Zoomposium 4: 29 June 2020

Published: 29 June 2020

Dr LAIA VILA-NADAL: 'Metal oxides are great, what is next?' Dr TIMOTHY MOORSOM: 'Topological Plasmonics: Tying light in knots' Prof ANA BASIRI: 'Indicative Data Science: Extracting Information from Biased and Missing Data'

Watch Zoomposia 4 (password: 0v!9T.5M)


Dr Laia Vila-Nadal, School of Chemistry
'Metal oxides are great, what is next?'

Computational chemist by training, inorganic chemist by experience and biochemist at heart.

My background is in computational chemistry, mapping the self-assembly mechanisms of tungsten and molybdenum metal oxides. I can provide expertise in computational modelling of transition metals, coordination chemistry, porous materials and complementary metal-oxide-semiconductors (CMOS). Currently I am looking for experts in wood (lignin/cellulose/etc.) from structural engineering to materials science, as I would like to start research in this area. I am happy to start collaborations with researchers interested in finding new applications of porous metal oxides, sustainable energy and nitrogen fixation.


Dr Timothy Moorsom, School of Physics & Astronomy
'Topological Plasmonics: Tying light in knots'

Plasmonics involves confining and controlling light at the nano-scale using meta-materials and nano-structures. A novel branch of plasmonics involves using topological insulators. These materials have a unique electronic structure that can support near lossless transport of electrons. These special properties make topological insulators a potentially revolutionary new substrate for plasmonic data processing and communication.

At Glasgow, I will design and build devices where organic molecules are used to functionalise topological insulators for sensing and high-speed computing. I am interested in exploring radical new approaches to electronics and optics, utilising novel hybrid materials. I am also interested in surface science, coatings and interfaces, particularly how they can be used to address engineering challenges at the nano-scale.


Professor Ana Basiri, School of Geographical & Earth Sciences
'Indicative Data Science: Extracting Information from Biased and Missing Data'

Ana Basiri is Professor in Geospatial Data Science, and a UKRI Future Leaders Fellow. Ana works on statistical and machine learning solutions that embrace the challenges of data quality, bias, representativeness and missingness in 'new forms of data' such as crowdsourced data. These solutions are based on the mindset that considers the bias/missingness as a useful source of data to make inference about the underlying reasons for the missingness/bias. One application of this is extracting the 3D map using the spatio-temporal patterns of blockage and attenuation of the GPS signals (or other similar signals).

Ana is the Editor in Chief of Journal of Navigation and before joining the University of Glasgow, she was a lecturer at University College London, a European Research Council Fellow at The University of Southampton, a Marie Curie Fellow at the University of Nottingham, and a Postdoc Research Fellow at the Maynooth University of Ireland.

First published: 29 June 2020