Nicola Pezzotti

PhD Student in Visual Analytics

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About me

I’m a PhD student in the Computer Graphics & Visualization group at the Delft University of Technology. I’m supervised by Prof. Anna Vilanova, my Promotor (doctoral advisor) is Prof. Elmar Eisemann and Prof. Boudewijn P.F. Lelieveldt is my co-promotor. My research interest is mainly oriented towards the application of Machine Learning algorithms, in particular Manifold Learning and Deep Learning, in a Visual Analytics context. I’m also interest in 3D Scanning Technologies and Computational Geometry.

I’m familiar with different programming languages and technologies. I generally work in C++/CUDA for performance reasons, however I’m also familiar with OpenGL, Python, JavaScript and Matlab. I strongly believe that high-quality code is of main importance also in academia.


A detailed list of my publications can be found at this page

  • N. Pezzotti, T. Höllt, B.P.F. Lelieveldt, E. Eisemann, A. Vilanova. Hierarchical Stochastic Neighbor Embedding. Computer Graphics Forum (Proc. of EuroVis), 2016. PDF, Suppl. Mat., Video, Slides
  • T. Höllt, N. Pezzotti, V. van Unen, F. Koning, E. Eisemann, B.P.F. Lelieveldt, A. Vilanova. Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets. Computer Graphics Forum (Proc. of EuroVis), 2016. PDF
  • N. Pezzotti, B.P.F. Lelieveldt, L. van der Maaten, T. Höllt, E. Eisemann, and A. Vilanova. Approximated and User Steerable tSNE for Progressive Visual Analytics. Transaction on Visualization and Computer Graphics (Presented at IEEE VIS 2016), 2016. PDF, Suppl. Mat., Video I, Video II, Video III
  • R. Georgia Raidou, H. J. Kuijf, N. Sepasian, N. Pezzotti, W. H Bouvy, M. Breeuwer, A. Vilanova. Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. Medical Image Computing and Computer Assisted Intervention (MICCAI 2016), 2016. PDF
  • M. Centin, N. Pezzotti, A. Signoroni. Poisson-driven seamless completion of triangular meshes. Computer Aided Geometric Design, 2015. PDF, Slides, Bibtex
  • F. Bonarrigo, N. Pezzotti, A. Signoroni. On-the-fly automatic alignment and global registration of free-path collected 3D scans. 2013 Digital Heritage International Congress, 2013. PDF
  • N. Pezzotti, F. Bonarrigo, A. Signoroni. Boosting the Computational Performance of Feature-Based Multiple 3D Scan Alignment by iat-k-means Clustering. 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012. PDF

Blog Posts

For a full list of blog posts, visit the Archive

I moved the blog from blogger the 5th of October 2015. Old posts can contain layout problems.