Past Research Projects


PANORAMA: Predictive Modeling and Diagnostic Monitoring of Extreme Science Workflows

The PANORAMA project aims to further the understanding of the behavior of scientific workflows as they are executing in heterogeneous environments. The project integrates extreme-scale systems testbed experimentation, structured analytical modeling and parallel systems simulation into a comprehensive workflow framework called Pegasus for understanding and improving the overall performance of complex scientific workflows on today’s and future- generation architectures.

Funding Agency: DOE
Role: Senior Personnel


dV/dt: Accelerating the Rate of Progress Towards Extreme Scale Collaborative Science

Using planning as the unifying concept for this project, we will develop and evaluate by means of at-scale experimentation novel algorithms and software architectures that will make it less labor intensive for a scientist to find the appropriate computing resources, acquire those resources, deploy the desired applications and data on these resources, and then manage them as the applications run. The proposed research will advance the understanding of resource management within a collaboration in the areas of: trust, planning for resource provisioning, and workload, computer, data, and network resource management.

Funding Agency: DOE
Role: Senior Personnel


PRECIP: Pegasus Repeatable Experiments for the Cloud in Python

Precip is a flexible exeperiment management API for running experiments on clouds. Precip was developed for use on FutureGrid infrastructures such as OpenStack, Eucalyptus (>=3.2), Nimbus, and at the same time commercial clouds such as Amazon EC2. The API allows you to easily provision resources, which you can then can run commands on and copy files to/from subsets of instances identified by tags. The goal of the API is to be flexible and simple to use in Python scripts to control your experiments.


VIP: Virtual Imaging Platform

The Virtual Imaging Platform (VIP) project targets multi-modality, multi-organ and dynamic (4D) medical image simulation. Integrating proven simulation software of the four main imaging modalities (MRI, US, PET and CT), the platform copes with interoperability challenges among simulators, addresses compatibility issues between organ models and provides transparent access to computing and storage resources.

Funding Agency: ANR
Role: Software Engineer


ER-flow: Building a European Research Community through Interoperable Workflows and Data

The FP7 “Building a European Research Community through Interoperable Workflows and Data” (ER-flow) project disseminates the achievements of the SHIWA project and use these achievements to build workflow user communities across Europe. ER-flow provides application supports to research communities within and beyond the project consortium to develop, share and run workflows with the SHIWA Simulation Platform.

Funding Agency: FP7
Role: Senior Personnel


Other Projects:

  • 2008-2010 – EELA-2: E-science grid facility for Europe and Latin America
  • 2008-2010 – OurGrid