Todd Manini Ph.D.
Sanjay Ranka, Ph.D.
Department of Computer & Information Science & Engineering
Data Science and Applied Technology (DSAT) Core (RC4) provides many unique attributes, such as: developing software for interactive mobile technology (e.g., wearable sensors that are programmable in real time); validating new sensing technology; warehousing data; repurposing data; and applying machine learning techniques to domain problems. DSAT provides a central hub of expertise in computer science, biomedical engineering, biomedical informatics, data science, applied technology, epidemiology, and content expertise in the assessment of mobility
The core has 800 sqft of dedicated space to conduct research. This space is outfitted with 8 workstations with large monitors (>20 inches). It also has an 8X4 ft conference table that serves as collaboration space. with office is adjacent to the space where clinical assessments are performed. The space is designed for programmers and trainees to download, store and analyze data. The space is situated immediately office/work areas of clinic research staff that include study coordinators, student assistants, and collaborating investigators. The core also has full access to The Department of Computer and Information Sciences and Engineering (CISE) computer cluster space consisting of a head node with dual Opterons, 16GB of memory and 3.5TB of storage with 20 worker nodes with dual Opterons and 32GB of memory running Linux (Ubuntu Server 10.04). These will be used for prototype software development. All graduate students have access to a workstation that can be used to access this cluster. All faculty offices are equipped with a Windows or Linux workstation with standard software installations. Wireless access is available throughout the CSE Building and all of campus.