by advanced facilities at the CASCB, leveraging interdisciplinary infrastructure for collective behavior studies across scales—from microbial systems to large-scale robotic networks.