News & Events

05-21-19

Computer science junior Rona Yu has embarked on a yearlong project to answer the question: “What should the nation be doing, right now, to draft a privacy regulation?" She has written a paper that covers the points that new privacy legislation should be prioritizing, as well as the potential unintended consequences of the legislation that has been proposed. She is also preparing a document describing her findings that I will submit to the Federal Trade Commission. [Caltech story]

Tags: CMS alumni Rona Yu

05-13-19

Robert J. McEliece (BS '64, PhD '67), Caltech alumnus and Allen E. Puckett Professor and Professor of Electrical Engineering, Emeritus, passed away on May 8, 2019 at the age of 76. "Bob McEliece was renowned for his contributions to a wide range of problems in information transmission and storage," said EAS Chair Ravichandran. "His contributions are drivers for numerous applications in modern communications. He was an outstanding researcher and a beloved and inspiring teacher, mentor, and colleague." [Caltech story]

Tags: EE EAS history alumni Robert McEliece

03-15-19

On Tuesday Milikan Pond was transformed into an aquatic arena where amphibious robots duked it out in Caltech's annual ME72 design competition. The competition serves as the final exam for the ME72 Engineering Design Laboratory course, which is taught by Michael Mello (PhD '12). The event challenged four student teams to build three robots each. The robots had to be capable of traversing both land and water and collecting floating balls. [Caltech story & videos]

Tags: MCE alumni ME 72 Michael Mello

03-13-19

Professor Pietro Perona along with Caltech alumni David Hall and Steve Branson have won the 2018 U. V. Helava Best Paper Award from the ISPRS Journal of Photogrammetry and Remote Sensing. Their paper “From Google Maps to a fine-grained catalog of street trees” was selected for the award. The jury described the work in the paper as “innovative, and applicable for large areas of tree classification and inventories. The developed methodology would affect practices of urban tree management globally.” [Read the paper]

Tags: EE honors Pietro Perona alumni postdocs David Hall Steve Branson

03-06-19

Kavya Sreedhar, a senior double majoring in electrical engineering and business, economics, and management, has been named to this year's class of Knight-Hennessy Scholars, a graduate-level scholarship program founded by Stanford University. The program aims to develop a community of future global leaders to address complex challenges through collaboration and innovation. Sreedhar will receive a scholarship providing full tuition, room and board, and a living stipend while she pursues a PhD in electrical engineering. Her graduate work will be focused on circuits and hardware research for machine learning and artificial intelligence applications. She is joined by 67 other students chosen from a pool of 4,424 applicants for the program's 2019 cohort. [Caltech story]

Tags: EE honors alumni Kavya Sreedhar

03-01-19

Caltech has recognized alumnus William Dally (PhD ’86, Computer Science) with the Distinguished Alumni Award, the highest honor regularly bestowed by the Institute. Dally was recognized “for his significant contributions to the architecture of interconnection networks. He developed much of the technology found in modern interconnection networks including wormhole routing, virtual-channel flow control, global adaptive routing, modern network topology, deadlock analysis, performance analysis, fault-tolerance methods, and equalized high-speed signaling.” [Caltech story] [Distinguished Lecture at Caltech]

Tags: EE honors CMS alumni William Dally

12-18-18

In a recent Techer interview Electrical Engineering alumna Fei-Fei Li (PhD ’05) explains, “As we see artificial intelligence impacting the real world, it’s no longer a niche computer science, technical field. Policymakers, business leaders, educators, social scientists—they all need to take part and guide the future of A.I.” [Check out the full interview]

Tags: EE CMS alumni Fei-Fei Li

12-07-18

Caltech has awarded the inaugural Milton and Rosalind Chang Career Exploration Prize to EAS undergraduate alumnus, Sean McKenna (BS ’17, ACM) for his proposed project “Exploring Ways to Tackle California’s Housing Crisis.” McKenna plans to spend the next year connecting with residents, housing developers, homeless shelters, technology innovators, and policymakers in California and Washington, DC to learn more about the roots of the housing crisis. He is grateful for the “incredible amount of freedom" the Chang Prize will give him "to figure out how the skills and passions I developed at Caltech might translate into making a difference in the housing crisis, a problem that is very real for me, other Techers, and all residents of California.” 

Tags: honors CMS alumni Sean McKenna

11-27-18

Fei Chen (BS ’11 EE) is on the 2019 Forbes 30 Under 30 list for “building better microscopy technologies … that could help explain how complex tissues like the brain, made of a large collection of diverse cell types, are organized.” As an Electrical Engineering undergraduate student at Caltech Fei Chen was an Axline Merit Scholar for his outstanding record of personal and academic accomplishments. Currently he is a Principal Investigator at the Broad Institute, Harvard-MIT. [Forbes 30 Under 30 Full List]

Tags: EE honors alumni Fei Chen

11-19-18

Alumnus Yong Sheng Soh (PhD ’18, ACM), advised by Professor Venkat Chandrasekaran, has won the 2018 INFORMS Optimization Society Student Prize for his paper entitled Learning Semidefinite-Representable Regularizers. Regularization-based algorithms are widely used in the solution of data-driven inverse problems arising in statistics, operations research, signal processing, and machine learning. These approaches typically require a great deal of prior domain-specific expertise about the structure of the underlying problem. Such expertise is especially challenging to obtain in the modern era of 'Big Data' in which our ability to sense all manner of phenomena and produce massive datasets far exceeds our ability to understand the underlying mechanisms governing the phenomena. In his award-winning work, which has been accepted for publication at the Journal of the Foundations of Computational Mathematics, Yong Sheng has developed a new framework for learning suitable regularization methods directly from data rather from human-provided expertise. [INFORMS Optimization Society Award] [Read the paper]

Tags: honors CMS alumni Venkat Chandrasekaran Yong Sheng Soh