News & Events

06-23-22

Louise Schul, advised by John Doyle, Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and Bioengineering, is one of four recipients of the 2022 Henry Ford II Scholar Award. Louise is interested in multiple fields in electrical engineering, especially signal processing and optics. This summer, she will be working on a SURF project with Professor Alireza Marandi to improve a tunable laser source. After graduation, she plans to attend graduate school and eventually work in industry. 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.

Tags: EE honors Henry Ford II Scholar Award John Doyle Alireza Marandi Louise Schul

07-08-19

Electrical engineering student Ray Sun, advised by Professor John Doyle, is a recipient of the 2019 Henry Ford II Scholar Award. His varied research interests encompass the union of hardware and software with particular emphasis on the intersection of digital systems, robotics, control systems, and aerospace. 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.

Tags: EE honors Henry Ford II Scholar Award John Doyle Ray Sun

08-08-17

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

05-26-17

Postdoctoral Scholar Nikolai Matni and alumnus Yuh-Shyang Wang, working with Professor John Doyle, have received the Best Student Paper Award at the IEEE American Control Conference 2017 for the paper titled System level parameterizations, constraints and synthesis. [Read the paper]

Tags: EE CMS alumni John Doyle Nikolai Matni Yuh-Shyang Wang postdocs

07-13-16

John Doyle, Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and Bioengineering, and colleagues have received the ACM SIGCOMM Test of Time Paper Award for their paper, A first-principles approach to understanding the Internet's router-level topology. The award recognizes papers published 10 to 12 years in the past that is deemed to be an outstanding paper whose contents are still a vibrant and useful contribution today. [List of recipients]

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12-17-15

Caltech’s smart grid team led by Professors John Doyle, Steven Low, and Adam Wierman along with their collaborators have been awarded $3.9 million for an Advanced Research Projects Agency - Energy (ARPA-E) Network Optimized Distributed Energy System (NODES) project entitled "Real-time Optimization and Control of Next-Generation Distribution Infrastructure."  NODES is ARPA-E’s new program focused on enabling more than 50% usage of renewable power on the grid. The Caltech team will develop a comprehensive distribution network management framework that unifies real-time voltage and frequency control at the home/distributed energy resource controllers’ level with network-wide energy management at the utility/aggregator level. [Learn more]

Tags: EE energy CMS Adam Wierman John Doyle Steven Low

09-22-14

By combining heart rate data from real athletes with a branch of mathematics called control theory, John Doyle, Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and Bioengineering and colleagues have devised a way to better understand the relationship between reduced heart rate variability (HRV) and health.

"A familiar related problem is in driving," Doyle says. "To get to a destination despite varying weather and traffic conditions, any driver—even a robotic one—will change factors such as acceleration, braking, steering, and wipers. If these factors suddenly became frozen and unchangeable while the car was still moving, it would be a nearly certain predictor that a crash was imminent. Similarly, loss of heart rate variability predicts some kind of malfunction or 'crash,' often before there are any other indications," he says. [Caltech Release] [Read the Paper]

Tags: EE research highlights CMS John Doyle