News & Events

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]

Tags: EE research highlights CMS Yaser Abu-Mostafa

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

08-27-20

Five new Department of Energy centers will apply quantum information science to emerging technologies. The centers will develop cutting-edge quantum technologies for use in a wide range of possible applications including scientific computing; fundamental physics and chemistry research; and the design of solar cells and of new materials and pharmaceuticals. Caltech faculty will participate in four of the new science centers: the Quantum Systems Accelerator, led by the Lawrence Berkeley National Laboratory, also known as Berkeley Lab; the Quantum Science Center, led by Oak Ridge National Laboratory; Q-NEXT, led by Argonne National Laboratory; and the Co-design Center for Quantum Advantage, led by Brookhaven National Laboratory. [Caltech story]

Tags: APhMS EE research highlights CMS Oskar Painter Andrei Faraon

08-25-20

A team of Caltech students, led by Professor Yaser Abu-Mostafa, have developed a tool to predict the impact of COVID-19 using artificial intelligence (AI). While many models to predict the spread of a disease already exist, few if any incorporate AI, which makes predications based on observations of what is actually happening as opposed to what the model's designers think should happen. AI has the power to discover patterns hidden in data that the human eye might not recognize. [Caltech story]

Tags: EE research highlights CMS Yaser Abu-Mostafa

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]

Tags: EE research highlights Changhuei Yang MedE

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]

Tags: EE research highlights MedE Lihong Wang

03-31-20

Professor Andrei Faraon and team have shown that atoms in optical cavities—tiny boxes for light—could be foundational to the creation of a quantum internet. They identified a rare-earth ytterbium ion in the center of a beam. The ytterbium ions are able to store information in their spin for 30 milliseconds. In this time, light could transmit information to travel across the continental United States. "It's a rare-earth ion that absorbs and emits photons in exactly the way we'd need to create a quantum network," says Faraon. "This could form the backbone technology for the quantum internet." [Caltech story]

Tags: APhMS EE research highlights Andrei Faraon Andrei Ruskuc Jake Rochman John Bartholomew Yan Qi Huan

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]

Tags: EE research highlights MedE Lihong Wang

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]

Tags: EE research highlights MedE Lihong Wang

10-10-19

Caltech has launched the Schmidt Academy for Software Engineering to train the next generation of science-savvy software engineers and set new standards in scientific software. "This is a recognition that computing, software, and machine learning are going to play a very big role in science. Because Caltech is small and collaborative, we have the opportunity to really make a push in that direction," says Kaushik Bhattacharya, the Howell N. Tyson, Sr., Professor of Mechanics and Materials Science and vice provost. [Caltech release]

Tags: APhMS EE research highlights MCE CMS Tapio Schneider Donnie Pinkston Kaushik Bhattacharya