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Computing Science Seminars, Spring 2017

Spring 16 image

Seminars will take place in Room 4B96,  Cottrell Building, University of Stirling. Normally, from 15.00 to 16.00 on Friday afternoons during semester time, unless otherwise stated. For instructions on how to get to the University, please look at the following routes.

If you would like to give a seminar to the department in future or if you need more information,  
please contact the seminar organiser, Dr. Jess Enright (

Autumn 2017/Spring 2018

Date Speaker Title/Abstract
8th Sept
Dr. Dalila Hamami Controlling and understanding infectious diseases through data mining and modeling   Abstract: Vaccination programs for childhood diseases, such as measles, mumps and rubella have greatly contributed to decreasing the incidence and impact of those diseases. Nonetheless, despite long vaccination programmes across the world, mumps has not yet been eradicated in those countries. A resurgence of mumps disease has been investigated by a massive number of computational models to assist decision-making in public health epidemiology. However, achieving the best model is a complex task due to the interaction of many components and variability of parameter values causing radically different dynamics. The modelling process can be enhanced through the use of data mining techniques. We demonstrate this by applying association rules and clustering techniques to two stages of modelling: identifying pertinent structures in the initial model creation stage, and choosing optimal parameters to match that model to observed data. This is illustrated through application to the study of the circulating mumps virus in Scotland, 2004-2015.
29 Sept
Dr. Sandy Brownlee Planes, training and optimobiles: adding value to optimisation in the real world   Optimisation problems can be found nearly anywhere. There is always something that can be made greener, faster or more efficient. With a little machine learning, a lot of metaheuristics, some exact methods and a bit of visualisation, we can provide near-optimal solutions to real-world problems, but better still we can explain how we got there, and why the solutions are the right ones. This talk will focus on some ongoing work I have in modelling and optimisation of taxiing aircraft, and in optimal building design. I'll also touch on a few other application areas I'm interested in - all of which are about "adding value" to optimisation.
3rd Nov
Dr. Paul McMenemy Title TBD   Abstract TBD
10th Nov
Prof. Quintin Cutts Title TBD   Abstract TBD
17th Nov
Dr. Fiona McNeill Title TBD   Abstract TBD
Prof. Leslie Smith Title TBD   Abstract TBD
1 Dec
Dr. Nada Veerapen Title: Exploring Search-Based Software Engineering Fitness Landscapes  Abstract TBD
26th January
Prof. Muffy Calder OBE FRSE FREng Title TBD   Abstract TBD
Previous Seminar Series
2016:   Spring   Autumn
2015:   Spring   Autumn
2014:   Spring   Autumn
2013:   Spring   Autumn
2012:   Spring   Autumn
2011:   Spring   Autumn
2010:   Spring   Autumn

Top image: Illustrated example of running the Epsilon-constraint algorithm in order to maximise two objectives: find an optimal solution for objective 1; restrict the solution space according to the solution's value for objective 2 and look for an optimum solution of objective 1 in that space; repeat the previous step until there are no more solutions to be found. Any dominated solutions need to be filtered out of the set of solutions.
Courtesy of Dr. Nadarajen Veerapen. Related to a recent publication:

N. Veerapen, G. Ochoa, M. Harman and E. K. Burke. An Integer Linear Programming approach to the single and bi-objective Next Release Problem. Information and Software Technology, Volume 65, September 2015, Pages 1-13, ISSN 0950-5849. DOI:10.1016/j.infsof.2015.03.008

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Computing Science and Mathematics
Faculty of Natural Sciences
Room 4B102, Cottrell Building
University of Stirling, Stirling FK9 4LA
Tel: +44 1786 46 7286

© University of Stirling FK9 4LA Scotland UK • Telephone +44 1786 473171 • Scottish Charity No SC011159
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