Shayan Shahand

Researcher
The Netherlands
Shayan Shahand is a postdoctoral researcher and scientific programmer at the Academic Medical Center (AMC) of the University of Amsterdam (UvA), Netherlands. His current research interests are "distributed systems", "e-Science", and "Science Gateways", especially to facilitate data- and compute-intensive biomedical research. His ambition is to facilitate the usage of large distributed systems for big data analyses.

Publications

  • Initial steps in analyzing science gateways sustainability through business model canvas: a use case for the computational neuroscience gateway
  • Computational Neuroscience Gateway: A Science Gateway Based on the WS-PGRADE/gUSE DOI: 10.1007/978-3-319-11268-8_10
  • A data-centric neuroscience gateway: Design, implementation, and experiences DOI: 10.1002/cpe.3281
  • Exploring dynamic enactment of scientific workflows using pilot-abstractions DOI: 10.1109/CCGrid.2013.17
  • Characterizing workflow-based activity on a production e-infrastructure using provenance data DOI: 10.1016/j.future.2013.04.019
  • A Data-Centric Science Gateway for Computational Neuroscience
  • Provenance for distributed biomedical workflow execution DOI: 10.3233/978-1-61499-054-3-91
  • Integrated support for neuroscience research: From study design to publication DOI: 10.3233/978-1-61499-054-3-195
  • Evolution of grid-based services for Diffusion Tensor Image analysis DOI: 10.1016/j.future.2012.03.007
  • A Grid-Enabled Gateway for Biomedical Data Analysis DOI: 10.1007/s10723-012-9233-4
  • Front-ends to biomedical data analysis on Grids
  • Data decomposition in biomedical e-Science applications DOI: 10.1109/eScienceW.2011.7
  • Modeling HIV-1 intracellular replication: Two simulation approaches DOI: 10.1016/j.procs.2010.04.059
  • DynaSched: A dynamic Web service scheduling and deployment framework for data-intensive Grid workflows DOI: 10.1016/j.procs.2010.04.063
  • A Dynamic web service scheduling and deployment framework for grid workflow
  • Distributed execution of workflow using parallel partitioning DOI: 10.1109/ISPA.2009.96