News & Events


New Microchip Technology Could Be Used to Track Smart Pills


Azita Emami, Andrew and Peggy Cherng Professor of Electrical Engineering and Medical Engineering; Investigator, Heritage Medical Research Institute; and EAS Division Deputy Chair, along with her colleagues including Professor Mikhail Shapiro have developed microscale devices that relay their location in the body. "We wanted to make this chip very small with low power consumption, and that comes with a lot of engineering challenges," says Professor Emami. "We had to carefully balance the size of the device with how much power it consumes and how well its location can be pinpointed." [Caltech story]

Tags: EE research highlights MedE Azita Emami Mikhail Shapiro

Deep Learning Networks and Sensorimotor Control


Professor John Doyle and colleagues are among only nineteen groups in the United States to receive National Science Foundation (NSF) funding to conduct innovative research focused on neural and cognitive systems. They aim is to integrate the capabilities of deep learning networks into a biologically inspired architecture for sensorimotor control that can be used to design more robust platforms for complex engineered systems. [NSF release]

Tags: EE research highlights CMS John Doyle

Creature-Cataloging Contest for Computers


Caltech and Cornell teamed up to create the iNaturalist Challenge, a competition to create the best machine-learning algorithm for identifying the world's plant and animal species. The contest was an outgrowth of the institutions' previous work together on Visipedia, a visual encyclopedia created by a network of people and machine-learning computers that harvest image information off the internet. The technology was developed for the encyclopedia by Pietro Perona's Vision Group at Caltech and Serge Belongie's Computer Vision Group at Cornell Tech. [Caltech story]

Tags: EE research highlights CMS Pietro Perona

Ultra-Thin Camera Creates Images Without Lenses


Professor Ali Hajimiri and colleagues have developed a new camera design that replaces the lenses with an ultra-thin optical phased array (OPA). The OPA does computationally what lenses do using large pieces of glass: it manipulates incoming light to capture an image. "Here, like most other things in life, timing is everything. With our new system, you can selectively look in a desired direction and at a very small part of the picture in front of you at any given time, by controlling the timing with femto-second—quadrillionth of a second—precision," says Professor Hajimiri. [Caltech story] [ENGenious silicon photonics feature]

Tags: EE research highlights MedE Ali Hajimiri

Cutting Down on Cancer Surgeries


Engineers at the Optical Imaging Laboratory led by Professor Lihong Wang have developed an imaging technology that could help surgeons removing breast cancer lumps confirm that they have cut out the entire tumor—reducing the need for additional surgeries. “What if we could get rid of the waiting? With 3D photoacoustic microscopy, we could analyze the tumor right in the operating room, and know immediately whether more tissue needs to be removed,” Professor Wang explains. [Caltech story]

Tags: EE research highlights MedE Lihong Wang

Laser-Induced Sound Waves Provide Live Panoramic Views of Tissue Functions


Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, and colleagues are now able to take a live look at the inner workings of a small animal with enough resolution to see active organs, flowing blood, circulating melanoma cells, and firing neural networks. "Photoacoustic tomography combines light and sound synergistically for high-resolution imaging of molecular contrast," says Professor Wang. [Caltech story] [Read the paper]

Tags: EE research highlights MedE Lihong Wang

Black Silicon Prevents Eye Implant from Gumming Up


Hyuck Choo, Assistant Professor of Electrical Engineering; Investigator, Heritage Medical Research Institute, and colleagues have developed an eye implant for glaucoma patients that could one day lead to more timely and effective treatment. Professor Choo has developed a passive system that eschews electronics and so needs no batteries and has no antennae. At just 600–800 micrometers in diameter, the sensor is the width of a few strands of hair. [Caltech story]

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Seeing Deeper: An Interview with Lihong Wang


Using a combination of light and sound, Professor Lihong Wang is noninvasively peering deeper inside biological tissues than previously possible. His team uses three-dimensional photoacoustic microscopy and functional photoacoustic computed tomography to generate detailed color images of tumors and other structures inside the body. [Interview with Prof. Wang]

Tags: EE research highlights MedE Lihong Wang

A Birder in the Hand: Mobile Phone App Can Recognize Birds From Photos


Pietro Perona, Allen E. Puckett Professor of Electrical Engineering, and colleagues have developed the Merlin Bird Photo ID mobile app which uses machine-learning technology to identify hundreds of North American bird species it "sees" in photos. "This app is the culmination of seven years of our students' hard work and is propelled by the tremendous progress that computer-vision and machine-learning scientists are making around the world," says Professor Perona. "A machine that recognizes objects in images, like humans do, was a distant dream when I was a graduate student and now it's finally happening." [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, “Two-Dimensional Sparse Arrays with Hole-Free Coarray and Reduced Mutual Coupling". The prize was presented to him at the 50th Asilomar Conference on Signals, Systems, and Computers. [Read the paper]

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