"Neural Lander" Uses AI to Land Drones Smoothly
05-23-19
Professors Chung, Anandkumar, and Yue have teamed up to develop a system that uses a deep neural network to help autonomous drones "learn" how to land more safely and quickly, while gobbling up less power. The system they have created, dubbed the "Neural Lander," is a learning-based controller that tracks the position and speed of the drone, and modifies its landing trajectory and rotor speed accordingly to achieve the smoothest possible landing. The new system could prove crucial to projects currently under development at CAST, including an autonomous medical transport that could land in difficult-to-reach locations (such as a gridlocked traffic). "The importance of being able to land swiftly and smoothly when transporting an injured individual cannot be overstated," says Professor Gharib who is the director of CAST; and one of the lead researchers of the air ambulance project. [Caltech story]
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Morteza Gharib
Yisong Yue
Soon-Jo Chung
Animashree Anandkumar
Lasers Aim to Replace Scalpels in Cutting-Edge Biopsy Technique
05-16-19
Professor Lihong Wang and Postdoctoral Scholar Dr. Junhui Shi have developed a new imaging technique that uses pulses from two kinds of lasers to take pictures of microscopic biological structures. This new approach, called ultraviolet-localized mid-infrared photoacoustic microscopy, or ULM-PAM, develops images of the microscopic structures found in a piece of tissue by bombarding the sample with both infrared and ultraviolet laser light. "Because ultraviolet light and infrared have different properties, we had to find special mirrors and glass that could focus both," Dr. Shi says. "And because no camera exists that can see both, we had to develop ways to see if they were correctly focused." [Caltech story]
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Lihong Wang
postdocs
Junhui Shi
Laser Technology Helps Researchers Scrutinize Cancer Cells
04-01-19
Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, and colleagues are using photoacoustic microscopy (PAM) to improve on an existing technology for measuring the oxygen-consumption rate (OCR). This new method allows the researchers to determine how oxygenated a sample of blood is by "listening" to the sound it makes when illuminated by the laser. Professor Wang calls this single-cell metabolic photoacoustic microscopy, or SCM-PAM. [Caltech story]
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Lihong Wang
Ali Hajimiri Wins Feynman Prize for Excellence in Teaching
02-14-19
Ali Hajimiri, Bren Professor of Electrical Engineering and Medical Engineering; Co-Director, Space-Based Solar Power Project, has won the 2019 Feynman Prize for Excellence in Teaching. Caltech's most prestigious teaching honor, the prize was established in 1993 "to honor annually a professor who demonstrates, in the broadest sense, unusual ability, creativity, and innovation in undergraduate and graduate classroom or laboratory teaching." [Caltech story]
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Ali Hajimiri
The Possibilities are Mote and Remote
08-17-18
Professor Azita Emami’s work in high-speed data communications has led to a breakthrough that could spare millions of people the need to prick themselves with needles. As she engineers a more connected world, she also is working to make it a healthier one. Professor Emami doesn’t draw a line between the different endeavors. “Electronic systems for cell phones and computers are very, very advanced,” she explains. “So why not take the knowledge we have gained developing those technologies and find ways to apply it toward solutions in medicine?” [Breakthrough story]
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Azita Emami
