News & Events


Noise-Canceling Optics


Changhuei Yang, Professor of Electrical Engineering, Bioengineering, and Medical Engineering, and colleagues have created the visual analogue of noise-canceling headphones—a camera system that can obtain images of objects obscured by murky media, such as fog or clouds, by canceling out the glare. Their device selectively cancels the scattered light, leaving only the light that is reflected or bounced off the objects and has slipped back through the murk unmolested. [Caltech story]

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Graduate Student Wins Best Paper Prize


Electrical Engineering graduate student Chun-Lin Liu, working with Professor Vaidyanathan, has received the best paper prize for his paper entitle, “High Order Super Nested Arrays". The prize was presented to him at the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop. [Read the paper]

Tags: EE honors research highlights P. P. Vaidyanathan Chun-Lin Liu

Counting L.A.’s Trees


Professor Pietro Perona, has developed a method using Google Earth and Google Street View to count the trees in the city of Los Angeles. The process of counting the trees using human tree counters is very expensive and would cost about $3 million today. The last time the city did such counting was more than two decades ago and at the time there were 700,000 street trees. Perona has tested the methodology in a section of Pasadena where the city recently commissioned a sidewalk survey. By comparing the results to the known inventory, he determined that the computer was about 80% accurate. [LA Times story] [KPCC story]

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Smaller Chips May Depend on Vacuum Tube Technology


A recent New York Times article featured Caltech alumnus, Gordon Moore (PhD ’54), and the research of Professor Axel Scherer on ultrasmall vacuum tube as a candidate to replace the transistor. [Read the article]

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Caltech’s Smart Charging Network for Electrical Vehicles


Charging electric vehicles (EVs) can require a substantial amount of electricity (most EVs charge at 7 kilowatts, the equivalent of simultaneously running 70 desktop computers). Steven Low, Professor of Computer Science and Electrical Engineering, has developed Caltech's adaptive charging network, which uses a smart algorithm to coordinate the charging schedule with the Institute's existing electrical infrastructure. This program helps minimize energy usage and about 30 percent of the electricity at each charging station is from carbon-free renewable sources. [Caltech story]

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Graduate Student Wins Best Paper Prize at Flagship Signal Processing Conference


Electrical Engineering graduate student Chun-Lin Liu, working with Professor Vaidyanathan, has received the best paper prize for his paper entitle, “Super-nested arrays: sparse arrays with less mutual coupling than nested arrays". The prize was presented to him at the flagship signal processing conference, the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), attended by over 2000 people. [Read the paper]

Tags: EE honors research highlights P. P. Vaidyanathan Digital Signal Processing Chun-Lin Liu

Toward a Smarter Grid


The power network of the future—also known as the smart grid—will have to be much more dynamic and responsive than the current electric grid, handling tremendous loads while incorporating intermittent energy production from renewable resources such as wind and solar, all while ensuring that when you or I flip a switch at home or work, the power still comes on without fail. An interdisciplinary group of engineers, economists, mathematicians, and computer scientists, including Professors Steven Low and Adam Wierman are working to develop the devices, systems, theories, and algorithms to help guide this historic transformation and make sure that it is properly managed. [Caltech feature]

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Space Solar Power Initiative


Caltech and Northrop Grumman Corporation have signed a $17.5 million sponsored research agreement for the development of the Space Solar Power Initiative (SSPI). The initiative will develop technologies in three areas: high-efficiency ultralight photovoltaics; ultralight deployable space structures; and phased array and power transmission. "The Space Solar Power Initiative brings together electrical engineers, applied physicists, and aerospace engineers in the type of profound interdisciplinary collaboration that is seamlessly enhanced at a small place like Caltech... We are working on extremely difficult problems that could eventually provide the world with new, and very cost-competitive technology for sustainable energy,” said EAS Chair Ares Rosakis. [Caltech story] [Northrop Grumman Release]

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Ali Hajimiri's New Camera Chip Provides Superfine 3-D Resolution


To make an exact copy of an object with a 3-D printer, you must first produce a high-resolution scan of the object with a 3-D camera that measures its height, width, and depth. The most sensitive systems generally are too large and expensive to be used in consumer applications. Ali Hajimiri, Thomas G. Myers Professor of Electrical Engineering, has created a new device called a nanophotonic coherent imager (NCI) that is an inexpensive silicon chip less than a millimeter. The NCI provides the highest depth-measurement accuracy of any such nanophotonic 3-D imaging device. 3-D imaging may be a possible feature in future smartphones. [Caltech story]

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Professor Bruck Receives IEEE Data Storage Best Paper Award


Jehoshua Bruck, Gordon and Betty Moore Professor of Computation and Neural Systems and Electrical Engineering, and colleagues' paper entitled “Zigzag Codes: MDS Array Codes With Optimal Rebuilding” has received the 2013 best paper award from the Data Storage Technical Committee of the Institute of Electrical and Electronics Engineers (IEEE). The award recognizes a paper that has substantial and meaningful impact on both the theory and the practice of the existing or future data storage systems, or on emerging storage technologies that are gaining momentum. By giving these awards, the committee also motivates researchers to continue to make great original contributions to the field of data storage.

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