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Thesis topic proposal
 
Information and scientific visualization

THESIS TOPIC PROPOSAL

Institute: University of Debrecen
computer sciences
Doctoral School of Informatics

Thesis supervisor: Ildikó Papp
Location of studies (in Hungarian): University of Debrecen, Faculty of Informatics
Abbreviation of location of studies: DE IK


Description of the research topic:

Information and scientific visualization are two of the fastest growing areas of computer graphics. Nowadays, there are more and more branches of industry that use information visualization applications to manage their high amounts of data, and get conclusions from them by using fresh and new methods. Data visualization combines well the methods and results of the following disciplines: mathematics, cognitive and computer science, and engineering. The most important task of scientific visualization is to depict data (derived from research or different scientific measurements) according to different criteria. In this case we often have datasets which can have spatial embedding naturally, i.e., sets whose elements have spatial positions with particular significance. The thesis topic is about analyzing existing visualization methods, detecting their possible deficiencies, and finding solutions to the recognized problems, potentially with the application of new geometric models or designing methods based on newly applied structures. The adaptation and application of these techniques to diverse problems which come from other disciplines are also play an important role in this topic.

Bibliography:
1. A. C. Telea: Data Visualization: Principles and Practice, Second Edition, A K Peters/CRC Press, 2014.
2. G. Farin, D. Hansford: Mathematical Principles for Scientific Computing and Visualization, A K Peters/CRC Press, 2008.
3. H. Wright: Introduction to Scientific Visualization, Springer, 2007.
4. C. Ware: Information Visualization, Third Edition: Perception for Design (Interactive Technologies), Morgan Kaufmann, 2012.
5. M. O. Ward, G. Grinstein, D. Keim: Interactive Data Visualization, Foundation, Techniques, and Applications, A K Peters/CRC Press, 2010.

Recommended language skills (in Hungarian): English
Number of students who can be accepted: 1

Deadline for application: 2018-05-15

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )