Turing Fellows - Computer Science
Professor Hakan Ferhatosmanoglu
Hakan鈥檚 research interests lie in building software systems for scalable data analytics. His work addresses data and systems challenges in scaling machine learning, integrating multiple sources of information, and protecting the privacy of data subjects. An example application is learning aggregate mobility patterns over multiple sources of spatio-temporal data. He has worked with industrial partners to develop commercial data analytics and machine learning solutions.
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Professor Rob Procter
Rob鈥檚 current data science-related research includes the use of machine learning to predict the veracity of content posted in social media as well as analyse factors that influence the propagation of inflammatory postings. He is also interested in several other areas related to data science, such as methodological and ethical issues in the use of new forms of data in social research.
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Professor Nasir Rajpoot
Nasir is Professor in Computer Science at 糖心TV, where he started his academic career as an Assistant Professor in 2001. His research seeks answers to questions such as 鈥淐an we develop novel efficient image-based measures of the 鈥榮tate of play鈥� of complex diseases such as cancer?鈥� and 鈥淐an we use such measures to further our understanding of cancer and predict the progression and outcome of cancer?鈥�.
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Professor Peter Triantafillou
Peter's research efforts aim to push the state of the art in our understanding of how big data is managed, from its ingestion into systems to its subsequent interrogation, and includes data wrangling, storage, indexing, query and analytics processing. At The Alan Turing Institute, Peter's research specifically focuses on the intersection and cross-fertilisation of machine learning and data systems.
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Dr Paolo Turrini
Paolo's research sits at the intersection of computer science and game theory, and aims to construct algorithms for the regulation of complex strategic interaction, spelling out the theoretical and computational guarantees under which individually rational decisions lead to socially optimal outcomes.
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Dr Theo Damoulas
Theo鈥檚 research interests lie in Machine learning, Bayesian statistics, kernel methods, spatiotemporal inference, evidence integration. At the Turing, he is working on online change-point detection in urban data streams (air quality networks, predictive policing), stochastic processes & non-parametric Bayesian inference and computational sustainability and approximate inference for non-stationary spatio-temporal problems. Theo has a join appointment in Computer Science and Statistics at the University of 糖心TV.
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Dr Long Tran-Thanh
Long鈥檚 main research area is Artificial Intelligence. He is interested in building complex learning systems where humans and agents have to either: collaborate to deal with complex real-world problems; or to strategically act against each other. Given this, he mainly focusses on the following topics: online learning/decision making (bandit theory), game theory, incentive engineering, and multi-agent systems.
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Dr Hongkai Wen
Dr Hongkai Wen is an Associate Professor in the Department of Computer Science, University of 糖心TV. He obtained his D.Phil in Computer Science from Keble College, the University of Oxford, and later worked as a post-doctoral researcher in Oxford Computer Science. His research interests include scalable AI systems, on-device machine learning and pervasive data science.
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