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Computing Science and Maths Seminars, 2018/2019

Spring 19 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 here.

If you would like to give a seminar to the department in future or if you need more information,  
please contact the seminar organisers, Dr. Sandy Brownlee (sbr@cs.stir.ac.uk) and Dr. Wen-shin Lee (wsl@cs.stir.ac.uk)

Spring 2019

Date Speaker Title/Abstract
Friday
18th January
Lucia Vadicamo, Graduate Fellow, Institute of Information Science and Technologies, Pisa Improving Metric Search through Finite Isometric Embeddings
Metric search is concerned with the efficient evaluation of proximity queries in metric spaces. Most metric indexing and searching mechanisms rely upon the triangle inequality property. This property allows deriving bounds on the distance between data objects, which are used to efficiently exclude partitions of the data that do not contain solutions to a given query. This seminar will discuss a class of metric spaces meeting a stronger property, named n-point property, which is a condition defined in term of finite isometric embeddings into the Euclidean space. This property gives stronger geometric guarantees, in particular one named the Hilbert Exclusion property. Moreover, it can be used to embed metric objects into a finite-dimensional Euclidean space, which turns out to have implications not only for the similarity search but also for dimensionality reduction and data visualization tasks.

Bio:
Lucia Vadicamo graduated in Mathematics at the University of Pisa, Italy, in 2013 and was awarded a PhD in Information Engineering at the University of Pisa, Italy, in 2018. Her current research interests involve content-based image retrieval, similarity search and permutation-based indexing.
Friday
25th January
Prof. Rachel Norman, CSM, University of Stirling The Professional Doctorate
(non-research talk)

This session is aimed at those who are potentially interested in doing the Professional Doctorate in Big Data Science. This is a more applied form of a PhD and can follow on from the MScs run in the division.

This talk is mainly aimed at MSc students and undergraduates who are interested in this possibility. It will be an informal session with the opportunity to ask questions.
Friday
1st February
Prof. Paul Lambert, Sociology, Social Policy & Criminology, University of Stirling
Friday
8th February
Available slot
Friday
15th February
Paul McMenemy, CSM, University of Stirling
Friday
22nd February
Mid Semester break No seminar
Friday
1st March
Daniel Otero
Wednesday
6th March
Note different day!
Still 3pm, 4B96
Booked
Friday
8th March
Booked
Friday
15th March
Available slot
Friday
22nd March
Available slot
Friday
29th March
Available slot
Friday
18th January
Available slot
Friday
5th April
Available slot
Friday
12th April
Booked
Friday
19th April
Good Friday holiday - university closed
Friday
26th April
Dr. Marc Roper, University of Strathclyde
Friday
3rd May
Sarah Thomson, CSM, University of Stirling
Friday
10th May
Available slot
Previous Seminar Series
2018:   Spring   Autumn
2017:   Spring   Autumn
2016:   Spring   Autumn
2015:   Spring   Autumn
2014:   Spring   Autumn 2013:   Spring   Autumn
2012:   Spring   Autumn 2011:   Spring   Autumn 2010:   Spring   Autumn
2009:   Spring   Autumn 2008:   Spring   Autumn 2007:   Spring   Autumn
2006:   Spring   Autumn 2005:   Spring   Autumn 2004:   Spring   Autumn
2003:   Spring   Autumn 2002:   Spring   Autumn 2001:   Spring   Autumn
2000:   Spring   Autumn 1999:   Spring   Autumn 1998:   Spring   Autumn
1997:   Spring   Autumn 1996:   Autumn  

Top image: Glazed building facades along the trade-off of operational energy consumption for heating, lighting and cooling, vs capital construction cost, with a heatmap showing the result of mining a fitness model to identify ideal glazing locations.
Courtesy of Dr. Alexander Brownlee. Related to a recent publication:

Brownlee, A. E. I. Mining Markov Network Surrogates for Value Added Optimisation. Surrogate Assisted Evolutionary Optimisation (SAEOpt) Workshop in: Companion Proc. of the Genetic and Evolutionary Computation COnference 2016, Denver, CO, USA. DOI:10.1145/2908961.2931711


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Computing Science and Mathematics
Faculty of Natural Sciences
University of Stirling, Stirling FK9 4LA
Tel: +44 1786 46 7421


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