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Building the Artificially Intelligent Future

09-01-17

This fall, three graduate students will enter Caltech as Kortschak Scholars in Computing and Mathematical Sciences. They are the first students in the Kortschak Scholars program, a newly established endowment for incoming PhD students in computer science at Caltech. “We are grateful to the Kortschaks for their vision and generous support enabling our students to identify the research areas where their passion could have the biggest impact. The Kortschak Scholars will be attracted to Caltech by the opportunity to work at the leading edges of computing and mathematical sciences to invent the technologies of the future,” said EAS Chair G. Ravichandran. [Breakthrough story]

Tags: CMS Guruswami Ravichandran alumni Walter Kortschak

Training a Machine to Watch Soccer

08-25-17

Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, and colleagues have developed an algorithm that can automatically recognize formations of teams—how they arrange themselves on the field—when analyzing player tracking data. The algorithm can also imitate players' behavior. "We're training the algorithm to understand soccer at the same level that a fan would. It's not just mindlessly watching faceless players move across a field; it's watching strikers and right midfielders and forwards arrange themselves in specific formations," says Professor Yue. [Caltech story]

Tags: research highlights CMS Yisong Yue

Visualizing the Complex Behavior of Vortices Surrounding Hummingbird Wings

08-11-17

Peter Schröder, the Shaler Arthur Hanisch Professor of Computer Science and Applied and Computational Mathematics, and his team have built a computational algorithm to model the behavior of vortices—rotating regions of fluids that form phenomena such as tornados or whirlpools. [Caltech story]

Tags: research highlights CMS Peter Schröder

Deep Learning Networks and Sensorimotor Control

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

Creature-Cataloging Contest for Computers

08-02-17

Caltech and Cornell teamed up to create the iNaturalist Challenge, a competition to create the best machine-learning algorithm for identifying the world's plant and animal species. The contest was an outgrowth of the institutions' previous work together on Visipedia, a visual encyclopedia created by a network of people and machine-learning computers that harvest image information off the internet. The technology was developed for the encyclopedia by Pietro Perona's Vision Group at Caltech and Serge Belongie's Computer Vision Group at Cornell Tech. [Caltech story]

Tags: EE research highlights CMS Pietro Perona

Neural Networks Model Audience Reactions to Movies

07-21-17

Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, and colleagues have created a new deep-learning software capable of assessing complex audience reactions to movies using the viewer's facial expressions. "Understanding human behavior is fundamental to developing AI [artificial intelligence] systems that exhibit greater behavioral and social intelligence. For example, developing AI systems to assist in monitoring and caring for the elderly relies on being able to pick up cues from their body language. After all, people don't always explicitly say that they are unhappy or have some problem," Professor Yue says. [Caltech story]

Tags: research highlights CMS Yisong Yue

Professor Ames Receives 2017 Okawa Foundation Research Grant

07-06-17

Aaron Ames, Bren Professor of Mechanical and Civil Engineering and Control and Dynamical Systems, is a recipient of a 2017 Okawa Foundation Research Grant for his research project entitled "Safety-Critical Autonomy in Robotic Locomotion". This prize honors top young researchers working in the fields of information and telecommunications.

Tags: honors MCE CMS Aaron Ames

2017 ASCIT Teaching Award

06-23-17

Adam Wierman, Professor of Computing and Mathematical Sciences; Executive Officer for Computing and Mathematical Sciences; Director, Information Science and Technology, has been chosen by the Associated Students of the California Institute of Technology (ASCIT) to receive a 2017 ASCIT Teaching Awards. These awards recognize individuals who inspire and motivate students, are approachable, and present course material effectively and efficiently. [Caltech story]

Tags: honors CMS Adam Wierman

Zhao Wins Charles Wilts Prize

06-07-17

Changhong Zhao, advised by Professor Steven Low is a winner of this year’s Charles Wilts Prize, for his doctoral thesis "Real-Time Load-Side Control of Electric Power Systems." The Charles Wilts Prize is awarded every year to a graduate student in Electrical Engineering for outstanding independent research.

Tags: EE honors CMS Wilts Prize Steven Low Changhong Zhao

Winners of the 2017 Demetriades - Tsafka - Kokkalis Prizes Announced

06-07-17

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..

Tags: EE honors MedE MCE CMS Demetriades - Tsafka - Kokkalis Prizes James Beck Lulu Qian Harry Gray Azita Emami Manuel Alejandro Monge Osorio Pinaky Bhattacharyya Bryan Hunter Ken Chan Viviana Gradinaru Anupama Thubagere Jagadeesh