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Richard Murray Named to DOD Panel on Innovation

07-28-16

Richard M. Murray, Thomas E. and Doris Everhart Professor of Control and Dynamical Systems and Bioengineering, has been named to the Defense Innovation Advisory Board by Secretary of Defense Ash Carter. Professor Murray joins 14 other scholars and innovators who will focus on new technologies and organizational behavior and culture. Secretary Carter has asked them to identify technology and practices from the private sector that could be used by the Department of Defense (DOD). [Caltech story]

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Professor Schroeder Receives Award for Best Paper in Geometry Processing

07-15-16

Peter Schroeder, Shaler Arthur Hanisch Professor of Computer Science and Applied and Computational Mathematics, and colleagues have received the best paper award at the 2016 Symposium on Geometry Processing for their paper entitled, Splines in the Space of Shells. [Read the paper]

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Professor Doyle Receives Test of Time Paper Award

07-13-16

John Doyle, Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and Bioengineering, and colleagues have received the ACM SIGCOMM Test of Time Paper Award for their paper, A first-principles approach to understanding the Internet's router-level topology. The award recognizes papers published 10 to 12 years in the past that is deemed to be an outstanding paper whose contents are still a vibrant and useful contribution today. [List of recipients]

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Professor Murray Receives IEEE Control Systems Award

07-05-16

Richard M. Murray, Thomas E. and Doris Everhart Professor of Control and Dynamical Systems and Bioengineering, is the recipient of the 2017 IEEE Control Systems Award, for outstanding contributions to control systems engineering, science, or technology. Professor Murray is receiving the award, “for contributions to the theory and applications of nonlinear and networked control systems." [List of award recipients]

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Best Paper Award at Symposium on Geometry Processing

06-30-16

Professor Mathieu Desbrun and colleagues’ paper, Symmetry and Orbit Detection via Lie-Algebra Voting, has won the best paper award at the Symposium on Geometry Processing. The award is giving by the Geometry Processing community to authors of seminal papers. The aim is to feature the scientific highlights and breakthroughs in the field and to promote the reproducibility of research results. [Read the paper]

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Best Student Paper at Greenmetrics

06-15-16

Graduate student Navid Azizan Ruhi, working with Professor Wierman, has won the Best Student Paper at the 2016 Greenmetrics Workshop for his paper, Opportunities for Price Manipulation by Aggregators in Electricity Markets. The objective of the workshop is to explore how improvements to or new uses of Information and Communication Technology (ICT) can improve the environmental, economic and/or social sustainability of ICT systems, networks, and applications and of non-ICT processes. [Read the paper]

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Janet Campagna Named 2016 Distinguished Alumna

06-13-16

Janet C. Campagna (MS ’85, Social Science) has been named a 2016 Caltech Distinguished Alumna for her contributions to quantitative investment and for her leadership in the financial industry. She is the founder of QS Investors and a member of the Caltech IST Council. The information science and technology (IST) council helps increase national and global awareness of research in information science and technology as well as garner support for it. [Alumni story]

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Professor Yue Receives Bloomberg Data Science Grant

06-13-16

Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, is a recipient of the Bloomberg Data Science Research Grant Program. The program aims to support cutting-edge research in the broad field of machine learning, including specific areas such as natural language processing, information retrieval, machine-translation and deep neural networks. Professor Yue has proposed to study an alternative notion of interpretability, which he calls “dynamic interpretability”. The goal of dynamically interpretable models is to make predictions that are interpretable, rather than have the model itself be explicitly interpretable. With this alternative goal, one can circumvent much of the inherent tension between accuracy and traditional “static” interpretability, and move one step closer to interpretable production-strength models.[Bloomberg release]

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Winners of the 2016 Demetriades - Tsafka - Kokkalis Prizes Announced

06-09-16

The student winners of the 2016 Demetriades - Tsafka - Kokkalis Prizes were announced at a special dinner with the Demetriades - Tsafka – Kokkalis family. Rachel P. Galimidi received the prize in Biotechnology for her work with Professor Pamela Bjorkman aimed to further understand the mechanism of HIV evasion of the humoral immune response. Junle Jiang was the recipient of the prize in Seismo-Engineering, Prediction, and Protection for his work with Nadia Lapusta which used probabilistic inversion tools to understand the deep-ocean trench generated tsunamis that occurred during the subduction-zone earthquakes in Japan and Chile. Yinglu Tang working with Dr. Jeff Snyder received the prize in Environmentally Benign Renewable Energy Sources for her work on thermoelectric skutterudites for mid-temperature applications such as automotive waste heat recovery. The second winner in this category was Changhong Zhao who worked with Professor Steven Low to study the control and optimization of modern electric power systems. The winner of the prize in Nanotechnology was Gustavo Rios whose research involves development of a modular, scalable, nanofabricated neural probe system for dense 3-D electrophysiology to study animal brains. Rio’s graduate advisor was Professor Thanos Siapas. The prize in Entrepreneurship was given to Anton A. Toutov who was advised by Professor Robert Grubbs. His research interests lie in using fundamental chemistry to development radically new, sustainable ways to make everyday chemical products and generate clean energy.

Tags: APhMS EE honors MedE MCE CMS Jeff Snyder Nadia Lapusta Steven Low Robert Grubbs CNS Junle Jiang Rachel P. Galimidi Pamela Bjorkman Yinglu Tang Changhong Zhao Gustavo Rios Thanos Siapas Anton Toutov

Professor Vaidyanathan Receives Northrop Grumman Prize for Excellence in Teaching

06-08-16

P. P. Vaidyanathan, Professor of Electrical Engineering, is the recipient of the 2016 Northrop Grumman Prize for Excellence in Teaching. The Prize is awarded to an EAS professor who demonstrates, in the broadest sense, unusual ability, creativity, and innovation in undergraduate and graduate classroom or laboratory teaching. A nomination for Professor Vaidynathan read, “he has been an incredibly talented, dedicated, consistent, and responsible teacher throughout his career at Caltech. He is simply a great teacher who not only does a great job of conveying pertinent and important material to the students, but also spends the time to convey the thought process.” One of the students in his course stated, “this is one of the best-taught courses at Caltech. Period. That's especially nice since signals and systems are such important topics. He is a great professor and lecturer. His lectures are extremely well-organized, and you never leave a lecture not understanding the concepts he discussed.”

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