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  1. Cagatay Turkay
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Contact Information

Contact

Visit Cagatay Turkay

A401b, College Building

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Postal Address

City, University of London
Northampton Square
London
EC1V 0HB
United Kingdom

About

Background

Cagatay Turkay is a Lecturer in Applied Data Science at the giCentre. His research mainly focuses on the tight integration of interactive visualizations, data analysis techniques and supporting exploratory knowledge and capabilities of experts. He has a special interest in high-dimensional, temporal data from bioinformatics and the biomolecular modelling domain.

He has a background in computer science, visualization and computer graphics. He has a PhD in visualization (University of Bergen), MSc. (Sabanci Uni., Istanbul), and BSc. (METU, Ankara) in Computer Science. He has also served as a visiting research fellow at Harvard University in 2013.

Qualifications

PhD Visualization, University of Bergen, Norway, 2013
MSc Computer Science, Sabanci University, Turkey, 2009
BSc Computer Engineering, Middle East Technical University, Turkey, 2006

Employment

12/2013 - present: City University London, Lecturer
01/2010 - 12/2013: University of Bergen, Research Fellow

Publications

  • Turkay, C., Lex, A., Streit, M., Pfister, H. and Hauser, H. (01 Jan 2014). Characterizing cancer subtypes using dual analysis in Caleydo StratomeX. IEEE Computer Graphics and Applications, 34(2), 38-47. doi: 10.1109/MCG.2014.1
  • Parulek, J., Turkay, C., Reuter, N. and Viola, I. (12 Nov 2013). Visual cavity analysis in molecular simulations. BMC Bioinformatics, 14(Suppl 19). doi: 10.1186/1471-2105-14-S19-S4
  • Šoltészová, V., Turkay, C., Price, M.C. and Viola, I. (2012). A perceptual-statistics shading model. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2265-2274.
  • Turkay, C., Lundervold, A., Lundervold, A.J. and Hauser, H. (2012). Representative factor generation for the interactive visual analysis of high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2621-2630.
  • Chapters (2)

    1. Turkay, C., Jeanquartier, F., Holzinger, A. and Hauser, H. (2014). On computationally-enhanced visual analysis of heterogeneous data and its application in biomedical informatics. (pp. 117–140).
    2. Turkay, C., Koc, E. and Balcisoy, S. (2012). An information theoretical approach to crowd simulation. (pp. 236–261).

    Conference Papers and Proceedings (15)

    1. Nguyen, P., Turkay, , Andrienko, , Andrienko, and Thonnard, (2017). A Visual Analytics Approach for User Behaviour Understanding through Action Sequence Analysis. International EuroVis Workshop on Visual Analytics 12-16 June, Barcelona.
    2. Sathiyanarayanan, M. and Turkay, C. (2016). Is Multi-perspective Visualisation recommended for E-discovery Email Investigations? IEEE VIS 2016 Workshop - Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization 23 October, Baltimore, Maryland, US.
    3. Turkay, C., Slingsby, A., Lahtinen, K., Butt, S. and Dykes, J. (2016). Enhancing a social science model-building workow with interactive visualisation. .
    4. Turkay, C. and Hauser, H. (2015). Optimizing Processes in Visual Data Analysis through Progressive Computations. UCL Workshop on the Theory of Big Data 7-9 January.
    5. (2015). Computer Graphics and Visual Computing, CGVC 2015, London, United Kingdom, September 16-17, 2015. .
    6. Beecham, R., Dykes, J., Turkay, C., Slingsby, A. and Wood, J.D. (2014). Map Line Ups: Using Graphical Inference to Study Spatial Structure. IEEE VIS 2014 9-14 November, Paris, France.
    7. Turkay, C. (2014). Visualizing Time Series Predictability. IEEE VIS 2014 Workshop on Visualization for Predictive Analytics 8-14 November, Paris, France.
    8. Turkay, C., Slingsby, A., Hauser, H., Wood, J. and Dykes, J. (2014). Interactive Generation of Visual Summaries for Multivariate Geographical Data Analysis. Workshop on GeoVisual Analytics: Interactivity, Dynamics, and Scale at the Eighth International Conference on Geographic Information Science (GIScience 2014) 23-26 September, Vienna, Austria.
    9. Turkay, C., Mason, S., Gashi, I. and Cukic, B. (2014). Supporting decision-making for biometric system deployment through visual analysis. .
    10. Turkay, C., Lundervold, A., Lundervold, A.J. and Hauser, H. (2013). Hypothesis generation by interactive visual exploration of heterogeneous medical data. .
    11. Turkay, C., Parulek, J. and Hauser, H. (2012). Dual analysis of DNA microarrays. .
    12. Parulek, J., Turkay, C., Reuter, N. and Viola, I. (2012). Implicit surfaces for interactive graph based cavity analysis of molecular simulations. .
    13. Turkay, C., Parulek, J., Reuter, N. and Hauser, H. (2011). Integrating cluster formation and cluster evaluation in interactive visual analysis. 27th Spring Conference on Computer Graphics .
    14. Turkay, C., Koc, E. and Balcisoy, S. (2010). An information theory based behavioral model for agent-based crowd simulations. .
    15. Cayci, A., Sumengen, S., Turkay, C., Balcisoy, S. and Saygin, Y. (2009). Temporal dynamics of user interests in web search queries. .

    Journal Articles (20)

    1. Endert, A., Ribarsky, W., Turkay, C., Wong, B.L.W., Nabney, I., Blanco, I.D. and Rossi, F. (2017). The State of the Art in Integrating Machine Learning into Visual Analytics. Computer Graphics Forum . doi:10.1111/cgf.13092.
    2. Meulemans, W., Dykes, J., Slingsby, A., Turkay, C. and Wood, J. (2017). Small Multiples with Gaps. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 381–390. doi:10.1109/TVCG.2016.2598542.
    3. Beecham, R., Dykes, J., Meulemans, W., Slingsby, A., Turkay, C. and Wood, J. (2017). Map LineUps: Effects of spatial structure on graphical inference. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 391–400. doi:10.1109/TVCG.2016.2598862.
    4. Turkay, C., Kaya, E., Balcisoy, S. and Hauser, H. (2017). Designing Progressive and Interactive Analytics Processes for High-Dimensional Data Analysis. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 131–140. doi:10.1109/TVCG.2016.2598470.
    5. Turkay, C., Slingsby, A., Lahtinen, K., Butt, S. and Dykes, J. (2016). Supporting theoretically-grounded model building in the social sciences through interactive visualisation. Neurocomputing . doi:10.1016/j.neucom.2016.11.087.
    6. Beecham, R., Rooney, C., Meier, S., Dykes, J., Slingsby, A., Turkay, C., Wood, J. and Wong, B.L.W. (2016). Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi-perspective small multiples. Computer Graphics Forum, 35(3), pp. 241–249. doi:10.1111/cgf.12900.
    7. Goodwin, S., Dykes, J., Slingsby, A. and Turkay, C. (2016). Visualizing Multiple Variables Across Scale and Geography. IEEE Transactions on Visualization and Computer Graphics, 22(1), pp. 599–608. doi:10.1109/TVCG.2015.2467199.
    8. Turkay, C., Slingsby, A., Hauser, H., Wood, J. and Dykes, J. (2014). Attribute signatures: Dynamic visual summaries for analyzing multivariate geographical data. IEEE Transactions on Visualization and Computer Graphics, 20(12), pp. 2033–2042. doi:10.1109/TVCG.2014.2346265.
    9. Birkeland, A., Turkay, C. and Viola, I. (2014). Perceptually uniform motion space. IEEE Transactions on Visualization and Computer Graphics, 20(11), pp. 1542–1554. doi:10.1109/TVCG.2014.2322363.
    10. Angelelli, P., Oeltze, S., Haasz, J., Turkay, C., Hodneland, E., Lundervold, A., Lundervold, A.J., Preim, B. and Hauser, H. (2014). Interactive visual analysis of heterogeneous cohort-study data. IEEE Computer Graphics and Applications, 34(5), pp. 70–82. doi:10.1109/MCG.2014.40.
    11. Turkay, C., Lex, A., Streit, M., Pfister, H. and Hauser, H. (2014). Characterizing cancer subtypes using dual analysis in Caleydo StratomeX. IEEE Computer Graphics and Applications, 34(2), pp. 38–47. doi:10.1109/MCG.2014.1.
    12. Angelelli, P., Oeltze, S., Haasz, J., Turkay, C., Hodneland, E., Lundervold, A., Lundervold, A.J., Preim, B. and Hauser, H. (2014). Interactive Visual Analysis of Heterogeneous Cohort-Study Data. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 34(5), pp. 70–82.
    13. Parulek, J., Turkay, C., Reuter, N. and Viola, I. (2013). Visual cavity analysis in molecular simulations. BMC Bioinformatics, 14 Suppl 19, p. S4. doi:10.1186/1471-2105-14-S19-S4.
    14. Turkay, C., Koc, E. and Balcisoy, S. (2012). An information theoretical approach to crowd simulation. Communications in Computer and Information Science, 242, pp. 236–261. doi:10.1007/978-3-642-29758-8_13.
    15. Šoltészová, V., Turkay, C., Price, M.C. and Viola, I. (2012). A perceptual-statistics shading model. IEEE Transactions on Visualization and Computer Graphics, 18(12), pp. 2265–2274.
    16. Turkay, C., Lundervold, A., Lundervold, A.J. and Hauser, H. (2012). Representative factor generation for the interactive visual analysis of high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, 18(12), pp. 2621–2630.
    17. Turkay, C., Koc, E. and Balcisoy, S. (2011). Integrating information theory in agent-based crowd simulation behavior models. Computer Journal, 54(11), pp. 1810–1820.
    18. Turkay, C., Filzmoser, P. and Hauser, H. (2011). Brushing dimensions-A dual visual analysis model for high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, 17(12), pp. 2591–2599.
    19. Turkay, C., Parulek, J., Reuter, N. and Hauser, H. (2011). Interactive visual analysis of temporal cluster structures. Computer Graphics Forum, 30(3), pp. 711–720.
    20. Turkay, C., Koc, E. and Balcisoy, S. (2009). An information theoretic approach to camera control for crowded scenes. Visual Computer, 25(5-7), pp. 451–459. doi:10.1007/s00371-009-0337-1.

    Posters (3)

    1. Sathiyanarayanan, M. and Turkay, C. Determining and Visualising E-mail Subsets to Support E-discovery. IEEE VIS, InfoVis Conference, 2016.
    2. Beecham, R., Dykes, J.A., Slingsby, A. and Turkay, C. Supporting crime analysis through visual design. , 2015.
    3. Dykes, J.A., Rooney, C., Beecham, R., Turkay, C., Slingsby, A., Wood, J. and Wong, W. Multi-Perspective Synopsis with Faceted Views of Varying Emphasis. , 2015.

    Education

    2014/2015:

    INM343 -- Databases

    Other Activities

    Editorial Activities (8)

    1. Computer Graphics & Visual Computing (CGVC) 2016 - Paper Chair.
    2. Computer Graphics & Visual Computing (CGVC) 2015 - Paper Chair.
    3. BioVis 2016 - Organising Committee (Data Contest Chair).
    4. VISUALS 2014 - Program Committee Member.
    5. BioVis 2015 - Organizing Committee Member.
    6. HCI-KDD expert board member.
    7. Medical Image Understanding and Analysis (MIUA) Programme Comittee.
    8. EurasiaGraphics Programme Committee.

    Keynote Lectures/Speeches (3)

    1. Interactive Visual Data Analysis in the Times of Big Data. Ankara, Turkey (2014).
    2. Seamless Computations for Interactive Data Analysis. Vienna, Austria (2014). Invited talk at the Department of Computing, Tu Wien
    3. Hypothesis Generation Through Interactive Visual Data Analysis. Department of Psychology, Harvard University, Cambridge, USA (2013).

    Find us

    City, University of London

    Northampton Square

    London EC1V 0HB

    United Kingdom

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