Profesor Asociado (Associate Professor)
Department of Statistics and Operations Research
School of Mathematical Sciences
Complutense University of Madrid
910395 Métodos Bayesianos

 

 

Bio

PhD in Mathematical Engineering, Statistics and Operational Research from the Complutense University of Madrid (UCM) and the Polytechnic University of Madrid (UPM), since January 2021.
His doctoral research provided a novel solution in the planning of transport infrastructures, in terms of decision-making in multimodal environments, improving the cost-benefit ratio by reducing costs and optimizing individual utilities by alternative. Thus, from his work derives: the use of Bayesian networks in complex environments such as Cooperative Systems (V2V, V2I, V2I2V, I2I) in real time between infrastructure networks and autonomous vehicles (eg RPAs); the optimization of stockage in port terminals; the optimization of electric networks for urban recharging by opportunity applied to BRTs; the creation of expert systems applied to epidemiological models; or the improvement of pharmacological transport models in cell membranes. He has more than 20 years of professional experience as an expert in Modeling, Planning, and Sustainable Mobility with national and  international experience in projects in: USA, Mexico, Cuba, Costa Rica, Ecuador, Bolivia, Morocco, Algeria, Saudi Arabia and Uganda.

 

Research interests

Transport Models and Simulation; Infrastructure Planning; Sustainable Urban Mobility; Cooperative Systems; Autonomous vehicles (RPAS and others); Bayesian Networks and Neural Networks; Application of A.I. tools; Digital Humanities; Epidemiological models.

Contact details