教育背景
09/2010-12/2016 德克萨斯A&M大学(德州农工大学)—大学城(Texas A&M University - College Station), 机械工程, 博士,(Ph.D)
09/2008-07/2010 湖南大学, 硕士
09/2004-07/2008 湖南大学,学士
工作经历
03/2018-至今 助理教授,仪器科学与技术系,湖南大学,中国
02/2013-05/2015 讲师, 工程技术与工业分配系, 德克萨斯A&M大学, 美国
项目课题经历
论文、成果、著作等
1. Wang, Hongjin, Hsieh, Sheng-jen et al. “Non-Metallic Coating Thickness Prediction Using Artificial Neural Network and Support Vector machine with Time Resolved Thermography.” Infrared Physics and Technology 77 (2016):316-324.
2. Wang, Hongjin, Hsieh, Sheng-jen et al. "Using active thermography to inspect pin-hole defects in anti-reflective coating with k-mean clustering." NDT & E International 76 (2015): 66-72.
3. Wang, Hongjin, Sheng-Jen Hsieh, and Alex Stockton. "Evaluating the performance of artificial neural networks for estimating the nonmetallic coating thicknesses with time-resolved thermography." Optical Engineering 53.8 (2014): 083102-083102.
4. Wang, Hongjin, et al. "Restored pseudo heat flux (RPHF) algorithm for carbon fibre composite defect detection using thermography under uneven heating." Quantitative InfraRed Thermography Journal (2017): 1-15
5. Gong, Guangcai, Jinchen Tang, Dongyan Lv, and Hongjin Wang. "Research on frost formation in air source heat pump at cold-moist conditions in central-south China." Applied energy 102 (2013): 571-581.
会议文章 (Web of Science Indexed, EI indexed):
1. Wang, Hongjin, and Sheng-Jen Hsieh. "Comparison of step heating and modulated frequency thermography for detecting bubble defects in colored acrylic glass." SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, 2015.
2. Wang, Hongjin, Sheng-Jen Hsieh, and Bhavana Singh. "Detection of pinhole defects in optical film using thermography and artificial neural network." SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, 2015.
3. Wang, Hongjin, and Sheng-Jen Hsieh. "Estimating non-metallic coating thickness using artificial neural network modeled time-resolved thermography: capacity and constraints." SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, 2014.
专利、著作版权等
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