• School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    Accepting PhD Students

    PhD projects

    Title: Optimizing the electric vehicle charging network

    Summary and Aim: UK plans to ban sales of fossil fuel-powered vehicles from 2030, meaning electric vehicles (EVs) are going to be the future transport. However, the available charging infrastructure for EVs falls far below what is needed amid surging demand. In partnership with a leading industrial partner, this project aims to grow the public charge network to the correct scale and location to meet the growing demand. As the first step, we utilize machine learning and artificial neural network techniques to model the public’s emerging charging behaviour. To develop a precise model, we also use game theory to encourage customers to share more of their data. Based on this model, we then utilize optimization techniques to provide cost-efficient network-expansion planning with optimal location and speed for EV charging stations.

    Key objectives:
    1- Propose suitable mechanisms for eliciting customer behaviour
    2- Construct consumer behaviour model
    3- Develop methods to optimize the cost-reachability tradeoff for EV charging networks

    Required skills:
    The successful applicant will have a strong undergraduate and/or masters degree in computer science, engineering, mathematics or a related discipline as well as excellent programming and analytical/mathematical skills. A demonstrable interest in agent systems, machine learning and probabilistic modelling is essential.

    Personal profile

    Research Interests

    Artificial Intelligence, Multi-Agent Systems, Game Theory, Mechanism Design, Optimization, Strategic Learning


    Dr Farzaneh Farhadi joined Aston in January 2022 as a Lecturer in Computer Science. She was previously a Royal Society Fellow at Imperial College London. She holds a dual-degree BSc in Electrical Engineering and Mathematics (2010), a MSc in Electrical Engineering (2012), and a PhD in Electrical Engineering (2018), from Sharif University of Technology in Iran. She worked as a Research Fellow at University of Michigan (Ann Arbor, USA) and more recently as a Lecturer in University of Tehran, Iran. Dr Farzaneh’s research interests lie in multi-agent systems, game theory, incentive mechanism design, and strategic learning.

    Contact Details

    Phone: +44(0)121 204 4511

    Email: [email protected]

    Room: MB211C


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