I advanced the main contributions of my PhD in the paper ABA+: Assumption-Based Argumentation with Preferences, published at KR 2016. ABA+ extends the well established structured argumentation formalism ABA with preferences. This research has since continued by efforts of mine as well as researchers internationally.
As part of my PhD studies, I did a research internship with Prof Ken Satoh at NII, Tokyo, on applying argumentation to legal reasoning, which resulted into the AA-CBR formalism, published at KR 2016. AA-CBR is a machine learning (case-based reasoning)-inspired and abstract argumentation-driven methodology for explainable prediction (classification).