Sefki Kolozali

Sefki Kolozali


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Personal profile

Biographical details

I am a Research Associate in Applied Big Data Analysis at the MRC-PHE Centre for Environment and Health. I am working on exploring links between the environment and human health through the analysis of very large time series datasets. I am part of the COPE study team, which aims to reduce the frequency of hospital and GP visits by patients with respiratory disease. Previously, I worked as a Research Fellow in large-scale data analytics for the Internet of Things at the 5G innovation centre, University of Surrey, where I was a work package leader in large scale data analysis and seamless integration of data sources in the CityPulse project. I received a B.Sc. degree in Computer Engineering from Near East University, Nicosia, Turkish Republic of Northern Cyprus, in 2005. I received an M.Sc. degree from the University of Essex and a PhD degree from Queen Mary University of London. My thesis was titled Automatic Ontology Generation Based on Semantic Audio Analysis.

Research interests (short)

Internet of Things, Distributed Systems, Signal Processing, Machine Learning, and Semantic Web.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 11 - Sustainable Cities and Communities
  • SDG 16 - Peace, Justice and Strong Institutions


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