Projects
Our group has significant experience in engaging scientific and software development communities, community-driven large scale research, development, and deployment projects, and working with inter-disciplinary, multi-institutional teams in collaborative environments. A main theme of our research is the development of novel software systems that enable large scale scientific data management, integration, and analysis in distributed environments. The roots of our research and development efforts go back to early 1990s when Dr. Saltz's group at the University of Maryland (UMD) and Johns Hopkins University (JHU), developed a suite of middleware designed to support data intensive distributed and parallel computing. The biomedical application related components of this work led to the development of some of the first massively parallel molecular dynamics codes and a virtual microscope system able to use clusters and parallel machines to support multiple simultaneous query and processing requests on very large digitized microscopy images. The work at UMD and JHU was continued and expanded after Dr. Saltz moved to Ohio State in 2001 and established the Department of Biomedical Informatics (BMI). The research and development efforts at BMI have resulted in an array of software systems and tools designed to support data integration across heterogeneous data sources, data virtualization on very large datasets, and efficient analysis of data in distributed environments. Much of the foundational work developed by our group has found its way into other middleware development efforts and distributions.
In this section you will find brief descriptions of some of our projects:
cancer Biomedical Informatics Grid (caBIG)
CardioVascular Research Grid (CVRG)
Atlanta Clinical and Translational Science Institute (ACTSI)
In-vivo Imaging Middleware (IVI)
Image Mining for Comparative Analysis of Expression Patterns in Tissue Microarrays
CSR-AES: Collaborative Research: Intelligent Optimization of Parallel and Distributed Applications