<div dir="ltr"><p style="font-family:arial,sans-serif;font-size:13.333333969116211px">Hi All, </p><p style="font-family:arial,sans-serif;font-size:13.333333969116211px">I'm hosting Dr. Boris Khattatov tomorrow, and encourage folks to attend his seminar! (Also let me know if you'd be interested in joining for lunch or dinner). I believe Boris has an open slot on his schedule from 10-11 am if you'd like to meet him outside of lunch/dinner (please e-mail<a href="mailto:brettm@mit.edu" target="_blank">brettm@mit.edu</a> to schedule). </p>
<p style="font-family:arial,sans-serif;font-size:13.333333969116211px"><b>An Eclectic View of Estimation Theory, Data Assimilation, Global Positioning System and Business</b></p><p style="font-family:arial,sans-serif;font-size:13.333333969116211px">
Dr. Boris Khattatov<br>Fusion Numerics LLC.<br>Boulder, Colorado</p><p style="font-family:arial,sans-serif;font-size:13.333333969116211px">Tuesday, May 13, 2014</p><p style="font-family:arial,sans-serif;font-size:13.333333969116211px">
2:30 pm <b>(Refreshments, 2:15 pm)</b></p><p style="font-family:arial,sans-serif;font-size:13.333333969116211px">54-517 (Green building)</p><p style="font-family:arial,sans-serif;font-size:13.333333969116211px"><b>Hosted by </b>Professor Kerri Cahoy</p>
<p style="font-family:arial,sans-serif;font-size:13.333333969116211px">Abstract: Arguably, most real-world business and scientific problems on the intersection of computing, physics and mathematics are ill-posed due to the lack of accurate observations and/or deficiency of the relevant predictive models. </p>
<p style="font-family:arial,sans-serif;font-size:13.333333969116211px">Norbert Weiner and Andrey Kolmogorov are perhaps the most well-known scientists who helped establish a formal mathematical basis for solving under-determined problems via providing a framework for optimally combining uncertain theoretical modeling estimates with uncertain observations. </p>
<p style="font-family:arial,sans-serif;font-size:13.333333969116211px">Ruldolf Kalman is universally credited with inventing in 1960 a computationally efficient algorithm (Kalman filter) for translating this framework into many practical solutions. This, among other things, helped to put men on the Moon. The Kalman filter has been embedded in the Apollo mission navigation computers. Since then, Kalman filters and other mathematical techniques of estimation theory have been used for achieving practical solutions to a variety of problems, including weather forecasting, a problem with a state vector of several million elements. This talk describes an application of the Kalman filter to assimilative modeling of the Earth's ionosphere for purposes of increasing accuracy of routine GPS positioning and aspects of turning the developed solutions into a business.</p>
<div><br></div>-- <br>Kerri Cahoy<br>Assistant Professor of Aeronautics and Astronautics<br>Massachusetts Institute of Technology, 37-367<br>77 Massachusetts Ave.<br>Cambridge, MA 02139, USA<br>Cell phone: 650 814-8148<br>
Office phone: 617 324-6005<br>E-mail: <a href="mailto:kcahoy@mit.edu" target="_blank">kcahoy@mit.edu</a>, <a href="mailto:kerri.cahoy@gmail.com" target="_blank">kerri.cahoy@gmail.com</a><br>
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