Francisco M. Delicado

Francisco M. Delicado is an Associate Professor in the Department of Sistemas Informáticos at Universidad de Castilla-La Mancha, Spain, where he has been employed since 2007. He earned his PhD in Computer System from the same institution, with his doctoral work beginning in 1999.

His research spans several key areas in computer science and engineering, particularly focusing on Internet of Things (IoT), Wireless Networks, Quality of Service (QoS), and Environmental Monitoring. He has developed low-cost IoT ecosystems for detecting glyphosate in water and monitoring agrochemical spray drifts. Additionally, his work extends to medical IoT (IoMT), blockchain applications in e-government, and machine learning for vector monitoring.

His recent publications show a strong trend toward applying IoT and machine learning to environmental and public health challenges. Earlier works focus on QoS mechanisms in wireless and mobile networks, including WiMAX (IEEE 802.16), TDMA/TDD, and HIPERLAN/2, with contributions to bandwidth allocation, contention resolution, and video transmission resilience.

He has no listed scientific awards in the provided data.

Francisco M. Delicado has collaborated extensively with researchers such as Teresa Olivares, Javier Aira, and Luis Orozco-Barbosa. While no formal advising roles or grants are mentioned, his long-standing publication record suggests active research leadership. There is no mention of specific labs or research teams, but his work implies involvement in networking and IoT-focused research groups at his university.