Doctoral Researcher at Tongji university, China.
Jiaqi Chang is a dedicated researcher specializing in tunnel and underground engineering. 🌌👷♂️ His passion for advancing civil and geotechnical engineering has driven him to excel in academia and research. Currently pursuing a dual Doctor of Engineering degree at Tongji University in China and Ruhr University Bochum in Germany, Jiaqi has consistently demonstrated exceptional talent and commitment. 📚🌍 His work focuses on cutting-edge technologies like machine learning, wireless sensing, and numerical simulations in tunneling projects. He is a recipient of numerous awards for his academic excellence and research contributions. 🏆🌟 In his leisure time, Jiaqi enjoys exploring innovative approaches to solving complex engineering challenges. 💡⚙️
Professional Profiles
ORCID
Scopus
Education 
Jiaqi Chang embarked on his academic journey at Tongji University, earning a Bachelor of Engineering in Civil Engineering in 2019, ranking an impressive 7th out of 429 students. 🏅📐 He deepened his expertise with advanced coursework in soil mechanics, rock mechanics, structural mechanics, and mathematical modeling. 🌟✏️ Currently, he is pursuing dual doctoral degrees at Tongji University, China, and Ruhr University Bochum, Germany, with anticipated graduation dates in June 2025. 🌍 His education integrates rigorous training in tunnel engineering and computational modeling, preparing him for impactful research and innovation in his field. 💡🔬
Professional Experience
Jiaqi Chang’s career is marked by a blend of research, practical application, and collaboration on high-profile projects. 🌐 He has actively contributed to Chinese national and international research initiatives, focusing on safety risks in shield tunnels, adaptive intelligent construction technologies, and undersea tunnel diagnostics. 🌊🏗️ His responsibilities include analyzing disturbances caused by tunnel construction, intelligent sensing, and mechanical analysis. As a skilled communicator, Jiaqi has delivered oral presentations at prestigious conferences such as ECSMGE 2024 and ISGSR 2022. 🎤📊 His hands-on approach and academic rigor make him a standout in his field. 💪✨
Research Focus 🔍
Jiaqi’s research delves into the intersection of traditional civil engineering and advanced computational methods. 🌐💻 His work in shield tunneling construction leverages physics-informed machine learning, wireless sensing, and numerical simulation to address real-world challenges. 🚇📈 He also explores surrogate modeling to optimize tunnel designs, ensuring safety and efficiency. 🛠️📉 His interdisciplinary approach integrates engineering principles with data-driven technologies, aiming to revolutionize geotechnical practices. 🔄💡
Awards and Honors
Jiaqi Chang’s dedication has been recognized with several accolades, including the Scholarship of Outstanding Doctor at Tongji University (2019, 2023) and the prestigious China Scholarship Council award in 2022. 🎖️💼 His achievements extend to international competitions, such as the ISSMGE TC304 Student Contest, where he won an Excellent Award in 2021. 🌎⚙️ Notably, he received the 1st Prize in the Concrete Canoe Competition at the ASCE Mid-Pacific Student Conference in 2018. 🚤✨ These honors reflect his excellence in academic performance and innovative research contributions. 🌟📜
Conclusion 
Jiaqi Chang exemplifies the qualities of a distinguished researcher with a rare combination of theoretical depth and practical impact. His prolific contributions to tunneling and underground engineering, coupled with his pioneering use of machine learning and advanced modeling, make him a strong candidate for the Best Researcher Award. Continued expansion into multidisciplinary collaborations and global initiatives will only further solidify his position as a leader in his field.
Publications to Noted
Improved model-free adaptive control of shield machine posture during tunnelling
Authors: Hongwei Huang, Jiaqi Chang, Dongming Zhang, Markus Thewes, Wei Lin
Year: 2025
Journal: Advanced Engineering Informatics
Deformational behaviors of existing three-line tunnels induced by under-crossing of three-line mechanized tunnels: A case study
Authors: Jiaqi Chang, Markus Thewes, Dongming Zhang, Hongwei Huang, Wei Lin
Year: 2024
Journal: Canadian Geotechnical Journal
Data-Based postural prediction of shield tunneling via machine learning with physical information
Authors: Jiaqi Chang, Hongwei Huang, Markus Thewes, Dongming Zhang, Wu H.M.
Year: 2024
Journal: Computers and Geotechnics
Machine learning-based automatic control of tunneling posture of shield machine
Authors: Hongwei Huang, Jiaqi Chang, Dongming Zhang, Zhang J., Wu H.M., Li G.
Citations: 60 (Google Scholar)
Year: 2022
Journal: Journal of Rock Mechanics and Geotechnical Engineering
Transverse deformational behaviors of segmental lining during shield tunneling: A case study
Authors: Jiaqi Chang, Hongwei Huang, Dongming Zhang, Wu H.M., Yan J.Y.
Year: 2022
Journal: Structural Control & Health Monitoring
A hybrid sensing of rotation-induced stress of segmental lining during shield tunneling via WSN and surrogate numerical modeling
Authors: Jiaqi Chang, Dongming Zhang, Hongwei Huang, Jia J.W.
Year: 2023
Journal: Tunnelling and Underground Space Technology