News & Events


Award For Technical Clarity and Ease of Understanding


Animashree (Anima) Anandkumar, Bren Professor of Computing and Mathematical Sciences, and colleagues have won a Best Poster Award at the Neural Information Processing Systems (NIPS) MLtrain workshop. The submission was called “Tensor Regression Networks with TensorLy and MXNet” and the work showed that tensor contractions and regression layers are an effective replacement for fully connected layers in deep learning architectures. The MLtrain workshop focuses on making research more accessible through ipython notebooks and the submissions are judged based on the technical clarity and ease of understanding of the poster and the code. [View the poster]

Tags: honors CMS Animashree Anandkumar

Outstanding Undergraduate Researcher Award


Caltech senior Ching-Yun “Chloe” Hsu has won a 2018 Outstanding Undergraduate Researcher Award from the Computing Research Association (CRA). Her research interests are in theoretical computer science and the intersection of computer science and mathematics.  She learned about the “3SUM Conjecture” when she took a course in computational complexity theory in her freshman year and her subsequent research on that problem has led to important new results that were published in the 42ndInternational Symposium on Mathematical Foundations of Computer Science in 2017.  In addition, results of her research on the Discrete Fourier Transform were published in the Symposium on Discrete Algorithms in 2018.  She has served as teaching assistant for numerous courses and as an English to Chinese translator for Scientific American. [CRA bulletin]

Caltech senior Jacob (Jalex) Stark received an honorable mention form the CRA awards selection committee.

Tags: honors CMS Ching-Yun (Chloe) Hsu Jacob Stark

Best Poster Award At Neural Information Processing Systems Conference


CMS postdoctoral scholar Qi (Rose) Yu, working with Professor Anandkumar, and graduate student Stephan Zheng, working with Professor Yue, have won the Best Poster Presentation Award at the 2017 Neural Information Processing Systems (NIPS) Time Series Workshop. Dr. Yu works on the challenge of long-term forecasting in environments with nonlinear dynamics such as those involving climate and traffic data. She is tackling this challenge uses Tensor-Train RNN which are a novel family of neural sequence models that learn nonlinear dynamics directly using higher order moments and high-order state transition functions. [View her poster]

Tags: honors CMS Yisong Yue Animashree Anandkumar postdocs Qi (Rose) Yu Stephan Tao Zheng

Scientists Discover Unexpected Side Effect to Cleaning Up Urban Air


For decades, efforts to reduce air pollution have led to cleaner air in U.S cities like Los Angeles, with subsequent improvements in public health. Those efforts have targeted both nitric oxides and hydrocarbons. Hydrocarbons are emitted from many sources including gasoline-powered cars, trucks, solvents, cleaners used both at home and in industrial settings, and even trees.  Professor Paul O. Wennberg and colleagues have found that there is another chemical pathway for forming organic hydroperoxides—one that occurs at nitric oxide levels substantially higher than can be found in the atmosphere over unpopulated regions. "This is chemistry that does not exist in any of the models of how nitric oxide and hydrocarbons interact," says Professor Wennberg. [Caltech story]

Tags: research highlights ESE Paul Wennberg

Two Holograms in One Surface


Andrei Faraon, Assistant Professor of Applied Physics and Materials Science, graduate student Seyedeh Mahsa Kamali, and colleagues have figured out a way to encode more than one holographic image in a single surface without any loss of resolution. The team developed silicon oxide and aluminum surfaces studded with tens of millions of tiny silicon posts, each just hundreds of nanometers tall. Each nanopost reflects light differently due to variations in its shape and size, and based on the angle of incoming light. [Caltech story]

Tags: research highlights Andrei Faraon APh Seyedeh Mahsa Kamali

AWS and Caltech Partner to Accelerate AI and Machine Learning


From autonomous robotics to state of-the-art computer vision, Caltech and Amazon have a lot in common, including the belief that pushing the boundaries of artificial intelligence (AI) and machine learning (ML) will not only disrupt industries, but it will fundamentally change the nature of scientific research. As part of this two-year renewable research collaboration, Amazon will provide both financial support, in the form of funding for graduate fellowships, and computing resources, in the form of AWS Cloud credits, to accelerate the work of faculty and students at Caltech in these areas. [AWS AI Blog]

Tags: CMS Adam Wierman Pietro Perona Joel Tropp Yisong Yue Aaron Ames Animashree Anandkumar

Joel (J.N.) Franklin Passes Away


Joel (J.N.) Franklin, Professor of Applied Mathematics, Emeritus, passed away on November 18, 2017 at the age of 87. Professor Franklin joined Caltech in 1957 and worked closely with Gilbert McCann, professor of applied science, who was one of the early champions of computing at Caltech (and inventor of an analog computer in 1946). Professor Dan Meiron recalls, "Joel excelled as a scholar and researcher … if any of us in applied math—and the Institute in general—had any questions about matrix theory, linear programming, etc. we could consult with Joel and he always pointed us to the relevant results often connected to work he had done in the past." [Caltech story]

Tags: GALCIT EAS history CMS Dan Meiron Joel (J.N.) Franklin

Professor Hoffmann Elected to Chinese Academy of Engineering


Michael R. Hoffmann, Theodore Y. Wu Professor of Environmental Science, has been elected to the Chinese Academy of Engineering (CAE). Professor Hoffman was one of 18 foreign experts, including Microsoft founder Bill Gates, who were inducted into the CAE which is the foremost engineering academy in China. [CAE announcement]

Tags: honors ESE Michael Hoffmann

Engineers Model the California Reservoir Network


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

The Microscopic Origin of Efficiency Droop in LEDs


Marco Bernardi, Assistant Professor of Applied Physics and Materials Science, and his colleagues’ semiconductor research has shown that the coupling between electrons and thermal vibrations may be sapping energy from Light-emitting diodes—or LEDs. "Our work shows for the first time that the ever-present interaction between electrons with lattice vibrations can, by itself, explain why excited electrons can leak out of the active layer and account for inefficiencies in GaN LEDs," Professor Bernardi says. [Caltech story]

Tags: APhMS research highlights Marco Bernardi