Senior Research Engineer, Warren, MI, General Motors. Research, engr, &apply predictive analytics to mfg systems for information extraction to improve production control &optimize decisions under uncertainty. Plan research related to powertrain mfg process monitoring, decision analysis &qlty control. Combine traditional qlty methods-SixSigma, DFSS &SQC-with predictive analytics &process monitoring techniques to advance mfg qlty standards. Conduct research &apply predictive analytics &optimization techniques to create empirical models to represent discrete event &real stochastic complex mfg systems that enable plant engrs to predict behaviors &control production. Analyze massive amount of process data using Statistical Analysis Software to speed up engrg &scientific discovery in mfg science. Dvlp novel empirical-model selection criterion &validation methods to select the best candidate model with respect to generalization &parsimony. Design multiple classifier system, investigate the interaction between multiple classification architectures for binary classification to identify the general prediction superiority of a particular combination scheme under uncertainty. Dvlp novel machine learning algorithms &methods aimed at improving classification performance. Apply MATLAB to generate the algorithm’s results. Master, Industrial Engrg or Mechanical Engrg. Six months’ experience as Engineer, Researcher, or Teaching Assistant, conducting research aimed at empirical modeling, optimizing complex systems, &applying predictive analytics to mfg or stochastic systems for information extraction to improve production control &optimize decisions under uncertainty. Mail resume to Ref#3440, GM Global Mobility, 300 Renaissance Center, MC:482-C32-C66, Detroit, MI 48265.
