• 1970年-2009年，上海交通大学 博士

• 2014年-2015年，美国橡树岭国家实验室（Oak Ridge National Laboratory，ORNL），ASTRO高级研究员，从事储氢装置开发与接头残余应力中子衍射表征研究。
• 2022年-至今，上海交通大学，材料科学与工程学院研究员、博士生导师，从事复杂场景下的智能化焊接研究和教学工作。

• 焊接多信息传感及知识建模
• 数字化与智能化焊接工程应用

近年来先后主持承担了国家自然科学基金3项、国家重点研发“SLM增材制造不锈钢激光填丝焊接头强韧化研究”专项1项、国家智能制造专项“航天结构制造数字化车间”子课题1项以及企业（中核、中车、上海航天等）横向合作课题多项。作为项目骨干参与了国家智能制造专项课题1项、国家自然基金面上项目1项以及国家自然基金联合基金重点项目1项。先后发表SCI/EI学术论文60余篇，授权国家发明专利15项，登记软著6项。

• Zhang X, Chai Z, Chen H, et al. A novel method to prevent cracking in directed energy deposition of Inconel 738 by in-situ doping Inconel 718[J]. Materials & Design, 2021, 197: 109214.
• Zhang X, Chen H, Xu J, et al. A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine[J]. Journal of Materials Processing Technology, 2018, 260: 9-19.
• Chen H, Wang J, Zhen G, et al. Effects of initial oxide on microstructural and mechanical properties of friction stir welded AA2219 alloy[J]. Materials & Design, 2015, 86: 49-54.
• Wu D, Chen H, Huang Y, et al. Online monitoring and model-free adaptive control of weld penetration in VPPAW based on extreme learning machine[J]. IEEE Transactions on Industrial Informatics, 2018, 15(5): 2732-2740.
• Wu D, Chen H, Huang Y, et al. Monitoring of weld joint penetration during variable polarity plasma arc welding based on the keyhole characteristics and PSO-ANFIS[J]. Journal of Materials Processing Technology, 2017, 239: 113-124.
• Huang Y, Wu D, Lv N, Chen H,et al. Investigation of porosity in pulsed GTAW of aluminum alloys based on spectral and X-ray image analyses[J]. Journal of Materials Processing Technology, 2017, 243: 365-373.
• Wu D, Huang Y, Chen H, et al. VPPAW penetration monitoring based on fusion of visual and acoustic signals using t-SNE and DBN model[J]. Materials & Design, 2017, 123: 1-14.
• Wu D, Huang Y, Zhang P, Chen H,et al. Visual-acoustic penetration recognition in variable polarity plasma arc welding process using hybrid deep learning approach[J]. IEEE Access, 2020, 8: 120417-120428.
• Chen K, Chen H, Liu L, et al. Prediction of weld bead geometry of MAG welding based on XGBoost algorithm[J]. The International Journal of Advanced Manufacturing Technology, 2019, 101(9): 2283-2295.
• Xiangfei W, Zhang X, Xukai R, Chen H,et al. Point cloud 3D parent surface reconstruction and weld seam feature extraction for robotic grinding path planning[J]. The International Journal of Advanced Manufacturing Technology, 2020, 107(1-2): 827-841.
• Wu D, Zhang P, Yu Z,Gao Y, Zhang H,Chen H,et al. Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling[J].Journal of Manufacturing Processes,2022,75: 767-791.
• Chen H, Song Y, Chen X, et al. In situ studies of full-field residual stress mapping of SS304 stainless steel welds using DIC[J]. The International Journal of Advanced Manufacturing Technology, 2020, 109(1): 45-55.
• Zhang X, Chen H, Xu L, et al. Cracking mechanism and susceptibility of laser melting deposited Inconel 738 superalloy[J]. Materials & Design, 2019, 183: 108105.
• Gao K, Chen H, Zhang X, et al. A novel material removal prediction method based on acoustic sensing and ensemble XGBoost learning algorithm for robotic belt grinding of Inconel 718[J]. The International Journal of Advanced Manufacturing Technology, 2019, 105(1): 217-232.
• Feng H, Ren X, Li L, Chen H,et al. A novel feature-guided trajectory generation method based on point cloud for robotic grinding of freeform welds[J]. The International Journal of Advanced Manufacturing Technology, 2021, 115(5): 1763-1781.
• Liu L, Chen H, Chen S. Quality analysis of CMT lap welding based on welding electronic parameters and welding sound[J]. Journal of Manufacturing Processes, 2022, 74: 1-13.
• Li L, Ren X, Feng H, et al. A novel material removal rate model based on single grain force for robotic belt grinding[J]. Journal of Manufacturing Processes, 2021, 68: 1-12.
• Chen C, Xiao R, Chen H, et al. Prediction of welding quality characteristics during pulsed GTAW process of aluminum alloy by multisensory fusion and hybrid network model[J]. Journal of Manufacturing Processes, 2021, 68: 209-224.
• Wu D, Chen Y, Chen H, et al. Influences of weaving parameters on dynamic characteristics and stability control of the droplet transfer in arc-weaving P-GMAW process[J]. The International Journal of Advanced Manufacturing Technology, 2022: 1-18.
• Ren X, Huang X, Chai Z, Chen H,et al. A study of dynamic energy partition in belt grinding based on grinding effects and temperature dependent mechanical properties[J]. Journal of Materials Processing Technology, 2021, 294: 117112.

• 智能化焊接与材料精密制造研究所
• 智能化焊接与材料精密制造研究所
• 智能化焊接与材料精密制造研究所
• 智能化焊接与材料精密制造研究所

• 上海市科技进步二等奖
• 上海交通大学“烛光奖励计划”二等奖
• 上海交通大学“教学成果奖”特等奖
• 上海交通大学晨星计划-SMC优秀青年教师
• 中国机械工业科学技术一等奖