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[Invited 17] Zhao, X. (2021). Toward Efficient Qualification of Laser Powder Bed Fusion (LPBF) based Metal Additive Manufacturing. Department of Aerospace and Mechanical Engineering, University of Texas at Arlington. USA.
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[Invited 16] Zhao, X. (2021). Combined in-situ monitoring of meltpool, powder layer, and part topography for laser powder bed fusion (LPBF) based metal additive manufacturing. Symposium of Additive Manufacturing of Metals: Equipment, Instrumentation and In-Situ Process Monitoring, TMS Materials Science and Technology Conference 2021, Columbus, Ohio, October 17-21, 2021.
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[Invited 15] Zhao, X. (2021). Data-Driven Additive Manufacturing. Department of Aerospace and Mechanical Engineering, University of Notre Dame. USA.
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[Invited 14] Zhao, X. (2020). Qualification for Additive Manufacturing. Women in 3D Printing Pittsburgh Chapter. USA.
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[Invited 13] Zhao, X. (2019). Data Mining assisted in-situ Geometrical Measurement for Photopolymerization based Additive Manufacturing. School of Mechanical Engineering, Shanghai Jiao Tong University. Shanghai, China.
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[Invited 12] Zhao, X. (2018). Digitalizing AM - A Smart Photopolymer AM System enabled by Automatic Process Planning and Real-time Measurement & Control. School of Engineering and Computer Science, University of Texas at Dallas. TX, USA.
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[Invited 11] Zhao, X. (2018). An Intelligent Photopolymer Additive Manufacturing System. Department of Mechanical Engineering, University of Delaware. Newark, Delaware.
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[Invited 10] Zhao, X. (2018). Digitalizing a Photopolymer Additive Manufacturing Process with Data Mining Algorithms and Real-time Measurement & Control Approach. College of Engineering and Technology, Northern Illinois University. IL, USA.
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[Invited 09] Zhao, X. (2018). Towards Digitalizing a Photopolymer AM Process with Real-time Measurement & Control and Machine Learning. School of Mechanical and Aerospace Engineering, Oklahoma State University. Stillwater, OK, USA.
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[Invited 08] Zhao, X. (2018). Towards Digitalized AM - A Smart Photopolymer based AM System enabled by Real-time Measurement & Control and Machine Learning. Department of Mechanical Engineering, National University of Singapore. Singapore.
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[Invited 07] Zhao, X. (2018). Measurements & Sensing Systems: Optical Sensing Technologies. School of Mechanical and Aerospace Engineering, Nanyang Technological University. Singapore.
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[Invited 06] Zhao, X. (2018). Digital Additive Manufacturing — one paradigm of a holistic approach to advance manufacturing. School of Mechanical and Aerospace Engineering, Nanyang Technological University. Singapore.
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[Invited 05] Zhao, X. (2017). A sophisticated approach to improve additive manufacturing process accuracy: real-time measurement and control. University of Michigan - Shanghai Jiao Tong University Joint Institute. Shanghai, China.
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[Invited 04] Zhao, X. (2017). Intelligent Precision Additive Manufacturing enabled by Real-time Process Measurement and Control. Southern University of Science and Technology, Shenzhen, China.
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[Invited 03] Zhao, X. (2017). Engineering Education with and for Digital Additive Manufacturing. Department of Mechanical, Materials, and Aerospace Engineering, Illinois Institute of Technology. Chicago, IL.
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[Invited 02] Zhao, X. (2017). To advance manufacturing — one pivotal thruster: precision additive manufacturing. Department of Mechanical and Aerospace Engineering, University at Buffalo. Buffalo, NY.
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[Invited 01] Zhao, X. (2017). To advance additive manufacturing - one facilitating pillar: process measurement and control. Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst.