教学与人才培养： 1. 主持《面向智能制造的运筹学项目制教学方法研究》校级重点教改项目； 2. 参与《计算机辅助制造》校级一流课程建设; 3. 参与研究生教学改革项目《智能制造新工科本研一体化创新人才科教融通培养模式与机制》 4. 主讲教育部来华精品课《先进制造技术概论》（英文）； 5. 联合申报国家留学基金委《中法高端装备智能制造创新型人才培养项目》。 6. 培养多名学生获得国家奖学金 科研项目：主持并参与国家自然科学基金项目、科技部重点研发项目、XX预研、航空航天企业应用等项目多项。 代表性科研项目： 1.国家自然科学基金面上项目，《面向增材制造几何偏差控制的扫描线补偿策略》，2026/01-2029/12，主持 2.国家自然科学基金青年项目，《基于扫描线的增材制造表面形状偏差形成机理研究》，2021/01-2023/12，主持 3.国家重点研发计划重大专项子课题，《*构建的关键技术研究及应用》，2021/11-2024/10，子课题负责人 4.国家重点研发计划重大专项子课题，《支持协同*的研发设计流程与资源融合技术》，2019/11-2022/10，项目骨干 5.国家自然科学基金面上项目，《多轴增材制造高尺寸稳定复合材料结构纤维路径建模、不确定性分析与优化设计》，2026/01-2029/12，项目骨干 代表性论文（一作/通讯）： 1.Guo K, Huang Z*, et al. Improved inherent strain extraction algorithm based analytical surface modeling for Ti-6Al-4V and SS316L selective laser melting part[J]. Journal of Manufacturing Processes, 2023, 101: 618-638. 2.Li Y, Qiao L, Huang Z*, et al. A novel method for assemblability evaluation of non-Ideal cylindrical parts assembly[J]. Computer-Aided Design, 2021, 134: 103002. 3.Shao P, Huang Z, Qiao L, et al. A novel assembly knowledge graph construction framework enhanced by large language model[J]. The International Journal of Advanced Manufacturing Technology, 2025: 1-17. 4.Zhang J, Qiao L, Huang Z*, et al. Force constraint-based approach to compute the position and orientation of parts assembled by multiple non-ideal planes[J]. Precision Engineering, 2023, 83: 58-68. 5.Li Y, Qie Y, Huang Z*, et al. A novel optimization algorithm for assemblable region boundary points search in high-dimensional posture space of parts assembly[J]. The International Journal of Advanced Manufacturing Technology, 2023, 128(9-10): 4615-4633. 6. Guo K, Qiao L, Huang Z*, et al. A computational model of melt pool morphology for selective laser melting process[J]. The International Journal of Advanced Manufacturing Technology, 2022: 1-23. 7.Li Y, Qiao L, Huang Z*, et al. A Novel Method for Assemblability Evaluation of Non-Ideal Cylindrical Parts Assembly[J]. Computer-Aided Design, 2021, 134: 103002. 8.Zhang J, Qiao L, Huang Z*, et al. An approach to analyze the position and orientation between two parts assembled by non-ideal planes[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2021, 235(1-2): 41-53. 9.Qiao L, Zhang Z, Huang Z*. A scheduling algorithm for multi-workshop production based on BOM and process route[J]. Applied Sciences, 2021, 11(11): 5078. 10.Qiao L, Zhang Z, Huang Z*. Construction of Multi-Project Network Planning Based on BOM and Its Resource Leveling[J]. IEEE Access, 2021, 9: 71887-71899. 11.Huang Z, Dantan J Y, Etienne A, et al. Geometrical deviation identification and prediction method for additive manufacturing[J]. Rapid Prototyping Journal, 2018. 12.Dantan J Y, Huang Z*, Goka E, et al. Geometrical variations management for additive manufactured product[J]. CIRP Annals, 2017, 66(1): 161-164. 13.Huang Z, Cao Y, Cao Y, et al. A prediction method of surface geometric deviation for additive manufacturing parts based on knowledge-integrated deep learning algorithm[J]. Procedia CIRP, 2024, 129: 19-24. 14.Huang Z, Cao Y, Guo K. Study on the Influence of Additive Manufacturing Process Parameters on Internal-channel Part Geometrical Quality[C]//17th CIRP Conference on Computer Aided Tolerancing 2022. Metz, France. 15.Cao Y, Huang Z*, Guo K. A Description Method of In-plane Geometric Deviation of Parts Based on Scanning Toolpath Deviation Coordinate System[C]//17th CIRP Conference on Computer Aided Tolerancing 2022. Metz, France. 16.Xu X, Huang Z*, Qiao L. A knowledge-embedding-based approach for process- decision knowledge mining[C]// The Conference on Intelligent Networked Things (CINT2022), 2022, Urumqi, China. 17.Cao Y, Huang Z*, Cao Y, et al. Prediction of the Melt Pool Size in Single-layer Single-channel Selective Laser Melting Based on Neural Network[C]// The Conference on Intelligent Networked Things (CINT2022), 2022, Urumqi, China. 18.Zhang Z. Qiao L, Huang Z*. Dynamic Scheduling Method of Multi-objective Job Shop Based on Reinforcement Learning[C]// The Conference on Intelligent Networked Things (CINT2022), 2022, Urumqi, China. 19.Shao P, Qiao L, Huang Z*. A Knowledge Content Matching Degree Calculation Method Supporting Process Knowledge Recommendation[C]// The Conference on Intelligent Networked Things (CINT2022), 2022, Urumqi, China. 20.Guo K, Qiao L, Huang Z*. The Effects of Additive Manufacturing Process Factors on Component Geometric Shape Deviation: A Review[C]// The 49th International Conference on Computers & Industrial Engineering 2019, Beijing.
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