In my PhD, I developed highly efficient algorithms to address the computational issues of the Shapley value in large-scale real world problems, particularly in the smart grid. Among others, I have also developed a smart thermostat, algorithms for predicting air temperature and the carbon emissions of the UK electricity grid, optimisation algorithms for coordinating the air conditioning of multiple houses, and an algorithm for detecting leaks in water networks.
A quick overview of some of my PhD research on applying the Shapley value in the Smart Grid domain
In a collaboration with BT Research, I developed an online game-like quiz with an aim to populate data about people's perception of energy consumption and saving. I was responsible for the scientific research in the project as well as developing the back end and leading a group of front end developers.
Winditricity: A carbon intensity real-time and forecast display for UK wind power producing companies that offset their generation shortfall through non-green sources.
Phoneix: An autonomous trading agent that places bids in the keyword ad auction comptetion TAC AA
Film Ontology Design: An ontology for modelling scheduled film screenings (in OWL 2 using Protege and Fact++)
JClassify: A naive Bayes text classifier (in Java)
LogicGates: A digital circuit designer and optimizer using Genetic Algorithm (in Java)