Qiang Huang, Ph.D.

Associate Professor

Department of Industrial and Management Systems Engineering

University of South Florida

 

Contact Information:

Phone: 813-974-5579                                                                                     

Fax:     813-974-5953

Email: huangq@eng.usf.edu

 

(Dr. Huang will move to University of Southern California in fall 2009)

 

 

Education 

Teaching

Research Interests

Grants and Projects

Publications

Nanomanufacturing Quality Control Laboratory (Nano-QCLab)

Honors and Awards

      My lovely daughter and son

Ph.D. Graduates 

Professional Activities

 

CV

 


 

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 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

New process control paradigm for nanomanufacturing

Mathematical modeling and control of manufacturing uncertainty

Statistical inference of dynamic causality in complex physiological networks

 

 

Grants and Projects

1.    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).

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

3.   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)).

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

5.   PI, “Multiscale Nanostructure Growth Modeling for Control of Nanomanufacturing,” Functional Multiscale Materials by Design Initiative, University of South Florida, Summer Support, 2007.

6.   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.

7.    PI, “Process Control based on Multivariate Functional Data,” USF Internal Award, 2004.

 

Publications Since 2000

Refereed Journals and Transactions

1.      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, in press.

2.      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.

3.      Wang, H., Kababji, H., and Huang, Q., 2008, “Monitoring Global and Local Variations in Multichannel Functional Data for Manufacturing Processes,” NAMRI/SME Transactions, Vol. 36, pp. 469-476.

4.      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.

5.      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.

6.      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.

7.      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.

8.      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.

9.      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.

10. 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.

11.  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.

12.  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.

13.  Huang, Q., Shi, J., 2003, “Simultaneous Tolerance Synthesis through Variation Propagation Modeling of Multistage Manufacturing Processes,” NAMRI/SME Transactions, 31, pp. 515-522.  

14.  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.

15.  Huang, Q., Zhou, S., and Shi, J., 2002, “Diagnosis of Multi-Operational Machining Processes through Process 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.

 

 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. Currently the Nano-QCLab is equipped with the state-of-the-art in situ thermal imaging tool to observe nanostructure growth and is in the process of acquiring nanostructure growth equipment.

Honors and Awards

Research work highlighted by IIE Industrial Engineer: 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.

Nominated for 2005 ASME International Mechanical Engineering Congress & Exposition Best Paper Award: Wang, H., Huang, Q., 2005, “Automatic Process Adjustment for Reducing Dimensional Variation in Discrete Part Machining Processes,” Proceedings of 2005 International Mechanical Engineering Congress & Exposition, MED-10A, IMECE2005-80406, Nov. 5-11, Orlando, FL.

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

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

 

Ph.D. Graduates

1.      Hui Wang, “Error Equivalence Theory for Manufacturing Process Control,” Graduated in 2007.

Current position: post-doc fellow 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, Expected to graduate in 2009.

Current position:

 

Professional Activities

1.      Associate Editor (Quality, Micro and Nano Manufacturing Systems), SME Journal of Manufacturing Systems

2.      Member of INFORMS, SME, IIE, ASME, MRS.

 

Last updated on 07/2008