In today's world, organizations are collecting massive amounts of data. You need an easy way to look at your data to make sense of it and ultimately use it in a more meaningful way. Trust us, it's a lot easier to understand content in pictures than text.
Faculty of Computer and Mathematical Sciences (FSKM), Universiti Teknologi MARA (UiTM) Shah Alam has appointed a visiting professor, Professor Min Chen (University of Oxford). Based on the appointment, Prof. Min Chen will be in Malaysia from 09th September to 27th September 2013 to share his knowledge and experience in scientific research. His research areas include volume graphics, video visualization, face modeling, automated visualization, and theory of visualization. He is currently leading visualization activities at Oxford e‐Research Centre, with a team of 7 researchers and applying visualization and visual analytics to a broad spectrum of interdisciplinary research topics, ranging from physical sciences to digital humanities, and from sport events to cybersecurity. He is a fellow of British Computer Society, European Computer Graphics Association, and Learned Society of Wales.
In addition to share his knowledge with UiTM members, the FSKM would like to organize two (2) seminars at the Impiana Hotel KLCC for outreaching Malaysian researchers. Both seminars full with solid knowledge in theory and research approach for Malaysia’s Research & Development plan in attaining the national transformation agenda.
16 September, Seminar 1
Seminar 1: Data Analysis and Visualization
Professor Min Chen, University of Oxford
Venue: Hotel Impiana KLCC Kuala Lumpur
This seminar covers a broad range of topics in data analysis and visualization (at different levels of detail). In particular, it examines the relative merits and demerits of automated analysis and interactive visualization, and focuses on the methodology of formulating an integrated data processing pipeline by combining interactive visualization with analytical techniques.
It serves as an introduction to this important subject with the following syllabus:
- Introduction: Data types. Tasks, objectives, and workflows. Historical developments.
- Basic Analysis: Statistical analysis.
- Basic Visualization: Statistical graphics and popular visual representations.
- Multivariate Visualization: Matrx-based representations, parallel coordinate visualization, and glyph-based visualization.
- Classification and Clustering.
- Dimensionality Reduction.
- Tree and Graph Visualization.
- Time Series Analysis and Visualization.
- Integrated Data Analysis and Visualization.
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Online Registration
17 September, Seminar 2
Volume Graphics and Volume Visualization
Professor Min Chen, University of Oxford
Venue: Hotel Impiana KLCC Kuala Lumpur
Volume graphics is concerned with graphics scenes, where models are defined using volume representations instead of, or in addition to, traditional surface representations. Volume visualization is also concerned with volume data representations that are used to store measured physical attributes of real-world objects and phenomena, or to represent computer-generated models and their attributes in volumetric forms. Whilst the two subjects have rather different objectives, they share the same underlying mathematical concepts, and a large collection of algorithms and techniques. Meanwhile, they also face a common challenge of displaying true-3D graphical models on 2D computer screens and paper media.
Professor Min Chen is the main organizer of the first International Workshop on Volume Graphics at Swansea in 1999, and the author of the entry on “Volume Graphics and Volume Visualization” in Wiley Encyclopedia of Computer Science and Engineering, and that on “Volume Graphics” in Encyclopedia of Mocrocomputers. In this seminar, he will introduce the theoretical foundations and applications of these two closely-related subjects, and will cover the main techniques for modelling, manipulating and rendering volumetric representations with the following syllabus:
- Introduction: Objectives, historical development, and applications (e.g., medical imaging and scientific computing).
- Volumetric Data Types: Concept of scalar fields, regular and irregular data types, multi-fields, and functional volumetric models.
- Volume and Surface: Concepts of iso-surfaces. Surface extraction. Ambiguity problems and solutions. Acceleration techniques. Voxelization and distance fields.
- Direct Volume Rendering: Volume rendering integral. Transfer functions. Ray-casting algorithms. Forward projection algorithms. Acceleration techniques.
- Advanced Topics: Constructive volume geometry (CVG). Discrete ray tracing. Volume deformation and animation.
