About AVAILab

Founded in December 2018, 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, Indoor & Outdoor Location Systems, and Safety Critical Systems with applications in Aerospace and Automotive Engineering.


MEMBERS


Dr Mauro Sebastián INNOCENTE  –  Founder & Leader
Senior Lecturer in Aerospace Engineering
Personal webpage


Dr Thomas STATHEROSCo-founder
Lecturer in Aerospace Engineering


RESEARCH STUDENTS

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

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Daizy RAJPUTPhD Student
A Model-Based Design Platform to Conjointly Optimise the Performance of the Powertrains and the Associated Energy Management Strategy of the Hybrid Electric Vehicles
Main Supervisor: Dr M.S. Innocente
External Supervisors:
Dr A.M. Dizqah
  (University of Sussex)
Dr J.M. Herreros 
(University of Birmingham)


OTHER CONTRIBUTING STUDENTS

Brandon Lee BALLARDPhD Student
Distributed Predictive Control Strategies for Active Suspension Systems with Preview
Main Supervisor: Dr O. Haas
External Supervisor: Dr A.M. Dizqah 
(University of Sussex)

Zihao LIUPhD Student
Mission Dependent Predictive Engine and After-Treatment Control Strategies for Passenger Car Diesel Engines
Main Supervisor: Dr O. Haas
External Supervisors:
Dr A.M. Dizqah 
(University of Sussex)
Dr J.M. Herreros (University of Birmingham)

Paul Efezino ESUGOMSc Student (2018)
Railway track following using Gazebo simulation and Erle-copter model

Main Supervisor: Dr M.S. Innocente

Matthew SUMNERMSc Student (2018)
Development of a convolutional ANN for image recognition to detect maintenance issues in railway networks by means of autonomous drones

Main Supervisor: Dr M.S. Innocente

Constantin Sorin PAVELESCUResearch Intern (2018)
Gazebo simulation, system identification and control of the Erle-copter using Artificial Neural Networks towards path planning
Main Supervisor: Dr M.S. Innocente

Ryan BARNES-BATTERBEEMSc Student (2018)
Designing and Implementing a Differential Evolution Algorithm to Train Artificial Neural Networks

Main Supervisor: Dr M.S. Innocente