News

Professors Barr and Schröder Elected to ACM SIGGRAPH Academy

10-05-18

Alan Barr, Professor of Computer Science, and Peter Schröder, Shaler Arthur Hanisch Professor of Computer Science and Applied and Computational Mathematics, have been elected to the first class of the ACM SIGGRAPH Academy. Professor Barr was selected for his contributions to graphics, primarily for extending computer graphics shape modeling to include physically based and teleological modeling. Professor Schröder was recognized for his pioneering work in geometry processing and multiresolution modeling. The ACM SIGGRAPH Academy is an honorary group of individuals who have made substantial contributions to the field of computer graphics and interactive techniques. These are principal leaders of the field, whose efforts have shaped the disciplines and/or industry, and led the research and/or innovation in computer graphics and interactive techniques. [Full list of academy members]

Tags: honors research highlights CMS Peter Schröder Alan Barr

Caltech and Disney Engineers Collaborate on Robotics

01-18-18

Caltech and Disney Research have entered into a joint research agreement to pioneer robotic control systems and further explore artificial intelligence technologies. Pietro Perona will work with Disney roboticist Martin Buehler to create navigation and perception software that could allow robotic characters to safely move through dense crowds and interact with people. Aaron Ames will work with Disney Research's Lanny Smoot to further explore robot autonomy and machine learning by creating objects that can self-navigate and perform stunts. Yisong Yue has been working with engineers from Disney Research on the use of machine learning to analyze the behavior of soccer players and to measure audience engagement. [Caltech story]

Tags: EE research highlights MCE CMS Pietro Perona Yisong Yue Aaron Ames

Engineers Model the California Reservoir Network

11-22-17

Professor Venkat Chandrasekaran and graduate student Armeen Taeb have developed an empirical statewide model of the California reservoir network. This work offers reservoir managers insight on how to plan and respond to drought conditions. "The bread and butter of hydrology is using physical laws to describe water phenomena. But the behavior of these reservoirs is not solely determined by physical laws of the water cycle, but also by demands and what these reservoirs are being used for," Taeb explains. [Caltech story]

Tags: EE research highlights CMS Venkat Chandrasekaran Armeen Taeb

Professor Desbrun Interviews Pixar President and Pixar Animation Senior Scientist

10-27-17

Listen to Professor Mathieu Desbrun’s conversation about the history and future of computer graphics research with Ed Catmull (co-founder, Pixar Animation Studios; president, Pixar and Walt Disney Animation Studios) and Tony DeRose (senior scientist, Pixar Animation Studios). [SIGGRAPH Spotlight: Episode 6]

Tags: research highlights CMS Mathieu Desbrun

Teaching Machines How to Learn

10-24-17

Animashree (Anima) Anandkumar, Bren Professor of Computing and Mathematical Sciences, develops efficient techniques to speed up optimization algorithms that underpin machine-learning systems. Speaking about the connections between industry and academia she explains,“bridging the gap between industry and academia is really important. It is a big part of what brought me to Caltech. The sooner we can take theory and deploy it practically, the faster innovation moves and the more impact it can have.” [Interview with Professor Anandkumar]

Tags: research highlights CMS Animashree Anandkumar

Sorting Molecules with DNA Robots

09-14-17

Lulu Qian, Assistant Professor of Bioengineering, and colleagues have developed a "robot," made of a single strand of DNA, that can autonomously "walk" around a surface, pick up certain molecules and drop them off in designated locations. [Caltech story]

Tags: research highlights CMS Lulu Qian

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