Research

My current research focuses on quantitative argumentation, specifically gradual evaluation methods and their mathematical properties.

Research topics within Artificial Intelligence of interest to me include:

Targetted fields for applications of this research include engineering design, e-Government, e-Learning, recommender systems and argumentation mining.

Publications

2019

2018

2017

2016

Education

PhD in Computing

Imperial College London - Jan 2019
Computational Logic & Argumentation | Artificial Intelligence
Thesis: "Gradual Evaluation in Argumentation Frameworks: Methods, Properties and Applications"
Supervisors: Prof. Francesca Toni & Dr. Marco Aurisicchio
EPSRC Scholarship

MEng in Automotive Engineering (with Diploma in Industrial Studies)

Loughborough University - Sep 2012
Vehicle Dynamics & Handling | Control Engineering
1st Class Honours
Thesis: "Application of a Reaction Wheel Actuator for Motorcycle Control"
Supervisor: Dr. George Mavros

Professional Experience

Project ManagerGreen Lifting Ltd.Mar 2014 - Mar 2017
Quantitative Development ConsultantZONlab Ltd.Jun 2015 - Aug 2015
Race Strategy EngineerMercedes AMG Petronas F1 TeamSep 2012 - Feb 2014
Race Strategy Placement StudentMercedes AMG Petronas F1 TeamSep 2010 - Jul 2011
Summer Placement StudentMercedes AMG Petronas F1 TeamJul 2010 - Sep 2010

Other Activities

Contact

  • Address

    Room 417, Huxley Building,
    180 Queen's Gate,
    South Kensington Campus,
    Imperial College London,
    London, SW7 2RH,
    United Kingdom
  • Email

    a.rago15@imperial.ac.uk