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]
Professor Emami to Speak at NAE Frontiers of Engineering Symposium
Azita Emami, Andrew and Peggy Cherng Professor of Electrical Engineering and Medical Engineering; Investigator, Heritage Medical Research Institute; and EAS Division Deputy Chair, has been selected as a speaker for the National Academy of Engineering’s (NAE) 23rd annual U.S. Frontiers of Engineering (USFOE) symposium. The symposium will cover cutting-edge developments in four areas: Mega-Tall Buildings and Other Future Places of Work, Unraveling the Complexity of the Brain, Energy Strategies to Power Our Future, and Machines That Teach Themselves. The mission of the NAE is to advance the well-being of the nation by promoting a vibrant engineering profession and by marshalling the expertise and insights of eminent engineers to provide independent advice to the federal government on matters involving engineering and technology. [NAE Press Release]
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