Li Fanzheng and Zou Zhe’s iOptiCrane project showcases the power of AI in solving complex structural engineering challenges. Tasked with automating tower crane layouts, Fanzheng refined the AI training and UI design, while Zhe developed the core optimization models. They navigated significant data hurdles by leveraging institutional support from professors Tarek, Chi, and Geoffrey. Through this process, they gained invaluable experience in team communication and user-centric design—skills often missed in traditional coding curricula. Their iterative approach transformed a conceptual AI model into a professional-grade tool. By bridging the gap between academic theory and construction practice, Fanzheng and Zhe have built a foundation for future research careers dedicated to making global infrastructure safer and more efficient.
