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Electronics and Computer Science

Published: 20 April 2022
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EEE is placed 65th in the world and seventh in the UK in the QS (Quacquarelli Symonds) rankings that are internationally recognised indicators of excellence to rate and rank the world's leading universities.

It joins Mechanical, Aeronautical and Manufacture Engineering that rises 12 places to 63rd in the world (sixth in the UK), and Engineering and Technology that is 85th in the world (seventh in the UK). Civil and Structural Engineering remains in the world's 51-100 place band.

As well as providing global rankings at institutional level, QS ranks universities in individual subject areas using data compiled from global surveys of academics and employers

Southampton's performance in all the areas listed is powered by the University's continued improvement in reputational rating among academic peers and employers around the world and good scores for research citations and 'h-index', which measures the productivity and impact of work published by scientists and scholars in each subject.

Associate Dean of Research, Engineering and Physical Sciences, Professor Robert Wood, said: "It is fantastic to see Electrical and Electronic Engineering being recognised so highly in these global rankings. It is a measure of success that reflects not only the hard work and dedication of our staff, but also our excellent facilities, the high quality of our students and the relevance and reach of our research in this discipline."

The University has 12 subjects ranked in the global top 100 - six are in the global top 50, twice as many as last year. This is a marque of consistent quality, indicative of its place among the best universities in the world.

Elsewhere in Engineering and Physical Sciences, Physics and Astronomy rises 11 places to 55th (seventh in the UK).

This continued success in the QS World University Rankings by Subject 2022, demonstrates and strengthens the University of Southampton's position as one of the world's leading universities.

Read the full University QS Rankings by Subject story here.

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My work revolves around proposing novel computational methods for machine learning with applications to text mining. Specifically, my work has centred around learning low-dimensional representations of natural language text on a large scale. Among others, I have developed a variety of probabilistic topic models, which have seen applications in text mining and information retrieval, as well as vector space embeddings, which have shown promising results in tasks such as knowledge base completion and commonsense reasoning.

Research

Research interests

  1. Natural language processing
  2. Information retrieval
  3. Computer vision
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Publications

Burmann, Jan, Gerding, Enrico and Rastegari, Baharak (2020) Fair allocation of resources with uncertain availability. Nineteenth International Conference on Autonomous Agents and Multi-Agent Systems, , Auckland, New Zealand. 09 - 13 May 2020. 9 pp .

Burmann, Jan (2020) Efficiency and fairness of resource utilisation under uncertainty: doctoral consortium. Nineteenth International Conference on Autonomous Agents and Multi-Agent Systems, , Auckland, New Zealand. 09 - 13 May 2020. 3 pp .

Burmann, Jan and Zhang, Jie (2020) Multi-robot adversarial patrolling strategies via lattice paths. 29th International Joint Conference on Artificial Intelligence, , Yokohama, Japan. 11 - 17 Jul 2020. 7 pp .

Buermann, Jan, Georgiev, Dimitar, Gerding, Enrico, Hill, Lewis, Malik, Obaid, Pop, Alexandru, Pun, Matthew, Ramchurn, Sarvapali, Salisbury, Elliot and Stojanovic, Ivan (2022) An agent-based simulator for maritime transport decarbonisation: Demonstration track. 21st International Conference on Autonomous Agents and Multiagent Systems, Online. 09 - 13 May 2022. pp. 1890-1892 . (doi:10.48448/ew81-ws95).

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- Event

Date:
6th of April, 2022  @  12:00 - 13:00
Venue:
Bld 53/4025

Event details

​This talk will be divided into two segments:

The details of the talk and speakers are as follows: 

Talk 1 (12-12:25pm)
Title: Application of Laser Processing for Controlling IV Group Semiconductors Properties: Si, Ge, SiGe, GeSn
Speaker: Dr Pavels Onufrijevs (Riga Technical University)
Abstract:Lasers are highly versatile in semiconductor processing and have a wide range of applications. A new approach is proposed – to use a temperature gradient field induced by powerful pulsed laser radiation with the aim to generate and redistribute point defects and impurity atoms. In this case, there is a possibility to form a graded bandgap structure, form nano-cones, homo- and hetero-junction. The most recent topic of investigation is related to overcoming the equilibrium solubility of Sn atoms in Ge and the relaxation of residual strain in GeSn epitaxial layers by laser radiation. These results could be interesting for the formation of direct bandgap GeSn layers for the construction of IR photodiodes with controlled absorption spectra.

Talk 2 (12:25-12:50pm)Title: Application of Laser Processing for Controlling Material Properties: Tin Sulphides and Titanium
Speaker: Dr Liga Grase (Riga Technical University)
Abstract:Laser-induced changes in morphology and phase composition of tin sulphides and titanium allow us to obtain structures with enhanced properties. In the first case, tin disulphide thin films, obtained by close-spaced sublimation method, were irradiated by Nd:YAG laser in order to obtain a layer of tin monosulphide. Furthermore, irradiation of tin monosulphide leads to the formation of a layer of metallic Sn. By considering that n-SnS2 and p-SnS possessed different types of conductivity, this method could be used to obtain solar cells with metallic Sn contact. In the second case, titanium plates were irradiated by femtosecond laser in order to obtain laser-induced periodic surface structures (LIPSS) as well as change the chemical composition of the surface layer. Such structure showed enhanced antibacterial properties against S.aureus and E.coli bacteria in comparison with untreated Ti plates.




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Contact

Email: milosz@soton.ac.uk

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Publications

German, Laura (2015) Academic research data re-usage in a digital age: modelling best practice. University of Southampton, Southampton Law School, Doctoral Thesis, 335pp.

Staab, Steffen, Stalla-Bourdillon, Sophie and Carmichael, Laura (2016) Observing and recommending from a social web with biases (Web Science Institute (WSI) Pump - Priming Project) Southampton, GB. University of Southampton 37pp.

Carmichael, Laura, Stalla-Bourdillon, Sophie and Staab, Steffen (2016) Data mining and automated discrimination: a mixed legal/technical perspective. IEEE Intelligent Systems, 31 (6), 51-55. (doi:10.1109/MIS.2016.96).

German, Laura, Kalagiros, Costas, Kanakakis, Michalis, Nasser, Bassem, Stalla-Bourdillon, Sophie, van der Graaf, Shenja, Vanobberghen, Wim and Wiegand, Stefanie (2015) OPTET D2.5 - Consolidated report on the socio-economic basis for trust and trustworthiness Southampton. University of Southampton 87pp.

German, Laura, Kalogiros, Costas, Kanakakis, Michalis, Nasser, Bassem, Stalla-Bourdillon, Sophie, van der Graaf, Shenja, Vanobberghen, Wim and Wiegand, Stefanie (2015) OPTET D2.4 Socio-economic evaluation of trust and trustworthiness Southampton. University of Southampton 92pp.

Carmichael, Laura, Cradock, Emma and Stalla-Bourdillon, Sophie (2018) Article 89 of the General Data Protection Regulation. In, Spiecker Döhmann, Indra, Papakonstantinou, Vagelis, Hornung, Gerrit and de Hert, Paul (eds.) Commentary on the General Data Protection Regulation. Nomos. (In Press)

Carmichael, Laura, Cradock, Emma and Stalla-Bourdillon, Sophie (2018) Article 30 of the General Data Protection Regulation. In, Spiecker Döhmann, Indra, Papakonstantinou, Vagelis, Hornung, Gerrit and de Hert, Paul (eds.) Commentary on the General Data Protection Regulation. Nomos. (In Press)

Carmichael, Laura, Cradock, Emma and Stalla-Bourdillon, Sophie (2018) Article 21 of the General Data Protection Regulation. In, Spiecker Döhmann, Indra, Papakonstantinou, Vagelis, Hornung, Gerrit and de Hert, Paul (eds.) Commentary on the General Data Protection Regulation. Nomos. (In Press)

Carmichael, Laura, Cradock, Emma and Stalla-Bourdillon, Sophie (2018) Article 11 of the General Data Protection Regulation. In, Spiecker Döhmann, Indra, Papakonstantinou, Vagelis, Hornung, Gerrit and de Hert, Paul (eds.) Commentary on the General Data Protection Regulation. Nomos. (In Press)

Stalla-Bourdillon, Sophie, Thuermer, Gefion, Walker, Johanna, Catherine and Carmichael, Laura (2019) Data protection by design: building the foundations of trustworthy data sharing. In Proceedings of Data for Policy Conference 2019. 6 pp . (doi:10.5281/zenodo.3079895).

Stalla-Bourdillon, Sophie, Thuermer, Gefion, Walker, Johanna, Carmichael, Laura and Simperl, Elena (2020) Data protection by design: building the foundations of trustworthy data sharing. Data & Policy, 1 (1).

Stalla-Bourdillon, Sophie, Wintour, Alexsis and Carmichael, Laura (2019) Building trust through data foundations: a call for a data governance model to support trustworthy data sharing (WSI White Papers, 2) Southampton. University of Southampton 31pp. (doi:10.5258/SOTON/WSI-WP002).

Stalla-Bourdillon, Sophie, Carmichael, Laura and Wintour, Alexsis (2020) Fostering trustworthy data sharing: establishing data foundations in practice. In Data for Policy Proceedings Zenodo.

Boniface, Michael, Carmichael, Laura, Hall, Wendy, Pickering, Brian, Stalla-Bourdillon, Sophie and Taylor, Steve (2020) A blueprint for a social data foundation: Accelerating trustworthy and collaborative data sharing for health and social care transformation (Web Science Institute White Papers, 4) Southampton. University of Southampton 46pp. (doi:10.5258/SOTON/WSI-WP004).

Tsakalakis, Nikolaos, Stalla-Bourdillon, Sophie, Carmichael, Laura, Huynh, Trung Dong, Moreau, Luc and Helal, Ayah (2020) The dual function of explanations: why it is useful to compute explanations. Computers, Privacy & Data Protection 2021: Enforcing Rights in a Changing World, , Brussels, Belgium. 27 - 29 Jan 2021. (In Press)

Stalla-Bourdillon, Sophie, Carmichael, Laura and Wintour, Alexsis (2021) Fostering trustworthy data sharing: Establishing data foundations in practice. Data & Policy, 3 (e4). (doi:10.1017/dap.2020.24).

Tsakalakis, Niko, Stalla-Bourdillon, Sophie, Carmichael, Laura, Huynh, Trung Dong, Moreau, Luc and Helal, Ayah (2021) The dual function of explanations: Why it is useful to compute explanations. Computer Law and Security Review: The International Journal of Technology Law and Practice, 41, [105527]. (doi:10.1016/j.clsr.2020.105527).

Boniface, Michael, Carmichael, Laura, Hall, Wendy, Pickering, Brian, Stalla-Bourdillon, Sophie and Taylor, Steve (2022) The Social Data Foundation model: Facilitating health and social care transformation through datatrust services. Data & Policy, 4 (e6).

Boniface, Michael, Hall, Wendy, Stalla-Bourdillon, Sophie, Pickering, Brian, Taylor, Steve, Carmichael, Laura and Hardinges, Jack (2021) HSCT 2021-Joined up data equals better care: facilitating health and social care transformation through trustworthy and collaborative data sharing: welcome and workshop summary. In WebSci 2021 - Proceedings of the 13th ACM Web Science Conference (Companion Volume). ACM Press. pp. 44-45 . (doi:10.1145/3462741.3466646).

Tsakalakis, Niko, Stalla-Bourdillon, Sophie, Carmichael, Laura, Huynh, Dong, Moreau, Luc and Helal, Ayah (2021) The dual function of explanations: Why computing explanations is of value. In, Hallinan, Dara, Leenes, Ronald and De Hert, Paul (eds.) Data Protection and Privacy: Enforcing Rights in a Changing World. (Computers, Privacy and Data Protection, 14) Bloomsbury Publishing, 127–156. (doi:10.5040/9781509954544.ch-005).

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