Home

The Rensselaer Institute for Data Exploration and Applications

Printer-friendly version

The Rensselaer IDEA
Contact Info
URLhttp://idea.rpi.edu/

Parent Organization: Rensselaer Polytechnic Institute

We increasingly live in a data-driven, web-enabled, supercomputer-powered, globally interconnected world, and this poses significant new challenges to scientists and engineers throughout all of their disciplines. Attacking these problems will require significant new technologies for sensing the environment, collecting and analyzing this data, using it to simulate engineered, biological and social systems, and applying these results to provide effectors, physical or cyber, that can help solve critical global challenges. The Rensselaer IDEA will enable research across this campus to access such technologies via the development of critical computational methodologies including data-intensive supercomputing, large-scale agent-based simulation, and cognitive computing technologies.

Sponsored Projects:

TW LogoDeveloping Ontologies for Additive Manufacturing Processes (DOfAMP)
 Description: We propose the development of the field of materials processing ontology so that the US establishes leadership in this critical technological arena. The goal is the development of a framework, language and algorithm set for organizing and categorizing the myriad relationships between materials processing, properties and structure. No ubiquitous framework currently exists for relating materials processing parameters to properties and structure that translates across multiple materials fields and technologies. In essence, an advanced “Dewey Decimal System” is needed for materials processing, such that data and knowledge that is developed in one materials processing technology can cross-pollinate across other materials technologies.
People:
Kristin Bennett

Kristin P. Bennett's research interests include: combining operations research and artificial intelligence problem solving methods; mathematical programming approaches to problems in data science, data mining, artificial intelligence and machine learning such as machine learning, support vector mach [...]

John S. Erickson

John S. Erickson, Ph.D. has spent over two decades studying the unique social, legal, and technical problems that arise when managing and disseminating information in the digital environment. Currently Director of Research Operations at the Rensselaer Institute for Data Exploration and Applica [...]

Jim Hendler

James Hendler is the Tetherless World Professor of Computer and Cognitive Science, and the Assistant Dean for Information Technology and Web Science, at Rensselaer. He is also a faculty affiliate of the Experimental Multimedia Performing Arts Center (EMPAC), serves as a Director of [...]

Deborah L. McGuinness

Dr. Deborah McGuinness is a leading expert in knowledge representation and reasoning languages and systems and has worked in ontology creation and evolution environments for over 20 years. Most recently, Deborah is best known for her leadership role in semantic web research [...]

Oshani Seneviratne

Oshani Seneviratne is the Director of Health Data Research in the Health Empowerment by Analytics, Learning, and Semantics (HEALS) Project at the Institute for Data Exploration and Applications (IDEA) at the Rensselaer Polytechnic Institute (RPI).

You are not watching this post, click to start watching
  • Printer-friendly version