CISE Seminar: Mauro Salazar, Eindhoven University of Technology

Date: TUESDAY Sept 13, 2022
Time: 4:00PM-5:00PM

Mauro Salazar
Assistant Professor
Eindhoven University of Technology

Optimization for Sustainable Mobility Systems: From Electric Racing to Sustainable Urban Mobility

Nowadays mobility is facing challenges ranging from urban traffic to environmental pollution and noise. The advent of new cyber-physical technologies such as autonomous driving, wireless communication and powertrain electrification might provide us with promising opportunities to face these challenges. Yet how to successfully combine such technologies in order to design and deploy economically-viable, socially-inclusive and environmentally-friendly mobility solutions is still unclear.

In this context, this talk will show how we leveraged optimization methods on research projects ranging from the single-vehicle level to the transportation-system level. In particular, I will first briefly present models and optimization algorithms to control fully-electric race cars in a time-optimal fashion via convex optimization. In addition, I will present how we extended such methods to electric powertrain design problems. Second, I will give an overview on the work we have been doing on the broad topic of Intermodal Autonomous Mobility-on-Demand—namely, a mobility system whereby self-driving cars provide on-demand mobility jointly with public transit—including optimization models to analyse the societal benefits stemming from these new mobility paradigms, and incentive schemes based on artificial currencies to align the mobility choices of selfish users with the system optimum, whilst guaranteeing fairness among the users.

Mauro Salazar is an Assistant Professor in the Control Systems Technology section at Eindhoven University of Technology (TU/e), with a co-affiliation at Eindhoven AI Systems Institute (EAISI). He received the PhD degree in Mechanical Engineering from ETH Zürich in collaboration with the Ferrari Formula 1 team in 2019, and then moved to Stanford University for his Postdoc until 2020. Mauro’s research is focused on optimization models and methods for cyber-socio-technical systems and control, with applications on sustainable and human-centered mobility, pandemics and material design. His MSc and PhD theses were recognized with the ETH Medal, and he received the Best Student Paper award at IEEE ITSC 2018 and ECC 2022. In 2022, he was nominated for TU/e’s Young Researcher Award. Picture by A. Swinkels.

Faculty Host: Christos Cassandras