Qiang Huang, Ph.D.
Associate Professor and Gordon S. Marshall Early Career Chair in Engineering
Epstein Department of Industrial and Systems Engineering
University of Southern California
Associate Editor, IEEE Transactions on Automation Science and Engineering
Contributing Editor, InterNano
Tel: (213) 740-2433
Fax: (213) 740-1120
o Ph.D. Industrial & Operations Engineering, University of Michigan, 2003
o M.A. Statistics, University of Michigan, 2002
o Ph.D., M.S. B.S. Mechanical Engineering, Shanghai Jiao Tong University, 1998, 1996, 1993.
Dr. Huang's research has been focusing on quality and productivity improvement for advanced manufacturing systems under uncertainties, with special emphasis on Integrated Nanomanufacturing and Nanoinformatics (INN). The INN research will lead to new methodologies and tools for improving nanomanufacturing process repeatability through interdisciplinary research. Dr. Huang's research has been supported by National Science Foundation (NSF) (including the prestigious NSF CAREER award) and Office of Naval Research. Dr. Huang has served as an Associate Editor (Quality, Micro and Nanomanufacturing Systems) for SME Journal of Manufacturing Systems since 2008. He was one of the editors for Special Issue of the IIE Transactions on Quality and Reliability Engineering/Manufacturing and Design: "Quality, Sensing and Prognostics Issues in Nanomanufacturing". He was a member of scientic committee (Editorial Board) for the North American Manufacturing Research Institution (NAMRI) of SME, 2009-2011. He was Associate Editor (Automation in Meso, Micro and Nano-Scale) for 2009 and 2010 IEEE Conference on Automation Science and Engineering.
o Nanomanufacturing & Nanoinformatics
o Physical-statistical modeling, control, and diagnosis of variations in complex systems
o Chang, C.J., Xu, L., Huang, Q., and Shi, J.,2011, “Quantitative Characterization and Modeling Strategy of Nanoparticle Dispersion in Polymer Composites, ”IIE Transactions on Quality and Reliability, Special Issue on Quality, Sensing and Prognostics Issues in Nanomanufacturing, DOI: 10.1080/0740817X.2011.588995, in press.
o Huang, Q., Wang, L., Dasgupta, T., Zhu, L., Sekhar, P.K., and, Bhansali, S., An, Y., 2011, “Statistical Weight Kinetics Modeling for Silica Nanowires Growth Catalyzed by Pd Thin Film,”IEEE Trans on Automation Science and Engineering, Vol. 8, pp. 303-310.
o Huang, Q., 2011, “Physics-Driven Bayesian Hierarchical Modeling of Nanowire Growth Process At Each Scale,”IIE Transactions on Quality and Reliability, Vol. 43, pp. 1-11. (Featured article).
o Zhang, X., Huang, Q., 2010, “Analysis of Interaction Structure Among Multiple Functional Process Variables for Process Monitoring in Semiconductor Manufacturing, ”IEEE Transactions on Semiconductor Manufacturing, Vol.23(2), pp.263-272.
o Wang, H., Zhang, X., Kumar, A., Huang, Q., 2009, “Nonlinear Dynamics Modeling of Cor- related Functional Process Variables for Condition Monitoring in Chemical-Mechanical Pla- narization ”, IEEE Transactions on Semiconductor Manufacturing, Vol. 22, pp. 188-195.
o Wang, H., and Huang, Q., 2006, “Error Cancellation Modeling and Its Application in Machining Process Control,” IIE Transactions on Quality and Reliability, Vol.38, pp.379–388.(Featured article)