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Aerospace student wins AIAA IS Best Paper competition

Swee Warman won this year’s AIAA IS Best Student Paper competition at the 2015 AIAA SciTech Conference in Kissimmee, FL| Short Read

The AIAA Intelligent Systems TC and the Intelligent Systems Best Student Paper judges, congratulated aerospace student, Swee Warman, on winning this year’s AIAA IS Best Student Paper competition at the 2015 AIAA SciTech Conference in Kissimmee, FL. The paper competition subcommittee unanimously selected Warman’s paper as the overall 1st place winner.

Winning paper title: A Constrained Markov Decision Process Framework for a Flight Safety Assessment and Management System

Abstract: Loss of Control is the most common contributing factor to aviation accidents. Flight Safety Assessment and Management (FSAM) is a high level automation aid to further reduce risk due to loss of control. Nominally, FSAM serves as a loss-of-control watchdog. When off-nominal conditions conducive to loss of control are encountered, FSAM issues appropriate warnings and resilient control overrides to ensure safe operation of the aircraft. This paper describes a framework for modeling FSAM as a Constrained Markov Decision Process where constraints represent flight envelope boundaries and decisions represent control mode overrides or no-operation (continue monitoring without action). The decisions made by FSAM are based on an optimal policy that minimizes a cumulative cost that penalizes high risk flight conditions which contribute to loss of control.

Using this CMDP framework we develop policies that prevent loss of control during takeoff.

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The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

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