Professor of Industrial and Systems Engineering and Chemical Engineering and Materials Science Qiang Huang has been elected as a Fellow of the Institute of Industrial and Systems Engineers (IISE), honoring his research in the area of engineering-informed machine learning and data analytics for advanced manufacturing systems.
Fellow is the highest classification of IISE membership, recognizing the outstanding leaders of the profession who have made significant, nationally-recognized contributions to industrial and systems engineering. The award was presented on May 23, 2022, at the IISE Annual Conference in Seattle.
Huang’s research has special emphasis on integrated nanomanufacturing and nanoinformatics and machine learning for additive manufacturing.
The Huang Lab has developed fabrication-aware machine learning algorithms and computation-driven quality control tools to make 3D printing smarter, work that has been featured across numerous media outlets including IEEE Spectrum, Science Daily, and many more. Huang and his students were recently honored for their method to detect 3D printing errors before it’s too late.
Huang joined USC Viterbi Daniel J. Epstein Department of Industrial and Systems Engineering in 2012, as Gordon S. Marshall Early Career Chair in Engineering, a role he held until 2016. He obtained his Ph.D. in Industrial and Operations Engineering from the University of Michigan and his B.S. in Mechanical Engineering from Shanghai Jiao Tong University.
Huang’s research has been supported by National Science Foundation (NSF) and the Office of Naval Research. He is a recipient of the NSF CAREER Award and has been an IEEE Senior Member since December 2016.
He is Department Editor for IISE Transactions and Associate Editor for ASME Transactions, Journal of Manufacturing Science and Engineering.
Huang has also served as an Associate Editor for IEEE Transactions on Automation Science and Engineering and for IEEE Robotics and Automation Letters.
Published on May 23rd, 2022
Last updated on June 15th, 2022
