Research Interest

I am broadly interested in applying AI and machine learning (ML) techniques to the efficient use of resources. More recently, I have been investigating smart energy systems in which machine intelligence enables optimal and efficient management of energy and resources. The primary application domains of my work are smart homes and smart grids, and I am currently involved in several projects in these areas. I am also interested in the wider application of multi-agent system techniques in the energy domain, as reflected in my publications.

My PhD research focused on the optimal use of energy through energy exchange in smart homes. The interdisciplinary nature of this problem exposed me to several fields, including economics (barter and exchange economies), game theory (computational aspects and equilibrium analysis), multi-agent systems (complex negotiations and scalable architectures), and mathematical optimisation (primarily linear and mixed-integer programming).

In addition, I enjoy reading research across a variety of areas, particularly psychology—experimental and behavioural psychology being my favourites. I am also drawn to topics at the intersection of psychology, philosophy, and computer science. Although my current work leaves little time for formal engagement in these fields, it has never stopped me from contemplating these ideas—often, rather unceremoniously, while taking a bath.