About
Thanassis is professor at the University of Southampton, School of Electronics and Computer Science (ECS), Web and Internet Science Group. He is enterprise champion for ECS and impact champion for computer science. He is also affiliated with the Institute for Life Sciences and the Southampton Marine and Maritime Institute at the University. His expertise is in decentralised data architectures, distributed linked data infrastructures, semantic technologies with application in education, and the study of the evolution and impact of the Web and the Internet as socio-technical artefacts. He has over 25 years of research and teaching experience through posts at University College London (UCL), the Athens Information Technology (AIT) institute, and the University of Southampton. He was Visiting Associate Professor at the Department of Computer Science, National University of Singapore in 2017-2019. He is a fellow and a chartered IT professional with the BCS, a senior member of IEEE, a fellow of the Higher Education academy in the UK, a member of the ACM and a member of the Technical Chamber of Greece.
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Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.
You’ll be able to add details about your research, publications, career and academic history to other sections of your staff profile.
Research
Research interests
- Decentralised information systems and infrastructures
- Data (and Web) observatories
- Bias in datasets and incassible algorithms
- IoT analytics
- Linked Data and Semantic Web technologies
Current research
His current research involves optimisation for keyword earch and distributed queries in decentralised data infrastructures, such as environemnts with personal online datastores where individuals maintain control over access and processing of their data. He is also interested in sociotechnical approaches to the identification and elimination of bias in datasets and inaccessible algorithms making use of crowdsourcing approaches, and in federated learning in decentralised infrastructures for the identification of cybersecurity threats.
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Research groups
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Research interests
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In Pure (opens in a new tab), select ‘Edit profile’. Under the heading 'Curriculum and research description', select 'Add profile information'. In the dropdown menu, select 'Research interests: use separate lines'.
Current research
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Research projects
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Publications
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Supervision
Current PhD Students
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Teaching
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Courses and modules
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External roles and responsibilities
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Biography
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Prizes
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