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WORLDCOMP'09 Tutorial: Dr. Brian J. d'Auriol

Last modified 2009-07-03 10:54

Visualization for the Beginner, the Researcher, the Advanced Architect and Whoever Else…
Dr. Brian J. d'Auriol
Kyung Hee University, Republic of Korea

Date: July 14, 2009
Time: 6:00-9:30 PM
Location: Copper Room


    The proliferation of low and moderate cost visualization enabled systems and applications have brought the potential of high quality visualizations to end user communities. There is a wide-spread and increasing popularity and adoption of visualization as an effective means to present information and data. However, in many cases, visualizations are constrained by the particular system and users may have only limited background in visualization. In its simplest application, a graph or other picture is sufficient to get the point across. In these cases, the visualization designer may rely on intuition and experience to construct the visual. However, in most cases, a deeper knowledge of the end user’s requirements combined with more effective visual displays facilitates the end user’s understanding of the information or data. In mission or time critical applications, the presented information should be understood in as short an amount of time as possible. This tutorial covers information and data modeling, visualization modeling, visualization techniques ranging from simple visual presentations to more advanced presentations, and various visualization related aspects such as the use of color, shapes, interactions and metrics. Topics and examples range from simple applications suitable for practical applications to research level concepts. A ‘hands-on’ paper-based and question-answer style engages the tutorial participants.


    This tutorial will:

    • survey various visualization applications and systems,
    • enable the participants to understand more about the visualization processes, techniques and related aspects that can be used to provide effective visualizations,
    • pose research level questions that may motivate research activities,


    This tutorial is intended for faculty, engineers, scientists, department managers and policy makers, and students who wish to learn about how to more effectively present information and data visually.


    Brian J. d'Auriol received the BSc(CS) and Ph.D. degrees from the University of New Brunswick in 1988 and 1995, respectively. He is now research and teaching faculty in the Department of Computer Engineering at Kyung Hee University, Republic of Korea. Previously, he had been a researcher at the Ohio Supercomputer Center, USA and assistant professor at several American and Canadian universities, including, The University of Texas at El Paso, The University of Akron, Wright State University and The University of Manitoba. He has organized and chaired the International Conference on Communications in Computing (CIC) 2000-2008 and the 11th Annual International Symposium on High Performance Computing Systems (HPCS'97) in 1997. He has published over 65 papers in international journals and conferences and has given several invited presentations. His research includes information and data visualization with specialization in visualization modeling, program visualization of high performance computing codes, genome sequence visualization in bioinformatics, and health care related visualizations; and, optical-communication parallel computing models with specialization in optical bus models, communication and computation modeling in parallel and distributed systems, and recently, ubiquitous sensor networks. He is a member of the ACM and IEEE (Computer Society).

Academic Co-Sponsors

United States Military Academy, Network Science Center

Biomedical Cybernetics Laboratory, HST of Harvard University and MIT, USA

Argonne's Leadership Computing Facility of Argonne National Laboratory

Functional Genomics Laboratory, University of Illinois at Urbana-Champaign, USA
Minnesota Supercomputing Institute, University of Minnesota, USA
Intelligent Data Exploration and Analysis Laboratory, University of Texas at Austin, Austin, Texas, USA
Harvard Statistics Department Genomics & Bioinformatics Laboratory, Harvard University, USA

Texas Advanced Computing Center, The University of Texas at Austin, Texas

Center for the Bioinformatics and Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, USA

Bioinformatics & Computational Biology Program, George Mason University, Virginia, USA

Institute of Discrete Mathematics and Geometry, Vienna University of Technology, Austria

BioMedical Informatics & Bio-Imaging Laboratory, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
Knowledge Management & Intelligent System Center (KMIS) of University of Siegen, Germany

National Institute for Health Research, UK

Hawkeye Radiology Informatics, Department of Radiology, College of Medicine, University of Iowa, Iowa, USA

Institute for Informatics Problems of the Russian Academy of Sciences, Moscow, Russia.
Medical Image HPC & Informatics Lab (MiHi Lab), University of Iowa, Iowa, USA
SECLAB An inter-university research group (University of Naples Federico II, the University of Naples Parthenope, and the Second University of Naples, Italy)
The University of North Dakota, Grand Forks, North Dakota, USA
Intelligent Cyberspace Engineeing Lab., ICEL, Texas A&M; University (Com./Texas)

International Society of Intelligent Biological Medicine

World Academy of Biomedical Sciences and Technologies

Corporate Sponsor

Other Co-Sponsors
European Commission
High Performance Computing for Nanotechnology (HPCNano)

HoIP - Health without Boundaries

Hodges' Health

The International Council on Medical and Care Compunetics

GridToday - enewsletter focused on Grid, SOA, Virtualization, Storage, Networking and Service-Oriented IT

HPCwire - The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing

The UK Department for Business, Enterprise & Regulatory Reform
VMW Solutions Ltd.
Scientific Technologies Corporation

Bentham Science Publishers


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