News & Events


Electronic/Photonic Chip Sandwich Pushes Boundaries of Computing and Data Transmission Efficiency


Engineers at Caltech and the University of Southampton in England have collaboratively designed an electronics chip integrated with a photonics chip (which uses light to transfer data)—creating a cohesive final product capable of transmitting information at ultrahigh speed while generating minimal heat. [Caltech story]

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Pranav Kulkarni Wins First Place Paper at 2022 Asilomar Conference


Pranav Kulkarni, Graduate Student in Electrical Engineering, has received First Place for his paper coauthored with Professor P. P. Vaidyanathan, titled "Rational Arrays for DOA Estimation: New Insights and Performance Evaluation" at the 2022 IEEE Asilomar Conference on Signals, Systems, and Computers.

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High-speed Camera Captures Signals Traveling Through Nerve Cells


Scientists have developed a new ultrafast camera that can record footage of impulses as they travel through nerve cells. The camera technology, known as differentially enhanced compressed ultrafast photography (Diff-CUP), was developed in the lab of Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering; Andrew and Peggy Cherng Medical Engineering Leadership Chair; Executive Officer for Medical Engineering. "Seeing nerve signals is fundamental to our scientific understanding but has not yet been achieved owing to the lack of speed and sensitivity provided by existing imaging methods," Wang says. [Caltech story]

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Laser Light Offers New Tool for Treating Bone Cancer


Of the many ways to treat cancer, the oldest, and maybe most tried and true, is surgery. The goal is to remove all of the cancerous tissue while preserving as much of the surrounding healthy material as possible. "It's very hard to grow bone, so if you cut out bone, you basically lose it," says Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering; Andrew and Peggy Cherng Medical Engineering Leadership Chair; Executive Officer for Medical Engineering. A new diagnostic imaging technology developed by researchers at Caltech is offering surgeons the ability to make cuts 10 times more precisely, allowing them to preserve as much as 1,000 times more healthy tissue and to give patients easier recoveries. [Caltech story]

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New Photonic Chip "Squeezes" More out of Light


Electronic computing and communications have come a very long way since the days of radio telegraphy and vacuum tubes, with consumer devices now containing levels of processing power and memory that would be unimaginable just a few decades ago. "The quality of the quantum states we have achieved surpasses the requirements for quantum information processing, which used to be the territory of bulky experimental setups," says Alireza Marandi, Assistant Professor of Electrical Engineering and Applied Physics. [Caltech story]

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Ask a Caltech Expert: Yaser Abu-Mostafa on AI and Finance


Can AI Predict Economic Downturns? There has been a symbiotic relationship between financial institutions and the artificial intelligence community since the 1980s. That's when the field of neural networks started in earnest. Although there was lots of activity, we can see in hindsight that neural networks did not reach their full potential owing to the lack of computational resources and lack of abundant data. [Caltech story]

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Caltech Charts the Course to a Green Electrical Grid


Caltech is working to transform energy systems by developing a "smart grid": a flexible, responsive, efficient, system that incorporates renewable energy sources while meeting growing power demands. "Engineering grand challenges are inspiring much of the research at Caltech, especially in the broad area of sustainability," says Harry Atwater, Otis Booth Leadership Chair, Division of Engineering and Applied Science; Howard Hughes Professor of Applied Physics and Materials Science; Director, Liquid Sunlight Alliance. [Caltech story]

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New Research "UNCOVERS" Hidden Objects in High Resolution


Imagine driving home after a long day at work. Suddenly, a car careens out of an obscured side street and turns right in front of you. Luckily, your autonomous car saw this vehicle long before it came within your line of sight and slowed to avoid a crash. This might seem like magic, but a novel technique developed in the laboratory of Changhuei Yang, Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering; Investigator, Heritage Medical Research Institute, could bring it closer to a reality. "We can see all the traffic on the crossroads with this method. This might help the cars to foresee the potential danger that one is not able to see directly." explains electrical engineering graduate student Ruizhi Cao. [Caltech story]

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New Optical Switch Could Lead to Ultrafast All-Optical Signal Processing


One of the major limitations of optics-based systems at present is that, at a certain point, they still need to have electronics-based transistors to efficiently process the data. Now, a team led by Alireza Marandi, assistant professor of electrical engineering and applied physics at Caltech, has created an all-optical switch. Such a switch could eventually enable data processing using photons. Device nanofabrication was performed at the Kavli Nanoscience Institute (KNI) at Caltech. [Caltech story]

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Azita Emami Appointed to DARPA’s MEC Group


The Defense Advanced Research Projects Agency (DARPA) has named Azita Emami to the Microsystems Exploratory Council (MEC) for a three-year term beginning this summer. Emami is Andrew and Peggy Cherng Professor of Electrical Engineering and Medical Engineering; Executive Officer for Electrical Engineering; and Director, Center for Sensing to Intelligence. MEC brings over 30 of the brightest scientists and engineers together to identify new areas of development in microsystems science and technology and to recommend future possible research directions. The MEC Group was established by DARPA in 2017 to support its technology offices and provide continuing and independent assessment of the state of advanced microsystem technology as it relates to the U.S. Department of Defense.

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