Search

Dr Radu Jianu

Lecturer in Computer Science

School of Mathematics, Computer Science and Engineering Department of Computer Science

Contact details

Address

Dr Radu Jianu A401E, College Building
City, University of London
Northampton Square
London EC1V 0HB
United Kingdom

About

Overview

Radu Jianu is a Lecturer in Visualization and Visual Analytics at the City's giCentre where he seeks to understand how people make sense of and learn from digital visual content. To this end he uses and creates novel methodologies that build on eye-tracking and user-centered experimentation, and works with researchers in other domains to discover how to facilitate novel insights into visual information consumption in practice.

Radu received a PhD in computer science, with an emphasis on data visualization, from Brown University, USA. Before joining the giCentre, Radu was an assistant professor at Florida International University. Radu publishes regularly in high-impact visualization venues such as InfoVis and Vast, Eurovis, and TVCG.

Qualifications

  1. PhD in Computer Science, Brown University, USA, 2012
  2. MSc in Computer Science, Brown University, United States, 2007
  3. Diploma in Engineering, Polytechnic University of Timisoara, Romania, 2005

Employment

  1. Lecturer, City, University of London, 2016 – present
  2. Assistant Professor, Florida International University, Aug 2012 – Jun 2016

Languages

English (can read, write, speak, understand spoken and peer review), German (can read, write, speak and understand spoken) and Romanian; Moldavian; Moldovan (can read, write, speak, understand spoken and peer review).

Teaching

Programming in Java (IN1007)
Cognition and Technologies (INM314)

In the past I've taught courses on Human Computer Interaction, Principles of Programming Languages, and Data Visualization

Research

My research is focused on Visualisation, Visual Analytics, and Human Computer Interaction. Broadly, I'm interested in understanding how people explore, think with, and learn from digital visual content and data, and in creating novel methods that can support such activities. I investigate novel approaches that build on eye-tracking and user-study experimentation, and work with researchers in domains such as construction, architecture, and biology to discover how to facilitate novel insights into visual information consumption in practice. At the same time, I explore the interactive use of eye-tracking to create adaptive, gaze-contingent visualisations, and support the guided exploration of large data spaces.

Publications

Publications by category

Chapter

  1. Borgo, R., Lee, B., Bach, B., Fabrikant, S., Jianu, R., Kerren, A. … Zhou, M. (2017). Crowdsourcing for information visualization: Promises and pitfalls. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 96–138).

Conference papers and proceedings (20)

  1. Silva, N., Blascheck, T., Jianu, R., Rodriguez, N., Raubal, M., Schreck, T. … Weiskopf, D. (2019). Eye Tracking Support for Visual Analytics Systems. 2019 ACM Symposium On Eye Tracking Research & Applications (ETRA 2019), 25-28 June, Denver, USA.
  2. Katner, K. and Jianu, R. (2019). The effectiveness of nudging in commercial settings and impact on user trust.
  3. Silva, N., Blascheck, T., Jianu, R., Rodrigues, N., Weiskopf, D., Raubal, M. … Schreck, T. (2019). Eye tracking support for visual analytics systems foundations, current applications, and research challenges.
  4. Okoe, M., Jianu, R. and Kobourov, S. (2018). Revisited experimental comparison of node-link and matrix representations.
  5. Okoe, M., Jianu, R. and Kobourov, S.G. (2017). Revisited Experimental Comparison of Node-Link and Matrix Representations.
  6. Pinheiro, R.B.O., Pradhananga, N., Jianu, R. and Orabi, W. (2016). Eye-tracking technology for construction safety: A feasibility study.
  7. Rusu, A. and Jianu, R. (2013). Combining scientific and information visualization artifacts for complex system diagnosis.
  8. Jianu, R. and Laidlaw, D.H. (2012). An evaluation of how small user interface changes can improve scientists' analytic strategies.
  9. Demiralp, Ç., Jianu, R. and Laidlaw, D.H. (2012). Exploring brain connectivity with two-dimensional maps.
  10. Rusu, A., Fabian, A.J., Jianu, R. and Rusu, A. (2011). Using the gestalt principle of closure to alleviate the edge crossing problem in graph drawings.
  11. Gomez, S.R., Jianu, R. and Laidlaw, D.H. (2010). A fiducial-based tangible user interface for white matter tractography.
  12. Jianu, R. and Laidlaw, D.H. (2010). Visualizing gene co-expression as google maps.
  13. Jianu, R., Rusu, A., Fabian, A.J. and Laidlaw, D.H. (2009). A coloring solution to the edge crossing problem.
  14. Kostandov, M., Schwertfeger, J., Jenkins, O.C., Jianu, R., Buller, M.J., Hartmann, D. … Fiala, M. (2007). Robot gaming and learning using augmented reality.
  15. Rusu, A., Santiago, C. and Jianu, R. (2007). Real-time interactive visualization of information hierarchies.
  16. Kostandov, M., Jianu, R., Zhou, W. and Moscovich, T. (2006). Interactive layered character animation in immersive virtual environments.
  17. Rusu, A., Clement, C. and Jianu, R. (2006). Adaptive binary trees visualization with respect to user-specified quality measures.
  18. Rusu, A., Jianu, R., Santiago, C. and Clement, C. (2006). An experimental study on algorithms for drawing binary trees.
  19. Anand, V., Hansen, K., Jianu, R. and Rusu, A. (2004). Area-efficient visualization of Web data.
  20. Brown, V., Turkay, C. and Jianu, R. Dissecting Visual Analytics: Comparing Frameworks for Interpreting and Modelling Observed Visual Analytics Behavior. Eurovis 2020.

Journal articles (26)

  1. Aguilar, S.V., Aguilar, O., Allan, R., Amir, E.A.D., Angeli, V., Artyomov, M.N. … Kenigsberg, E. (2020). ImmGen at 15. Nature Immunology, 21(7), pp. 700–703. doi:10.1038/s41590-020-0687-4.
  2. Okoe, M., Jianu, R. and Kobourov, S. (2019). Node-link or adjacency matrices: Old question, New Insights. IEEE Transactions on Visualization and Computer Graphics, 25(10), pp. 2940–2952. doi:10.1109/TVCG.2018.2865940.
  3. Kanai, J.M., Grant, R. and Jianu, R. (2018). Cities on and off the map: A bibliometric assessment of urban globalisation research. Urban Studies, 55(12), pp. 2569–2585. doi:10.1177/0042098017720385.
  4. Kanai, J.M., Grant, R. and Jianu, R. (2018). Cities on and off the map: A bibliometric assessment of urban globalisation research. Urban Studies, 55(12), pp. 2569–2585. doi:10.1177/0042098017720385.
  5. Jianu, R. and Alam, S.S. (2018). A Data Model and Task Space for Data of Interest (DOI) Eye-Tracking Analyses. IEEE Transactions on Visualization and Computer Graphics, 24(3), pp. 1232–1245. doi:10.1109/TVCG.2017.2665498.
  6. Alam, S.S. and Jianu, R. (2017). Analyzing Eye-Tracking Information in Visualization and Data Space: From Where on the Screen to What on the Screen. IEEE Transactions on Visualization and Computer Graphics, 23(5), pp. 1492–1505. doi:10.1109/TVCG.2016.2535340.
  7. Laird, A.R., Riedel, M.C., Okoe, M., Jianu, R., Ray, K.L., Eickhoff, S.B. … Sutherland, M.T. (2017). Heterogeneous fractionation profiles of meta-analytic coactivation networks. NeuroImage, 149, pp. 424–435. doi:10.1016/j.neuroimage.2016.12.037.
  8. Gomez, S.R., Jianu, R., Cabeen, R., Guo, H. and Laidlaw, D.H. (2017). Fauxvea: Crowdsourcing Gaze Location Estimates for Visualization Analysis Tasks. IEEE Transactions on Visualization and Computer Graphics, 23(2), pp. 1042–1055. doi:10.1109/TVCG.2016.2532331.
  9. Okoe, M. and Jianu, R. (2015). GraphUnit: Evaluating Interactive Graph Visualizations Using Crowdsourcing. Computer Graphics Forum, 34(3), pp. 451–460. doi:10.1111/cgf.12657.
  10. Jianu, R., Rusu, A., Hu, Y. and Taggart, D. (2014). How to display group information on node-link diagrams: An evaluation. IEEE Transactions on Visualization and Computer Graphics, 20(11), pp. 1530–1541. doi:10.1109/TVCG.2014.2315995.
  11. Benoist, C., Lanier, L., Merad, M., Mathis, D., Ericson, J., Painter, M. … Wagers, A. (2014). Erratum: Consortium biology in immunology: The perspective from the Immunological Genome Project. Nature Reviews Immunology, 14(8), p. 578. doi:10.1038/nri3714.
  12. Okoe, M., Alam, S.S. and Jianu, R. (2014). A gaze-enabled graph visualization to improve graph reading tasks. Computer Graphics Forum, 33(3), pp. 251–260. doi:10.1111/cgf.12381.
  13. Jianu, R. and Laidlaw, D.H. (2013). What google maps can do for biomedical data dissemination: Examples and a design study. BMC Research Notes, 6(1). doi:10.1186/1756-0500-6-179.
  14. Best, J.A., Blair, D.A., Knell, J., Yang, E., Mayya, V., Doedens, A. … Benoist, C. (2013). Transcriptional insights into the CD8 + T cell response to infection and memory T cell formation. Nature Immunology, 14(4), pp. 404–412. doi:10.1038/ni.2536.
  15. Cohen, N.R., Brennan, P.J., Shay, T., Watts, G.F., Brigl, M., Kang, J. … Benoist, C. (2013). Shared and distinct transcriptional programs underlie the hybrid nature of iNKT cells. Nature Immunology, 14(1), pp. 90–99. doi:10.1038/ni.2490.
  16. Gautiar, E.L., Shay, T., Miller, J., Greter, M., Jakubzick, C., Ivanov, S. … Benoist, C. (2012). Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages. Nature Immunology, 13(11), pp. 1118–1128. doi:10.1038/ni.2419.
  17. Gomez, S.R., Jianu, R., Ziemkiewicz, C., Guo, H. and Laidlaw, D. (2012). Different strokes for different folks: Visual presentation design between disciplines. IEEE Transactions on Visualization and Computer Graphics, 18(12), pp. 2411–2420. doi:10.1109/TVCG.2012.214.
  18. Benoist, C., Lanier, L., Merad, M., Mathis, D., Ericson, J., Painter, M. … Wagers, A. (2012). Consortium biology in immunology: The perspective from the Immunological Genome Project. Nature Reviews Immunology, 12(10), pp. 734–740. doi:10.1038/nri3300.
  19. Miller, J.C., Brown, B.D., Shay, T., Gautier, E.L., Jojic, V., Cohain, A. … Benoist, C. (2012). Deciphering the transcriptional network of the dendritic cell lineage. Nature Immunology, 13(9), pp. 888–899. doi:10.1038/ni.2370.
  20. Narayan, K., Sylvia, K.E., Malhotra, N., Yin, C.C., Martens, G., Vallerskog, T. … Benoist, C. (2012). Intrathymic programming of effector fates in three molecularly distinct γδ T cell subtypes. Nature Immunology, 13(5), pp. 511–518. doi:10.1038/ni.2247.
  21. Jianu, R., Demiralp, C. and Laidlaw, D.H. (2012). Exploring brain connectivity with two-dimensional neural maps. IEEE Transactions on Visualization and Computer Graphics, 18(6), pp. 978–987. doi:10.1109/TVCG.2011.82.
  22. Painter, M.W., Davis, S., Hardy, R.R., Mathis, D., Benoist, C., Zhou, Y. … Regev, A. (2011). Transcriptomes of the B and T Lineages Compared by Multiplatform Microarray Profiling. Journal of Immunology, 186(5), pp. 3047–3057. doi:10.4049/jimmunol.1002695.
  23. Jianu, R., Yu, K., Cao, L., Nguyen, V., Salomon, A.R. and Laidlaw, D.H. (2010). Visual integration of quantitative proteomic data, pathways, and protein interactions. IEEE Transactions on Visualization and Computer Graphics, 16(4), pp. 609–620. doi:10.1109/TVCG.2009.106.
  24. Nguyen, V., Cao, L., Lin, J.T., Hung, N., Ritz, A., Yu, K. … Salomon, A.R. (2009). A new approach for quantitative phosphoproteomic dissection of signaling pathways applied to T cell receptor activation. Molecular and Cellular Proteomics, 8(11), pp. 2418–2431. doi:10.1074/mcp.M800307-MCP200.
  25. Jianu, R., Demiralp, C. and Laidlaw, D.H. (2009). Exploring 3D DTI fiber tracts with linked 2D representations. IEEE Transactions on Visualization and Computer Graphics, 15(6), pp. 1449–1456. doi:10.1109/TVCG.2009.141.
  26. Heng, T.S.P., Painter, M.W., Elpek, K., Lukacs-Kornek, V., Mauermann, N., Turley, S.J. … Kang, J. (2008). The immunological genome project: Networks of gene expression in immune cells. Nature Immunology, 9(10), pp. 1091–1094. doi:10.1038/ni1008-1091.