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8 New IGERT Fellows Selected

November 8, 2008

Students selected for the IGERT Fellowship program are studying the technical and political aspects of decision-making as it relates to diagnostics of roads and bridges.

The first cohort of Intelligent Diagnostics (ID) IGERT Fellows join Northeastern University and the University of Puerto Rico at Mayaguez from diverse technical backgrounds including physics, computer and information science, electrical engineering, mechanical engineering, structural engineering, and transportation engineering. They will begin their fellowships in the Fall 2008 sharing courses across both campuses.

Northeastern University (NU) and the University of Puerto Rico at Mayaguez (UPRM)partner to address the acute national need for experts in intelligent diagnostics. We seek to bridge the wide disciplinary gap between sophisticated sensing techniques on one hand, and engineering diagnostics on the other, by training professionals to have a thorough understanding of problem domain and solution methodologies, as well aseconomic, management and public aspects of intelligent diagnostics. Students will learn how to ask the right technological questions, find fitting answers, and work on state of the art research projects and address questions of policy with faculty mentors. A suite of experimental TestBEDs at NU and UPRM will be integrated into the educational curriculumand research. Access to several system level field sites is available through international and domestic partners.

This National Science Foundation supported IGERT program has been developed to meet the challenges of educating U. S. Ph.D scientists and engineers who will pursue careers in research and education using their interdisciplinary backgrounds, acquired knowledge in specific disciplines, and technical, professional, and personal skills to become leaders and creative agents for change. The program is intended to catalyze a culture change in graduate education for students, faculty, and institutions by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries. The program intends to contribute to a world-class, broadly inclusive, and globally engaged science and engineering workforce.