Prof. Dr. Sergio L. Toral was born in Rabat, Morocco, in 1972. He received his M.S. and Ph.D. in electrical and electronic engineering from the University of Seville, Spain, in 1995 and 1999, respectively. He is a full professor at the Department of Electronic Engineering, US. Prof. Dr. Toral’s research is focused on the adaptive deployment of fleets of uncrewed aerial, aquatic, and terrestrial vehicles using information from the environment, which is shared and processed through multi-hop wireless networks. The main application cases have been transportation, disaster, and environmental monitoring scenarios. He is part of Stanford University's list of World’s Top 2% Scientists, 2021, being 742 out of 105.029 authors in the area of electrics and electronic engineering. He has been the lead researcher of nine competitive research teams in the last 10 years. His main achievements include the application of deep reinforcement learning techniques for the monitoring of water resources, including the optimization of the parameters of the neural network models used; the development of deployment and informative route-planning techniques for autonomous surface vehicles using Bayesian optimization; and the detection of cyanobacteria in Lake Ypacarai (Asunción, Paraguay) using a fleet of three autonomous vehicles (AECID).