Pingfeng Wang

Pingfeng Wang

Associate Professor

310 Transportation Building

Education

  • Ph.D., Mechanical Engineering, University of Maryland, 2010
  • M.S., Applied Mathematics, Tsinghua University, China, 2006
  • B.S., Mechanical Engineering, University of Sci. & Tech. Beijing, China, 2001

Academic Positions

  • Associate Professor, Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, 8/2017 - present
  • Associate Professor, Department of Industrial and Manufacturing Engineering, Wichita State University, 8/2015 - 7/2017
  • Assistant Professor, Department of Industrial and Manufacturing Engineering, Wichita State University, 8/2010 - 7/2015

Selected Articles in Journals

  • Yodo, N.*, Wang, P., and Zhou, Z., "Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks," IEEE Trans. On Reliability, DOI: 10.1109/TR.2017.2722471, 2017.
  • Bai, G.*, and Wang, P., "Prognostics Using An Adaptive Self-Cognizant Dynamic System Approach," IEEE Trans. on Reliability, 65(3), 1427-1437, 2016.
  • Yodo, N.*, and Wang, P., "Engineering Resilience Quantification and System Design Implications: A Literature Survey," Journal of Mechanical Design, 138(11), 111408, 2016.
  • Bai, G *, and Wang, P., "An Internal State Variable Mapping Approach for Li-Plating Diagnosis," Power Sources, Vol. 323, pp.115-124, 2016.
  • Yodo, N.*, and Wang, P., “Engineering Resilience Allocation for Early State Design of Complex Engineered Systems," Journal of Mechanical Design, 138(9), 091402, 2016.
  • Wang, Z. *, and Wang, P., "Accelerated Failure Identification Sampling for Probability Analysis of Rare Failure Events," Struct. Multidiscipl. Optim. 54(1), 137-149, 2016.
  • Yodo, N. *, and Wang, P., "Resilience Modeling and Quantification for Complex Engineering Systems Using Bayesian Networks," Journal of Mechanical Design, 138(3), 031404, 2016.
  • Almaktoom, A.T. *, Krishnan, K., and Wang, P., "Cost Efficient Robust Global Supply Chain System Design under Uncertainty," International Journal of Advanced Manufacturing Technology, 85(1), pp. 853-868, 2016.
  • Wang, P., Wang, Z. *, Youn, B., and Lee, S., "Reliability-based Robust Design of Smart Sensing Systems for Failure Diagnostics Using Piezoelectric Materials," Computers & Structures, vol.156, pp.110-121, 2015.
  • Wang, Z. *, and Wang, P., "A Double-Loop Adaptive Sampling Approach for Sensitivity-Free Dynamic Reliability Analysis," Reliability Engineering and System Safety, vol.142, pp.346-456, 2015.
  • Bai, G. *, Wang, P., Hu, C., and Pecht, M., "A Generic Model-Free Approach for Lithium-ion Battery Health Management," Applied Energy, vol. 135, pp. 247-260, 2014.
  • Tamilselvan, P. *, and Wang, P., “Failure Diagnosis Using Deep Belief Learning Based Health State Classification,” Reliability Engineering and System Safety, Vol. 115, pp.124-135, 2013.

Journal Editorships

  • Editorial Board Member, SME Journal of Manufacturing Systems, 2017 ~ present
  • Review Editor, Journal of Structural and Multidisciplinary Optimization (SAMO), 2016 ~ present

Honors

  • ASME Design Automation Young Investigator Award (ASME, 2016)
  • NSF CAREER Award (NSF, 2014)
  • Wallace Award for Excellence in Research (WSU, 2014)
  • Polished Professor Award (WSU, 2014)
  • ASME-DAC Best Paper Award (ASME, 2013)
  • Young Faculty Scholar Award (WSU, 2013)
  • Young Researcher Award (ISGMA, 2012)
  • IEEE PHM Best Paper Award (IEEE Reliability Society, 2012)
  • Strategic Engineering Research Fellowship (WSU CoE, 2011)
  • First Award (NSF Kansas EPSCoR, 2011)
  • Future Faculty Program (FFP) Fellowship (U. Maryland, 2009~2010)
  • ASME-DAC Best Paper Award (ASME, 2008)
  • C. Raymond Knight Scholarship (U. Maryland, 2007)

Courses Taught

  • SE 450 - Decision Analysis I