Machine Learning Helps Robot Swarms Coordinate


Soon-Jo Chung, Bren Professor of Aerospace, Yisong Yue, Professor of Computing and Mathematical Sciences, postdoctoral scholar Wolfgang Hönig, and graduate students Benjamin Rivière and Guanya Shi, have designed a new data-driven method to control the movement of multiple robots through cluttered, unmapped spaces, so they do not run into one another. "Our work shows some promising results to overcome the safety, robustness, and scalability issues of conventional black-box artificial intelligence (AI) approaches for swarm motion planning with GLAS and close-proximity control for multiple drones using Neural-Swarm," says Chung. [Caltech story]

Tags: research highlights GALCIT CMS Yisong Yue Soon-Jo Chung postdocs Benjamin Rivière Guanya Shi Wolfgang Hönig

Anandkumar Training Algorithms to Spot Online Trolls


Professor Anima Anandkumar, and research team have demonstrated that machine-learning algorithms can monitor online social media conversations as they evolve, which could one day lead to an effective and automated way to spot online trolling. "It was an eye-opening experience about just how ugly trolling can get. Hopefully, the tools we're developing now will help fight all kinds of harassment in the future," says Anandkumar. The research team includes Professor Michael Alvarez; Anqi Liu, postdoctoral scholar; Maya Srikanth, student; and Nicholas Adams-Cohen, Stanford University. [Caltech story]

Tags: research highlights CMS Animashree Anandkumar postdocs Anqi Liu Maya Srikanth

President Rosenbaum Highlights Postdocs as "Unsung Heroes"


In a letter to the Caltech community during National Postdoc Appreciation Week, the Caltech President emphasizes the role this key group plays at the Institute. He stated, “Caltech's mission of world-leading research and education depends crucially on our postdoctoral scholars. Although their time at Caltech may be short, they quickly become vital parts of the Institute's intellectual fabric.” [President’s Letter] [EAS Postdoc Resource Page]

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Professor Hou Receives SIAM Outstanding Paper Prize


Yizhao T. (Thomas) Hou, Charles Lee Powell Professor of Applied and Computational Mathematics, and his former postdoc Dr. Guo Luo are recipients of the Society for Industrial and Applied Mathematics (SIAM) 2018 Outstanding Paper Prize for their paper entitled Toward the Finite-Time Blowup of the 3D Axisymmetric Euler Equations: A Numerical Investigation. The prizes are given for outstanding papers published in SIAM journals during the three years prior to the year of the award. [Read the paper]

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Pushing Machine-learning Technology: Creature-Cataloging Contest for Computers


Graduate student Grant Van Horn and postdoctoral scholars Oisin Mac Aodha, working with Professor Pietro Perona, started the iNaturalist Challenge last year, to see how much they could push machine-learning technology. The competition is now in its second year and the dataset contains over 8,000 species, with a combined training and validation set of 450,000 images that have been collected and verified by multiple users from iNaturalist. This year's competition promise to be much more challenging because there are more species and less examples for the computer to learn from. The top submissions will be invited to give talks at  CVPR, which is the premier annual computer vision event. [Enter the competition]

Tags: EE CMS Pietro Perona postdocs Grant Van Horn Oisin Mac Aodha

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

IEEE American Control Conference Best Student Paper Award


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 entitled System level parameterizations, constraints and synthesis. [Read the paper]

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Best Paper At Conference on Uncertainty in Artificial Intelligence


Leonard J. Schulman, Professor of Computer Science, and postdoctoral scholar Piyush Srivastava have won the best paper award at the 2016 Conference on Uncertainty in Artificial Intelligence for their paper, Stability of Causal Inference. [Read the paper]

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Computer Scientists Assist with Conservation Planning


Postdoctoral Scholar Daniel R. Golovin and colleagues including Professor Andreas Krause have won the Outstanding Paper Award in the Computational Sustainability and Artificial Intelligence Track at the 2011 Association for the Advancement of Artificial Intelligence (AAAI) Conference  for their paper entitled Dynamic Resource Allocation in Conservation Planning. The paper was selected from 975 submissions.  It addresses how computer science (in particular machine learning and adaptive optimization) can help conservation planning, by making recommendations about how to best protect rare species. [Read the paper]

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Best Paper Finalist in Robotics


Marin Kobilarov, a W. M. Keck Institute for Space Studies Postdoctoral Fellow, was a finalist for the best paper award in the 2011 Robotics: Science and Systems Conference - his paper is entitled Cross-Entropy Randomized Motion Planning .  The conference committee solicited original papers in all areas of robotics and followed a highly selective review process designed to select the best work of its kind in every category. Dr. Kobilarov is working on discrete geometric motion control of autonomous vehicles with Professors Mathieu Desbrun and Sergio Pelligrino.  [Read the paper]

Tags: honors GALCIT CMS Mathieu Desbrun Marin Kobilarov Sergio Pelligrino KISS postdocs