The 2007 Beckman Institute Graduate Fellows are as follows:
Eamon is pursuing his Ph.D. in Visual Cognition and Human Performance in the Department of Psychology. As a Beckman Graduate Fellow he plans to continue his research on human perception of natural scenes. He hopes his ability to collaborate with Beckman Institute faculty members will result in improved understanding and knowledge of how humans interact with the visual world.
Yun Fu is pursuing his Ph.D. in Electrical and Computer Engineering. His work focuses on applying multimodal manifold-embedded subspace learning to different biomedical imaging modalities and then using them to view important biomolecular signaling events in cancer. Specifically, he will be working with breast cancer diagnosis and will be aiming to find ways to conduct accurate breast cancer diagnosis by the fusion of ultrasound and FTIR imaging. This could lead to innovative clinical diagnosis and biological study tools, as well as computer-aided surgical technologies.
Matthew is working on his Ph.D. in Materials Science and Engineering. His ultimate research goal is to build and test a functional, chalcogenide glass-based, nonlinear 3D photonic crystal device. His research will require collaboration with Beckman Institute researchers as well as international collaborations. The results of this work are expected to enable numerous applications in photonics and telecommunications.
James is pursuing his Ph.D. in Materials Science and Engineering. His research has emerged as a promising route to the low-cost fabrication of 3D periodic structures for applications in photonic crystals, microfluidics, and drug delivery. To more effectively employ this technique, James has developed a computational strategy for the design of 3D periodic structures based on genetic algorithms. His research goal will be to illustrate this design strategy and explore potential applications.
Su-Youn is working on a Ph.D. in Linguistics. Her research is developing a computer-aided pronunciation training system for second language learners. The system she is working on assesses the user's pronunciation accuracy and provides feedback to correct errors. This system would allow language learners to work independently and would provide a more economic solution than traditional methods.
Behzad Sharif (accepted with deferred start date of Summer 2008)
Behzad is working toward a Ph.D. in Electrical Engineering. His research goal is to pursue significant fMRI improvements that yield higher spatial and temporal resolution, and reduced magnetic susceptibility artifacts that currently plague fMRI investigations. His work bridges the gap between engineering development and cognitive neuroscience research.