Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab)

Multidisciplinary laboratory focused on developments and applications within the fields of Mathematical Modelling, Optimisation, Soft & Natural Computing, Self-Organisation & Swarm Robotics, Autonomous Navigation and Positioning Systems.

About AVAILab

Founded in 2016, the Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab) is a multidisciplinary laboratory within the Research Institute for Future Transport and Cities (FTC) at Coventry University.

While open to a wide spectrum of applications, AVAILab’s main motivation is in conducting research and supporting teaching involving Applied Mathematical Modelling, Optimisation, Soft & Natural Computing, Self-Organisation & Swarm Robotics, Autonomous Navigation and Positioning Systems with applications in Aerospace, Automotive and Environmental Engineering.


HISTORY

The Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab) was founded at Coventry University in 2016 under the name of Smart Vehicles Control Laboratory (SVeCLab) by Dr Mauro S. Innocente, Dr Arash M. Dizqah and Dr José M. Herreros. After two of the co-founders left the institution, the focus of the laboratory shifted and its name was therefore amended accordingly in 2018.


STAFF MEMBERS


Dr Mauro Sebastián Innocente  –  Founder & Leader
Senior Lecturer in Aerospace Engineering
Personal webpage
Structures, Control & Optimisation group


CURRENT RESEARCHERS

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Paolo Grasso  – PhD Researcher
Dynamics, Control and Cooperative Decision-Making in Swarms of Self-Organising Drones Aimed at Fighting Fires Autonomously
Funder: Coventry University via Centre for Mobility & Transport Studentship
Main Supervisor & PIDr Mauro S. Innocente
Co-Supervisor: Dr Olivier Haas


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Ioannis Papagiannis PhD Researcher
Efficiency Enhancement of Class-A Foams by Means of Metal Oxide Nanoparticles for Self-Organising Swarms of Autonomous UAVs to Fight Wildfires
Funder: Lloyds Registry Foundation International Consortium of Nanotechnologies (LRF-ICON)
Main Supervisor & PIDr Mauro S. Innocente
Co-Supervisors:
Dr Evangelos Gkanas

Prof Guillermo Rein (Imperial College)



Jun Jet TaiPhD Researcher
Autonomous Artificial Intelligence Enabled Drones to Inform Predictive Maintenance Actions in the Railways and Roads
Funder: Coventry University via Trailblazers’ Award
Main Supervisor & PIDr Mauro S. Innocente
Co-Supervisors:
Dr Thomas Statheros

Dr Nadjim Horri



Daizy RajputPhD Researcher
A Model-Based Design Platform to Conjointly Optimise the Performance of the Powertrains and the Associated Energy Management Strategy of the HEVs
Funder: FEV (50%) & Coventry University via Institute for Future Transport & Cities (50%)
Main Supervisors:
Dr Mauro S. Innocente
Dr Arash M. Dizqah (PI, University of Sussex)
Co-Supervisors:
Dr José M. Herreros
  (University of Birmingham)
Dr Jeremy Bryans



Osita N. Ugwueze PhD Researcher
An Optimal Recovery Method for Electric VTOL Aircraft Following Total Loss of Thrust
Funder: Coventry University via Computing NTDC VC Challenge fund
Main Supervisors:
Dr Mauro S. Innocente
Dr Thomas Statheros (PI)
Co-Supervisors:
Dr Nadjim Horri
Dr Mike Bromfield (University of Birmingham)


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Malambage P. G. Sirimanna – PhD Researcher
Developing a mathematical programming tool to design and optimise solar thermal power stations
Funder: Coventry University via the Centre in Fluid and Complex Systems and the Doctoral Training Alliance energy theme
Main Supervisor: Dr Jonathan Nixon
Co-Supervisors:
Dr Mauro S. Innocente
Dr Janis Priede


OTHER CONTRIBUTING RESEARCHERS

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Brandon L. BallardPhD Researcher (ongoing)
Distributed Predictive Control Strategies for Active Suspension Systems with Preview
Supervisors:
Dr Olivier Haas
Prof Mike Blundell
Dr Arash M. Dizqah (University of Sussex)

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Zihao LiuPhD Researcher (ongoing)
Mission Dependent Predictive Engine and After-Treatment Control Strategies for Passenger Car Diesel Engines

Supervisors:
Dr Olivier Haas
Dr Arash M. Dizqah (University of Sussex)
Dr José M. Herreros  (University of Birmingham)

Luke J. Smith – MSc Student (Coventry University, 2019)
Microscopic Traffic Modelling Using Cellular Automata
Supervisor: Dr Mauro S. Innocente

Thomas Staite – MSc Student (Coventry University, 2019)
Development of a Convolutional Neural Network for the Detection of Railway Track Maintenance
Supervisor: Dr Mauro S. Innocente

Paul E. Esugo – MSc Student (Coventry University, 2018)
Railway track following using Gazebo simulation and Erle-copter model
Supervisor: Dr Mauro S. Innocente

Matthew Sumner – MSc Student (Coventry University, 2018)
Development of a convolutional ANN for image recognition to detect maintenance issues in railway networks by means of autonomous drones
Supervisors: Dr Mauro S. Innocente & Magesh Nagarajan

Constantin S. Pavelescu – Research Intern (Coventry University, 2018)
Gazebo simulation, system identification and control of the Erle-copter using Artificial Neural Networks towards path planning
Supervisor: Dr Mauro S. Innocente

Ryan Barnes-Batterbee – MSc Student (Coventry University, 2018)
Designing and Implementing a Differential Evolution Algorithm to Train Artificial Neural Networks
Supervisor: Dr Mauro S. Innocente

Paolo Grasso – MSc Student & Research Intern (Coventry University, 2017)
Mathematical modelling of spread of fire underpinning algorithmic developments for autonomous swarms of firefighting drones
Supervisor: Dr Mauro S. Innocente

Brandon L. Ballard – MSc Student(Coventry University, 2016)
Simulated Firefighting Fleet of Autonomous Drones
Supervisor: Dr Mauro S. Innocente