Alexandru C. Telea

 Department of Mathematics and Computing Science
 University of Groningen
 Nijenborgh 9
 9747 AG Groningen
 The Netherlands

 office: Building 5161, room 492
 phone: +31 50 363 5106

 I hold an appointment since 2007 as full professor in Multiscale Visual Analytics at the Institute Johann Bernoulli, Faculty of Science and Engineering, University of Groningen, the Netherlands.

My research interests cover the following:


information visualization and visual analytics (software comprehension, infovis systems design)

big data multiscale visualization (visual metaphors for large hierarchical data)

multivariate visualization (dimensionality reduction, machine learning, multivariate projections, networks and categorical data)
image/shape processing (2D/3D skeletonization, medical imaging, image processing)
source code analysis (reverse engineering, program comprehension, fact extraction and querying)
interactive systems design (visual application builders, visual exploration techniques)

scientific visualization (GPU-based acceleration techniques, flow visualization)


Publications (updated once/month)

My group's (SVCG) webpage (updated once/few months)

Visual gallery (updated once/year)

Google Scholar profile


The Book (new edition 2014)

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Data Visualization: Principles and Practice (2nd edition, 610 pages)

This second edition of my book first published in 2008 provides a practical introduction to data visualization.
It addresses (under)graduate students and professionals interested in designing and implementing visualization
applications to explore and understand data in a range of fields, including computational flow dynamics,
engineering sciences, medical imaging, geometric modeling, and software engineering.
Topics covered: scalar, vector, tensor, image, volume, and information visualization.

New in the 2nd edition: detailed C/C++ code samples, exam questions, projects, datasets, and ParaView scenarios.

Second edition published by CRC Press in 2014. Over 4000 copies sold (as of 2017).

Delivered Courses

Here are the main courses I deliver or have delivered:

Visual analytics for big data (MSc level)

Scientific Visualization (MSc level)

Software maintenance and evolution (MSc level)

Software quality assessment and testing (BSc level)

Computer graphics (BSc and MSc level)

PhD Students

Here is a list of the PhD students having me as thesis director since 2004. Links point to their PhD theses.



        Lucian Voinea (2007, software visualization)

        Dennie Reniers (2009, 3D shape processing)

        George Byelas (2009, software visualization)

        Mariam Sensalire (2009, software comprehension)

        Ozan Ersoy (2013, network visualization)

        Bertjan Broeksema (2014, big data analytics)

        Jacek Kustra (2015, 3D shape processing)

        Andre Sobiecki (2016, 3D shape processing)

        Rafael M. Martins (2016, multivariate analytics)

        Danilo B. Coimbra (2016, multivariate analytics)

        Renato R. da Silva (2016, multivariate analytics)

        Paulo E. Rauber (2017, visual machine learning)

        Cong Feng (2017, 3D shape procesing)

        Matthew van der Zwan (3D trail analytics)

        Eduardo Vernier (multivariate analytics)

        Han Kruiger (multivariate analytics)

MSc Students

Here is a list of research-result-based selected MSc student theses I have supervised as main director (out of 80+ such works). Links point to their MSc theses.


PhD Research

My PhD research (2000) was on the design and implementation of VISSION, an application building environment for VIsualization and SImulation with Object-oriented Networks. VISSION offers object-oriented tools for scientific visualization and real-time interaction with running simulations, is easily extendable with user modules, and creates visual programming and GUIs automatically from object-oriented code.
Put stronger: It proves that all you can achieve in Java you can also get in C++, but better.



Research valorization

My work led to a successful (>2M EUR turnover) start-up company (SolidSource), specialized in tools and services for the visual analysis of big data for industry-scale software maintenance.