Projects per year
Personal profile
Biography
Dr Mauro S. Innocente is an Assistant Professor in Aerospace Engineering and a member of the Institute for Future Transport and Cities (IFTC) at Coventry University. He is the founder and leader of the Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab) and a Fellow of the Higher Education Academy.
He received his building & structural engineering degree from the National University of the Northeast (Argentina) in 2003; his master’s 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 at GINSA SA (civil engineering company) in Argentina in 2001-2003, as a Research Assistant in the Analysis & Advanced Materials for Structural Design (AMADE) group at the University of Gerona (Spain) in 2006, as a Research Assistant in the Civil & Computational Engineering Centre (C2EC) at Swansea University (UK) in 2010, as a Research Officer in the Advanced Sustainable Manufacturing Technologies (ASTUTE) project at Swansea University in 2010-2014, as a Research Associate in the Institute of Energy at Cardiff University (UK) in 2014-2015, and joined Coventry University (UK) as a Lecturer in Aerospace Engineering and a member of the IFTC in 2015. He founded the AVAILab in 2016, and was promoted to Assistant Professor in 2018.
He currently teaches MSc modules in Mathematical Modelling, Optimisation Techniques, and Autonomous Aerospace Vehicle Systems. He has also delivered lectures on AI and Aerospace Structures.
He peer-reviews articles for 16 international journals, including Swarm and Evolutionary Computation, Applied Mathematical Modelling, Structural and Multidisciplinary Optimization, Computers & Structures, Sensors, IEEE Transactions on Power Electronics and IEEE Transactions on Intelligent Transportation Systems. He has evaluated project proposals for the National Commission of Scientific & Technological Research (CONICYT) in Chile.
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 1, Link 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 1, Link 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, swarm robotics, 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
- 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 - Efficiency Enhancement of Class-A Foams by Means of Metal Oxide Nanoparticles for Self-Organising Swarms of Autonomous UAVs to Fight Wildfires
Main Supervisor: Dr Mauro S. Innocente
Co-Supervisors: Dr Evangelos Gkanas & Prof Guillermo Rein (Imperial College)
PhD Student: Ioannis Papagiannis
Funding: fully funded (UK/EU fees + £16,000 annual stipend) - Autonomous Artificial Intelligence Enabled Drones to Inform Predictive Maintenance Actions in the Railways and Roads
Main Supervisor: Dr Mauro S. Innocente
Co-Supervisors: Dr Thomas Statheros & Dr Nadjim Horri
PhD Student: Candidate selected (offer made)
Funding: fully funded (International fees + £15,000 annual stipend) - 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. G. Sirimanna
Education/Academic qualification
Postgraduate Certificate, Coventry University
13 Jan 2016 → 10 Jan 2017
Award Date: 25 May 2017
Doctorate, Swansea University
1 Jul 2006 → 31 Mar 2010
Award Date: 6 Jan 2011
MSc, Universitat Politècnica de Catalunya
14 Jan 2004 → 30 Jun 2006
Award Date: 23 Oct 2007
Degree, Universidad Nacional del Nordeste
18 Mar 1996 → 8 Aug 2003
Award Date: 11 Sep 2003
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Network
Projects
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ResiCAV: ResiCAV -Resilient CAV
Nguyen, H. N., Shaikh, S., Bryans, J. & Innocente, M.
1/01/20 → 31/03/20
Project: Research
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Optimisable system-level thermal models for power electronic converters (funded by the EPSRC-CPE, FEC: £55,248)
1/01/16 → 31/12/16
Project: Research
Research output
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A Non-Convex Control Allocation Strategy as Energy-Efficient Torque Distributors for On-Road and Off-Road Vehicles
Dizqah, A. M., Ballard, B., Blundell, M., Kanarachos, S. & Innocente, M., Feb 2020, In: Control Engineering Practice. 95, 10 p., 104256.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)4 Downloads (Pure) -
Debiasing of position estimations of UWB-based TDoA indoor positioning system
Grasso, P. & Innocente, M., May 2020, Proceedings of the 2020 UK-RAS Conference: ‘Robots into the Real World‘. UK-RAS Network, p. 114-116 3 p. 39Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
Open AccessFile -
Effect of number of planetary gears on fuel consumption and vehicle performance in the hybrid powertrain of a passenger car
Rajput, D., Dizqah, A. M., Herreros, J. M. & Innocente, M., 5 Mar 2020.Research output: Contribution to conference › Poster › peer-review
Open AccessFile13 Downloads (Pure) -
FasteNet: A Fast Railway Fastener Detector
Tai, J. J., Innocente, M. & Mehmood, O., 11 Dec 2020, (Accepted/In press) Proceedings of Sixth International Congress on Information and Communication Technology. Springer Nature , Vol. (In-press). p. (In-press) 8 p. 332. ( Lecture Notes in Networks and Systems).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Physics-based model of wildfire propagation towards faster-than-real-time simulations
Grasso, P. & Innocente, M., 1 Sep 2020, In: Computers & Mathematics with Applications. 80, p. 790-808 19 p.Research output: Contribution to journal › Article › peer-review
Activities
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Sensors (Journal)
Mauro Innocente (Peer Reviewer)
26 Mar 2020 → …Activity: Publication peer-review and editorial work › Publication peer-review
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2020 6th International Conference on Mechatronics and Robotics Engineering
Paolo Grasso (Speaker) & Mauro Innocente (Contributor)
12 Feb 2020 → 15 Feb 2020Activity: Participating in or organising an event › Participation in conference
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The Future Powertrain Conference
Daizy Rajput (Speaker), Arash Moradinegade Dizqah (Contributor), Jose Martin Herreros (Contributor) & Mauro Innocente (Contributor)
4 Mar 2020 → 5 Mar 2020Activity: Participating in or organising an event › Participation in conference
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Construction and Building Materials (Journal)
Mauro Innocente (Peer Reviewer)
7 Mar 2020 → …Activity: Publication peer-review and editorial work › Publication peer-review
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Symmetry (Journal)
Mauro Innocente (Peer Reviewer)
Jan 2019Activity: Publication peer-review and editorial work › Publication peer-review