Alexandru C. Telea
Department of Mathematics and Computing
Starting mid 2019, I hold an appointment as full professor in Visual Data Analytics at the Department of Information and Computing Sciences, Utrecht University. Prior to this, I worked as full professor of Multiscale Visual Analytics at the Bernoulli Institute, Faculty of Science and Engineering, University of Groningen.
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, 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 exploration techniques, interaction and animation in visualization)
scientific visualization (GPU-based acceleration techniques, PDE-based visualization)
Publications (updated once/month)
My group's (SVCG) webpage (updated once/few months)
Visual gallery (updated once/year)
The Book (new edition 2014)
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
Second edition published by CRC Press in 2014. Chinese edition published in 2018. Over 5000 copies sold (2018).
Here are the main courses I deliver or have delivered:
Software quality assessment and testing (BSc level)
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 (2018, 3D trail analytics)
Eduardo Vernier (multivariate analytics)
Lucas Pagliosa (time-series visual analytics)
Mateus Espadoto (deep learning for visual analytics)
Caio Rodrigues (visualizing classifier decision maps)
Samuel Martins (visual analytics for deep learning in brain research)
Jieying Wang (multiscale skeletons for image/field analysis)
Xiaorui Zhai (interactive visual analytics of high-dimensional data)
Xingyu Chen (visual analytics for shape analysis and retrieval)
Youngjoo Kim (big-data dimensionality reduction)
Gerben Hettinga (image vectorization)
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.
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.
My work led to a successful (>2M EUR turnover) start-up company (SolidSource BV) specialized in tools and services for the visual analysis of big data for industry-scale software maintenance.