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  1. Dr Cagatay Turkay
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Contact Information

Contact

Visit Cagatay

A304C, College Building

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Postal Address

City University London
Northampton Square
London
EC1V 0HB
UK

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.
  • Journal Article (17)

    1. Beecham, R., Dykes, J., Meulemans, W., Slingsby, A., Turkay, C. and Wood, J. (Jan 2017). Map LineUps: Effects of spatial structure on graphical inference.. IEEE Trans Vis Comput Graph, 23(1), 391-400. doi: 10.1109/TVCG.2016.2598862
    2. Meulemans, W., Dykes, J., Slingsby, A., Turkay, C. and Wood, J. (Jan 2017). Small Multiples with Gaps.. IEEE Trans Vis Comput Graph, 23(1), 381-390. doi: 10.1109/TVCG.2016.2598542
    3. Turkay, C., Kaya, E., Balcisoy, S. and Hauser, H. (05 Aug 2016). Designing Progressive and Interactive Analytics Processes for High-Dimensional Data Analysis.. IEEE transactions on visualization and computer graphics. doi: 10.1109/TVCG.2016.2598470
    4. Goodwin, S., Dykes, J., Slingsby, A. and Turkay, C. (31 Jan 2016). Visualizing Multiple Variables Across Scale and Geography. IEEE Transactions on Visualization and Computer Graphics, 22(1), 599-608. doi: 10.1109/TVCG.2015.2467199
    5. Beecham, R., Rooney, C., Meier, S., Dykes, J., Slingsby, A., Turkay, C., Wood, J. and Wong, B.L.W. (01 Jun 2016). Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi-perspective small multiples. Computer Graphics Forum, 35(3), 241-249. doi: 10.1111/cgf.12900
    6. Angelelli, P., Oeltze, S., Haasz, J., Turkay, C., Hodneland, E., Lundervold, A., Lundervold, A.J., Preim, B. and Hauser, H. (01 Sep 2014). Interactive visual analysis of heterogeneous cohort-study data. IEEE Computer Graphics and Applications, 34(5), 70-82. doi: 10.1109/MCG.2014.40
    7. 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
    8. Birkeland, A., Turkay, C. and Viola, I. (01 Nov 2014). Perceptually uniform motion space. IEEE Transactions on Visualization and Computer Graphics, 20(11), 1542-1554. doi: 10.1109/TVCG.2014.2322363
    9. Turkay, C., Slingsby, A., Hauser, H., Wood, J. and Dykes, J. (31 Dec 2014). Attribute signatures: Dynamic visual summaries for analyzing multivariate geographical data. IEEE Transactions on Visualization and Computer Graphics, 20(12), 2033-2042. doi: 10.1109/TVCG.2014.2346265
    10. 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
    11. 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.
    12. Turkay, C., Koc, E. and Balcisoy, S. (01 Jan 2012). An information theoretical approach to crowd simulation. Communications in Computer and Information Science, 242, 236-261. doi: 10.1007/978-3-642-29758-8_13
    13. 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.
    14. Turkay, C., Parulek, J., Reuter, N. and Hauser, H. (2011). Interactive visual analysis of temporal cluster structures. Computer Graphics Forum, 30(3), 711-720.
    15. Turkay, C., Koc, E. and Balcisoy, S. (2011). Integrating information theory in agent-based crowd simulation behavior models. Computer Journal, 54(11), 1810-1820.
    16. 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), 2591-2599.
    17. Turkay, C., Koc, E. and Balcisoy, S. (2009). An information theoretic approach to camera control for crowded scenes. Visual Computer, 25(5-7), 451-459. doi: 10.1007/s00371-009-0337-1

    Chapter (2)

    1. Turkay, C., Jeanquartier, F., Holzinger, A. and Hauser, H. (01 Jan 2014). On computationally-enhanced visual analysis of heterogeneous data and its application in biomedical informatics. (Ed.), (pp. 117-140)
    2. Turkay, C., Koc, E. and Balcisoy, S. (2012). An information theoretical approach to crowd simulation. (Ed.), (pp. 236-261) doi: 10.1007/978-3-642-29758-8_13

    Conference (13)

    1. Turkay, C., Slingsby, A., Lahtinen, K., Butt, S. and Dykes, J. (01 Jan 2016). Enhancing a social science model-building workow with interactive visualisation. ,
    2. (2015). Computer Graphics and Visual Computing, CGVC 2015, London, United Kingdom, September 16-17, 2015.. ,
    3. 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 Sep 2014, Vienna, Austria.
    4. Turkay, C., Mason, S., Gashi, I. and Cukic, B. (01 Jan 2014). Supporting decision-making for biometric system deployment through visual analysis. , doi: 10.1109/ISSREW.2014.78
    5. 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, 09 Nov 2014, Paris, France.
    6. Turkay, C., Lundervold, A., Lundervold, A.J. and Hauser, H. (2013). Hypothesis generation by interactive visual exploration of heterogeneous medical data. ,
    7. Parulek, J., Turkay, C., Reuter, N. and Viola, I. (2012). Implicit surfaces for interactive graph based cavity analysis of molecular simulations. ,
    8. Turkay, C., Parulek, J. and Hauser, H. (2012). Dual analysis of DNA microarrays. ,
    9. 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, ,
    10. Turkay, C., Koc, E. and Balcisoy, S. (2010). An information theory based behavioral model for agent-based crowd simulations. , doi: 10.1007/978-90-481-9794-1_70
    11. Cayci, A., Sumengen, S., Turkay, C., Balcisoy, S. and Saygin, Y. (2009). Temporal dynamics of user interests in web search queries. ,
    12. Turkay, C. Visualizing Time Series Predictability. IEEE VIS 2014 Workshop on Visualization for Predictive Analytics, 08 Nov 2014, Paris, France.
    13. Turkay, C. and Hauser, H. Optimizing Processes in Visual Data Analysis through Progressive Computations. UCL Workshop on the Theory of Big Data, 07 Jan 2015,

    Education

    2014/2015:

    INM343 -- Databases

    Other Activities

    Keynote Lectures/Speeches (3)

    • Hypothesis Generation Through Interactive Visual Data Analysis, 07 May 2013, Department of Psychology, Harvard University, Cambridge, USA.
    • Seamless Computations for Interactive Data Analysis, 16 May 2014, Vienna, Austria. Invited talk at the Department of Computing, Tu Wien
    • Interactive Visual Data Analysis in the Times of Big Data, 14 Oct 2014, Ankara, Turkey.

    Editorial Activities (8)

    • Computer Graphics & Visual Computing (CGVC) 2016 - Paper Chair
    • Computer Graphics & Visual Computing (CGVC) 2015 - Paper Chair
    • BioVis 2016 - Organising Committee (Data Contest Chair)
    • VISUALS 2014 - Program Committee Member
    • BioVis 2015 - Organizing Committee Member
    • HCI-KDD expert board member
    • Medical Image Understanding and Analysis (MIUA) Programme Comittee
    • EurasiaGraphics Programme Committee

    Find us

    City, University of London

    Northampton Square

    London EC1V 0HB

    United Kingdom

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