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Content available in repository
Personal profile
Academic background
Mauro Salazar obtained his B.Sc. and M.Sc. in Mechanical Engineering at ETH Zürich in 2012 and 2015, respectively, and carried out his Master thesis in the Automatic Control Lab of EPFL. He received the Ph.D. degree in Mechanical Engineering from ETH Zürich in cooperation with the Ferrari Formula 1 team in 2019. Between 2019 and 2020 he was a Postdoctoral Scholar at the Autonomous Systems Lab in the Department of Aeronautics and Astronautics at Stanford University. In April 2020 he joined Eindhoven University of Technology (TU/e) as an Assistant Professor in the Department of Mechanical Engineering with a co-affiliation with Eindhoven AI Systems Institute (EAISI). Mauro received the Outstanding Bachelor Award and the Excellence Scholarship and Opportunity Award from ETH Zürich. Both his Master thesis and PhD thesis were recognized with the ETH Medal, and his papers were granted the Best Student Paper award at the 2018 Intelligent Transportation Systems Conference and at the 2022 European Control Conference. In 2021, he was awarded the Best Teacher Award in the Mechanical Engineering MSc, whilst he was nominated by the department of Mechanical Engineering and Eindhoven Young Academy of Engineers for 2022 TU/e Young Researcher Award.
Research profile
Mauro Salazar is an Assistant Professor in the Control Systems Technology section, Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), with a co-affiliation with Eindhoven AI Systems Institute (EAISI). His research is focused on optimization models and methods for systems and control. Specifically, he is interested in design and control methods for multi-scale cyber-socio-technical systems, which have applications in mobility systems, pandemics and material design. For instance, to enable the deployment of sustainable and human-centered solutions for current and future mobility systems, he works on optimal design and operational problems for single vehicles and powertrains up to entire transportation systems. In this context, he is also interested in studying the users’ behavior from a mesoscopic perspective and devise fair and robust incentive schemes to align the interests of selfish users with the system optimum.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Mechanical engineering, Doctor, Time-optimal Energy Management of the Formula 1 Hybrid Electric Power Unit, ETH Zurich
Mar 2015 → Dec 2018
Award Date: 18 Mar 2019
Mechanical engineering, Master, Low Energy Control, ETH Zurich
Sept 2012 → Feb 2015
Award Date: 30 Jun 2015
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A Time-invariant Network Flow Model for Two-person Ride-pooling Mobility-on-Demand
Paparella, F., Pedroso, L., Hofman, T. & Salazar, M., 27 Mar 2023, arXiv.org, 7 p.Research output: Working paper › Academic
Open AccessFile11 Downloads (Pure) -
Joint Optimization of Number of Vehicles, Battery Capacity and Operations of an Electric Autonomous Mobility-on-Demand Fleet
Paparella, F., Hofman, T. & Salazar, M., 10 Jan 2023, 2022 IEEE 61st Conference on Decision and Control, CDC 2022. Institute of Electrical and Electronics Engineers, p. 6284-6291 8 p. 9993118Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Downloads (Pure) -
Optimal Endurance Race Strategies for a Fully Electric Race Car under Thermal Constraints
Kampen, J. V., Herrmann, T., Hofman, T. & Salazar, M., 19 Jan 2023, arXiv.org, p. 1-15, 15 p.Research output: Working paper › Academic
Open AccessFile35 Downloads (Pure) -
A Model Predictive Control Scheme for Fast Charging via Accurate Quadratic Battery Models
Bills, A., Salazar, M., Zhang, D. & Viswanathan, V., 5 Sept 2022, 2022 American Control Conference (ACC). Institute of Electrical and Electronics Engineers, p. 1794-1800 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
File166 Downloads (Pure) -
Concurrent Powertrain Design for a Family of Electric Vehicles
Clemente, M., Salazar, M. & Hofman, T., 2022, In: IFAC-PapersOnLine. 55, 24, p. 366-372 7 p.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile17 Downloads (Pure)
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Optimization for Intelligent Mobility Systems: From Electric Racing to Sustainable Urban Mobility
Mauro R.U. Salazar Villalon (Speaker)
26 Mar 2021Activity: Talk or presentation types › Invited talk › Scientific
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Optimization for Smart Mobility Systems: from F1 Racing to Urban Mobility
Mauro R.U. Salazar Villalon (Speaker)
20 Feb 2020Activity: Talk or presentation types › Invited talk › Scientific
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Optimization for Smart Mobility Systems: from F1 Racing to Urban Mobility
Mauro R.U. Salazar Villalon (Speaker)
19 Feb 2020Activity: Talk or presentation types › Invited talk › Scientific
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Optimization for Smart Mobility Systems: from F1 Racing to Urban Mobility
Mauro R.U. Salazar Villalon (Speaker)
18 Feb 2020Activity: Talk or presentation types › Invited talk › Scientific
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Optimization for Smart Mobility Systems: from F1 Racing to Urban Mobility
Mauro R.U. Salazar Villalon (Speaker)
Jan 2020Activity: Talk or presentation types › Invited talk › Scientific