I study distributed AI solutions for coordination, control, and decision-making in complex industrial and socio-cyber-physical systems.

My research focuses on how networked systems can adapt under uncertainty, respond timely, and remain robust at scale. I combine multi-agent learning, collective intelligence, and agent-based modelling and simulation to address challenges in industrial IoT, critical infrastructure, and autonomous operations. I am particularly interested in approaches that are not only technically effective, but also aligned with the human, organisational, community, and operational realities of deployment.

If you’re interested in trustworthy distributed AI, intelligent infrastructure, industrial automation, networked decision-making, or multi-agent systems and collective intelligence — I would love to hear from you. Whether you are a prospective PhD student, working in industry, from the public sector, or an academic keen to collaborate, let’s connect and see what we can build together.

Get in touch: marco.perez@ieee.org