Profile
Dr Glenn Hawe, MPhys PhD MBCS
(email at g.i.hawe@durham.ac.uk)
Biography
Glenn Hawe is a Research Associate in the School of Engineering and Computing Sciences at Durham University, currently developing an agent-based simulation environment, STORMI, for evaluating responses to major incidents within the UK.
From December 2007 to November 2009 he worked as a PDRA at the Manchester Interdisciplinary Biocentre, at the University of Manchester, developing and optimizing machine learning methods for use in a novel force-field.
From October 2004 to September 2007 he worked as a KTP Associate for software company Vector Fields Ltd. (now part of Cobham CTS Ltd), developing efficient optimization software for electromagnetic design. During this time he obtained a PhD (part-time) in Electronics and Electrical Engineering from the University of Southampton. Prior to this he obtained a MPhys (1st class) in Mathematics and Physics from the University of Warwick (2004).
One-page CV available here: http://www.dur.ac.uk/resources/profiles/8266/HaweCV.pdf
Selected Publications
Conference papers
- Wilson, D. T., Hawe, G. I., Coates, G. & Crouch, R. S. (2012), Estimating the value of casualty health information to optimization-based decision support in response to major incidents, 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, Canada.
- Hawe, G. I., Wilson, D. T., Coates, G. & Crouch, R. S. (2012), Investigating the e ffect of overtriage on hospital arrival times of critically injured casualties during a major incident using agent-based simulation, The 6th International Conference on Soft Computing and Intelligent Systems and the 13th International Symposium on Advanced Intelligent Systems. Kobe, Japan, IEEE.
- Hawe, G. I., Wilson, D. T., Coates, G. & Crouch, R. S. (2012), Simulating the spatial organization of the UK ambulance service at major incident sites, 3rd IEEE International Conference on Emergency Management and Management Sciences, ICEMMS 2012. Beijing, China, IEEE, 948-951.
- Hawe, G. I., Wilson, D. T., Coates, G. & Crouch, R. S. (2012), STORMI: An agent-based simulation environment for evaluating responses to major incidents in the UK, 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, Canada.
- Hawe, G. I., Wilson, D. T., Coates, G. & Crouch, R. S. (2012), The STORMI Scenario Designer: A program to facilitate setting up agent-based simulations of major incident emergency response, 3rd IEEE International Conference on Emergency Management and Management Sciences, ICEMMS 2012. Beijing, China, IEEE, 648-651.
Journal papers: academic
- Hawe, G. I., Coates, G., Wilson, D. T. & Crouch, R. S. (2012). Agent-based simulation for large-scale emergency response: A survey of usage and implementation. ACM Computing Surveys 45(1): 8.
- Hawe, G. I. & Popelier, P. L. A. (2010). A water potential based on multipole moments trained by machine learning — Reducing maximum energy errors. Canadian Journal of Chemistry 88(11): 1104-1111.
- Hawe, G. I., Alkorta, I. & Popelier, P. L. A. (2010). Prediction of the basicities of pyridines in the gas phase and in aqueous solution. Journal of Chemical Information and Modeling 50(1): 87-96.
- Handley, C. M., Hawe, G. I., Kell, D. B. & Popelier, P. L. A. (2009). Optimal construction of a fast and accurate polarisable water potential based on multipole moments trained by machine learning. Physical Chemistry Chemical Physics 11(30): 6365-6376.
- Hawe, G. I. & Sykulski, J. K. (2008). A scalarizing one-stage algorithm for efficient multi-objective optimization. IEEE Transactions on Magnetics 44(6): 1094-1097.
- Hawe, G. I. & Sykulski, J. K. (2008). Scalarizing cost-effective multi-objective optimization algorithms made possible with kriging. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 27(4): 836-844.
- Hawe, G. I. & Sykulski, J. K. (2007). A hybrid one-then-two stage algorithm for computationally expensive electromagnetic design optimization. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 26(2): 236-246.
- Hawe, G. I. & Sykulski, J. K. (2007). Considerations of accuracy and uncertainty with kriging surrogate models in single-objective electromagnetic design optimisation. IET Science, Measurement & Technology 1(1): 37-47.