Cagatay Turkay

Cagatay Turkay

Senior Lecturer in Applied Data Science

Room: A401B
Department of Computer Science
City, University of London
tel: +44 20 7040 8415
fax: +44 20 7040 8845
Twitter: @cagatay_turkay


I am a Senior Lecturer in Applied Data Science at the giCentre. My research focuses on the tight integration of interactive visualizations, data analysis techniques and supporting exploratory knowledge and capabilities of experts. I have a background in computer science, visualization and computer graphics. I obtained a PhD in visualization (University of Bergen), MSc. (Sabanci Uni., Istanbul), and BSc. (METU, Ankara) in Computer Science. During my PhD, I had the privilage to work with Helwig Hauser from University of Bergen. During 2013, I served as a visiting research fellow at Harvard University. Since December 2013, I am based at City University London. You can download my CV here.


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.

Guest Editor for IEEE CG&A Special Issue
I am guest editing a Special Issue for IEEE CG&A on Smart City Applications together with Bob Laramee from Swansea University and Alark Joshi from University of San Francisco. Deadline January 1st 2018.

New H2020 Grant, August 2016
We have secured a EC H2020 grant (~€3.5m) for a project titled DiSIEM:Diversity Enhancement for Security Information and Event Management Systems. I am one of the investigators of the project and will research on how visualisation can help cyber security experts in their decision making processes.

New project with Redsift, January 2016
I am starting a new exciting project with the London-based technology company Redsift. The project is titled "Unravelling email data through interactive visual data analysis " and will investigate ways the role of interactive visual analysis within e-Discovery practices.

I try to collect old news items on this page.
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I am interested in designing interactive visual solutions that help analysts to extract knowledge and generate insight from their data to understand the underlying phenomena better. I usually develop methods that aim to seamlessly integrate automated computations in interactive visual data analysis. I have a special interest in high-dimensional, spatio-temporal, heterogenous and "big" data. I've been lucky to work with researchers from medicine, bioinformatics, biomolecular modelling, geography domain and tried to help them with their research questions. Within another line of research we look at how perceptual capabilities of humans could be considered to improve the resulting visualizations. We consider how the perception of shape and motion cues can be considered in visualization design.

I act as a guest editor for IEEE CG&A, Editorial Board Member for Machine Learning and Knowledge Extraction journal, serve as PC member for IEEE InfoVis (2017, 18), VAST (2018) and EuroVis (2017, 18), EuroVA, CD-MAKE, EurasiaGraphics and MIUA conferences. I am an active reviewer for IEEE TVCG, IEEE TBCC, CGI and several other journals and conferences.

Post-docs and PhD Students

I have the chance to work closely with some great research scientists at giCentre:

.. and supervise talented PhD students:

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I currently the Director of Postgraduate Studies at the Computer Science Department at City and also the Director for our new MSci degree in Data Science.

I am leading the Principles of Data Science module within our MSc. in Data Science. The module teaches the whole pipeline of data science from asking the right questions to building effective models while interrogating and sharing the results through interactive visualisations along the whole process. As of 2018, I am also teaching our Web Development module with Charles Perin. Back to Top


Some selected publications, refer to Google Scholar page or to my institution page for a full publication list.


Enhancing a Social Science Model-building Workflow with Interactive Visualisation
Turkay, C., Slingsby, A., Lahtinen, K., Butt, S. & Dykes, J.
The European Symposium on Artificial Neural Networks (ESANN 2016), April. 2016
Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi-perspective small multiples
Beecham, R., Rooney, C., Meier, S., Dykes, J., Slingsby, A., Turkay, C., Wood, J. and Wong, B.L.W.
Computer Graphics Forum, Jun. 2016
[pdf] [video]
Visualizing Multiple Variables Across Scale and Geography
Goodwin, S., Dykes, J., Slingsby, A. and Turkay, C.
IEEE Transactions on Visualization and Computer Graphics, Jan. 2016


Optimizing Processes in Visual Data Analysis through Progressive Computations
C. Turkay, Helwig Hauser.
1st UCL Workshop on the Theory of Big Data, Jan. 2015


Attribute Signatures: Dynamic Visual Summaries for Analyzing Multivariate Geographical Data [pdf] [video]
C. Turkay, Slingsby, A., Hauser, H., Wood, J. & Dykes, J. IEEE Transactions on Visualization and Computer Graphics, Dec. 2014
On Computationally-enhanced Visual Analysis of Heterogeneous Data and its Application in Biomedical Informatics [pdf]
C. Turkay, F.Jeanquartier, A.Holzinger, H.Hauser, Lecture Notes in Computer Science 8401, Springer Berlin Heidelberg, 2014
Interactive Visual Analysis of Heterogeneous Cohort Study Data [pdf]
P. Angelelli, S. Oeltze, J. Haasz, C. Turkay, E. Hodneland, A. Lundervold, A. J. Lundervold, B.Preim & H. Hauser, IEEE Computer Graphics and Applications, April 2014.
Perceptually Uniform Motion Space [pdf]
A.Birkeland, C. Turkay & I.Viola, IEEE Transactions on Visualization and Computer Graphics, May 2014
Characterizing cancer subtypes using dual analysis in Caleydo StratomeX [pdf]
Turkay, C., Lex, A., Streit, M., Pfister, H. and Hauser, H, IEEE Computer Graphics and Applications, 34(2), 2014
Visualizing Time Series Predictability [pdf]
C. Turkay. IEEE VIS 2014 Workshop on Visualization for Predictive Analytics, Nov. 2014
Supporting Decision-making for Biometric System Deployment through Visual Analysis [pdf]
C. Turkay, Mason, S., Gashi, I. & Cukic, B. Workshop on Reliability and Security Data Analysis (RSDA), Nov. 2014
Interactive Generation of Visual Summaries for Multivariate Geographical Data Analysis
C. Turkay, Slingsby, A., Hauser, H., Wood, J. & Dykes, J. Workshop on GeoVisual Analytics: Interactivity, Dynamics, and Scale at GIScience 2014


Visual Cavity Analysis in Molecular Simulations [pdf]
by J. Parulek, C. Turkay, N. Reuter, I. Viola. BMC Bioinformatics, 2013.
Hypothesis Generation by Interactive Visual Exploration of Heterogeneous Medical Data [pdf]
C. Turkay, A. Lundervold, A.J.Lundervold, H. Hauser Springer LNCS (HCI-KDD within SouthCHI 2013), 2013


Representative factor generation for the interactive visual analysis of high-dimensional data [pdf]
C. Turkay, Lundervold, A., Lundervold, A.J. & Hauser, H. IEEE Transactions on Visualization and Computer Graphics, 2012.
A perceptual-statistics shading model. [pdf]
Šoltészová, V,C. Turkay, Price, M. C. & Viola, I. IEEE Transactions on Visualization and Computer Graphics, 2012
Implicit surfaces for interactive graph based cavity analysis of molecular simulations [pdf]
Parulek, J.,C. Turkay, Reuter, N. & Viola, I. 2nd IEEE Symposium on Biological Data Visualization, BioVis, 2012
Dual analysis of DNA microarrays [pdf]
C. Turkay, Parulek, J. & Hauser, H. 12th International Conference on Knowledge Management and Knowledge Technologies, i-KNOW, 2012


Interactive visual analysis of temporal cluster structures [pdf]
C. Turkay, Parulek, J., Reuter, N. & Hauser, H. Computer Graphics Forum (EuroVis 2011) , 2011
Brushing dimensions--a dual visual analysis model for high-dimensional data [pdf]
C. Turkay, Filzmoser, P. & Hauser, H. IEEE Transactions on Visualization and Computer Graphics , 2011
Integrating cluster formation and cluster evaluation in interactive visual analysis [pdf]
C. Turkay, Parulek, J., Reuter, N. & Hauser, H. 27th Spring Conference on Computer Graphics, (SCCG 2011), 2011