The program focuses on three primary areas. First, in the area of AI in Medical Imaging, students will explore how AI revolutionizes diagnostics and treatment planning by improving accuracy, speed, and reliability. The program will focus on cutting-edge techniques such as deep learning for image segmentation, anomaly detection, and 3D reconstruction of medical scans. Participants will have opportunities to work on projects like early detection of cancer using AI-assisted MRI scans, monitoring neurological disorders with AI-powered analysis of CT or PET scans, and creating personalized treatment plans using predictive modeling. By integrating AI with traditional medical workflows, the program aims to enhance the precision of diagnoses, reduce time-to-treatment, and ultimately improve patient outcomes and life expectancy. Collaborations with hospitals like Chang Bing SHow Chwan Memorial Hospital will allow students to engage with real-world case studies and clinical data. Second, AI in Smart Agriculture, where participants will engage with AI-driven precision farming technologies that address global challenges in food security and sustainability. The program will explore the use of machine learning algorithms to predict crop yields, detect pest infestations, and monitor soil health in real time. Students will gain hands-on experience in projects such as designing IoT-enabled systems for automated irrigation, integrating satellite imagery with AI for large-scale crop management, and developing climate-resilient farming practices using AI-powered data analysis. These innovations aim to optimize resource use, reduce waste, and ensure a steady supply of safe and nutritious food. Partnerships with agricultural enterprises like Huy Ho’s Aquaponic Farm in Vietnam will provide participants with practical exposure to sustainable farming practices and AI's role in transforming agriculture. And third, AI in Biomedical Engineering. In which, participants will explore how AI is reshaping the field of biomedical engineering by enabling the design of smarter, more efficient healthcare technologies. The program will cover advanced topics such as AI-driven signal processing for biomedical devices, predictive modeling for personalized medicine, and robotics in healthcare. Students will work on projects like developing intelligent prosthetics that adapt to users' movement patterns, AI-powered wearable health monitors for continuous tracking of vital signs, and rehabilitation robots that use machine learning to optimize recovery plans for patients. The program will also focus on integrating AI with Internet of Things (IoT) devices to create comprehensive health monitoring systems. For instance, participants might collaborate on building systems that combine data from wearable devices, such as ECG sensors and glucometers, with AI algorithms to detect early signs of chronic conditions like diabetes or heart disease. The program emphasizes practical experience through collaborations with organizations such as Vinh Duc General Hospital in Vietnam, Huy Ho’s Aquaponic Farm in Vietnam, and several medical device companies and hospitals in Taiwan. These partnerships will allow students to work on real-world projects, interact with experts across fields, and develop innovative solutions to address global challenges. Additionally, students will have the opportunity to experience Taiwan’s vibrant culture while collaborating with international peers.