Wenzhen Huang, PhD
Science & Engineering 116C
|2004||University of Wisconsin||PhD in Industrial Engineering|
|1987||Shanghai Jiatong University||PhD|
- Engineering and Applied Science PhD
- Industrial and Systems Engineering Graduate Certificate
- Mechanical Engineering BS, BS/MS
- Mechanical Engineering MS
- $ 31,911 awarded by University of Delaware for National Institute for Innovation in Manufacturing Biopharmaceuticals
- Computer Aided Tolerance Analysis and Optimization (NSF & UMASSD Chancellor's Fund)
- Diagnostics in Manufacturing (ATP/NIST)
- MEMS and NANOManufacturing
- Modeling, Simulation, and Optimization of Manufacturing Systems (ATP/NIST)
- Quality Engineering and Applied Statistics
- W. Huang, B. R. Konda, Z. Kong (2010).
"Geometric Tolerance Simulation Model for Rectangular and Circular Planar Features"
- W. Huang, Z. Kong, A. Chennamaraju (2010).
"Fixture Robust Design by Sequential Space Filling Methods in Multi-Station Manufacturing Systems"
ASME Trans. Journal of Computing & Information Science in Engineering (JCISE)
- W. Huang, Z. Kong (2009).
"Process Capability Sensitivity Analysis for Design Evaluation of Multi-Station Assembly Systems"
IEEE Trans., Special Issue on Advances in Automation Science and Engineering for Automotive Manufacturing
Wenzhen Huang obtained his Ph.D. in Industrial Engineering from The University of Wisconsin-Madison in 2004 and worked as postdoctoral research fellow at UW-Madison. He also worked as a professor of Mechanical Engineering at Shanghai Jiaotong University, China, for about 5 years.
Professor Huang's interests are in product and manufacturing process modeling, simulation, design analysis and optimization, and diagnosis for variation reduction and quality improvement. Specific topics in his recent and current research include streams of variation modeling and analysis (SOVA) in multi-stage manufacturing systems, compliant assembly process, GD&T modeling and simulation, statistical tolerance analysis and synthesis, probabilistic design and optimization, metrology and sensor system, and statistical signal processing for diagnosis and quality control. The application area covers automotive, fuel cell, MEMS,aerospace, shipbuilding, power industries, and general mechanical products and manufacturing systems design. His research has been and is supported by ATP/NIST, NSF, and UMASSD Chancellor's Fund.