Special Session on Evolutionary Computation for Sensors and UAV Applications

2019 IEEE Congress on Evolutionary Computation

Te Papa Tongarewa, Wellington, New Zealand

10-13 June 2019


Special Session Title: “Evolutionary Computation for Sensors and UAV Applications”


The proposed session aims at demonstrating the latest research and development on evolutionary computation and their applications in sensors development and unmanned aerial vehicle UAV platform optimisation.


Extensive research has been developed in computational intelligence and evolutionary computing, ranging from theoretical foundations, principles, to practical applications across various domains including medical, industry and education. It has been widely recognised that the use of Sensor technologies and UAV Platforms is increasing among researchers and developers. It is required that sensors can perform a rapid assessment and analysis of collected data to provide real time feedback to the end users. UAVs are required to perform autonomous paths optimisation for different research purposes. Researchers are exploring potential novel evolutionary computation solutions for real time analysis.

List of main topics include but not limited to:

  • Evolutionary Computation for 3D digitisation of Cultural heritage
  • Evolutionary Computation for 3D architecture
  • Evolutionary Computation for real-time sensor measurements
  • Evolutionary Computation for medical sensor applications
  • Evolutionary Computation for real-time public health quality assurance sensors
  • Evolutionary Computation for UAV platform development and optimisation
  • Evolutionary Computation for SLAM and SFM Applications

Important dates:

  • Deadline for submission of full papers: 7 January, 2019
  • Notification of acceptance: 7 March, 2019
  • Deadline for camera-ready submission: 31 March, 2019
  • Conference dates: 10-13 June, 2019

Names of Organisers

Dr Patryk Kot (P.kot@ljmu.ac.uk), Prof Andy Shaw, Dr Thar Baker

Biography of Organisers

Dr Patryk Kot graduated from Liverpool John Moores University with a BSc (Hons) in Computer Technology, MSc (Eng) in Microelectronic Systems Design and a PhD entitled “The feasibility of using EM waves in determining the moisture content and factors effecting measurements in building fabrics”, completed in 2017. From 2016, he worked as a Research Assistant with the Built Environment and Sustainable Technologies (BEST) Research Institute working on Healthcare sensor technologies. In 2017, he became a Senior Lecturer at Liverpool John Moores University within the Civil Engineering department whilst leading multiple research projects in sensor technology, structural health monitoring and energy from waste funded by external grants.

His area of expertise also involves: electromagnetic fine elements modelling; non-destructive testing; electronics hardware; PCB design, development and manufacture; embedded software development; 3D Visualisation; sensor development.

Dr Thar Baker is a Senior Lecturer in Software Systems Engineering and head of the Applied Computing Research Group (ACRG) at the Faculty of Engineering and Technology. He has received his PhD in Autonomic Cloud Applications from LJMU in 2010. Dr Baker has published numerous refereed research papers in multidisciplinary research areas including: Distributed Software Systems, Machine Learning and Big Data, Algorithm Design, and Autonomic Sensor-based Systems. He has been actively involved as member of editorial board and review committee for a number peer reviewed international journals, and is on programme committee for a number of international conferences. He was appointed as Expert Evaluator in the European FP7 Connected Communities CONFINE project (2012-2015). He worked as Lecturer in the Department of Computer Science at Manchester Metropolitan University (MMU) in 2011. Prior to this, he was working as a Post-Doctoral Research Associate in the area of Autonomic Cloud Computing at LJMU.

Prof Andy Shaw graduated from University of Liverpool with a BEng Hons in Electrical and Electronic engineering in 1990, a MSc (Eng) in Materials science in 1991 and a Ph.D. in 1995, titled “The realisation of an industrial free electron laser”. He worked as a postdoctoral researcher at the University of Liverpool for 8 years on industrial microwave applications for both material processing, sensor technologies and microwave plasma applications. In 2003, he became a lecturer at the University of Liverpool within the Electrical Engineering department whilst continuing to research in microwave industrial applications but also in the use of subsea radio frequency (RF) communications as part of a MoD funded project and later as an FP6 EU funded project. In 2005 he joined Liverpool John Moores University, at first with the General Engineering Research Institute as a Senior Lecturer and then as Head of the Electrical Engineering department within the School of Engineering in 2007. He became a Reader in Environmental and Sustainable technology in 2010 within the BEST research institute before become Head of the BEST research institute in 2015 and Professor in Microwave Technology in 2016. He currently heads the RF and Microwave research group and the Sensors and UAV group within the Faculty of Engineering and Technology and has over 20 years of expertise in developing industrial advanced microwave technologies. These include microwave-induced plasma for industrial applications, such as material cutting, vitrification, exhaust gas conditioning for vehicles, pyrolysis, torrefaction and gasification, microwave chemistry and microwave biodiesel production. Along with the design and development of NDT sensor technologies for the process engineering, health care and manufacturing sectors. These projects were all funded by either the TSB (Innovate UK) , EU, Carbon Trust and DEFRA or direct industrial contribution were Prof Shaw played an active part as either project coordinate, WP leader, collaborator or subcontract.