Research

My current research focuses on the definition, implementation and evaluation of methods for explainable AI, particularly those which utilise computational argumentation. I am interested in symbolic AI in general, notably argumentation frameworks and their semantics, along with their mathematical properties and their applications. I am also very interested in how symbolic methods can be used to supplement data-driven methods towards AI systems which can truly benefit society.

Application areas of my research include: engineering design, opinion polling, e-learning, streaming platforms, Formula 1 race strategy and judgmental forecasting.

Publications

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2018

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

    a.[surname]@imperial.ac.uk
  • a.[surname]@imperial.ac.uk