The gold medal-winning team this time, "AeroSense AI," was jointly supervised across disciplines by Distinguished Professor Hsu Yung-Ho of the Department of Computer Science and Information Engineering and Assistant Professor Huang Pei-Wen of the Department of Applied Foreign Languages. Their award-winning project, "A Portable Ground Maintenance Assistance System Combining Generative AI," uses a large language model (LLM) with algorithms and semantic analysis to transform complex technical texts into visualized decision-making logic, assisting ground crew personnel with maintenance interpretation and fault diagnosis.

​The bronze medal-winning project, "SkyAudit: An Intelligent UAV Inspection System with Dynamic Flight Path Planning," was developed by a faculty-student team led by Associate Professor Chuang Wen-Ho of the Department of Computer Science and Information Engineering at NFU. This project demonstrates the integration of "Edge AI and dynamic path-planning algorithms," focusing on software-side "path optimization" and "real-time image interpretation," showcasing the department's depth of research in defining movement logic through virtual algorithms.

In addition, "Gait Abnormality Monitoring," co-supervised by Associate Professor Lin Wu-Chieh of the Department of Computer Science and Information Engineering and Assistant Professor Chien Nai-Hui of Chang Gung University of Science and Technology, also received an Honorable Mention. This project uses AI to analyze gait abnormalities, expanding the potential applications of artificial intelligence in precision medical care and health monitoring. The team supervised by Distinguished Professor Hsu Yung-Ho also received Honorable Mentions for their projects "Virtual-Real Interactive Smart Table Tennis Training System" and "Generative AI Intelligent Grading and Personalized Exercise Prescription System."

The Department of Computer Science and Information Engineering at NFU pointed out that these award-winning projects reflect three strategic directions the department has pursued in recent years in AI application research and development. The first is "software-defined diagnostics" capability, using generative AI technology to develop digital logic diagnostic tools for industries with highly complex technical specifications. The second is a "general-purpose algorithm framework," promoting highly transferable AI algorithms and edge computing technologies that can be applied across diverse fields such as drones, intelligent inspection, and sports technology. The third is "digital twins and data-driven approaches," which center on data to develop data-driven decision support systems, strengthening capabilities in information processing, pattern recognition, and real-time analysis.

The Department of Computer Science and Information Engineering at NFU stated that these awards mark the department's mature standing in AI software engineering. Going forward, the department will continue to strengthen the role of information science as a "digital navigator" in industrial transformation, leveraging its solid foundation in software research and development to provide core digital solutions for Taiwan's wave of smart transformation.

Article and photos provided by: Department of Computer Science and Information Engineering