CSoI eBrief
CSoI eBrief September 2017
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September 2017

Greetings CSoI Team,

Welcome to the September 2017 edition of the Monthly CSoI Highlights eBrief.

CSoI Highlights' Headlines:

  • Peter Shor awarded Dirac Medallist 2017.

  • 2017 Rising Stars in EECS: An Academic Career Workshop for Women. November 5-7, 2017. Stanford University

  • CSoI and the Department of Computer Science at Purdue hosting seminars.

  • Three new CSoI student teams begin research collaborations.

  • CSoI Learning Hub would like to include your topic.

CSoI Highlights

  • Peter Shor was awarded the Dirac Medallist 2017. Peter consolidated the field of quantum computation by designing the quantum algorithm for factoring large numbers. He proved that a quantum computer could solve a hard computational problem exponentially faster than any classical computer. He also introduced quantum error correcting codes and fault tolerant quantum computation. The theory of error correcting codes is now a well-established branch of this science, substantiating the possibility for error-free quantum computation.

  • Hosted by the EE and CS departments of Stanford University, this workshop brings together the best and brightest women in electrical engineering and computer science as the future leaders of our profession. We look forward to hearing about their accomplishments and aspirations, and to providing guidance on navigating the journey to obtain and be successful in an academic career. For more information visit https://www.soihub.org/news-and-events/calendar/2017-rising-stars-in-eecs-an-academic-career-workshop-for-women/

  • The Center for the Science of Information and the Department of Computer Science at Purdue have been hosting a regular seminar during the fall semester with a number of internal and external speakers. The goal of the seminar to is explore recent progress on the limits and information in matrix-based problem formulations, algorithms, and how they are applied to data---all broadly construed. The videos of the talks should appear on the Center's YouTube channel shortly after they are presented. Topics have included: solving non-linear optimization problems in high-precision arithmetic, metrics to identify "fake news", asymptotic limits of spectral clustering, and fast algorithms for high-performance computing. For information regarding upcoming seminars please visit our website https://www.soihub.org/

  • Three new CSoI student teams begin research collaborations. Through a series of annual workshops focused on professional development in team-based research, skills in data science, interdisciplinary experience, and grant writing, CSoI has fostered fourteen multi-institutional research teams with members from twenty-one universities. You can learn more about the teams at our Research Teams page: https://soihub.org/education/research-teams/

  • CSoI students and faculty interested in developing a topic module teaching others about your research, a new method, or concept? The Center continues to build its science of information education offerings, and would like to include your topic: https://www.soihub.org/resources/learning-hub/ Contact Brent - education@soihub.org


  • S. Gupta, Y. Kihara, M. R. Maurya, P. C. Norris, E. A. Dennis and S. Subramaniam, Computational Modeling of Competitive Metabolism between omega-3- and omega-6-Polyunsaturated Fatty Acids in Inflammatory Macrophages, Journal of Physical Chemistry B, 2016, 120(33):8346-8353.

  • B. Asadi, M. R. Maurya, D. M. Tartakovsky and S. Subramaniam, Doubly Penalized LASSO for Reconstruction of Biological Networks, Special Issue, Proceedings of the IEEE – Foundations & Applications of Science of Information, 2017, 105(2):319-329.

  • N. E. Ajami, S. Gupta, M. R. Maurya, P. Nguyen, J. Y. Li, J. Y-J. Shyy, Z Chen, S. Chien and S. Subramaniam, Systems Biology Analysis of Longitudinal Functional Response of Endothelial Cells to Shear Stress, Proc. Natl. Acad. Sci. USA, 2017, in press.

  • Ant-Inspired Density Estimation via Random Walks. Cameron Musco, Hsin-Hao Su, and Nancy Lynch. Proceedings of the National Academy of Sciences, September, 2017.

  • Neuro-RAM Unit with Applications to Similarity Testing and Compression in Spiking Neural Networks. Nancy Lynch, Cameron Musco, and Merav Parter. To appear in the 31st International Symposium on Distributed Computing (DISC), Vienna Austria, October 2017.

  • Computational Tradeoffs in Biological Neural Networks: Self-Stabilizing Winner-Take-All Networks. Nancy Lynch, Cameron Musco, and Merav Parter. Innovations in Theoretical Computer Science (ITCS), Berkeley, CA, January 2017.

  • Kishori M Konwar, N. Prakash, Muriel Medard and Nancy Lynch. A Layered Architecture for Erasure-Coded Consistent Distributed Storage. ACM Symposium on the Principles of Distributed Computing (PODC 2017), Washington, DC, July 2017

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