Education Profile

  • Ph.D., Computer Science, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2013
  • M.Sc., Computer Science, University of Koblenz and Landau, Germany, 2008

Thomas Hollt was a Postdoctoral Research Fellow at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Currently, he’s an Assistant Professor at Computational Biology Center in Leiden University Medical Center, The Netherlands.

Education and Early Career

Thomas joined KAUST as a Ph.D. student in Computer Science under the supervision of Professor Markus Hadwiger. After he graduated in 2013, he worked as a Postdoctoral Research Fellow in Visual Computing Center. Later on, he joined the Earth Fluid Modeling and Prediction Group at KAUST as a Research Consultant for Visualization.

Research Interest

His main research is in the visual analysis of high dimensional data with a strong focus on the Cytosplore project. Cytosplore is a framework for visual analysis of single cell data acquired using Mass Cytometry. The data consists of high dimensional expression data for single cells taken through blood- or tissue samples.

Previously, he worked on visualization of ensemble data and uncertainty, mostly for ocean forecasts, but also in other geological and geophysical applications. He developed Ovis, a framework for visual analysis of ocean forecasts.

Selected Publications

Höllt, T., Altaf, M. U., Mandli, K. T., Hadwiger, M., Dawson, C. N., & Hoteit, I. (2015). Visualizing uncertainties in a storm surge ensemble data assimilation and forecasting system. Natural Hazards, 77(1), 317–336. doi:10.1007/s11069-015-1596-y
Hollt, T., Magdy, A., Zhan, P., Chen, G., Gopalakrishnan, G., Hoteit, I., … Hadwiger, M. (2014). Ovis: A Framework for Visual Analysisof Ocean Forecast Ensembles. IEEE Transactions on Visualization and Computer Graphics, 20(8), 1114–1126. doi:10.1109/tvcg.2014.2307892
Zhan, P., Yao, F., Gopalakrishnan, G., Viswanadhapalli, Y., Triantafyllou, G., Langoda, S., Cavaleri, L., Zarokanellos, N., Hollt, T., Hadwiger, M., Guo, D., Jones, B., Hoteit, I. (2014). The Red Sea Forecasting System, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014). https://hdl.handle.net/10754/623964
Hollt, T. (2013). Visual Workflows for Oil and Gas Exploration, (Dissertation). https://hdl.handle.net/10754/287324
Hollt, T., Magdy, A., Chen, G., Gopalakrishnan, G., Hoteit, I., Hansen, C. D., & Hadwiger, M. (2013). Visual analysis of uncertainties in ocean forecasts for planning and operation of off-shore structures. 2013 IEEE Pacific Visualization Symposium (PacificVis). doi:10.1109/pacificvis.2013.6596144
Hollt, T., Freiler, W., Gschwantner, F., Doleisch, H., Heinemann, G., & Hadwiger, M. (2012). SeiVis: An Interactive Visual Subsurface Modeling Application. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2226–2235. doi:10.1109/tvcg.2012.259
Hollt, T., Beyer, J., Gschwantner, F., Muigg, P., Doleisch, H., Heinemann, G., & Hadwiger, M. (2011). Interactive seismic interpretation with piecewise global energy minimization. 2011 IEEE Pacific Visualization Symposium. doi:10.1109/pacificvis.2011.5742373