Below is a list of dissertation project proposals for this semester. These projects will be carried out in collaboration with E.ON Residential Customer Insight. Following this is a list of my current and previous PhD students.
Dissertation Projects for 2017
Sorry, but all my supervision slots for this year are taken!
Serious Game (Simulation) of Smart Meter App
The problem with smart meters in form of hard and software is that people lose interest very quickly. To increase and extend the engagement with energy consumption, the task is to develop a game (e.g. based on some form of normative comparison) that is embedded in the smart meter software that will keep (particularly younger) customers engaged with their smart meter for longer and encourage changes in their energy consumption behaviour.

Supervision: Dr Grazziela Figueredo; Dr Peer-Olaf Siebers; E.ON Residential Customer Insight representative.
Predictors of Call Demand
One of the biggest challenges facing the operational side of the business is inbound call demand. Existing and past efforts have focussed on retrospectively diverting demand i.e. a customer calls in and then is prompted to use non-advisor based channels going forward, there is then a delay before we can determine whether or not this prompt was successful. With this in mind, the task is to use past behaviour and events on a customer’s account (e.g. estimated bill) to predict when a customer is next likely to call and what the call is likely to be about to enable the business to pre-empt this contact and attempt to deflect the demand before it has even happened.

Supervision: Dr Grazziela Figueredo; Dr Peer-Olaf Siebers; E.ON Residential Customer Insight representative.
Consumption Prediction Tool
When a customer joins us we often do not have accurate consumption data for them which can impact customer experience if their direct debit later changes unexpectedly and significantly as a result. Having a better idea of their consumption initially will prevent this from happening as the direct debit could be set at an appropriate amount initially. The task is to build a tool to predict what a customers’ energy consumption will be based on customer attributes (e.g. age, family situation) and property attributes (e.g. property size, age, efficiency). This tool could be used to provide more accurate quotes or as a separate supporting application, both internally and by customers themselves.

Supervision: Dr Grazziela Figueredo; Dr Peer-Olaf Siebers; E.ON Residential Customer Insight representative.
PhD Students: Main Supervisor
  • James Hey
    • Urban Social Simulation in the Context of Sustainability

  • Kwabena Amponsah
    • Distributed Computing and Optimisation of Complex Urban Systems

  • Jonathan Thaler
    • Functional Agent-Based Modelling and Simulation

  • Sudhir Venkatesan
    • A Framework for Multi-Method Simulation of Antiviral Treatment for A(H1N1) Pandemic Influenza

  • Olusola Faboya
    • The Use of Object Oriented Agent-Based Social Simulation to Stimulate Transport Mode Shift of People

PhD Students: Additional Supervisor
  • Shadab Mashuk
    • Application of indoor positioning to understand building energy consumption using an occupancy model

  • Tim Whiteley
    • Integrated whole system modelling and optimisation of city resource flows

  • Kunpeng Wang
    • Multi-scale model integration for the large-scale analysis of complex urban energy system

  • James Burnett
    • What can user data relating to proximity and orientation tell us about real-world vs. simulation for interactive content delivery

  • Felix Osebor
    • Sustainable urban mobility: A modelling framework for cities in rapidly developing countries

  • Xia Li
    • Port operation evaluation with simulation and fuzzy based multi-stakeholder multi-criteria decision analysis

PhD Students: Advisor
  • Ashley Lewis
    • Interdisciplinary approaches to assessing urban sustainability: An ethnographic study of interdisciplinarity in practice.

PhD Completions
  • Dr Tuong Vu
    • A Software Engineering Approach for Agent-Based Modelling of Public Goods Games

  • Dr Jacob Chapman
    • Multi-agent stochastic simulation of occupants' comfort and behaviour

  • Dr Mazlina Abdul Majid
    • Human behaviour modelling: An investigation using traditional discrete event and combined discrete event and agent-based simulation
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