Dr Sefki Kolozali
Email
sefki.kolozali@essex.ac.ukTelephone
+44 (0) 1206 873302
Location
5A.523, Colchester Campus
Academic support hours
Tuesday between 10:30AM (zoom: 91390146531)
Biography
I am a Lecturer in Embedded and Intelligent Systems at the University of Essex, and I am part of the Robotics and Embedded Systems Research Group. My interests include the fields of Internet of Things, Edge Computing, Machine Learning, Time Series Analysis, Signal Processing, Semantic Web, Federated Learning and their applications to various healthcare scenarios. Additionally, I have a particular interest in high-order tensor decompositions, multi-aspect learning, multimodal learning, explainable AI, and energy-efficient AI technologies. I am a member of the EPSRC Peer Review College and a registered expert with the European Commission. Additionally, I serve as an editor at PLOS ONE and as a reviewer for both the EPSRC and the European Commission. Furthermore, I act as a reviewer for several prominent journals, including the IEEE Internet of Things Journal, ACM Transactions on Internet of Things, IEEE Transactions on Emerging Topics in Computing, IEEE Transactions on Industrial Informatics, and Neural Computing and Applications. I am leading the Internet of Things and Machine Intelligence Lab as part of the Future Health Technologies cluster. Previously, I was a Postdoctoral Research Fellow at the Institute of Analytics and Data Science, University of Essex. Before that I worked as a Research Associate in Applied Big Data Analysis at the MRC-PHE Centre for Environment and Health, King's College London. I worked on exploring links between the environment and human health through the analysis of very large time series datasets. I was part of the COPE study team, which aimed to reduce the frequency of hospital and GP visits by patients with respiratory disease. I also 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 (NEU), Nicosia, Turkish Republic of Northern Cyprus (TRNC), in 2005. I received an M.Sc. degree from the University of Essex and a PhD degree from Queen Mary University of London (QMUL). My thesis was titled Automatic Ontology Generation Based on Semantic Audio Analysis. I received full scholarship for BSc from the NEU and TRNC, and full scholarship for PhD from the NEMA and EPSRC projects at QMUL.
Qualifications
PhD on Automatic Ontology Generation Based on Semantic Audio Analysis Queen Mary University of London, (2013)
MSc in E-Commerce Technologies University of Essex, (2008)
BSc in Computer Engineering Near East University, (2005)
Appointments
University of Essex
Postdoctoral Research Fellow, Institute for Analytics and Data Science, University of Essex (2/7/2018 - 14/1/2020)
Other academic
Lecturer in Embedded and Intelligent Systems, School of Computer Science and Electronic Engineering, University of Essex (15/1/2020 - present)
Research Associate in Applied Big Data Analysis, MRC-PHE Centre for Environment and Health, Faculty of Life Sciences, King's College London (1/9/2016 - 30/4/2018)
Research Fellow in Large-scale data analytics for the Internet of Things, 5G Innovation Centre, Institute for Communication Systems (ICS), University of Surrey (4/2/2014 - 31/8/2016)
