A PDF version of this resume.

Resume of Petr Šereda

Experience

Barco
- Developed an application that can control computer monitors via serial port.
- Technologies used: C++, QT, Linux
Nobel Biocare / Medicim
- Designed, implemented and integrated a cross-platform volume rendering engine to be used for the planning of dental reconstruction.
- Cooperated with the local team in removing various visualization bottlenecks.
- Achieved a fast, high quality visualization that supports advanced features, such as blending with opaque and transparent scene geometry, clipping, segmented data, picking, silhouettes, adaptive quality, smoothing and high quality filtering.
- Technologies used: C++, OpenGL, GLSL, Coin3D, QT, Win7, OS X, SVN, Mercurial

ASML
- Investigated, implemented and tested new software functionality for the next generation of lithography machines.
- Successfully finished a number of challenging projects.
- Quickly adapted to the specialized and complex environment, managed large software.
- Technologies used: C, Solaris, WinXP, scripting, ClearCase, ClearQuest
Shell
- Optimized a SW library that stores/retrieves large 3D seismic data using R-trees. Discovered and removed an algorithmic bottleneck, which resulted in a speed-up of approx. 40x.

Conducted research in the field of 3D volume visualization, focused on facilitating the definition of transfer functions.
- Invented a novel transfer function domain that enables an easier and better visualization of boundaries between materials (objects in the image) than can be offered by currently used methods.
- Showed that an advanced image analysis and the application of various clustering techniques can facilitate user interaction.
- Developed a new framework that allows the modification of transfer function for different locations in the image.
- Quickly adapted to the specialized and complex environment, managed large software.
- Wrote research papers and reviewed submissions to various journals and conferences.
Supervised students (individuals and groups) working on various visualization projects, taught Java programming courses.
Technologies used: C++, VTK, OpenGL, VolumePro, Windows, Mathematica

PhD Image Analysis and Interpretation, Technical University Eindhoven, Netherlands, graduated 2007
MSc Computer Science, specialization Computer Graphics, University of West Bohemia (ZČU), Plzeň, Czech Republic, graduated 2002
Advanced School for Computing & Imaging, 2003 – 2006
Erasmus student, University of Bath, UK, Jan – Aug 2001

Algorithms of computer graphics, computational geometry
Various image filters and enhancements, multi-scale approaches
Clustering techniques, segmentation, computer vision, classifiers, computer-aided diagnosis (CAD)
Experience with medical workstations
OpenGL, GPU programming (GLSL), VTK, Coin3D (Open Inventor), VolumePro
C++, C, Java, Pascal, assembler x86, object oriented design, scripting
QT, Win 32 API, MFC
Windows, OS X, Linux/Unix
Visual Studio, QT creator, Mathematica, Matlab
SVN, Mercurial, ClearCase, ClearQuest

Fluent in English and Czech (native), capable of basic communication in German, Dutch and French
Good in personal communication, problem solving, brainstorming
Capable of making social connections
Innovative thinking, looking for alternative solutions
Good team player, motivate others, always willing to help
Able to plan projects
Fast learner, enthusiastic, can quickly adapt new technologies

P. Šereda, “Facilitating the Design of Multidimensional and Local Transfer Functions for Volume Visualization,” PhD Thesis, 2007. PDF (40MB)
P. Šereda, A. Vilanova, I. W. O. Serlie, and F. A. Gerritsen, “Visualization of Boundaries in Volumetric Datasets Using LH Histograms,” IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 2, pp. 208-218, 2006.
P. Šereda, A. Vilanova, and F. A. Gerritsen, “Automating Transfer Function Design for Volume Rendering Using Hierarchical Clustering of Material Boundaries,” Proceedings IEEE/EuroGraphics Symposium on Visualization (EuroVis), pp. 243-250, 2006.
P. Šereda, A. Vilanova ,and F. A. Gerritsen, “Mirrored LH Histograms for the Visualization of Material Boundaries,” Proceedings Visualization Modeling and Vision (VMV), pp. 237-244, 2006.