An Engineering Art Exhibit
Hillary Mushkin, Visiting Professor of Art and Design in Mechanical and Civil Engineering, worked with a group of students taking her new media art history seminar (E/H/Art 89 - the first Caltech course cross-listed in engineering and humanities) to conceptualize, design and fabricate their own original new media artwork using technologies and fabrication methods of their own choice. Students created electroencephalogram (EEG) art, automatic drawing machines, conceptual art-inspired visualizations of mathematical concepts, interactive video projections, electronic instruments and other novel forms. [Photos of the exhibit]
Nadia Lapusta, Professor of Mechanical Engineering and Geophysics, and colleagues have created new earthquake fault models showing that “stable” zones may contribute to the generation of massive earthquakes. "Lapusta and Noda's realistic earthquake fault models are critical to our understanding of earthquakes—knowledge that is essential to reducing the potential catastrophic consequences of seismic hazards," says Chair Ares Rosakis. "This work beautifully illustrates the way that fundamental, interdisciplinary research in the mechanics of seismology at Caltech is having a positive impact on society." [Caltech Release]
Modeling Jet Engine Noise
Tim Colonius, Professor of Mechanical Engineering, and his group have been building models to understand how jet engines generate noise and the Office of Naval Research recently awarded him funding to develop a better way to control the din. “Now we are getting a much more detailed picture of the actual mechanism by which the turbulence makes the sound,” Colonius says.
Progress for Paraplegics
Joel W. Burdick, Richard L. and Dorothy M. Hayman Professor of Mechanical Engineering and Bioengineering, and Yu-Chong Tai, Professor of Electrical Engineering and Mechanical Engineering, are developing new technologies to expand their research which has enabled a paraplegic man to stand and move his legs voluntarily. The team has until now used intelligent guesswork to determine which stimuli might work best. But soon, using a new algorithm developed by Professor Burdick, they will be able to rely on a computer to determine the optimum stimulation levels, based on the patient's response to previous stimuli. This would allow patients to go home after the extensive rehab process with a system that could be continually adjusted by computer. [Caltech Release] [ENGenious Progress Report]