
معرفی
Dr. Glenn Hawe is a Lecturer at Ulster University's School of Computing within the Faculty of Computing, Engineering and the Built Environment. He has been with the university since 2013 and is a member of the Artificial Intelligence Research Group. His work focuses on the intersection of machine learning, optimization, and emergency response systems.
Education:
- MPhys in Mathematics and Physics (first class) from University of Warwick (2004)
- PhD in Electronics and Electrical Engineering from University of Southampton (2008)
Dr. Hawe's research spans machine learning, multi-objective optimization, and agent-based simulation, with applications in emergency response systems, robotics, and autonomic computing. His work often explores how computational methods can address complex real-world problems, particularly in the context of resource allocation during major incidents. He has developed innovative approaches in Bayesian optimization and has made significant contributions to the field of autonomic pulse communications for robot swarms.
Analysis of his recent publications shows a clear trajectory toward increasingly sophisticated applications of machine learning in robotics and emergency response systems. His work demonstrates growing integration of autonomic computing principles with swarm robotics, particularly for space applications and disaster response scenarios. The research shows increasing focus on explainability in AI systems alongside practical implementation in constrained environments.
Scientific Recognition:
- Won two best paper awards at conferences during his PhD
- Work featured in 2009 'From recession to recovery' report by Universities UK as an example of successful academia-industry collaboration
Dr. Hawe has been actively involved in multiple Knowledge Transfer Partnership (KTP) projects with industry partners and has served as a reviewer for prestigious journals including Journal of Simulation, International Journal of Machine Learning and Cybernetics, and IEEE Transactions on Magnetics. He is a member of the EPSRC peer review college and serves on the technical committee for the Science and Information Conference. His current projects include decarbonization of maritime transportation and autonomy for CubeSats.
As part of the Artificial Intelligence Research Group, Dr. Hawe collaborates on projects involving agent-based simulation for emergency response and autonomic computing applications. His work on the REScUE project at Durham University laid the foundation for his current research in computational approaches to major incident management.


