Cagatay Turkay
Senior Lecturer in Applied Data Science
Room: A401B
Department of Computer Science
City, University of London
Cagatay Turkay.1@city.ac.uk
tel: +44 20 7040 8415
fax: +44 20 7040 8845
Twitter: @cagatay_turkay
News (October 2019): I recently moved to University of Warwick, my new contact details are on my Warwick page.
About
I am currently a Senior Lecturer in Applied Data Science at the giCentre within the Computer Science Department at City, University of London. I have a PhD degree in Visualisation from University of Bergen, Norway in 2014, served as a visiting research fellow at Harvard University in 2013, and since 2014 I carry out my research and teach at City, University of London. My research falls under the broad area that can be referred to as Visual Data Science and focuses on designing visualisations, interactions and computational methods to enable an effective combination of human and machine capabilities to facilitate data-intensive problem solving. I try to understand how people make decisions together with algorithms, investigate the role of interactive visual computing in this process, and also design & build techniques and systems that build on this foundational understanding. I frequently publish my research on visualisation journals such as IEEE TVCG, CGF, and IEEE CG&A, as well as journals in machine learning and data mining. A copy of my (probably dated) CV is here
News
EuroVis Young Researcher Award 2019- I've been named the EuroVis Young Researcher of 2019 at the EuroVis 2019 in Porto.
Open Practices Co-Chair at IEEE VIS 2019- I will be acting as the Open Practices Co-chair at IEEE VIS 2019 for IEEE VAST. We will be promoting and facilitating better openness practices at VIS.
EuroVA 2019 in Porto, Portugal- I am co-chairing EuroVA 2019 Workshop co-located with EuroVis 2019 in Porto in June 2019 together with Tatiana von Landesberger, Technische Universität Darmstadt.
BioVis Challenges Workshop at IEEE VIS 2018 in Berlin- I am co-organising BioVis Challenges Workshop at IEEE VIS 2018 in Berlin in October 2018 together with Nils Gehlenborg from Harvard University.
New EPSRC Grant, December 2017- My project titled NlViS: Natural Language Interaction for Visual Data Analysis has been funded by EPSRC as part of the EPSRC's First Grant Scheme. The project aims to develop a fundamental understanding of how analysts can use natural language elements to perform visualisation empowered data analysis. Redsift Inc. is a project partner and aiming to productise some of the project outcomes. Further details here.
Progressive Data Science: Potential and Challenges
Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling
Understanding User Behaviour through Action Sequences: from the Usual to the Unusual
Towards Natural Language Empowered Interactive Data Analysis
Hunting High and Low: Visualising Shifting Correlations in Financial Markets
The State of the Art in Integrating Machine Learning into Visual Analytics
Designing Progressive and Interactive Analytics Processes for High-Dimensional Data Analysis
Map LineUps: Effects of spatial structure on graphical inference
Small Multiples with Gaps
Supporting Theoretically-grounded Model Building in the Social Sciences through Interactive Visualisation
Enhancing a Social Science Model-building Workflow with Interactive Visualisation
Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi-perspective small multiples
Visualizing Multiple Variables Across Scale and Geography
Optimizing Processes in Visual Data Analysis through Progressive Computations 
Interactive Generation of Visual Summaries for Multivariate Geographical Data Analysis
