Mauro Innocente


    Accepting PhD Students

    • Source: Scopus
    • Calculated based on no. of publications stored in Pure and citations from Scopus

    Research output per year

    If you made any changes in Pure these will be visible here soon.

    Personal profile


    Dr Mauro S. Innocente is a Senior Lecturer in Aerospace Engineering and a member of the Research Institute for Future Transport and Cities (FTC) at Coventry University. He is also the founder and leader of the Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab).

    He received his building & structural engineering degree from the National University of the Northeast (Argentina) in 2003, his MSc degree in numerical methods for calculus and design in engineering from the Polytechnic University of Catalonia (Spain) in 2007, his PhD degree in Particle Swarm Optimisation from Swansea University (UK) in 2011, and his Postgraduate Degree in Academic Practice in Higher Education from Coventry University (UK) in 2017.

    He worked as an Engineering Assistant for a civil engineering company in Argentina from 2001 to 2003; as a Research Assistant in the Analysis & Advanced Materials for Structural Design group (AMADE) at the University of Gerona (Spain) in 2006; as a Research Assistant in the Civil & Computational Engineering Centre (C2EC) at Swansea University in 2010; as a Research Officer in the Advanced Sustainable Manufacturing Technologies (ASTUTE) project also at Swansea University from 2010 to 2014; as a Research Associate in the Institute of Energy at Cardiff University (UK) from 2014 to 2015; and joined Coventry University (UK) in 2015 as a Lecturer in Aerospace Engineering and a member of the Research Institute for Future Transport and Cities. He was promoted to Senior Lecturer and founded the AVAILab in 2018.

    He currently teaches modules in Mathematical Modelling and Autonomous Aerospace Vehicle Systems in the MSc Aerospace Engineering course. He has also delivered lectures on Artificial Intelligence, Optimisation and Aerospace Structures within a range of MSc courses.

    He is the Principal Investigator (PI) of the 5th LRF-ICON PhD Studentship Award for project entitled:
    “Efficiency Enhancement of Class-A Foams by Means of Metal Oxide Nanoparticles for Self-Organising Swarms of Autonomous UAVs to Fight Wildfires
    Funder: LRF International Consortium of Nanotechnologies (grant ICON-2018-45)
    fEC: £100,000 (£50,000 award + £50,000 match funding).
    Date of award: Jan 2019.
    PI: Dr Mauro S. Innocente (Lead Researcher & Main Supervisor).
    Co-I: Dr Evangelos Gkanas (Researcher & Co-supervisor).
    Co-I: Prof. Guillermo Rein (External Co-Supervisor at Imperial College).
    Link 1Link 2

    As Co-I, he was part of the Coventry University team for project entitled:
    “Resilient Connected & Autonomous Vehicles (ResiCAV)
    Funder: HORIBA MIRA Ltd (consortium partner of one of the seven winners of UK government Cyber-Security Feasibility Studies competition)
    fEC: £10,000.
    Date of award: Dec 2019.
    PI: Dr Hoang Nga Nguyen
    Co-I: Prof Siraj Shaikh
    Co-I: Dr Jeremy Bryans
    Co-I: Dr Mauro S. Innocente
    Link 1, Link 2

    As Co-I, he was awarded the Early-Career Researchers Grant for project entitled:
    “Optimisable system-level thermal models for power electronic converters
    Funder: EPSRC Centre for Power Electronics (through grant EP/K035304/1).
    fEC: £55,000 (fEC for Coventry University: £50,000).
    Date of award: Jun 2015.
    PI: Dr Daniel J. Rogers (University of Oxford).
    Co-I: Dr Mauro S. Innocente.
    Link 1Link 2

    Research Interests

    His research is concerned with algorithm developments in Particle Swarm Optimisation, and with the development of soft and natural computing, mathematical modelling, control, and optimisation tools within a comprehensive spectrum of applications such as fire propagation modelling, thermal modelling, optimal design of power converters, structural analysis and design, swarm robotics applied to firefighting, and autonomous AI-enabled UAVs for predictive maintenance. Examples are:

    • Adaptive general-purpose Particle Swarm Algorithm.
    • Adaptive Surrogate Modelling & Optimisation (ASMO) of problems described by real or synthetic data.
    • Simulation-based optimal design tool for power-dense converters using efficient physics-based models.
    • Mathematical modelling of wildfire propagation.
    • Self-organising swarms of autonomous firefighting drones.
    • Efficiency enhancement of class-A foams by means of nanoparticles to improve performance of firefighting drones.
    • Autonomous AI-enabled UAVs for predictive maintenance.

    PhD Project

    Available Opportunities

    • No funded PhD project currently available.

    Ongoing Projects

    Education/Academic qualification

    Postgraduate Certificate, Coventry University

    13 Jan 201610 Jan 2017

    Award Date: 25 May 2017

    Doctorate, Swansea University

    1 Jul 200631 Mar 2010

    Award Date: 6 Jan 2011

    MSc, Universidad Politécnica de Catalunya

    14 Jan 200430 Jun 2006

    Award Date: 23 Oct 2007

    Degree, Universidad Nacional del Nordeste

    18 Mar 19968 Aug 2003

    Award Date: 11 Sep 2003


    Dive into the research topics where Mauro Innocente is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
    • 2 Similar Profiles


    Recent external collaboration on country level. Dive into details by clicking on the dots.
    Your message has successfully been sent.
    Your message was not sent due to an error.
    If you made any changes in Pure these will be visible here soon.