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Salahaldin Juba

Name:              Salahaldin Juba (ESSReS PhD student)
Institute:           Jacobs University, Bremen
Department:     Computer Science
Phone:             +49-(0)421-200 3050
Email:               s.juba(at)
Web link:

PhD-project title: Assessing Heterogeneous Gridded Datasets Unsing Flexible Web Services

The terms (online science) and (e-science) where scientificinvestigation and analyses is achieved through distributed globalcollaborations between scientists and their resources describe a shiftaway for data acquisition techniques, to be more proactive and dynamicones.

E-science has many obstacles; notably, The explosion of scientific dataproduction by modern science. This explosion is a result of two causes:improved observational technology such as (satellites) and scientificsimulations which represent another dominant source. For example, arecent numerical simulation for Digital Fireworks consumption simulationproduced 100 Tera bytes of data for 11 millisecond of real timeanalyses.

Furthermore, Computer science community has not produced an acceptedgeneral techniques for accessing and manipulating scientific datarepositories yet ; and many scientific communities still uses primitivetechniques such as using file system to store scientific data withspecific rules such as naming convention, file formats and APIs.

Towards the achievement of e-science Open Geo-spatial Consortium (OGC)defined different web services as a standard interfaces for accessingspatial scientific datasets including web coverage service, web mappingservice and web feature service. The purpose of web coverage serviceinterface is to disseminate rich scientific data; However, thisinterfaces lacks a coherent data model for different spatial data typessuch as structured and unstructured grids.

In my research, I want to tackle WCS problems and enhance it on thephysical and logical level, on the logical level, I want to provide alogical data model that provides a coherent overview of coverage typesand operations. On the physical level, I want to investigate the datastructures that can capture coverages efficiently.  


Start of doctoral thesis: 01 September 2008

Thesis Committee:

Supervisor: Prof. Dr. P. Baumann (Jacobs University)

Co-supervisor: Prof. Dr. L. Linsen (Jacobs University)

                      Dr. B. How (Washington University)


Salahaldin Juba: "coverage representation best practices ", OGC Technical and Planning Committee Meetings, 1 – December 2009



Salahaldin Juba and Peter Baumann: "coverage representation model based on explicit topology ", ADBIS 2010, 20 – 24 September 2010


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