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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]

Tags: EE research highlights MedE Lihong Wang

Professor Low Named ACM Fellow

01-13-21

Steven Low, Frank J. Gilloon Professor of Computing and Mathematical Sciences and Electrical Engineering, has been named a Fellow of the Association for Computing Machinery (ACM). He is being recognized, “for theoretical foundations and real-world deployment of Internet congestion control and smart grid optimization.” The ACM Fellows Program recognizes and honors outstanding ACM members for their achievements in computer science and information technology. [ACM release]

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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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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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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]

Tags: EE research highlights MedE Lihong Wang

Pietro Perona Elevated to IEEE Fellow

12-04-20

Pietro Perona, Allen E. Puckett Professor of Electrical Engineering, has been elevated as a fellow of the Institute of Electrical and Electronics Engineers (IEEE) for contributions to visual recognition algorithms and datasets. The IEEE Fellow is one of the most prestigious honors of the IEEE, and is bestowed upon a very limited number of Senior Members who have contributed importantly to the advancement or application of engineering, science and technology. [Elevated class of 2021]

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Professor Bouman Receives GSC Teaching Award

11-18-20

Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar, has been chosen to receive a Graduate Student Council (GSC) Teaching Award for outstanding instruction of the inaugural course on Computational Photography.

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Ultrafast Camera Films 3-D Movies at 100 Billion Frames Per Second

10-19-20

Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has developed technology that can reach blistering speeds of 70 trillion frames per second, fast enough to see light travel. Just like the camera in your cell phone, though, it can only produce flat images. Now, Wang's lab has gone a step further to create a camera that not only records video at incredibly fast speeds but does so in three dimensions. [Caltech story]

Tags: EE research highlights MedE Lihong Wang

Katie Bouman Receives Okawa Research Grant

06-26-20

Katie Bouman, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering; Rosenberg Scholar, is a recipient of a 2020 Okawa Foundation Research Grant for her work on "AI Meets Real-World Science: Optimal Sensing for Next-Generation Imaging." This is a prize awarded to faculty involved in the fields of computer science, information systems and/or telecommunications, and other scientific fields inspired by these approaches. [Past Recipients]

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Myra Cheng Receives Goldwater Scholarship

06-12-20

Myra Cheng, an undergraduate student in computing and mathematical sciences, has been selected to receive a Goldwater Scholarship. The Barry Goldwater Scholarship and Excellence in Education Program awards scholarships to college sophomores or juniors who intend to pursue research careers in science, mathematics, and engineering. Myra works with Yisong Yue and Joel Burdick on optimization algorithms that can learn individual preferences based on real-time interaction with people. These algorithms can be used in wearable exoskeletons that help mobility-impaired individuals walk. "I'm interested in how machine learning interacts with humans and, more broadly, human society," she says. Cheng has also been working with Katie Bouman and Claire Ralph on developing algorithms that address questions of explainability and algorithms that affect social change. [Caltech story]

Tags: honors CMS Joel Burdick Yisong Yue Claire Ralph Katie Bouman Myra Cheng Goldwater Scholarship