Hazem Eissa

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Contact

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Name:

Hazem Eissa

Email address:

Hazem.Eissa@sunderland.ac.uk

Department:

Faculty of Business & Technology (1CSE)

Organisation:

University of Sunderland

Address:

University of Sunderland David Goldman Technology Centre, St Peter's Campus Sunderland SR6 0DD

Country:

United Kingdom

Homepage URL:

https://www.sunderland.ac.uk/about/academic-staff/hazem-eissa

Biography

Expertise:

Swarm Robotics, Swarm Intelligence, Path Planning

Job title:

Lecturer in Computer Science

Biography:

My research focuses on implementing robotic swarm formations for mapping and localisation applications. My research interest includes the following themes: (Robotic Swarms): MultiAgent Systems, Swarm Formations, Biological-Inspired behaviours, and Mathematical modelling formations (Robotics Swarm Optimisation): Particle Swarm Optimisation (PSO) (Robotics Mapping): Path Planning and Navigation, Simultaneous Localisation and Mapping (SLAM) (Robotics Decision-Making Process): Swarm Intelligence, and Artificial Intelligence.

Qualifications:

PhD (Distributed Intelligent Systems for Swarm Robotics) [Engineering and Science - University of Greenwich] MSc (Electrical and Electronics) [Engineering and Science - University of Greenwich] BSc (Electrical Communication and Electronics Enginnering) - [MSA University]

My Latest

Logeswaran, Iswariya, Eissa, Hazem and Almadhoun, Randa (2024) Autonomous Vehicle Pedestrian Detection & Traffic Sign Recognition Using YOLOv8. In: 2024 29th International Conference on Automation and Computing (ICAC). IEEE, pp. 1-6. ISBN 979-8-3503-6088-2

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