Byron Short Seminar Series

Abstract 

On Dec 5, 2022, researchers of the National Ignition Facility at Lawrence Livermore National Lab conducted a first-time-ever controlled inertial confinement fusion experiment in which the fusion-energy output was 1.5 times greater than the laser energy input. The success of this landmark experiment made headlines in all major news outlets and was hailed as a step forward in the development of clean, fusion-powered generators which may one day meet the world's energy needs without producing harmful waste and emissions. Important to the success of this fusion experiment is to polish the fuel capsule to nanometer precision.  This talk, based on three journal articles published in ASME Journal of Manufacturing Science and Engineering and IISE Transactions, respectively, recounts how engineering data science contributes to decision making in the ultraprecision polishing process at the National Ignition Facility.

About the Speaker

Dr. Yu Ding is the Anderson-Interface Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Prior to joining Georgia Tech, he was the Mike and Sugar Barnes Professor of Industrial and Systems Engineering at Texas A&M University.  Dr. Ding's research focuses on engineering data science.  He is the author of the CRC Press book, Data Science for Wind Energy and a co-author of the Springer Nature book, Data Science for Nano Image Analysis.  His research work is recognized by the 2019 IISE’s Technical Innovation Award and 2022 INFORMS’ Impact Prize.  Dr. Ding is a former Editor-in-Chief of IISE Transactions, and the current Editor-in-Chief of INFORMS Journal on Data Science.   He is a Fellow of INFORMS, IISE, and ASME.