Barzilay is up to the challenge. She is focusing her research on computational modeling of linguistic phenomena. She is exploring the ability of a computer to summarize information found in multiple documents that contain related information, such as news articles covering the same event. This will help readers find meaning in the ever-increasing body of information available today.

Aaron Hertzmann
University of Toronto
Assistant professor
Computer Science

 

Hertzmann is working on building simulated models for computer animation. His work shows that realistic physical models can be created from a small number of precise physical measurements. These models can predict human motion in a variety of circumstances, making them invaluable to animators. Similarly, these methods may have an impact on biomechanics research, ultimately aiding physicians and physical therapists in their work.

Scott Klemmer
Stanford University
Assistant professor
Computer Science

 

Klemmer also is interested in how to make the computer environment more significant and accessible by seeking ways to bridge the gulf between the physical and digital worlds. He is focusing on enhancing all aspects of human-computer interaction by creating tools to enable a prototyping culture. As a former graphic design major, Klemmer understands the need to use every available space to create a great design, whether with Post-it Notes, scraps of paper or collages, it all adds up to a way to organize information and create a vision.

Eddie Kohler
University of California, Los Angeles
Assistant professor
Computer Science

 

Kohler hopes to make computer systems easier to program. His vision is based on innovative synthesis of basic systems research and component-based programming language techniques. In application, his work aims to create a more understandable, robust and secure foundation for systems programming. Kohler is also hopeful that his designation as a Microsoft Research New Faculty Fellow will help his university to recruit the best and brightest students.

Fei-Fei Li
Princeton University
Assistant professor
Computer Science

 

Fei-Fei is interested in vision: the task of making machines see like humans. Just as the art lover’s brain blends individual points of color in an Impressionist painting to create a whole, Fei-Fei is developing algorithms to enable computers to generate comprehensive digital representations of complex objects and scenes. The desired result is new tools for personal photo organization and image searches, and, eventually, assistance for the visually impaired.