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The Data Science and Artificial Intelligence (AI) | Research Group
We are developing analysis approaches that use a combination of data science and AI to exploit "big data".
We're a team of researchers, educators, and students based in the School of Computing Sciences, focused on pushing the boundaries of data science. From predictive analytics to machine learning, our projects cover a broad range of applications. Our goal is to decipher complex data, turning it into practical insights and solutions. The laboratory is co-led by Prof. Beatriz de la Iglesia and Prof. Wenjia Wang. Prof. de la Iglesia will be focusing on Data Science and Prof. Wang will be primarily leading Artificial Intelligence.
We have particular expertise in innovation projects with industry and are very keen to establish new collaborations. If you are interested in discussing an academic or industrial partnership with the Data Science Research Group, please contact our group leaders, Prof. Beatriz De La Iglesia and Prof. Wenjia Wang.
Research Themes
Research in our group encompasses the eight distinct themes listed below.
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Machine Learning
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Data in Health
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Data in Biology
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Time Series Analysis and Signal Processing
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Natural Language Processing
Publications and PhD Projects
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Publications
As a group, we are highly cited, have published in many high-impact journals and presented at prestigious, international conferences.
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Current PhD Projects
We are conducting cutting-edge research in data science and training the next generation of innovators.
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Funding
The Data Science Research Group pursues a wide range of projects with funding from research councils, industry, charities, and governments. This diverse financial support highlights the group's commitment to addressing real-world challenges, contributing to advancements in research, innovation, and technology.
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