People / Fabio Paparella
PhD researcher
Fabio Paparella
Phd | E-powertrain design for zero emission energy and mobility
- Institution
- Eindhoven University of Technology
- Work package
- In NEON
- 2020-2024
- PhD
- defended, 5 December 2024
- Thesis
- Electric Autonomous Mobility-on-Demand: Models and Algorithms for Ride-pooling and Fleet Design
PhD candidate in WP4 (Electric cars and trucks) on e-powertrain and fleet design for zero-emission mobility; first NEON WP4 graduate, defended on 5 December 2024 (promotor Theo Hofman, co-promotor Mauro Salazar).
Fabio Paparella studied mechanical engineering at Politecnico di Milano and did his PhD in the Control Systems Technology section at Eindhoven University of Technology, including a research visit to UC Berkeley in 2024. His research developed optimization models for electric autonomous mobility-on-demand fleets, covering ride-pooling, congestion, vehicle and battery design, charging infrastructure, vehicle-to-grid and solar-electric vehicles.
About me
I love to explore new ideas, meet new people, live in new places. I decided to do a PhD while interning at NASA Jet Propulsion Laboratory, where I initially got introduced to complex multi-disciplinary problems that, at first, seem hard to model and solve.
We should “leave this world a little better than we found it”. Now more than ever, a transition to sustainability is required, not only for ourselves, but even more for future generations.

Personal Motivation
Considering that I grew up in a very small city, I can’t stand living in a polluted place. At the same, I realized how usefull a tool like Uber can be, especially for people like myself who hate searching for a free parking space.
NEON seems a very good fit because it can help me (and millions of other pleople) to live in a greener place, where the presence of a fleet of autonomous vehicles can both bring you wherever you want and make it sustainable too.
E-POWERTRAIN DESIGN FOR ZERO AMISSION ENERGY AND MOBILITY
My area of research is about the joint design and control problem of a fleet of solar e-AMoD vehicles (electric Autonomous Mobility on Demand), capturing the interaction with the existing transportation infrastructure and the power-grid.
Due to the strong coupling between this fleet and everything around it, this problem must be studied from a system-level perspective. In particular, the routing of each agent of the system so that the performances are maximized, consumptions and traffic jam minimized.

Link to other neon research
There are different “links” to the different WPs. In particular information to receive about real world cases, data to model our components (efficiency, cost, life cycle), vehicles in different usage conditions (geographically), yet we also to expect to obtain relevant data via our own WP partners Lightyear, TNO
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Profile text from the former NEON website.
✎ draftSupervised by
Publications and talks
- Sink Proximity: A Novel Approach for Online Vehicle Dispatch in Ride-Hailing (journal-article, 2026)
- Mobilizing transport justice: a sufficientarian optimization framework for intermodal mobility systems (journal-article, 2025)
- Analysis of Nash and Stackelberg Equilibria of Autonomous Mobility-on-Demand Systems in Mixed Traffic (conference-paper, 2025)
- Intermodal Network of Autonomous Mobility-on-Demand and Micromobility Systems (report, 2025)
- Electric Autonomous Mobility-on-Demand: Models and Algorithms for Ride-pooling and Fleet Design (phd-thesis, 2024)
- A Time-invariant Network Flow Model for Ride-pooling in Mobility-on-Demand Systems (journal-article, 2024)
- Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation (journal-article, 2024)
- Ride-pooling Electric Autonomous Mobility-on-Demand: Joint optimization of operations and fleet and infrastructure design (journal-article, 2024)
- A Time-Invariant Network Flow Model for Two-Person Ride-Pooling Mobility-on-Demand (conference-paper, 2024)
- Congestion-Aware Ride-Pooling in Mixed Traffic for Autonomous Mobility-on-Demand Systems (conference-paper, 2024)
- Multi-objective Optimal Trade-off Between V2G Activities and Battery Degradation in Electric Mobility-as-a-Service Systems (conference-paper, 2024)
- On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems (conference-paper, 2024)
- Ride-Pooling Autonomous Mobility-on-Demand in Mixed Traffic Conditions (report, 2024)
- Cost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems (conference-paper, 2023)
- Optimization-Based Comparison of Rebalanced Docked and Dockless Micromobility Systems (conference-paper, 2023)
- Electric Autonomous Mobility-on-Demand: Joint Optimization of Routing and Charging Infrastructure Siting (conference-paper, 2022)
- Joint Optimization of Number of Vehicles, Battery Capacity and Operations of an Electric Autonomous Mobility-on-Demand Fleet (conference-paper, 2022)
- PhD defence: Electric Autonomous Mobility-on-Demand: Models and Algorithms for Ride-pooling and Fleet Design (phd-defence, 2024-12-05)