Cagatay Turkay

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

About

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.

News

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 co-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.

Dagstuhl Seminar, March 2015
I attended a Dagstuhl seminar on "Bridging Information Visualization with Machine Learning" early this March. A very interesting week and hopefully some material soon to follow up on this event.

I try to collect old news items on this page.
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Research

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 serve as PC member for HCI-KDD expert board, EurasiaGraphics and MIUA conferences. I am an active reviewer for IEEE VIS, EuroVis, IEEE TVCG, IEEE TBCC, CGI and several other journals and conferences. Currently, I am involved in the EU FP7 project VALCRI and FareVis (TSB) project. Back to Top

Teaching

I am leading the Principles of Data Science module within our MSc. in Data Science. I am also eading the INM343 Databases postgraduate module. In addition, I act as the Teaching Support Coordinator for Department of Computer Science. Back to Top

Publications

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

2016

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
[pdf]
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
[pdf]

2015

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

2014

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

2013

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

2012

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

2011

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