程崇晟,副教授,硕士研究生导师,重庆巴渝青年学者。博士毕业于美国内布拉斯加大学林肯分校。主要研究方向为土木结构无损检测,专注于基于红外热成像、计算机视觉与人工智能的检测原理、分析与集成研究。于2020年获得美国内布拉斯加大学林肯分校博士学位,在2021年加入重庆交通大学山区桥梁及隧道工程国家重点实验室,并担任土木工程学院导师。目前主持国家自然科学基金项目2项,国家重点研发计划项目子课题1项,省部级项目4项。发表SCI/EI论文23篇,担任《Automation in Construction》、《Construction and Building Materials》等国际期刊审稿人与编辑。
欢迎对计算机图像、病害检测、无人机巡检、智能建造等方面感兴趣的同学积极联系。鼓励有计算机编程基础或对此感兴趣的同学积极联系!联系方式ccheng@cqjtu.edu.cn
2025年招收计划:
(一)计算机科学与技术:
学科交叉融合:机器视觉、图像处理与深度学习方向
(二)土木工程结构病害---智能检测:
土木结构隐蔽病害检测方向
(三)土木工程建造过程---智能感知:
桥梁建造过程状态识别与测量方向
(四)土木工程结构状态---智能测绘:
桥梁结构服役状态识别与测量方向
ANEES-LAB课题小组秉承“人无我有,人有我优,无限进步”的团队Slogan。
团队精神:人人为我,我为人人,精益求精,潇洒人间走一遭!
团队理念:努力工作尽情生活、以人为本人的人文关怀、实事求是科研面前人人平等。
团队文化:ANEES每一位都是闪闪发光的金子!
教育背景
博 士:工程建造与管理,University of Nebraska-Lincoln,美国 (2014-2020)
硕 士:土木结构工程, University of Nebraska-Lincoln,美国 (2012-2014)
学 士:水利水电工程, 四川大学(2007-2011)
科研工作经历
副教授: 重庆交通大学 (2022-至 今)
讲 师: 重庆交通大学 (2021-2022)
博士后: 重庆交通大学 (2021-至 今)
University of Nebraska-Lincoln ,美国 (2020-2021)
研究助理:University of Nebraska-Lincoln ,美国 (2018-2020)
教学助理:University of Nebraska-Lincoln ,美国 (2014-2018)
研究兴趣
(1)基于光学成像(红外光、可见光、激光)的结构病害诊断;
(2)基于计算机视觉与深度学习的结构病害量化与绘制;
(3)基于无人机搭载,多传感器融合的土木结构扫描与感测。
部分科研项目
1、国自然基金面上项目(PI):钢管混凝土拱桥脱空的红外热成像检测机理与诊断方法研究 (2025-2028,在研)
2、国家重点研发计划项目子任务(PI):基于红外成像原理的钢管混凝土脱空定量检测关键技术(2023-2026,在研)
3、国自然基金青年项目(PI):混凝土桥面结构次表面脱层缺陷的多光谱成像诊断研究 (2022-2024,结题)
4、中国博士后科学基金特别资助(PI):基于多光谱融合成像与机器视觉的桥梁结构病害诊断研究(2024-2026,在研)
5、重庆市自科基金面上项目(PI):混凝土结构脱层病害的红外成像特征自生成理论与检测自动化(2022-2025,在研)
6、重庆市博士后特别资助(PI):基于深度学习的混凝土结构脱空病害红外探测与绘制研究(2022-2024,结题)
7、重庆市留创项目(PI):超低空数采下桥梁结构浅表层无损检测的多光谱融合成像研究(2021-2023,结题)
8、重庆建工**公司(CO-PI):基于红外成像的房建混凝土结构隐蔽病害检测可视化成套技术研发(2024-2026,在研)
部分科研论文
2025
[1] Cai, H., Cheng, C *, Wang, L., Zhang, H., Zhou, J., Na, R., & Wu, B. (2025). Numerical and experimental study on the evolution of thermal contrast for infrared detection of debonding in concrete filled steel tubular structure. Applied Thermal Engineering, 124743. (SCI 一区 TOP期刊)
[2] Aljagoub, D., Na, R., & Cheng, C. (2025). Delamination detection in concrete decks using numerical simulation and UAV-based infrared thermography with deep learning. Automation in Construction, 170, 105940. (SCI 一区 TOP期刊)
[3] Cai, H., & Cheng, C *. (2025). Experimental Investigation of Infrared Detection of Debonding in Concrete-Filled Steel Tubes via Cooling-Based Excitation. Buildings, 15(3), 465. (SCI 三区)
[4] Aljagoub, D., Na, R., & Cheng, C. (2025). Toward Practical Guidelines for Infrared Thermography of Concrete Bridge Decks: A Preliminary Investigation Across US Climate Zones. Case Studies in Construction Materials, e04502.(SCI 二区)
2024
[1] Cai H, Cheng C *, Na R, et al. (2024). Cooling-Excited Infrared Thermography for Enhancing the Detection of Concrete Filled Steel Tube Interfacial Debonding at Concrete Hydration. Case Studies in Construction Materials, e02995. (SCI 二区)
[2] Cheng, C., Cheng, X., Zhang, H., Cai, H., Zhou, J., Na, R., & Wu, B. (2024). Experimental Study on Infrared Detection of Debonding in Concrete-filled Steel Tubular Structure under Acceleratory Period of Hydration Heat Action. Case Studies in Construction Materials, e03928.(SCI 二区)
[3] Cheng, C., Chen, D., Cai, H., Wang, S., Wang, R., & Cheng, X. (2024). Investigation of the effect of surface condition variation on infrared imaging of concrete delamination. In Bridge Maintenance, Safety, Management, Digitalization and Sustainability (pp. 2409-2416). CRC Press.(EI)
[4] Cheng, C., Chen, D., Shao, S., Na, R., Cai, H., Zhou, H., & Wu, B. (2024). Revealing the Impact of Depth and Surface Property Variations on Infrared Detection of Delamination in Concrete Structures Under Natural Environmental Conditions. Buildings, 15(1), 10.(SCI 三区)
[5] Tang, Y., Huang, B., Wang, S., Zhou, J., Xiang, Z., Sheng, C., ... & Ruan, L. (2024). Computer vision-based real-time continuous monitoring of the pose for large-span bridge cable lifting structures. Automation in Construction, 162, 105383. (SCI 一区 TOP期刊)
2023-2019
[1] 王邵锐, 王犇, 程崇晟 *等. 基于线形识别的索力测量方法影响因素研究[J]. 中国公路学报, 2023, 36(2): 154-165. (EI)
[2] Aljagoub D, Na R, Cheng C, et al. Performance Evaluation of Uncooled UAV Infrared Camera in Detecting Concrete Delamination[J]. Infrastructures, 2022, 7(12): 163.(ESCI)
[3] Cheng C, and Zhigang Shen. Semi real-time detection of subsurface consolidation defects during concrete curing stage. Construction and Building Materials, 270 (2021): 121489. (SCI 一区 TOP期刊)
[4] Cheng C, Zhexiong Shang, and Zhigang Shen. "Automatic delamination segmentation for bridge deck based on encoder-decoder deep learning through UAV-based thermography." NDT & E International 116 (2020): 102341. (SCI 一区 TOP期刊)
[5] Cheng C, and Zhigang Shen. "The application of gray-scale level-set method in segmentation of concrete deck delamination using infrared images." Construction and Building Materials 240 (2020): 117974. (SCI 一区 TOP期刊)
[6] Cheng C, Zhexiong Shang, and Zhigang Shen. "Bridge deck delamination segmentation based on aerial thermography through regularized grayscale morphological reconstruction and gradient statistics." Infrared Physics & Technology 98 (2019): 240-249. (SCI 二区)
[7] Cheng C, Ri Na, and Zhigang Shen. "Thermographic Laplacian-pyramid filtering to enhance delamination detection in concrete structure." Infrared Physics & Technology 97 (2019): 162-176. (SCI 二区)
[8] Cheng C, Zhexiong Shang, and Zhigang Shen. "CNN-based deep architecture for reinforced concrete delamination segmentation through thermography." In Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, pp. 50-57. Reston, VA: American Society of Civil Engineers, 2019. (EI)
[9] Cheng C, and Zhigang Shen. "Time-Series Based Thermography on Concrete Block Void Detection." In Construction Research Congress 2018, pp. 732-742. (EI)
[10] Cheng C, and Zhigang Shen. "Mechanism and Measurements of Fall Due to Loss-of-Balance for Construction Workers." In Construction Research Congress 2018, pp. 400-411. (EI)
[11] Shang, Zhexiong, Cheng C, and Zhigang Shen. "A Data Fusion Platform for Supporting Bridge Deck Condition Monitoring by Merging Aerial and Ground Inspection Imagery." In Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, pp. 299-305. Reston, VA: American Society of Civil Engineers, 2019. (EI)