Professor Yu-Chong Tai Elected to the National Academy of Engineering
02-09-21
Yu-Chong Tai, Anna L. Rosen Professor of Electrical Engineering and Medical Engineering; Andrew and Peggy Cherng Medical Engineering Leadership Chair; Executive Officer for Medical Engineering, has been elected to the National Academy of Engineering (NAE). Professor Tai was elected for "contributions to microelectromechanical system technologies and parylene-based biomedical microdevices." Election to the National Academy of Engineering is among the highest professional distinctions accorded to an engineer. Academy membership honors those who have made outstanding contributions to "engineering research, practice, or education, including, where appropriate, significant contributions to the engineering literature," and to "the pioneering of new and developing fields of technology, making major advancements in traditional fields of engineering, or developing/implementing innovative approaches to engineering education." [NAE release] [Caltech story]
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Yu-Chong Tai
MCE
Studying Chaos with One of the World's Fastest Cameras
01-14-21
There are things in life that can be predicted reasonably well. The tides rise and fall. A billiard ball bounces around a table according to orderly geometry. And then there are things that defy easy prediction: The hurricane that changes direction without warning. The splashing of water in a fountain. These phenomena and others like them can be described as chaotic systems. Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has developed a new tool that might help to better understand chaotic systems. [Caltech story]
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Lihong Wang
Lihong Wang Named to National Academy of Inventors
12-10-20
Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has been named fellow of the National Academy of Inventors (NAI). Election as a fellow is the highest professional distinction accorded to academic inventors who have demonstrated a prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on quality of life, economic development and the welfare of society. The Wang lab has developed photoacoustic imaging that allows researchers to see into biological tissues noninvasively, and to peer deeper into the body by nearly two orders of magnitude compared to conventional optical microscopy. [Caltech story] [List of 2020 Fellows]
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Lihong Wang
Changhuei Yang Named to National Academy of Inventors
12-10-20
Changhuei Yang, Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering, has been named fellow of the National Academy of Inventors (NAI). Election as a fellow is the highest professional distinction accorded to academic inventors who have demonstrated a prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on quality of life, economic development and the welfare of society. The Yang lab develops technologies aimed at transforming the conventional microscope so that it can be used for high-throughput, automated applications. He also works on the use of "time-reversal" techniques to undo the effect of tissue light scattering. [Caltech story] [List of 2020 Fellows]
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Changhuei Yang
MedE
Lihong Wang Receives NIH BRAIN Grant
12-07-20
Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has received funding for neuroscience projects from the National Institutes of Health's Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative. Wang and his team aim to develop a technology called 3D photoacoustic computed tomography (PACT) that will rapidly image large-scale neural activity in human brains with high sensitivity. "Photoacoustic imaging of adult human brains is one of the most challenging frontiers in our field," says Wang. "It requires innovation to overcome the signal attenuation and wavefront distortion due to the skull. I'm glad that the NIH has the vision to fund this worthy research direction." [Caltech story]
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Lihong Wang
AI-Driven COVID-19 Model Outperforms Competitors
11-30-20
While existing models to predict the spread of a disease already exist, few, if any, incorporate artificial intelligence (AI). Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, is using a new model for predicting COVID-19's impact using AI and it dramatically outperforms other models, so much so that it has attracted the interest of public health officials across the country. "AI is a powerful tool, so it only makes sense to apply it to one of the most urgent problems the world faces," says Yaser Abu-Mostafa. [Caltech story]
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Yaser Abu-Mostafa
CNS
FUTURE Ignited
11-04-20
Nearly 200 undergraduates from more than 120 colleges and universities across the country joined Caltech for FUTURE Ignited, a virtual event that aimed to encourage students of color to pursue graduate studies in science and engineering. The goal of FUTURE Ignited is to diversify STEM with students of color who will go on to become incredible graduate students and scientific leaders in their respective fields. [Caltech story]
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FUTURE Ignited
