The aims of this renewal REU project are to improve the understanding and processing of imaging data and to develop of computer- based solutions to current imaging and vision problems. Student research projects will include: spectral data processing, perceptual, ubiquitous, and mobile user interfaces, content based media retrieval, multi- approach integration of image processing, and inverse problems using scattering theories. While designed for undergraduate research, the projects are relevant to current problems in the imaging field and thus seek to contribute to its advancement in a real way.
This site is supported by the Department of Defense in partnership with the NSF REU program.
The Montclair State University Research Experience for Undergraduates in Imaging and Computer Vision iMagine REU was established in January 2007, and, through this award received new funding in 2010 spanning a total of six summer programs. iMagine REU was the first REU site at Montclair State University. Each year the REU student cohorts are formed of eight computing related majors who have appropriate background and/or interests in imaging and computer vision. The program focused on students from primarily undergraduate institutions in the country and especially the New York City Tri-state area. Since 2007, a total of 48 participants were supported through the site (with 24 supported by the current award). The intellectual merit of this project comes from the improvement in the understanding and processing of imaging data and the development of computer-based solutions to current imaging and vision problems. The student research projects resulted in new discoveries in hyperspectral and infrared image processing, new models for seismic images as well as new techniques for classifications of nanoimages and prototypes for mobile applications for citizen science. The quality of the work is reflected in the many student posters and presentations accepted at local, national and international meetings. The REU participants worked in teams under direct mentorship of full time faculty researchers. The participants also engaged in a variety of activities that enriched their experience such as visits to industrial partners, workshops on graduate studies, mini-courses on image processing and specialized programming languages, etc. The project covered by the award had a broad impact. Staring with a strong applicant pool each summer, the program attracted participants represented a diversity of institutions (three quarters came from outside the host university and more than half from institutions with no doctoral programs in computing). With more than 70% identifying themselves as part of groups underrepresented in computing, and half residing in the NY/NJ/PA area, iMagine met its goal of increasing diversity in computing, serving the greater NYC area, and allowing participation from students enrolled at institutions with limited research capabilities. With more than half of the participants enrolled or applying to graduate programs, iMagine served as stepping stone in their professional development, encouraging them to follow up with research-oriented science careers.
