Disruptive Technologies or Disrupting the Narratives? Transdisciplinary Challenges and Opportunities from ACE+ Technologies in Mobility
Event details
| Date | 01.10.2025 |
| Hour | 14:30 › 15:30 |
| Speaker | Prof. Mauro Salazar |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
ABSTRACT
Nowadays urban mobility systems are facing challenges ranging from environmental pollution to social injustice. The advent of cyber-physical technologies such as automated driving, connectivity and powertrain electrification (ACE), along with well-established innovations (+), might provide us with promising opportunities to face these challenges. At the same time, we are running the risk of falling (again) into the “engineering trap”: engineering technology-driven optimal answers to the wrong question, purely focusing on technological advancements without considering the broader social and environmental context, and ultimately exacerbating these challenges rather than alleviating them.
In this context, this talk presents our recent work on concepts, models, and optimization to address societally and environmentally driven research questions encompassing the individual-vehicle and the transportation-system level.
Main References:
Mauro Salazar is an Associate Professor in the Control Systems Technology section at Eindhoven University of Technology (TU/e) in the Netherlands, where he leads the MOVEMENT Research Group. He is also affiliated with Eindhoven AI Systems Institute (EAISI). He earned his PhD in Mechanical Engineering from ETH Zürich in collaboration with the Ferrari Formula 1 team in 2019, before moving to Stanford University for a postdoctoral position on future mobility systems until 2020. His research focuses on optimization models and methods for cyber-socio-technical systems and control, with applications including sustainable energy and mobility systems that foster justice and wellbeing. He was awarded the ETH Medal for his MSc and PhD theses, and his papers earned the Best Student Paper award at IEEE ITSC18 and at ECC22, as well as the Best Paper Award at IEEE VPPC24. He was nominated for TU/e Young Researcher Award in 2022 and 2025, and, in 2024, for membership in The Young Academy of KNAW. In 2025, he received the Master Teacher of the Year Award from the Department of Mechanical Engineering.
Nowadays urban mobility systems are facing challenges ranging from environmental pollution to social injustice. The advent of cyber-physical technologies such as automated driving, connectivity and powertrain electrification (ACE), along with well-established innovations (+), might provide us with promising opportunities to face these challenges. At the same time, we are running the risk of falling (again) into the “engineering trap”: engineering technology-driven optimal answers to the wrong question, purely focusing on technological advancements without considering the broader social and environmental context, and ultimately exacerbating these challenges rather than alleviating them.
In this context, this talk presents our recent work on concepts, models, and optimization to address societally and environmentally driven research questions encompassing the individual-vehicle and the transportation-system level.
Main References:
- E. van den Eshof, J. van Kampen, M. Salazar, “Human-in-the-loop Energy and Thermal Managemetn for Electric Racing Cars through Optimization-based Control”, European Control Conference and European Journal of Control, 2025, DOI: https://doi.org/10.1016/j.ejcon.2025.101293
- M. Salazar, S. Betancur Giraldo, F. Paparella, L. Pedroso, K. Martens, “Mobilizing Transport Justice: A Sufficientarian Optimization Framework for Intermodal Mobility Systems”, NPJ Sustainable Mobility and Transport, 2025, In Press, DOI:
https://doi.org/10.21203/rs.3.rs-6172438/v1
Mauro Salazar is an Associate Professor in the Control Systems Technology section at Eindhoven University of Technology (TU/e) in the Netherlands, where he leads the MOVEMENT Research Group. He is also affiliated with Eindhoven AI Systems Institute (EAISI). He earned his PhD in Mechanical Engineering from ETH Zürich in collaboration with the Ferrari Formula 1 team in 2019, before moving to Stanford University for a postdoctoral position on future mobility systems until 2020. His research focuses on optimization models and methods for cyber-socio-technical systems and control, with applications including sustainable energy and mobility systems that foster justice and wellbeing. He was awarded the ETH Medal for his MSc and PhD theses, and his papers earned the Best Student Paper award at IEEE ITSC18 and at ECC22, as well as the Best Paper Award at IEEE VPPC24. He was nominated for TU/e Young Researcher Award in 2022 and 2025, and, in 2024, for membership in The Young Academy of KNAW. In 2025, he received the Master Teacher of the Year Award from the Department of Mechanical Engineering.
Practical information
- Informed public
- Free
Organizer
- HOMES - Prof. Kenan Zhang
Contact
- Prof. Kenan Zhang
Administrative: Mélanie Thuillard