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Honors & Awards


  • First-year PhD student Nathan Decker won the RAMP (Reusable Abstractions of Manufacturing Processes) 2019 Competition (https://event.asme.org/MSEC/Program/RAMP- 2019-Competition), the 2019 ASME 14th International Manufacturing Science and Engineering Conference, Erie, PA, June 10-June 14, 2019.
  • Keynote speaker, “Geometric Shape Accuracy Control for Additive Manufacturing Through Machine Learning,”  European Forum on Additive Manufacturing, June 27-29, 2017, Paris, France ({\tt http://www.afpr.asso.fr/les-assises/}).
  • IEEE Senior Member, since December 2016.
  • 2013 IEEE Transactions on Automation Science and Engineering Best Paper Award, IEEE Robotics and Automation Society.
  • Best Application Paper Award Finalist, the tenth IEEE International Conference on Automation Science and Engineering (CASE 2014), August 18-22, 2014, Taipei, Taiwan
    (a)Huang, Q., Nouri, H., Xu, K., Chen, Y., Sosina, S., and Dasgupta, T., 2014, “Predictive Modeling of Geometric Deviations of 3D Printed Products – A Unified Modeling Approach for Cylindrical and Polygon Shapes, ” the tenth IEEE International Conference on Automation Science and Engineering (CASE 2014).
  • NSF Faculty Early Career Development (CAREER) Award, 2011.
  • Featured article IIE Transactions on Quality and Reliability
    (a)Huang, Q., Zhang, J., Sabbaghi, A., and Dasgupta, T., 2015, “Optimal Offline Compensation of Shape Shrinkage for 3D Printing Processes, IIE Transactions on Quality and Reliability, Vol. 47, No. 5, pp. 431-441.
    (b)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.
    (c)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.
  • 2002-2003 Student of the Year at NSF Engineering Research Center for Reconfigurable Machining Systems (ERC-RMS) at University of Michigan, May 2003.