Faculty Grants Announced
Eleven NMU faculty members who will receive 2010-11 grants worth up to $7,000 to conduct research or other scholarly activity are:
Randy Appleton (Computer Science) will measure the performance of the operating system Linux in order to improve the speed of the system.
Sandra Burr (English) will investigate primary rare documents connected to Harriett and Louise Beaufort, two Anglo-Irish writers who published scientific texts for children in the early 19th century.
Tara Foster (Modern Languages and Literatures) will prepare new editions of three different anonymous versions of The Life of Saint Margaret of Antioch, each contained in a single 13th-century manuscript and composed in the French dialects of Norman England.
Alec Lindsay (Biology) plans to continue ongoing research in his conservation genetics lab and to develop new tools and techniques for unexplored areas of research application.
Yan Liu (Chemistry) will assess the accuracy of microchips to test levels of tetracyclines in dairy and meat products.
Donald Marquardt (Chemistry) will prepare a new class of compounds known as phenanthro-fulvenes.
Rebecca Mead (History) is developing a book-length study about how Michigan's Native American people adapted as American settlement in Michigan dramatically increased after the end of the War of 1812.
Peter Pless (Art and Design) will develop an exhibition of a series of products based on the theoretical framework titled “Spaces,” to be shown at the 2010 Salone Satellite in Milan, Italy.
Joel Thompson (Business) will examine investing practices in United States in the early 1880s and determine the role that financial accounting played in those practices.
Bao Truong (Mathematics and Computer Science) will work on “Preference Optimality Conditions in Multi-objective Optimization with Applications,” a study of new necessary conditions for optimal solutions of a general mathematical model in which a decision maker compares all possible alternatives to select the most efficient one according to his preference or taste, and then apply this model to numerous practical vector bi-level optimization problems.
Qinghong Zhang (Mathematics and Computer Science) will work with the study of a mathematical foundation for determining the weights for multi-objective optimization problems in posture prediction using an inverse optimization approach.