SIAM Presents
Presentations from NC13 are now available
Presentations of select sessions from the 2013 SIAM Conference on Numerical Combustion are now available on SIAM Presents…Featured Lectures from Our Archives.
View and listen to invited lectures and minisymposia in a range of areas focusing on integration of theory, modeling, and numerical implementation in the study of basic combustion physics and technological applications.
Please go to the direct link to view the sessions captured at NC13. You do not need to login to view presentations, though registering will allow you to track the presentations you access. Audio/slides can be viewed by selecting either “Invited Speakers” or “Minisymposia” and then connecting to a specific session. You can also browse all presentations on SIAM Presents by conference or area of classification on the left sidebar.
Machine learning, digital imaging & big data are revolutionizing astronomy
Telescope projects now routinely obtain massive digital movies of the dynamic night’s sky. But given the growing data volumes, coupled with the need to respond to transient events quickly with appropriate followup resources, it is no longer possible for people to be involved in the real-time loop.
At the SIAM Conference on Computational Science and Engineering held in Boston in February 2013, Dr. Joshua Bloom discussed the development of robotic telescopes, autonomous follow-up networks, and a machine-learning framework that act as a scalable, deterministic human surrogate for discovery and classification in astronomical imaging. Read the rest of this entry »
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Tags: astronomy, astrophysics, CSE13 video, robotics | 
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Presentations from SIAM Conference on CS&E are now available
Presentations of select sessions from the 2013 SIAM Conference on Computational Science and Engineering are now available on SIAM Presents…Featured Lectures from Our Archives.
View and listen to invited lectures and minisymposia in a wide range of areas including large scale computation, scientific data mining, mathematics of planet Earth and much, much more.
Please go to the direct link to view the sessions captured at CSE13. You do not need to login to view presentations, though registering will allow you to track the presentations you access. Audio/slides can be viewed by selecting either “Invited Speakers” or “Minisymposia” and then connecting to a specific session. You can also browse all presentations on SIAM Presents by conference or area of classification on the left sidebar.
The beat goes on: Modeling the human heart
Computational simulations can help understand and treat cardiac rhythm disorders.
Computational models of the human heart can be very useful in studying not just the basic mechanisms of heart function, but also to analyze the heart in a diseased state, and come up with methods for diagnosis and therapy.
Dr. Natalia Trayanova’s Computational Cardiology Lab at the Johns Hopkins University is doing just that—her group uses mathematical models to look at cardiac function and dysfunction, examining the mechanisms behind disorders such as cardiac arrhythmias and pump dysfunction.
In a plenary lecture at the SIAM Conference on Computational Science and Engineering in February, Dr. Trayanova described how her lab uses imaging data from clinics, such as MRIs and CT scans, to create heart models. Using detailed information from such images, the team geometrically constructs 3-D computer models by incorporating information about chemical and protein interactions as well as cardiac fiber orientation. Read the rest of this entry »
Finding answers in big data sets
Philadelphia, PA—Whether you’ve watched an elaborate weather forecast, made an online purchase, or received personalized news stories in your inbox in recent years, you’ve likely seen “big data” in action.
Big data is everywhere these days, be it personalized ad targeting, weather and climate modeling, or flu trend analysis to mention just a few.
Ever-increasing amounts of data are now available thanks to many modern realities: e-commerce and transaction-based information that has been stored over the years, data streaming in from growing social media activity and rising Web traffic, and sensor data from the increased use of digital sensors in industrial equipment, electrical meters, automobiles, and satellites, for example. With decreasing storage costs, archiving this data has also become easier than ever. Read the rest of this entry »
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Why join SIAM?
At the SIAM Annual Meeting held in Minneapolis in July, SIAM members discussed the many reasons and benefits of being part of the SIAM community: from research collaborations and professional development to tackling global problems and engaging in scientific discussion. Find out why these members find their SIAM membership so valuable!
Elliptic Curve Cryptography and Applications
At the SIAM Annual Meeting held in Minneapolis in July, Dr. Kristin Lauter of Microsoft Research discussed Elliptic Curve Cryptography as a mainstream primitive for cryptographic protocols and applications. The talk surveyed elliptic curve cryptography and its applications, including applications of pairing-based cryptography which are built with elliptic curves. Lauter also discussed its applications to privacy of electronic medical records, and implications for secure and private cloud storage and cloud computing.
Watch a video overview of the talk and an interview:
Mathematics in Finance: Systemic Risk
At the SIAM Annual Meeting held in Minneapolis in July, Dr. George Papanicolaou of Stanford University surveyed a topic of great relevance today—models for systemic risk and the implications that can be drawn from them. Laying out the picture of an evolving system with a large number of interconnected components, he described Systemic Risk as the probability of overall failure of the system. Papanicolaou spoke about the effect of electronic trading and automated exchanges increase in increased liquidity and risk, illustrating the significance of systemic risk in current mathematical finance research.
Watch a brief video overview of his talk and interview:
Mathematics and the Ocean: Movement, Mixing and Climate Modeling
Emily Shuckburgh of the British Atlantic survey uses mathematical ideas from dynamical systems to study mixing in the Southern Ocean
Philadelphia, PA—Studying the dynamics of the ocean system can greatly improve our understanding of key processes of ocean circulations, which have implications for future climate. Can applying mathematics to the research help? Dr. Emily Shuckburgh of the British Antarctic Survey, speaking at the 2012 SIAM Annual Meeting, thinks the answer is an emphatic “yes.”
Dr. Shuckburgh described mathematical ideas from dynamical systems used by her group, along with numerical modeling and experimental observations, to analyze circulation in the Southern Ocean. The Southern Ocean is unique in that it connects three major ocean basins—the Pacific, the Atlantic and the Indian oceans—with a powerful current that circulates all the way around Antarctica. This circumpolar current travels from the North Atlantic, sinking down to the bottom of the ocean and coming up to the surface around Antarctica, thus connecting the deep ocean with the atmosphere above. When water from the deep ocean comes up to the surface, it can exchange heat and carbon dioxide from the atmosphere, thus making it highly significant for climate change. Read the rest of this entry »
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Math, image processing and movie special effects
At the SIAM Annual Meeting held in Minneapolis in July, Tony Chan of the Hong Kong University of Science and Technology spoke about recent growth in the field of image processing due to the advent of inexpensive and integrated image capturing devices, which has led to massive data and novel applications. In a very interesting talk, he described how image processing has emerged not only as an application domain where computational mathematics provides ideas and solutions, but also in spurring new research directions. 2012 I.E. Block Lecturer Robert Bridson, in a very engaging lecture, demonstrated how a computer-generated effect, like a stormy ocean, is made to look real in movies by numerically solving physical equations describing the motion, bringing mathematics and scientific computing into the forefront of animation.
Watch a video recapping both talks and interviews with the speakers!
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