A. (Alessandro) Bombelli

A. (Alessandro) Bombelli

Contact

Ruimte: 62.4.12

Profiel

Main research topics

My research focuses on:

  • Air cargo operations
  • Vehicle routing problems
To address these problems, I use different methodologies, including:
  •  Mixed integer linear programming
  •  Meta-heuristics
  • Complex network theory
  • Unsupervised learning (mainly clustering techniques)


Biography

I am originally from Italy, where I studied aerospace engineering (BSc) and space engineering (MSc) at Politecnico di Milano. Then, I moved to the University of California, Irvine, where I obtained my PhD in the Air Traffic Management research field in August 2017. During my PhD, I was twice a visiting researcher at NASA Ames, where I performed part of my research. From late 2017 to late 2019, I was a postdoctoral researcher at the Transport & Planning department (TU Delft), working on optimization models for the landside air cargo supply chain.

I am currently a lecturer at the Air Transport and Operations group, at the Faculty of Aerospace Engineering. My main duties are - helping assistant professors with MSc track courses, - supervising MSc students working on air cargo supply chain and urban air mobility topics, - conducting individual research on the same topics.

Publication highlights


 Title: Integrators' global networks: A topology analysis with insights into the effect of the COVID-19 pandemic   
DOI:  https://doi.org/10.1016/j.jtrangeo.2020.102815  
Description: We propose, to the best of our knowledge, the first analysis of the global networks of integrators FedEx, UPS, and DHL using network science. While noticing that all three networks rely on a “hub-and-spoke” structure, the network configuration of DHL leans towards a multi-“hub-and-spoke” structure that reflects the different business strategy of the integrator. 
        
Title: Analysis of the air cargo transport network using a complex network theory perspective   
DOI:  https://doi.org/10.1016/j.tre.2020.101959  
Description: We present a complex network analysis of the air transport network using the air cargo, instead of the passenger, perspective. To the best of our knowledge, this is the first work where a global cargo network comprising passenger airlines, full-cargo airlines, and integrators’ capacity was studied.
  
Title: Improved Clustering for Route-Based Eulerian Air Traffic Modeling   
DOI:  https://doi.org/10.2514/1.G003939  
Description:   In the paper, a new approach is developed for identifying and approximating well-traveled routes in a historical dataset of flight trajectories. The approximate routes are intended for use in a route-based Eulerian model of air traffic flow for strategic planning but are useful for other route-based strategic planning. The approach involves coarse clustering, outlier detection, fine clustering, and aggregate route construction.
  
Title: Strategic Air Traffic Planning with Fréchet Distance Aggregation and Rerouting
DOI:  https://doi.org/10.2514/1.G002308  
Description:  An aggregate route model for strategic air traffic flow management is presented: it is an Eulerian model, describing the flow between segments of unidirectional point-to-point routes. Two examples demonstrate the model formulation and results of strategic planning. First, ground delays are introduced to manage high demand in the Los Angeles center; second, ground holding and predeparture rerouting are used to manage a convective weather scenario in the same center.

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Expertise

Publicaties

Onderwijs 2024

Onderwijs 2023

Media

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Prijzen

  • 2023-12-4

    TU Delft Educator of the Year 2023

    Alessandro Bombelli, from the faculty Aerospace Engineering, stands out among both his colleagues and his students for setting a supportive learning environment. His teaching style engages students using humour and interactive games when tackling complex subjects. This approach not only makes learning enjoyable but also creates a deep understanding of challenging concepts. He encourages his students to ask questions freely and provides constructive feedback that highlights both areas of improvement and commendable achievements. Alessandro's supportive way of teaching empowers his students to become confident, self-motivated learners who embrace challenges as opportunities for growth.

    Lees meer TU Delft Educator of the Year 2023
  • 2023

    Open Education Stimulation Fund 2022

    GrantedOpen Education project: “From theory to application: learning to optimize with Operations Research in an interactive way”

    Lees meer Open Education Stimulation Fund 2022
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Contact

Ruimte: 62.4.12