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]
Winners of the 2017 Demetriades - Tsafka - Kokkalis Prizes Announced
The student winners of the 2017 Demetriades - Tsafka - Kokkalis Prizes have been announced. Manuel Alejandro Monge Osorio received the prize in Biotechnology for his work with Professor Azita Emami which involves developing novel techniques for the miniaturization of implantable medical electronics in two important pillars: localization of medical devices and electrical stimulation. Pinaky Bhattacharyya was the recipient of the prize in Seismo-Engineering, Prediction, and Protection for his work with Professor Jim Beck investigating an information-theoretic approach to the problem of the optimal sensor placement for Bayesian system identification of structures using response time-history data. Bryan M. Hunter, working with Professor Harry Gray, received the prize in Environmentally Benign Renewable Energy Sources for his work on the development and characterization of a nickel-iron layered double hydroxide water oxidation catalyst with the goal of developing a solar-driven device for the synthesis of fuels, with hydrogen production as a target. The winner of the prize in Nanotechnology was Anupama Thubagere Jagadeesh whose research interests are focused on understanding the engineering principles behind designing and synthesizing programmable molecular machines.. Anupama’s graduate advisor was Professor Lulu Qian. The prize in Entrepreneurship was given to Ken Y. Chan who was advised by Professor Viviana Gradinaru. His research interests lie in developing tissue clearing technologies to render whole organs transparent for optical investigation..
Demetriades - Tsafka - Kokkalis Prizes
Manuel Alejandro Monge Osorio
Anupama Thubagere Jagadeesh
Ashwin Balakrishna Receives 2017 Henry Ford II Scholar Award
Electrical Engineering student Ashwin Balakrishna, advised by Professor Steven Low is a recipient of the 2017 Henry Ford II Scholar Award. He enjoys interdisciplinary research with a focus on intelligent systems. He has been using machine learning to improve sensor based systems in different contexts including medical diagnostics, electrical vehicle charging, and earthquake detection. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.
Henry Ford II Scholar Award
Alumna on Forbes' List of Leading Women in AI Research
Electrical Engineering alumna, Fei-Fei Li, who worked with Professor Pietro Perona has made Forbes’ list of 20+ leading women in Artificial Intelligence (AI) research. She is currently Chief Scientist of Artificial Intelligence & Machine Learning at Google Cloud. "We all have a responsibility to make sure everyone - including companies, governments and researchers - develop AI with diversity in mind,” Fei-Fei Li emphasized. [Forbes article]
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]