Email: p.white@soton.ac.uk
Email: t.o.m.davies@soton.ac.uk
Romero Moreno, Guillermo, Niranjan, Mahesan and Prugel-Bennett, Adam (2019) Saliency map on Cnns for protein secondary structure prediction. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. pp. 1249-1253 . (doi:10.1109/ICASSP.2019.8683603).
Romero Moreno, Guillermo, Tran-Thanh, Long and Brede, Markus (2020) Shielding and shadowing: a tale of two strategies for opinion control in the voting dynamics. Cherifi, Hocine, Gaito, Sabrina, Mendes, Jos Fernendo, Moro, Esteban and Rocha, Luis Mateus (eds.) In Complex Networks and Their Applications VIII: Volume 1: Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019. vol. 881, Springer. pp. 682-693 . (doi:10.1007/978-3-030-36687-2_57).
Romero Moreno, Guillermo, Manino, Edoardo, Tran-Thanh, Long and Brede, Markus (2020) Zealotry and influence maximization in the voter model: when to target zealots? Barbosa, Hugo, Menezes, Ronaldo, Gomez-Gardenes, Jesus, Gonalves, Bruno, Mangioni, Giuseppe and Oliveira, Marcos (eds.) In Complex Networks XI - Proceedings of the 11th Conference on Complex Networks, CompleNet 2020: Proceedings of the 11th Conference on Complex Networks CompleNet 2020. Springer. pp. 107-118 . (doi:10.1007/978-3-030-40943-2_10).
Romero Moreno, Guillermo, Tran-Thanh, Long and Brede, Markus (2020) Continuous influence maximisation for the voter dynamics: is targeting high-degree nodes a good strategy? International Conference on Autonomous Agents and Multi-Agent Systems 2020, , Auckland, New Zealand. 09 - 13 May 2020. 3 pp .
Romero Moreno, Guillermo, Padilla, Javier and Chueca, Enrique (2020) Learning VAA: a new method for matching users to parties in voting advice applications. Journal of Elections, Public Opinion and Parties. (doi:10.1080/17457289.2020.1760282).
Manino, Edoardo, Romero Moreno, Guillermo, Cai, Zhongqi and Brede, Markus (2020) Influencing the dynamics of correlated opinions in the voter model on multiplex networks. International School and Conference on Network Science, , Rome, Italy. 17 - 25 Sep 2020. 1 pp . (In Press)
Romero Moreno, Guillermo, Padilla, Javier and Brede, Markus (2021) The effects of party competition on consensus formation. In ABMHuB'2021: 3rd International Workshop on Agent-Based Modelling of Human Behaviour. 7 pp .
Romero Moreno, Guillermo, Padilla, Javier and Brede, Markus (2021) The effects of party competition on consensus formation. Opinion and Language Dynamics: A Satellite of the Conference Networks2021, Virtual.
Romero Moreno, Guillermo, Chakraborty, Sukankana and Brede, Markus (2021) Shadowing and shielding: effective heuristics for continuous influence maximisation in the voting dynamics. PLoS ONE, 16 (6), [e0252515]. (doi:10.1371/journal.pone.0252515).
Padilla, Javier, Ramos, Javier, Romero Moreno, Guillermo and Chueca, Enrique (2021) A normative set of criteria to increase political competence through voting advice applications. International Journal of Electronic Governance, 13 (2), 149-175. (doi:10.1504/IJEG.2021.116869).
Brede, Markus and Romero Moreno, Guillermo (2021) Sensing enhancement on complex networks. In Proceedings of the Conference on Complex Networks and their Applications 2021. Springer.. (In Press)
Brede, Markus and Romero Moreno, Guillermo (2022) Sensing enhancement on social networks: the role of network topology. Entropy, 24 (5), [738]. (doi:10.3390/e24050738).
Email: grm1g17@soton.ac.uk
Telephone: +44 (0) 23 8059 7561788487
Email: lz3g19@soton.ac.uk
Telephone: +44 (0) 23 8059 7510876116
Email: jc1u17@soton.ac.uk
2013-2017 Bachelor of Science in Microelectronic Science and Engineering, Shenzhen University
2017-2018 Master of Science in Microelectronic Systems Design, University of Southampton
2018-present pursuing PhD of Electronics and Electrical Engineering, University of Southampton
I am currently pursuing PhD studies in Electronic Materials & Devices Research Group, working towards the memristor-based analogue & mixed-signal integrated circuit (IC) design and cognitive computing.
Serb, Alexantrou, Kobyzev, Ivan, Wang, Jiaqi and Prodromakis, Themis (2020) A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378 (2164), 1-18, [20190162]. (doi:10.1098/rsta.2019.0162).
Wang, Jiaqi, Serb, Alexantrou, Papavassiliou, Christos, Maheshwari, Sachin and Prodromakis, Themistoklis (2021) Analysing and measuring the performance of memristive integrating amplifiers. International Journal of Circuit Theory and Applications, 49 (11), 3507-3525. (doi:10.1002/cta.3101).
Maheshwari, Sachin, Stathopoulos, Spyros, Wang, Jiaqi, Serb, Alexantrou, Pan, Yihan, Mifsud, Andrea, Leene, Lieuwe, Shen, Jiawei, Papavassiliou, Christos, Constandinou, Timothy and Prodromakis, Themistoklis (2021) Design flow for hybrid CMOS/memristor systems-part I: modelling and verification steps. IEEE Transactions on Circuits and Systems I: Regular Papers, 68 (12), 4862-4875. (doi:10.1109/TCSI.2021.3122343).
Maheshwari, Sachin, Stathopoulos, Spyros, Wang, Jiaqi, Serb, Alexantrou, Pan, Yihan, Mifsud, Andrea, Leene, Lieuwe, Shen, Jiawei, Papavassiliou, Christos, Constandinou, Timothy and Prodromakis, Themistoklis (2021) Design flow for hybrid CMOS/memristor systems part II: circuit schematics and layout. IEEE Transactions on Circuits and Systems I: Regular Papers, 68 (12), 4876-4888. (doi:10.1109/TCSI.2021.3122381).
Email: jw9y17@soton.ac.uk
Teaching Fellow in ECS.
Taught modules include Professional Development, Data Visualisation and Data Mining.
After 11 years teaching English and Media in a big secondary school (including a sixth form) I decided to take a break and do something completely different. I completed the Web Science MOOC on Futurelearn, and from there completed a Masters and a PhD here at the the University of Southampton.
I'm now a Teaching Fellow here, based in the research group WAIS (Web and Internet Science).
There is plenty of research around Education and students; how students learn (in different key stages), online and blended learning, assessment etc. What is lacking is a focus on teachers: what they say, where they say it, the communities they form, the impact of online learning on their teaching practice; and how the Web has facilitated this.
My first major piece of research focused on how teachers use blogs: what they write, whether this has changed over time, and whether it's possible to see the impact of Education policy in the Edu-blogosphere. However, there is much useful conversation also happening on Twitter. Can these be linked? Can we add useful data, such as blog titles and tags to improve topic modelling, or classifier models? Couold we build a knowledge graph and create something that would be useful to the teaching community?
Hewitt, Sarah (2020) Revealing the content of the edu-blogosphere: taking a seat in the virtual staffroom. University of Southampton, Doctoral Thesis, 194pp.
Hewitt, Sarah (2021) AI3SD Video: Writing a CV. Frey, Jeremy G., Kanza, Samantha, Knight, Nicola and Hooper, Victoria (eds.) Skills4Scientists Seminar Series 2021. 07 Jul - 02 Sep 2021. (doi:10.5258/SOTON/P0140).
Email: sarah.hewitt@soton.ac.uk
Isuwa, Samuel (2022) Dataset for QUAREM: Maximising QoE through Adaptive Resource Management in Mobile MPSoC Platforms. University of Southampton doi:10.5258/SOTON/D2153 [Dataset]
Isuwa, Samuel, Dey, Somdip, Ortega, Andre P., Singh, Amit Kumar, Al-Hashimi, Bashir M. and Merrett, Geoff (2022) QUAREM: Maximising QoE through Adaptive Resource Management in Mobile MPSoC Platforms. ACM Transactions on Embedded Computing Systems. (In Press)
Research software engineers will use machine learning to explore polarisation and disengagement with politics as part of a new Future Leaders Fellowship at the University of Southampton.
The Rebooting Democracy project with Dr Matt Ryan is one of two new fellowships awarded to the Russell Group University by the UK Research and Innovation (UKRI) scheme.
Matt, a Lecturer in Governance and Public Policy, will work across three phases with the Southampton Research Software Group on the £1.197 million programme.
Democracy is in trouble, he explains. Most people agree that democracy is a good thing, but there are issues with how it works in practice including declining trust in government and political parties, distorted digital communications, and rising polarisation and extremism in politics.
Phase one will involve combining data from surveys, crowdsourcing and social media to determine conditions in the past that have led to increases in positive democratic behaviours.
The Research Software Group will then build a dashboard where social media data and machine learning are used to create an early warning system to tell governments and civil society groups what people are saying about various issues, or when issues are bubbling under that they should consult on.
For its third phase, the project will run trials using the information in the dashboard, working with partners such as Southampton City Council, Involve, and the World Bank, to make recommendations on what and how bodies should engage with the population.
We have huge problems with democracy because people are polarising and the compromise that is essential to politics is becoming harder to reach, Matt says. How can we engage people in the right ways? How can we avoid violence, hate speech and so on?
Brexit is a symptom of this the discourse its created is much more polarised than before. There are many other examples in everyday life issues such as climate change or intergenerational fairness create polarisation.
Rebooting Democracy will recruit two post-doctoral researchers to advance the programme.
Professor Simon Hettrick, Co-Director of the Southampton Research Software Group, adds, We are really excited about working with Matt on this important and highly topical project. Combining Matts expertise with our robust software engineering will produce a tool that allows vital insight into democratic processes.
In Southamptons second new Future Leaders Fellowship, Dr Christina Vanderwel will simulate wind patterns around buildings to assess their impact on the air quality of cities.
The project, which has been awarded £943,000, will print 3D scale models of suburban and urban landscapes, then inject dye into a water tunnel to observe how pollution spreads. The research will inform computer models that are used to determine the potential of buildings creating pollution hotspots.
The two fellowships are among around 70 to be awarded across the country. Earlier this year, Dr Sarah Lewthwaite won a Future Leaders Fellowship in the schemes first round for her research into digital accessibility education.