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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.
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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/}).
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IEEE Senior Member, since December 2016.
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2013 IEEE Transactions on Automation Science and Engineering Best Paper Award, IEEE Robotics and Automation Society.
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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).
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Featured article IIE Transactions on Quality and Reliability
(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.
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2002-2003 Student of the Year at NSF Engineering Research Center for Reconfigurable Machining Systems (ERC-RMS) at University of Michigan, May 2003.