<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>P. Hu | MAAL</title><link>https://maal.hkust.edu.hk/authors/p.-hu/</link><atom:link href="https://maal.hkust.edu.hk/authors/p.-hu/index.xml" rel="self" type="application/rss+xml"/><description>P. Hu</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 27 Dec 2026 00:00:00 +0000</lastBuildDate><item><title>Property-controllable process planning for multi-axis hybrid manufacturing of complex metal parts</title><link>https://maal.hkust.edu.hk/publications/property-controllable-process-planning-for-multi-axis-hybrid-manufacturing-of-complex-meta/</link><pubDate>Sun, 27 Dec 2026 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/property-controllable-process-planning-for-multi-axis-hybrid-manufacturing-of-complex-meta/</guid><description>&lt;p&gt;He, D., Hao, J., Lau, T.Y., Huang, L., Chen, Y., Hu, P., Xie, J., Duan, M., Liu, X., Tang, K.*, 2026, &amp;ldquo;Property-controllable process planning for multi-axis hybrid manufacturing of complex metal parts,&amp;rdquo; Computers in Industry, 179.&lt;/p&gt;</description></item><item><title>Dynamic mode decomposition-based modeling and toolpath optimization of a robotic single point incremental forming process</title><link>https://maal.hkust.edu.hk/publications/dynamic-mode-decomposition-based-modeling-and-toolpath-optimization-of-a-robotic-single-po/</link><pubDate>Thu, 24 Dec 2026 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/dynamic-mode-decomposition-based-modeling-and-toolpath-optimization-of-a-robotic-single-po/</guid><description>&lt;p&gt;Asghar, A., He, S., Hu, P., Duan, M.*, 2026, &amp;ldquo;Dynamic mode decomposition-based modeling and toolpath optimization of a robotic single point incremental forming process,&amp;rdquo; Journal of Manufacturing Processes, 167, pp. 507-531.&lt;/p&gt;</description></item><item><title>An efficient cutter-facet model projection method and applications to five-axis tool path computation</title><link>https://maal.hkust.edu.hk/publications/an-efficient-cutter-facet-model-projection-method-and-applications-to-five-axis-tool-path-/</link><pubDate>Wed, 23 Dec 2026 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/an-efficient-cutter-facet-model-projection-method-and-applications-to-five-axis-tool-path-/</guid><description>&lt;p&gt;Li, X., Hu, P.*, Huang, L., Chen, H., Duan, M., Zhang, X., 2026, &amp;ldquo;An efficient cutter-facet model projection method and applications to five-axis tool path computation,&amp;rdquo; International Journal of Advanced Manufacturing Technology.&lt;/p&gt;</description></item><item><title>Bead geometry prediction of directed energy deposition based on spatio-temporal neural network model</title><link>https://maal.hkust.edu.hk/publications/bead-geometry-prediction-of-directed-energy-deposition-based-on-spatio-temporal-neural-net/</link><pubDate>Tue, 22 Dec 2026 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/bead-geometry-prediction-of-directed-energy-deposition-based-on-spatio-temporal-neural-net/</guid><description>&lt;p&gt;Chen, Y., Zhang, W., Wang, Y., Hu, P.*, Duan, M., Fu, Z., Deng, X., 2026, &amp;ldquo;Bead geometry prediction of directed energy deposition based on spatio-temporal neural network model,&amp;rdquo; International Journal of Advanced Manufacturing Technology.&lt;/p&gt;</description></item><item><title>DED bead geometry and profile prediction with multimodal spatio-temporal neural networks</title><link>https://maal.hkust.edu.hk/publications/ded-bead-geometry-and-profile-prediction-with-multimodal-spatio-temporal-neural-networks/</link><pubDate>Mon, 29 Dec 2025 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/ded-bead-geometry-and-profile-prediction-with-multimodal-spatio-temporal-neural-networks/</guid><description>&lt;p&gt;Zhang, W., Wang, Y., Chen, Y., Deng, X., Wang, Y., Duan, M., Hu, P., Tang, K.*, 2025, &amp;ldquo;DED bead geometry and profile prediction with multimodal spatio-temporal neural networks,&amp;rdquo; Additive Manufacturing, pp. 104952.&lt;/p&gt;</description></item><item><title>Freeform trajectory generation for fiber reinforced polymer composites additive manufacturing with variable-deposition-width</title><link>https://maal.hkust.edu.hk/publications/freeform-trajectory-generation-for-fiber-reinforced-polymer-composites-additive-manufactur/</link><pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/freeform-trajectory-generation-for-fiber-reinforced-polymer-composites-additive-manufactur/</guid><description>&lt;p&gt;Bi, D., Hu, P., Li, Z., Hao, J., Tang, K., Duan, M.*, 2024, &amp;ldquo;Freeform trajectory generation for fiber reinforced polymer composites additive manufacturing with variable-deposition-width,&amp;rdquo; Composites Part A: Applied Science and Manufacturing, 188, pp. 108516.&lt;/p&gt;</description></item></channel></rss>