Frontiers of applied mathematics
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August 13, at 2 p. Gutierrez and Mihaela van der Schaar will discuss applications of machine learning in medicine. September 10, at 2 p. October 8, at 2 p.
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November 12, at 2 p. Dustin Moody will discuss the mathematics behind quantum encryption and opportunities for future research. December 10, at 2 p. ET: Machine Learning for Text Professors Marine Carpuat and Tengyu Ma will discuss how machine learning methods are being applied to text analysis and what these efforts could unveil. Professors Sean Meyn and Steven Low will discuss mathematical applications for the preservation, stability, and resilience of the electric grid and other modern power systems. View the Presentation. March 13, at 2 p.
Frontiers in Applied Mathematics and Statistics (ERA Journal)
ET: Probability for People and Places. Professors Kenneth L. Lange and Gregory F. Lawler will discuss applications of probability theory, including how DNA results are used to calculate family ancestry.
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Application areas include investment analytics and game theory. Professors Nina Fefferman and Alessandro Vespignani will discuss the mathematical interface of social and biological networks. Topics will include mathematical models of evolutionary pressures on social behavior and mathematical formulations of contagion processes. Professors Jonathan Mattingly and Karen Saxe will discuss the mathematics of political redistricting—the process of redrawing congressional and state legislative electoral districts.
Professors Ken Ono and Terence Tao will speak on the importance and recent advances on the Riemann Hypothesis, one of the most famous unsolved problems in algebra and number theory. August 14, at 2 p. ET: Algorithms for Threat Detection. Professor Andrea Bertozzi and Abel Rodriguez will discuss applications of mathematics to spatiotemporal data analytics as a way to discover and mitigate national security threats.
September 11, at 2 p. Professor Dimitri Shlyakhtenko and Svitlana Mayboroda will discuss mathematical analysis and differential equations, with applications to computational fluid dynamics, astronomy, and condensed matter physics. Watch the Webinar Video View the Presentation. Professors Jacques Verstraete and Sara Billey will discuss the mathematical study of discrete structures and their properties focusing on some of the modern techniques in the area including the probabilistic method.
Application areas include information theory, statistical physics, molecular biology and computer science. The book also integrates mathematical and statistical theory with applications and practical computational methods, including topics like maximum likelihood estimation and Bayesian estimation. Provides the reader with a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.
Curtis R. His research interests include numerical analysis, mathematical modeling, optimization, inverse and ill-posed problems, and scientific computing. He has written many refereed articles and reports on these topics.
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