• 14 Citations
  • 2 h-Index
20062019
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Personal profile

Biography

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) and a member of the Mathematical Optimization Society.

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 Applied Mathematical Modelling & Artificial Intelligence within MSc courses in Aerospace and in Control Engineering.

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 Unmanned Aerial Vehicles to Fight Wildfires
Funder: LRF International Consortium of Nanotechnologies
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 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:

  • Development of a fully adaptive general-purpose Particle Swarm Optimiser.
  • Development of a fully adaptive surrogate-based optimal design tool for data-driven modelling and optimisation of problems either described by data or whose mechanistic models are impractical.
  • Development of simulation-based design tool for power-dense converters using efficient physics-based models.
  • Mathematical modelling of the propagation of wildfires.
  • 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 in railway tracks.

PhD Project

Available Opportunities

Ongoing Projects

  • Dynamics, Control and Cooperative Decision-Making in Swarms of Self-Organising Drones Aimed at Fighting Fires Autonomously
    Main Supervisor: Dr Mauro S. Innocente
    PhD Student
    : Paolo Grasso

  • A Model-Based Design Platform to Conjointly Optimise the Performance of the Powertrains and the Associated Energy Management Strategy of the HEVs
    Main Supervisors: Dr Mauro S. Innocente & Dr Arash M. Dizqah (University of Sussex)
    PhD Student
    : Daizy Rajput

  • Developing a mathematical programming tool to design and optimise solar thermal power stations
    Main Supervisor: Dr Jonathan Nixon
    Co-Supervisor: Dr Mauro S. Innocente
    PhD Student
    : Malambage P. Gayan Sirimanna

  • Artificial Intelligence and parameter estimation for the reconfigurable control of non-linear dynamic systems
    Main Supervisor: Dr Olivier Haas
    Co-Supervisor: Dr Mauro S. Innocente
    PhD Student: Ita Okon Bassey

Education/Academic qualification

Postgraduate Certificate, Coventry University

13 Jan 201610 Jan 2017

Doctorate, Swansea University

1 Jul 200631 Mar 2010

MSc, Universidad Politécnica de Catalunya

14 Jan 200430 Jun 2006

Degree, Universidad Nacional del Nordeste

18 Mar 19968 Aug 2003

Fingerprint 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.

  • 4 Similar Profiles
Particle swarm optimization (PSO) Engineering & Materials Science
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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2016 2016

Power electronics
Economics
Costs
Hot Temperature

Research Output 2006 2019

  • 14 Citations
  • 2 h-Index
  • 15 Conference proceeding
  • 5 Chapter
  • 4 Article
  • 2 Poster
Swarm Robotics
Collective Intelligence
Self-organizing Systems
Multi-robot Systems
Swarm Intelligence

A two-dimensional reaction-advection-diffusion model of the spread of fire in wildlands

Grasso, P. & Innocente, M., 2018, Advances in Forest Fire Research 2018. Imprensa da Universidade de Coimbra, p. 334-342 9 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
Advection
Fires
Thermal energy
Spatial distribution
Runge Kutta methods

Proof-of-Concept Swarm of Self-Organising Drones Aimed at Fighting Wildfires

Innocente, M. S. & Grasso, P., 20 Jan 2018, Proceedings of the 2017 UK-RAS Conference: ‘Robots Working for and among Us’. UK-RAS Network, p. 102-105 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Open Access
File
Fires
Unmanned aerial vehicles (UAV)
Robotics
Robots
Decision making

Swarm of autonomous drones self-organised to fight the spread of wildfires

Innocente, M. S. & Grasso, P., 24 Jul 2018, Proceedings of the GEOSAFE Workshop on Robust Solutions for Fire Fighting. CEUR, Vol. 2146.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Open Access
File
Fires
Robotics
Robots
Decision making
Sensors

Thermal Modelling and Design Optimisation of DC-DC Converters

Innocente, M. & Rogers, D. J., 4 Jul 2017.

Research output: Contribution to conferencePoster

Activities 2006 2019

Swarm and Evolutionary Computation (Journal)

Mauro Innocente (Associate Editor)
Jan 2019

Activity: Publication peer-review and editorial workPublication peer-review

Applied Sciences (Journal)

Mauro Innocente (Peer Reviewer)
Jan 2019

Activity: Publication peer-review and editorial workPublication peer-review

RSFF 2018 Robust Solutions for Fire Fighting

Mauro Innocente (Speaker)
19 Jul 201820 Jul 2018

Activity: Participating in or organising an eventParticipation in conference

Mid and West Wales Fire and Rescue Service GovTech Challenge Launch Event

Mauro Innocente (Participant)
24 Oct 2018

Activity: Participating in or organising an eventParticipation in workshop, seminar, course