Qin Cheng is a dedicated and innovative civil engineering researcher with a strong focus on integrating advanced digital technologies such as Building Information Modeling (BIM), 3D laser scanning, and Unmanned Aerial Vehicle (UAV) systems into modern construction and infrastructure projects. Born in March 1994, he has consistently demonstrated academic excellence, practical engineering insight, and a deep interest in smart city development and sustainable infrastructure. His work spans across both academic and applied settings, with a particular emphasis on intelligent monitoring systems, reverse modeling, and digital design optimization. He has contributed to various high-profile research initiatives and collaborative international projects, particularly during his tenure as a visiting scholar at the University of Louvain. Qin Cheng has also been actively involved in training graduate students, guiding technical design, and promoting intelligent construction practices. His experience working with institutions such as the Chongqing Leuven Institute of Smart City and Sustainable Development and contributions to international exhibitions like the China Intelligent Industry Expo reflect his ability to bridge academic research with real-world applications. With a clear commitment to advancing civil engineering practices through technology and innovation, Qin Cheng continues to emerge as a promising voice in the field of smart construction and structural engineering.
Professional Profile
Education
Qin Cheng’s academic journey in civil engineering began with a Bachelor of Engineering from Zhengzhou Institute of Technology and Business, where he studied from September 2013 to July 2017. Building on a solid undergraduate foundation, he pursued a Master of Engineering in Civil Engineering with a structural specialization at Chongqing Jiaotong University from September 2017 to July 2020. During his master’s studies, Qin demonstrated exceptional academic and research abilities, further enriching his education through international exposure. Between October 2018 and January 2019, he served as a visiting scholar at the University of Louvain in Belgium, engaging in scholarly exchanges focused on construction waste regeneration and sustainable urban development. This international experience broadened his perspective on global engineering practices and enhanced his research on smart city applications. His academic background is marked by strong technical competence in structural systems, intelligent monitoring, and construction digitization. Through both domestic and international institutions, Qin Cheng has built a strong academic profile grounded in research excellence, multidisciplinary learning, and hands-on application of modern civil engineering technologies.
Professional Experience
Qin Cheng has built a diverse portfolio of professional experience that merges academic research, international collaboration, and field application. One of his notable professional engagements was his time as a visiting scholar at the University of Louvain (October 2018 to January 2019), where he contributed to academic exchanges on sustainable urban development and construction waste regeneration. He also engaged with world-renowned engineering firms such as Jan de Nul Group to explore cutting-edge civil engineering practices. Qin served as a researcher at the Chongqing Leuven Institute of Smart City and Sustainable Development, where he played a key role in conducting technical breakthroughs in forward design, reverse modeling, and intelligent monitoring systems. His responsibilities included training graduate students in architectural information technology, guiding bridge reverse modeling projects in Norway, and participating in major events such as the China International Intelligent Industry Expo. His professional activities emphasize the integration of BIM and 3D technologies into infrastructure development. Through his involvement in large-scale projects such as the Taihong Yangtze River Bridge and the FAW-Volkswagen Digital Factory, Qin has effectively applied his academic expertise to real-world engineering challenges. His career path reflects a commitment to technological innovation, cross-border collaboration, and the advancement of intelligent infrastructure systems.
Research Interests
Qin Cheng’s research interests center on the integration of advanced digital technologies in civil engineering, with a particular focus on intelligent construction and infrastructure management. He is deeply engaged in developing and applying Building Information Modeling (BIM), 3D laser scanning, and UAV technologies to improve the design, monitoring, and maintenance of civil structures. His work explores how digital tools can optimize construction processes, enhance precision in modeling, and support virtual simulations for pre-assembly. Qin is also interested in reverse modeling techniques for complex structures, smart monitoring of bridges and buildings, and the use of point cloud data in structural analysis. His international collaborations have further shaped his interest in sustainable urban development, where he examines how smart technologies can be leveraged to build resilient, efficient cities. Through projects focused on highway management systems, digital curtain wall design, and large-scale bridge construction, he aims to create innovative solutions that address contemporary challenges in civil engineering. Qin’s research embodies a forward-thinking approach that blends theoretical modeling with practical application, striving to make infrastructure safer, more efficient, and more intelligent through continuous technological advancement.
Research Skills
Qin Cheng possesses a robust set of research skills that enable him to address complex challenges in civil and structural engineering through technological innovation. His core competencies include advanced proficiency in Building Information Modeling (BIM) and 3D laser scanning, which he has used extensively for deformation monitoring, digital pre-assembly, and reverse modeling of both buildings and bridges. He is skilled in UAV route planning and tilt photography for site inspections and large-scale mapping, showcasing his adaptability in remote sensing applications. His hands-on experience with point cloud data processing enables him to conduct accurate structural analysis and digital model construction. Qin is also proficient in integrating BIM with IoT systems for smart bridge management, combining sensor data with digital modeling for real-time infrastructure monitoring. In academic and collaborative environments, he has guided graduate students in technical training and project design, demonstrating strong mentorship capabilities. He is comfortable working across international platforms and has presented his work at major conferences. Qin’s methodological rigor, combined with his technical agility, allows him to innovate across design, monitoring, and operational aspects of civil engineering projects. His ability to apply research techniques to practical scenarios is a key strength in his professional and academic career.
Awards and Honors
Throughout his academic and early research career, Qin Cheng has received several prestigious awards and honors that reflect his dedication, excellence, and potential in the field of civil engineering. During his undergraduate studies, he was consistently recognized with merit-based scholarships, including the National Encouragement Scholarship and first-class and second-class academic scholarships. His excellence continued into his postgraduate years at Chongqing Jiaotong University, where he was awarded the Beijing CCCC Road Tong Million Scholarship and the first-class postgraduate scholarship. In 2020, he won the second prize in the “My College Life” competition and the third prize in the “Transportation BIM Engineering Innovation Award” from the China Highway Society. These accolades highlight both his academic achievements and his contributions to engineering innovation. His participation in various international academic events and his role in large-scale national infrastructure projects further affirm his growing reputation in the field. The consistent recognition of his work through these awards underscores his capability to combine theoretical knowledge with practical engineering excellence. These honors are a testament to his talent, perseverance, and impact in advancing intelligent construction technologies and modern infrastructure development.
Conclusion
In conclusion, Qin Cheng emerges as a highly motivated and capable young researcher with a strong foundation in civil engineering and a clear commitment to technological innovation in infrastructure development. His integration of BIM, 3D laser scanning, and UAV systems into design and monitoring processes showcases his forward-thinking approach and alignment with the needs of smart and sustainable urban construction. With a solid academic background, international experience, and a growing body of research publications, he brings both technical expertise and practical insight to the field. Although he currently holds a master’s degree, his trajectory suggests significant potential for further academic advancement and research leadership. He has demonstrated the ability to bridge academic research with real-world engineering applications, making valuable contributions to both scholarly and professional communities. While increasing publication in top-tier journals and engaging in patent development could further enhance his profile, Qin Cheng has already laid a strong foundation for a successful research career. He is a suitable and deserving candidate for recognition in early-stage researcher or emerging researcher award categories and has the capacity to evolve into a leading expert in smart construction and digital civil engineering in the years ahead.
Publications Top Notes
- Title: Automatic Construction of 3D Building Property Rights Model Based on Visual Programming Language in China
Authors: Qin, Guocheng; Hu, Yuqing; Wang, Ling; Liu, Ke; Hou, Yimei
Journal: Advances in Civil Engineering
Year: 2024