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
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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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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). Professor Yaser Abu-Mostafa 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