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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Katie Bouman
IRCA Best Paper Awards
06-08-20
Two teams of Caltech researchers have won three International Conference on Robotics and Automation (ICRA) Best Paper Awards in multiple categories along with the overall best paper award. The ICRA is the largest and most prestigious robotics conference of the year. Awards are given on the basis of technical merit, originality, potential impact on the field, clarity of the written paper, and quality of the presentation. Maegan Tucker, Ellen Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel Burdick, and Aaron Ames, have won the ICRA Best Conference Paper Award and the ICRA Best Paper Award on Human-Robot Interaction (HRI) for their paper entitled "Preference-Based Learning for Exoskeleton Gait Optimization." Amanda Bouman, Paul Nadan, Matthew Anderson, Daniel Pastor, Jacob Izraelevitz, Joel Burdick, and Brett Kennedy, have won the ICRA Best Paper Award on Unmanned Aerial Vehicles for their paper entitled "Design and Autonomous Stabilization of a Ballistically Launched Multirotor."
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Joel Burdick
IST
Yisong Yue
CNS
Aaron Ames
Maegan Tucker
Ellen Novoseller
Claudia Kann
Yanan Sui
Amanda Bouman
Paul Nadan
Matthew Anderson
Daniel Pastor
Jacob Izraelevitz
Brett Kennedy
Seeing Through Opaque Media
05-12-20
Changhuei Yang, Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering, has developed a technique that combines fluorescence and ultrasound to peer through opaque media, such as biological tissue. "We hope that one day this method can be deployed to extend the operating depth of fluorescence microscopy and help image fluorescent labeled cells deep inside living animals," says Yang. [Caltech story]
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Changhuei Yang
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New Ultrafast Camera Takes 70 Trillion Pictures Per Second
05-04-20
A new camera developed by Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, is capable of taking as many as 70 trillion frames per second. The camera technology, which Wang calls compressed ultrafast spectral photography (CUSP), combines a laser that emits extremely short pulses of laser light that last only one quadrillionth of a second (one femtosecond) with optics and a specialized type of camera. The technology could open up new avenues of research in fields that include fundamental physics, next-generation semiconductor miniaturization, and the life sciences. "We envision applications in a rich variety of extremely fast phenomena, such as ultrashort light propagation, wave propagation, nuclear fusion, photon transport in clouds and biological tissues, and fluorescent decay of biomolecules, among other things," Wang says. [Caltech story]
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Lihong Wang
Professor Wang Advances Photoacoustic Imaging Technology
02-25-20
Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has developed variants of photoacoustic imaging that can show organs moving in real time, develop three-dimensional (3-D) images of internal body parts, and even differentiate cancerous cells from healthy cells. Photoacoustic imaging, a technique for examining living materials through the use of laser light and ultrasonic sound waves, has many potential applications in medicine because of its ability to show everything from organs to blood vessels to tumors. Wang has now further advanced photoacoustic imaging technology with what he calls Photoacoustic Topography Through an Ergodic Relay (PATER), which aims to simplify the equipment required for imaging of this type. [Caltech story]
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Lihong Wang
Professor Wang Develops World's Fastest Camera
01-21-20
Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has developed the world's fastest camera, a device capable of taking 10 trillion pictures per second. It's so fast that it can even capture light traveling in slow motion. "What we've done is to adapt standard phase-contrast microscopy so that it provides very fast imaging, which allows us to image ultrafast phenomena in transparent materials," says Wang. [Caltech story]
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Lihong Wang