Iván Marsá Maestre

Iván Marsá Maestre is a Professor in the Department of Automática at Universidad de Alcalá. He holds a PhD in Telematics Engineering from the same institution, focusing on automated negotiation in complex utility spaces. His research emphasizes network optimization, multi-agent systems, cybersecurity, and wireless communication protocols. Key contributions include the development of graph-based algorithms for Wi-Fi channel assignment, negotiation frameworks for resource allocation, and resilient network architectures such as CloudWall and TOWER.

His work spans diverse applications like intelligent transportation systems, IoT security, and distributed e-voting mechanisms. Notable projects include the EnvAdapt-CRO-SL algorithm for dynamic network resource allocation and the use of graph coloring techniques to mitigate interference in dense wireless networks. He has contributed to conferences like PRIMA and published extensively on automated negotiation in complex systems.

Marsá Maestre’s research integrates theoretical models (e.g., fuzzy ontologies, coral reefs optimization) with practical implementations, addressing real-world challenges in network resilience, traffic management, and cybersecurity. His methodologies often combine multi-agent negotiation, graph theory, and machine learning to solve problems in decentralized systems.