CenSSIS Solutionware: Software Solutions for Subsurface Sensing and Imaging

CenSSIS Solutionware

CenSSIS solutionware falls under Research Thrust R3: Image and Data Information Management. The underlying motivation for work in the R3 thrust area is the recognition that many of the CenSSIS projects and TestBEDs will encounter massive datasets, computational barriers and software development challenges. The goal of the R3 Group is to develop scalable computational tools and resources to enable realistic models to be used for inversion. R3 is responsible for the development and implementation of efficient sensor data databases, metadata, and multidimensional data search capabilities, and software-engineered SSI toolsets.

CenSSIS Image Database:  a scientific database that enables effective data management and collaboration to accelerate fundamental research. The system incorporates efficient submission and retrieval of images and metadata, indexing of metadata for efficient searching, and complex relational query capabilities.

SSI Toolboxes: collections of software utilities designed to address classes of problems that exist within the subsurface sensing and imaging research domain.

The CenSSIS Solutionware Team

David Kaeli, Associate Professor of Electrical & Computer Eng'g and R3 Thrust Leader
Emmanuel Arzuaga Cruz, CenSSIS Software Engineer
Furong Yang, CenSSIS Database Administrator
Samuel  Rosario, Software Developer, CenSSIS at University of Puerto Rico at Mayagüez
Chia-Ling (Charlene) Tsai, Software Developer, CenSSIS at Rensselaer Polytechnic Institute

Contacting the Solutionware Team
For questions or comments about the CenSSIS Image Database, CenSSIS Software Toolboxes, or CenSSIS Solutionware in general, contact us at solutionware@censsis.neu.edu