Title: Optimizing the Performance of Analytical Chemistry Instrumentation
Presenter: Srividya Sekar
Date: April 6th
Time: 12:00 pm -2:00 pm
Location: WH 425A or virtually on Teams
Teams Live Info: Click Here to Join Live Event
Supervisors: Dr. Victoria Chen, Dr. Jay Rosenberger
Committee members: Dr. Kevin Schug, Dr. Shouyi Wang, Dr. Chen Kan
Abstract: Optimal parameter settings play an important role in the efficiency of the analytical chemistry instrumentation. The research focuses on developing a globally optimal surrogate optimization methodology to obtain parameter settings for a run of the instrument. It uses a smooth Quintic Multi Adaptive Regression Splines (QMARS) as the surrogate model and a Mixed Integer Quadratically Constrained Program (MIQCP) to globally optimize the metamodel. The algorithm will provide an abundance of knowledge about the analytical chemistry instrument, reduce the sample preparation time and the trial-and-error runs needed to achieve the optimal and efficient extraction of the analysis.
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