Qiang Huang, Ph.D.

Assistant Professor

Gordon S. Marshall Early Career Chair in Engineering

Daniel J. Epstein Department of Industrial and Systems Engineering

University of Southern California

Contact Information:

Phone: 213-740-2433

Fax: 213-740-1120

Email: qiang.huang@usc.edu

Curriculum Vitae

Research Assistant Positions Available.

Contact me if you have strong engineering and analytical background

Professional Experience

Education

Teaching

Research Interests

Grants and Projects

Publications

Nanomanufacturing Quality Control Laboratory (Nano-QCLab)

Honors and Awards

My lovely daughter and son, My daughter¡¯s Cello recital

Ph.D. Graduates & Current Students

Professional Activities

¡¤ Professional Experience

Assistant Professor, Daniel J. Epstein Department of Industrial and Systems Engineering,

University of Southern California, Los Angeles, CA, August 2009 ~Present

Associate Professor, Department of Industrial and Management Systems Engineering,

University of South Florida, Tampa, FL, June 2008 ~ August 2009

Assistant Professor, Department of Industrial and Management Systems Engineering,

University of South Florida, Tampa, FL, August 2003 ~ June 2008

¡¤ Education

Ph.D. Industrial & Operations Engineering, University of Michigan, 2003

M.A. Statistics, University of Michigan, 2002

Ph.D., M.S. B.S. Mechanical Engineering, Shanghai Jiao Tong University, 1998, 1996, 1993

¡¤ Teaching

Courses at USC

ISE 525: Design of Experiments

ISE 426: Statistical Quality Control

Epstein Institute Seminar Series

Courses Taught at USF

EGN 3443: Engineering Statistics

ESI 4221: Industrial Statistics/Quality Control

ESI 6638: Engineering Data Mining

ESI 6247: Statistical Design Models (Graduate level Design of Experiment)

¡¤ Research Interests

My general area of interest is modeling and analysis of complex systems for quality and productivity improvement, in particular,

- Integrated Nanomanufacturing & Nanoinformatics (INN)

- Modeling, control & diagnosis of variations in complex systems

- Quality and Applied Statistics

¡¤ Grants and Projects

1. PI, "CAREER: Nanomanufacturing Process Modeling and Control -- A Foundation for Large-Scale Production," NSF CMM-1055394, $400,001, 2011-2016.

2. Co-PI (50% effort), "Cyber-Enabled Manufacturing Systems (CeMS): Real-Time Shape Compensation for Accurate Direct Digital Manufacturing," Office of Naval Research, ONR Grant# N000141110671, $439,645, 2011-2014 (PI: Y. Chen at USC).

3. Leading PI, ¡°Collaborative Research: Nanostructure Growth Process Modeling and Optimal Experimental Strategies for Repeatable Fabrication of Nanostructures for Application in Photovoltaics,¡± $300K, NSF CMMI-1000972, 2010-2013 (Co-PI: C. Zhou at USC, PI: T. Dasgupta at Harvard).

4. Co-PI, ¡°Bayesian process control for nanomanufacturing with mixed resolution information,¡± Hong Kong RGC (Research Grant Council), 2009-2011 (PI: F. Tsung, Co-PI: J. Shi).

5. PI, ¡°In Situ Nanomanufacturing Process Control Through Multiscale Nanostructure Growth Modeling,¡± $350K, NSF CMMI-0728100, 2007-2010 (Co-PI: A. Kumar).

6. PI, ¡°Analysis of Correlated Functional Variables for Manufacturing Process Diagnosis,¡± $280K, NSF CMMI-0600066, 2006-2009, (Co-PI, A. Kumar) (Including the supplement request of $15K for Cyberinfrastructure Experiences for Graduate Students (CIEG)).

7. Co-PI, ¡°Nanoengineered, Manufacturable, Ion-Implantation Seeded Silica Nanowires for Sensitive BioScreening, ¡± NSF CMMI-0700659, $289,980, 2007~2010 (PI: S. Bhansali).

8. PI, ¡°Multiscale Nanostructure Growth Modeling for Control of Nanomanufacturing,¡± Functional Multiscale Materials by Design Initiative, University of South Florida, Summer Support, 2007.

9. PI, ¡°Measurement Strategy for Serial-Parallel Reconfigurable Manufacturing Systems with Real-Time RF-Tag Information,¡± sponsored by NSF ERC-RMS at University of Michigan (Co-PI: Dr. R. Katz, Chief Engineer at ERC-RMS), 2004.

10. PI, ¡°Process Control based on Multivariate Functional Data,¡± USF Internal Award, 2004.

¡¤ Publications Since 2000

Refereed Journals and Transactions

1. Chang, C.J., Xu, L., Huang, Q., and Shi, J., 2011, ¡°Quantitative Characterization and Modeling Strategy of Nanoparticle Dispersion in Polymer Composites, "IIE Transactions, Special Issue on Quality, Sensing and Prognostics Issues in Nanomanufacturing, in press.

2. 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.

3. Huang, Q., 2011, ¡°Physics-Driven Bayesian Hierarchical Modeling of Nanowire Growth Process at Each Scale," IIE Transactions, IIE Transactions on Quality and Reliability, Vol. 43, pp. 1-11.

4. 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, DOI: 10.1109/TSM.2010.2041580.

5. Chen, S., Wang, H., and Huang, Q., 2010, ¡°Diagnosis of Multiple Error Sources Under Variation Equivalence," Accepted to NAMRI/SME Transactions, Vol. 38.

6. Zhang, X., Wang, H., Huang, Q., Kumar, A., and Zhai, J., 2009,¡°Statistical and Experimental Analysis of Correlated Time-varying Process Variables for Condition Diagnosis in Chemical-Mechanical Planarization,¡± IEEE Transactions on Semiconductor Manufacturing, Vol.22 (3), pp. 512-521.

7. Wang, H., Zhang, X., Kumar, A., Huang, Q., 2009, ¡°Nonlinear Dynamics Modeling of Correlated Functional Process Variables for Condition Monitoring in Chemical-Mechanical Planarization¡±, IEEE Transactions on Semiconductor Manufacturing, Vol. 22, pp.188-195.

8. Wang, H., Kababji, H., and Huang, Q., 2009, ¡°Monitoring Global and Local Variations in Multichannel Functional Data for Manufacturing Processes,¡± SME Transactions, Journal of Manufacturing Systems, doi:10.1016/j.jmsy.2009.03.001.

9. Wang, H., and Huang, Q., 2007, ¡°Using Error Equivalence Concept to Automatically Adjust Discrete Manufacturing Processes for Dimensional Variation Reduction,¡± ASME Transactions, Journal of Manufacturing Science and Engineering, 129, pp. 644—652.

10. Kim, J., Huang, Q., Shi, J., 2007, ¡°Latent Variable-based Key Process Variable Identification and Process Monitoring for Forging,¡± SME Transactions Journal of Manufacturing Systems, Vol. 26, pp. 53-61.

11. Wang, H., and Huang, Q., 2006, ¡°Error Cancellation Modeling and Its Application in Machining Process Control,¡± IIE Transactions on Quality and Reliability, 38, pp.379-388.

12. Wang, H., and Huang, Q., Yang, H., 2006, ¡°In-Line Statistical Monitoring of Machine Tool Thermal Error Through Latent Variable Modeling,¡± SME Transactions Journal of Manufacturing Systems, Vol. 25, No.4, pp. 279-292.

13. Kim, J., Huang, Q., Shi, J., and Chang, T.-S., 2006, ¡°Online Multi-Channel Forging Tonnage Monitoring and Fault Pattern Discrimination Using Principal Curve,¡± ASME Transactions, Journal of Manufacturing Science and Engineering, 128, pp. 944--950.

14. Wang, H., Huang, Q., Katz, R., 2005, ¡°Multi-Operational Machining Processes Modeling for Sequential Root Cause Identification and Measurement Reduction,¡± ASME Transactions, Journal of Manufacturing Science and Engineering, 127, pp. 512-521.

15. Huang, Q., and Shi, J., 2004, ¡° Stream of Variation Modeling of Serial-Parallel Multistage Manufacturing Systems with Coupled Process Routes,¡± ASME Transactions, Journal of Manufacturing Science and Engineering, 126, pp.611-618.

16. Huang, Q., and Shi, J., 2004, ¡°Variation Transmission Analysis and Diagnosis of Multi-Operational Machining Processes,¡± IIE Transactions on Quality and Reliability, 36, pp. 807-815.

17. Zhou, S., Huang, Q., and Shi, J., 2003,"State Space Modeling for Dimensional Monitoring of Multistage Machining Process Using Differential Motion Vector," IEEE Transactions on Robotics and Automation, 19, 296-309.

18. Huang, Q., Shi, J., 2003, ¡°Simultaneous Tolerance Synthesis through Variation Propagation Modeling of Multistage Manufacturing Processes,¡± NAMRI/SME Transactions, 31, pp. 515-522. 

19. Huang, Q., Shi, J., and Yuan, J., 2003, ¡°Part Dimensional Error and Its Propagation Modeling in Multi-Operational Machining Processes,¡± ASME Transactions, Journal of Manufacturing Science and Engineering, 125, 255-262.

20. Huang, Q., Zhou, S., and Shi, J., 2002, ¡°Diagnosis of Multi-Operational Machining Processes through Variation Propagation Analysis,¡± Robotics and Computer-Integrated Manufacturing, 18, 233-239.

Referred Conference Proceedings

1. Huang, Q., Zhou, N., and Shi, J., 2000, ¡°Stream of Variation Modeling and Diagnosis of Multi-Station Machining Processes,¡± Proc. 2000 ASME Int. Mech. Eng. Congress & Exposition, MED-Vol. 11, pp.81-88, November 5-10, Orlando, FL., 2000.

2. Huang, Q., Zhou, S., and Shi, J., 2001, ¡°Diagnosis of Multi-Operational Machining Processes By Using Virtual Machining,¡± Int. Conf. on Flexible Automation & Intelligent Manufacturing, pp. 804-813, July 16th - 18th, Dublin, IRELAND.

3. Huang, Q., and Shi, J., 2001, ¡°Stream of Variation Analysis and Root Cause Diagnosis for Multi-Operational Machining Processes,¡± 2002 Japan-USA Symposium on Flexible Automation, July 15-17, 2002, Hiroshima, Japan.

4. Kim, J., Huang, Q., Shi, J., and Chang, T.-S., 2004, ¡°Online Multi-Channel Forging Tonnage Monitoring and Fault Pattern Discrimination Using Principal Curve,¡± ASME IMECE 04.

5. Wang, H., Huang, Q., Katz, R., 2004, ¡°Multi-Operational Machining Processes Modeling for Sequential Root Cause Identification and Measurement Reduction,¡± ASME IMECE 2004.

6. Wang, H., Huang, Q., 2005, ¡°Automatic Process Adjustment for Reducing Dimensional Variation in Discrete Part Machining Processes,¡± ASME IMECE 2005.

7. Wang, H., Chen, S., and Huang, Q., 2009, ¡°Multistage Machining Process Design and Optimization Using Error Equivalence Method ", 2009 ASME International Manufacturing Science and Engineering Conference (MSEC), October 4-7, 2009, West Lafayette, IN.

8. Huang, Q., 2011, ¡°Integrated Nanomanufacturing and Nanoinformatics for Quality Improvement ¡±, 44th CIRP International Conference on Manufacturing Systems, June 1-3, 2011, Madison, Wisconsin (Invited).

¡¤ Nanomanufacturing Quality Control Laboratory (Nano-QCLab)

Nano-QCLab is established to enhance research and teaching infrastructures on nanomanufacturing process control for process yield and repeatability improvement.

¡¤ Honors and Awards

1. NSF Faculty Early Career Development (CAREER) Award, 2011.

2. Featured article IIE Transactions on Quality and Reliability

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.

3. Featured article in IIE Transactions on Quality and Reliability

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.

4. 2002-2003 Student of the Year at NSF Engineering Research Center for Reconfigurable Machining Systems (ERC-RMS) at University of Michigan, May 2003.

5. Graduate Student Research Assistantship at ERC-RMS of University of Michigan, 1999-2003.

¡¤ Ph.D. Graduates & Current Students

1. Hui Wang, ¡°Error Equivalence Theory for Manufacturing Process Control,¡± Graduated in 2007.

Current position: Assistant Research Scientist at University of Michigan, Ann Arbor, 01/08 ~ present.

2. Xi Zhang, ¡°Statistical and Physical Analysis of Functional Process Variables for Process Control in Semiconductor Manufacturing,¡± December, 2009.

Current position: Assistant Professor, Industrial Engineering & Management Department, Peking University, China, 09/2010 ~ present.

Current Ph.D. Students

Lijuan Xu Industrial and Systems Engineering, Ph.D. student, BS (09): Industrial Engineering, Tsinghua University, Beijing, China Email: lijuanxu at usc.edu

Li Wang Industrial and Systems Engineering, Ph.D. student, BS (09): Industrial Engineering, Tsinghua University, Beijing, China Email: wang40 at usc.edu

Jian Wu Industrial and Systems Engineering, Ph.D. student, BS (11): Automation Control, Tsinghua University, Beijing, China

Jizhe Zhang Industrial and Systems Engineering, Ph.D. student, BS (11): Automation Control, Tsinghua University, Beijing, China

¡¤ Professional Activities

1. Associate Editor, IEEE Transactions on Automation Science and Engineering, 01/2012-12/2014.

2. Associate Editor (Quality, Micro and Nano Manufacturing Systems), SME Journal of Manufacturing Systems, 2008-2011.

3. Special Issue Editor, ¡°Quality, Sensing and Prognostics Issues in Nanomanufacturing¡±, Special Issue of the IIE Transactions on Quality and Reliability Engineering/Manufacturing and Design.

4. Member of scientific committee (Editorial Board) for the North American Manufacturing Research Institution (NAMRI) of SME, 2009-2011

5. IEEE CASE 2010 Program Committee for Track Automation in Meso, Micro and Nano-Scale.

6. Council member of QSR (Quality, Statistics, and Reliability) section at INFORMS, 2010-2012.

7. Associate Editor (Automation in Meso, Micro and Nano-Scale), 2009 IEEE Conference on Automation Science and Engineering (CASE 2009).

8. Member of INFORMS, SME, IIE, ASME, IEEE.

Last updated on 07/2011