Mr. Jiaqi Chang is currently pursuing a Doctor of Engineering degree in Tunnel and Underground Engineering at Tongji University, Shanghai, China (2019–2025), with a joint doctoral program at Ruhr University Bochum, Germany (2022–2025). He previously completed his Bachelor of Engineering in Civil Engineering at Tongji University in 2019, graduating with an outstanding ranking of 7th out of 429 students. His academic training includes a strong foundation in subjects such as Soil Mechanics, Rock Mechanics, Tunnel Engineering, and Numerical Analysis, equipping him with advanced technical knowledge in geotechnical and underground infrastructure.
👩🏫 Experience
Mr. Chang has contributed extensively to high-impact research projects, including the Chinese National Natural Science Foundation, where he analyzed structural disturbances during tunneling, and a Chinese National Key R&D Program focused on intelligent diagnostics for undersea tunnels. Additionally, he supported adaptive shield machine control technologies in a Shanghai Science Commission project. His doctoral journey has been enriched with international exposure and active collaboration in both academic and professional tunneling communities.
📚 Skills
Mr. Chang demonstrates multidisciplinary expertise in numerical simulation, machine learning, and physics-informed modeling. He possesses strong analytical and programming skills, particularly in Python for mathematical modeling, along with experience in wireless sensor networks and structural health monitoring. His work integrates theoretical mechanics with real-world tunnel construction practices, making him adept at combining data-driven techniques with physical principles for predictive modeling and control.
🛰️ Research Focus
Mr. Chang’s research lies at the intersection of tunnel engineering and intelligent computation. His interests include shield tunneling construction, physics-informed machine learning, numerical and surrogate modeling, and wireless sensing for geotechnical applications. His publications in Q1 journals explore deformation behaviors in shield tunneling, control strategies for TBMs, and predictive modeling using AI techniques like SVMs, transformers, and clustering algorithms. He continues to advance the field by bridging traditional geotechnical engineering with modern data-driven approaches for safer, smarter underground infrastructure.
🏆 Awards and Honors
Jiaqi Chang has been recognized with several prestigious awards throughout his academic career. He is a two-time recipient of the Outstanding Doctor Scholarship at Tongji University (2019, 2023) and was awarded the China Scholarship Council Scholarship in 2022. His research excellence earned him awards from ISSMGE TC304 contests in 2021 and national-level honors such as the Shanghai Outstanding Graduates Award. Additional distinctions include the BAOSTEEL Outstanding Student Award, Tongji Excellence Scholarship, and a 1st Prize in the ASCE Mid-Pacific Concrete Canoe Competition.
📚Publication