Mines graduate student Dan Nix received the Best Student Paper award at the Midwestern Instructional Computing Symposium held in Cedar Falls, Iowa.
The Sioux Falls native won for his paper entitled “Novel Feature Based Outlier Rejection and Motion Clustering.” Nix, who just completed his first year in graduate school, is enrolled in both the computational sciences and robotics program and the nanoscience and engineering program.
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